MeitY has opened applications for GENESIS Entrepreneur-in-Residence Cohort 3, also called GENESIS EIR 3.0. The programme offers financial support of up to Rs. 10 lakh to early-stage innovators, students, researchers and startup founders who are building technology-led ideas.

The programme was launched at the GENESIS NextGen Startup Summit, Coimbatore Edition, held at Rathinam Global University on August 4, 2026. Applications are open from August 4 to September 3, 2026.

What is GENESIS EIR 3.0

GENESIS EIR 3.0 is part of MeitY’s wider Gen-Next Support for Innovative Startups scheme. The larger GENESIS scheme has a budget outlay of Rs. 490 crore and focuses on growing the startup ecosystem in Tier 2 and Tier 3 cities.

The EIR part is meant for people who are still in the early stage of building. They may have an idea, proof of concept, prototype, MVP or early validation, but may not yet have enough funding, mentoring or incubation support.

In simple words, this programme helps promising tech founders move from “I have an idea” to “I have something I can test in the market.”

Aim of the programme

The main aim of GENESIS EIR 3.0 is to support technology startups outside the usual metro startup hubs. Many talented founders in smaller cities do not get easy access to investors, mentors, labs, networks or early grants.

This programme tries to reduce that gap. It gives selected innovators funding, incubation access, expert guidance and help with product development.

For example, a student in Coimbatore building an AI tool for farmers, or a young founder in Bhilai working on an IoT device for factories, may use this support to build a prototype, test it with users and prepare for the next stage.

Who can apply

GENESIS EIR 3.0 is open to Indian citizens who are aspiring entrepreneurs, early-stage innovators, students, researchers, startup founders or co-founders.

The idea should be in electronics, IT, ICT or deep-tech areas. Focus sectors include AI and machine learning, IoT, semiconductor and VLSI, cybersecurity, blockchain, quantum technologies, AR and VR, spatial technologies and other emerging technology fields.

The innovation should generally be at Technology Readiness Level 1 to 4. In simple words, this means the idea can be at concept, proof of concept, prototype, MVP or early testing stage.

The startup should be based in a Tier 2 or Tier 3 city. If already incorporated, it should be less than two years old on the application date. The applicant should also not have received more than Rs. 10 lakh from any central or state government scheme for the same idea or startup.

What support will selected founders get

Selected applicants can receive up to Rs. 10 lakh in financial assistance. They will also get incubation support through participating GENESIS incubators.

The programme includes one-on-one mentoring, product development support, MVP building help, prototype guidance, market validation support and ecosystem connections.

This matters because early-stage founders often need more than money. They need someone to help them sharpen the product, understand customers, prepare a business plan and avoid basic mistakes.

How to apply

Applicants can apply online through the MeitY Startup Hub portal. The official application window is open until September 3, 2026.

Before applying, founders should prepare a clear note about their idea, problem statement, target users, technology stage, team background, product plan and how the solution can become a startup.

Similar programmes

GENESIS EIR 3.0 sits in the same broad support space as Startup India Seed Fund Scheme, Atal Innovation Mission, TIDE 2.0 and state-level startup grants. Its sharper focus is on early tech innovators from Tier 2 and Tier 3 cities.

Conclusion – Key takeaways

GENESIS EIR 3.0 is a useful opportunity for early-stage tech founders who need funding and guidance before approaching larger investors.

The programme offers up to Rs. 10 lakh support, mentoring and incubation access. It is best suited for founders building in AI, IoT, semiconductors, cybersecurity, blockchain, quantum tech, AR/VR and other emerging technology areas.

Facts Input- PIB, MeitY-GENESIS, MeitY Startup Hub application portal

Micromax Informatics has launched a Rs. 250 crore family office to invest in deep-tech startups in India and global markets. The move marks a fresh chapter for the homegrown electronics company, which is now looking beyond smartphones and consumer devices.

The new investment platform will support startups working in areas such as artificial intelligence, semiconductors, defence technology, space technology and robotics. These are not easy sectors. They need more time, deeper research, stronger engineering and patient capital.

What Micromax wants to do

Micromax wants to back startups that are building difficult but useful technologies. Deep-tech simply means technology based on serious science, engineering or hardware innovation.

For example, a startup building a defence drone, a chip design platform, a robotic system for factories, or a satellite component may need years of testing before it becomes a large business. Such companies often need more than money. They need manufacturing help, industry contacts, supply-chain access and technical guidance.

This is where Micromax believes it can add value.

Micromax background

Micromax Informatics was founded in 2000. Its key co-founders include Rahul Sharma, Rajesh Agarwal, Sumeet Kumar and Vikas Jain.

The company became widely known in India for affordable mobile phones and later expanded into electronics, manufacturing and newer technology businesses. Its wider group includes Bhagwati Products and MiPhi Semiconductors, which may help selected startups with manufacturing and semiconductor-related support.

Purpose of the Rs. 250 crore family office

The family office will mainly invest in startups from pre-Series A to Series B stage. That means it will support companies that are past the idea stage but still need capital to build, test, scale and sell their products.

Reports suggest the average initial cheque size may be around Rs. 10 crore to Rs. 20 crore. Micromax has already started deploying capital across its focus sectors.

The purpose is not only to earn financial returns. The move also fits India’s larger push to build more local capability in chips, defence, space and advanced manufacturing.

Why this move matters

Many deep-tech founders struggle because their products take longer to commercialize. A software app can sometimes launch in months. A semiconductor or robotics company may need labs, parts, certifications, factory partnerships and long customer trials.

If Micromax can give startups access to its manufacturing knowledge and supply-chain network, the support can be practical. A young robotics startup, for instance, may know how to build a prototype but may not know how to produce 5,000 units reliably. That is where an industrial backer can help.

Competitors and similar players

Micromax’s family office will operate in a space where other investors are also backing deep-tech and frontier-tech startups. These include Speciale Invest, pi Ventures, Industrial47, Ankur Capital, YourNest, Blume Ventures and Udtara Ventures.

The difference for Micromax could be its hardware and manufacturing background. If used well, that can make it more than just a financial investor.

Conclusion – Key takeaways

Micromax’s Rs. 250 crore family office is a clear bet on India’s next wave of hard technology startups.

The aim is to support founders building in AI, semiconductors, defence, space and robotics. The purpose of the move is to combine capital with manufacturing support, industry access and scale-up guidance.

If the strategy works, Micromax could help young deep-tech companies move from lab ideas to real products used in India and abroad.

Facts Input- India Manufacturing Review

Prime Minister Narendra Modi used his Independence Day 2026 speech from the Red Fort to put startups, young entrepreneurs and innovation at the centre of India’s growth story. According to an India Today report published on August 15, 2026, the Prime Minister announced a Rs. 1 lakh crore innovation fund to support young people with ideas and help them turn those ideas into businesses.

The announcement is important because startup funding in India is no longer only about food delivery apps, fintech products or quick consumer platforms. The next phase is expected to be more about deep technology, manufacturing, artificial intelligence, clean energy, semiconductors, biotech, space and advanced research.

For founders, the message is simple. If India wants to build world-class technology at home, promising ideas will need longer-term financial support. That is exactly where the Rs. 1 lakh crore innovation fund fits in.

What PM Modi announced

During his Independence Day address on August 15, 2026, PM Modi said the government had created a Rs. 1 lakh crore mechanism to support ideas, innovation and capability. The larger message was aimed at young entrepreneurs who may have strong ideas but lack the capital to develop them.

India Today reported that the announcement was part of a broader youth-focused push. The Prime Minister also spoke about AI training for one crore young people, free online coaching for competitive exam aspirants, and opportunities linked to Digital India, Skill India, the drone sector and the opening up of space.

This is why the fund should not be seen as a standalone headline. It sits inside a wider policy direction where the government wants Indian youth to build, research, manufacture and create jobs.

Is this a new fund or linked to the RDI Fund

The announcement is closely linked to the government’s Research, Development and Innovation Fund, commonly called the RDI Fund. Official records show that the Union Cabinet approved the Rs. 1 lakh crore RDI Scheme on July 1, 2025. It was formally launched by the Prime Minister on November 3, 2025.

So, the Independence Day 2026 announcement should be understood as a strong public push for the same innovation financing framework, especially for startups and young entrepreneurs.

The RDI Fund is planned over six years. It is designed to support private sector research, deep-tech startups and companies working on high-impact technologies. The fund is not meant only for small grants. It is meant to provide long-term capital for difficult technologies that may take years to become commercially ready.

Why this matters for Indian startups

Most startups need money. But deep-tech startups need a different kind of money.

A regular consumer startup may be able to launch a product, test it with users, change features quickly and show early revenue. A deep-tech startup works differently. It may need a lab, testing equipment, researchers, patents, safety approvals, pilots with large companies and manufacturing partners.

Take an electric vehicle battery startup as an example. It cannot simply build an app and launch it in a few weeks. It has to test battery chemistry, safety, charging performance, lifecycle, heat management and cost. That takes time and patient funding.

The same is true for startups building medical devices, drones, robotics, semiconductor tools, clean energy equipment or space technology. These areas are expensive, but they can also create serious long-term value for the country.

That is why the PM Modi Rs. 1 lakh crore innovation fund could matter. It can reduce the funding gap between an early idea and a product that is ready for the market.

Which sectors can benefit

The official RDI Fund framework focuses on sunrise and strategic sectors. These include artificial intelligence, quantum computing, robotics, space technology, biotechnology, biomanufacturing, pharmaceuticals, medical devices, energy transition, climate action and the digital economy.

AI in agriculture, health and education is also part of the focus area. This is important because India has many large public problems where technology can make a difference.

For example, an AI tool that helps farmers detect crop disease early can improve income and reduce waste. A low-cost medical device can help smaller hospitals. A robotics startup can support factories. A clean energy startup can help industries reduce fuel costs.

The automobile sector may also benefit indirectly. EV batteries, charging systems, vehicle electronics, lightweight materials and hydrogen technology all need research-led innovation. If the funding reaches strong companies in these areas, it can support India’s manufacturing ambitions.

How the process may work

The Rs. 1 lakh crore innovation fund is not expected to work like a simple online cash scheme where any founder can directly claim money.

As per official RDI Fund details, the structure works through the Anusandhan National Research Foundation, or ANRF. The Department of Science and Technology is the nodal ministry for implementation.

The fund uses a two-level model. Money is first routed to approved Second-Level Fund Managers, called SLFMs. These fund managers then support eligible startups, companies and research-led projects.

The Technology Development Board and the Biotechnology Industry Research Assistance Council have already been approved as SLFMs. In simple language, TDB may support wider technology commercialization, while BIRAC is more focused on biotechnology and life sciences.

This means founders should not only watch government announcements. They should track official calls from TDB, BIRAC, ANRF and future approved fund managers.

What founders should prepare

A startup that wants to apply should first check whether its product has a strong research or technology component. The fund is more suitable for serious innovation than for ordinary trading, resale, content or basic service businesses.

Founders should prepare a clear problem statement. They should explain what they are building, why it is different, what stage the technology has reached and how it can become commercially useful.

They should also keep technical proof ready. This may include prototypes, lab results, pilot data, patent filings, customer letters, testing reports or partnerships with research institutions.

Financial planning will be equally important. A founder should be able to explain how much funding is needed, where the money will go, what milestones will be achieved and how the company plans to earn revenue later.

A practical example would be a startup building an Indian-made medical sensor. A strong application would not only say “we are building a sensor”. It would show test results, target hospitals, expected price, regulatory path, manufacturing plan and why the product is better or cheaper than existing options.

Latest implementation status

The RDI Fund has already started moving from announcement to execution. A PIB update from July 2026 said TDB and BIRAC had each been sanctioned Rs. 1,000 crore under the RDI Fund.

The same update said Rs. 500 crore was disbursed to TDB in March 2026 for investment in eligible technology entities. TDB had approved 22 projects with total project cost of Rs. 4,744 crore, including RDI Fund support of Rs. 2,192 crore. BIRAC had shortlisted eight projects involving support of Rs. 390.35 crore.

This is a useful detail because it shows that the fund is not just a speech point. The funding machinery has started, though founders still need to follow formal calls and eligibility rules.

Conclusion with key takeaways

PM Modi’s Rs. 1 lakh crore innovation fund announcement on Independence Day 2026 gives India’s startup ecosystem a strong policy signal. The government wants more young entrepreneurs to build serious technology, not just quick digital products.

Key takeaways –

• PM Modi announced the Rs. 1 lakh crore innovation fund during his Independence Day 2026 speech.
• The announcement is linked to India’s wider RDI Fund framework for research, development and innovation.
• The fund is focused on deep-tech, AI, biotech, space, robotics, clean energy, medical devices and strategic technology areas.
• Startups may access support through approved fund managers such as TDB and BIRAC.
• Founders should prepare technical proof, clear milestones, funding plans and market use cases before applying.

Meta has released Muse Glimmer, a new open-weight AI model designed to run on regular laptops and PCs. That one line is enough to make the launch interesting, because most powerful AI tools today still depend on cloud servers, paid APIs, or large data centres.

Muse Glimmer is Meta’s latest move in the open AI race. The company wants developers, students, researchers, and smaller businesses to have more control over how they use AI models. Instead of keeping everything locked behind a private system, Meta is again pushing the idea that more people should be able to download, study, and modify powerful AI tools.

With Muse Glimmer, we need to understand where AI is moving next. If useful AI can run directly on personal devices, laptops may become smarter work machines, not just screens connected to cloud apps.

What is Meta Muse Glimmer

Meta Muse Glimmer is a compact AI model from Meta’s Muse family. It is built to handle tasks such as reasoning, coding, planning, and everyday computer-based work.

In simple words, it is an AI model that can help with thinking and doing. It may help write code, organize files, draft emails, check information, plan workflows, or support small software tasks.

The most important part is that Muse Glimmer is described as an open-weight model that can run on a standard laptop or PC. That makes it different from many large AI systems that need expensive server hardware.

Open-weight does not always mean fully open-source. This is an important difference. In an open-weight model, the model’s trained parameters are shared so developers can download and use them. But the full training data, training method, or internal development process may not be completely public.

So, Muse Glimmer gives more freedom than a closed chatbot, but it may not mean everything behind the model is open.

Why running AI on laptops matters

Most people use AI through cloud-based tools. You type a prompt, the request goes to a server, and the answer comes back. This works well, but it has some limits.

First, it needs internet. Second, it can cost money at scale. Third, users may not want to send sensitive files, personal notes, or business documents to a cloud service.

A laptop-friendly AI model can reduce some of these problems. If the model runs locally, it can work faster for some tasks, give more privacy, and allow developers to build tools without paying for every single request.

For example, a small business owner could use a local AI assistant to sort customer queries, prepare invoices, or draft product descriptions. A student could use it to understand code without depending fully on an online chatbot. A developer could build a private helper for internal documents.

This is why Muse Glimmer is not just another model launch. It points toward a future where AI becomes part of the device itself.

How Muse Glimmer is connected to Muse Spark

According to reports, Muse Glimmer was developed using a method called distillation from Meta’s more powerful Muse Spark model.

Distillation is easier to understand with a classroom example. Imagine a senior teacher has deep knowledge, but it is not practical for every small school to hire that teacher. So the teacher’s knowledge is simplified into a useful guide that junior teachers and students can use more easily.

In AI, distillation means a smaller model learns from a larger model. The aim is to keep much of the usefulness while making the smaller model cheaper and easier to run.

Meta had earlier introduced Muse Spark as part of its Meta Superintelligence Labs work. Muse Spark 1.1 is designed for coding, tool use, computer tasks, and multimodal work, which means it can work with more than just text. Meta has also made Muse Spark available through the Meta Model API for developers in public preview.

Muse Glimmer looks like the lighter, more accessible member of this family.

Why Meta is pushing open-weight AI again

Meta has a long history with open AI models through its Llama series. The company gained strong developer attention by releasing models that people could download and build with.

With Muse Glimmer, Meta seems to be returning strongly to that approach. Mark Zuckerberg has argued that AI should not be controlled only by a few companies or governments. His recent essay, “The Future Is for Everyone,” presents Meta’s view that personal AI tools should be widely available.

This is also a business strategy. If many developers build apps using Meta’s models, Meta can become an important part of the AI ecosystem. It may not need to win every paid chatbot battle directly. It can still benefit if its models become widely used across apps, devices, and developer tools.

Who can use Muse Glimmer

Muse Glimmer may be useful for people who want more control over AI.

Developers can test it for local coding assistants, offline tools, automation, and private apps. Researchers can study how smaller models behave. Startups can build prototypes without depending completely on expensive cloud models. Power users can experiment with personal AI workflows on their own machines.

A practical example would be a freelance developer building a local assistant that reads project files and suggests fixes. Another example could be a small accounting firm using a private AI tool to summarize documents without uploading everything to a third-party server.

Of course, performance will depend on the laptop, memory, setup, and the model’s actual size. A normal office laptop may handle smaller tasks, while heavier use may need stronger hardware.

Competitors and market landscape

Meta is not alone in this race. OpenAI, Anthropic, Google, Mistral, DeepSeek, Alibaba, and several other companies are fighting for developer attention.

OpenAI and Anthropic mainly offer powerful closed models through apps and APIs. Google has Gemini models and strong cloud integration. Mistral has become known for open-weight models in Europe. DeepSeek and Alibaba’s Qwen models have pushed low-cost and open-weight AI from China into global developer discussions.

Meta’s advantage is its large user base, strong AI research teams, and history of developer adoption through Llama. Its challenge is trust. Some developers like open-weight models, but critics worry about safety, misuse, copyright, and the control Meta may still have over the larger ecosystem.

What this means for normal users

For everyday users, Muse Glimmer may not immediately feel like a new app they can download and use in one click. The first wave will likely matter more to developers and technical users.

But over time, laptop-ready AI models can change normal software. Your writing app may get a private assistant. Your coding tool may work better offline. Your personal finance app may analyze spending without sending data outside your device. Your laptop may handle more tasks even when the internet is weak.

That is the real promise of local AI – more useful tools, less waiting, and better control over private data.

Conclusion with key takeaways

Meta Muse Glimmer is important because it brings the AI conversation closer to personal devices. Instead of keeping advanced AI only in the cloud, Meta is showing that smaller, capable models can run on laptops and PCs.

It is still early, and users should wait for more technical details, real-world testing, and independent reviews. But the direction is clear. AI is moving from big servers toward personal machines.

Key takeaways –

• Meta Muse Glimmer is an open-weight AI model built for laptops and PCs.
• It is designed for reasoning, coding, planning, and computer-based tasks.
• Open-weight means developers can access model weights, but it is not always the same as fully open-source.
• Muse Glimmer is reportedly distilled from Meta’s stronger Muse Spark model.
• The model could help developers build more private, local AI tools.
• Meta is competing with OpenAI, Anthropic, Google, Mistral, DeepSeek, Alibaba, and others in the AI model race.

Facts Input- BI, AP News, The Guardian

Accel has raised $550 million for its ninth India-focused early-stage fund, showing that large venture investors still see strong promise in India’s startup market. The new fund comes just 18 months after Accel closed its earlier $650 million India fund.

The timing is worth watching. Startup funding has become more careful over the last few years. Investors are asking harder questions about revenue, margins and public-market exits. Even then, Accel is adding fresh capital for Indian founders, mainly at the seed and early stages.

For young startups, this matters because early capital can decide how fast a company builds its product, hires its first team and finds paying customers. Accel’s new fund is meant to support that first serious phase of company-building.

What Accel’s New India Fund Means

Accel’s ninth India fund is a $550 million pool of capital focused on early-stage startups. In simple words, the firm will use this money to invest in young companies that are still building their product, market and team.

According to report, Accel expects to back around 15 to 30 companies every year through its India strategy. The firm generally prefers to enter early, often when a startup is raising its first institutional money.

That is important because early investors usually do more than provide funds. They help founders think through product direction, hiring, pricing, fundraising and expansion.

For example, a founder building an AI tool for banks may have a strong product idea but may not know how to sell to large financial institutions. A venture fund with experience in fintech and enterprise software can help with early customer introductions, hiring plans and later funding rounds.

Accel – Founders And India Journey

Accel was founded in 1983 by Arthur Patterson and Jim Swartz. The firm is headquartered in Palo Alto and has backed major global technology companies over the years.

Its India journey started in 2005, when the country’s digital economy was still small compared with today. Accel later built a deeper India presence and became one of the best-known early backers of Indian startups.

Accel’s India portfolio includes names such as Flipkart, Freshworks, Swiggy, Urban Company, BlackBuck, BrowserStack, Acko, Zetwerk and BlueStone. These investments gave the firm a strong reputation for spotting companies early and staying with them as they grow.

Why The $550 Million Fund Matters

This fund matters for two reasons.

• First, it shows that India remains an important market for global venture capital. Accel has now raised $1.2 billion for India in about 18 months, including the previous $650 million fund and the new $550 million fund.
• Second, it comes at a time when exits are becoming more visible in India. Accel has seen five of its portfolio companies list in India, with more in the pipeline. Public listings are important because they give investors a route to return money to their own backers.

In venture capital, this is a big deal. Investors do not only need startups to grow. They also need exits through IPOs, acquisitions or secondary share sales. A healthier IPO market makes it easier for funds to keep investing in new companies.

Aim And Purpose Of Accel’s Ninth India Fund

The main aim of Accel’s ninth India fund is to keep backing early-stage founders in India before their companies become obvious winners.

Accel is expected to stay close to its core style – investing early, taking long-term bets and supporting startups through later rounds when needed. The firm has said earlier that it likes to be among the first serious partners for founders.

The new fund also helps Accel stay ready when good opportunities appear. The firm still has a large part of its previous $650 million India fund left to deploy. So this new fund is not about rushing into deals. It is more about keeping capital available for the next cycle of strong companies.

That is a practical move. In startups, the best companies do not arrive on a fixed schedule. A fund needs dry powder, which simply means money available to invest when the right founder and market appear.

Key Sectors Accel Will Focus On

Artificial intelligence will be a major focus area for the new fund. Accel is expected to look at AI across consumer products, financial services and manufacturing.

This is not surprising. AI is changing how products are built. A small team can now create tools that earlier needed a much larger engineering team. That can make startups faster and more capital-efficient.

Fintech will also remain important. India’s digital payments, lending, wealth and insurance markets continue to create space for new companies.

Manufacturing is another area to watch. Accel has backed companies in supply chain, industrial technology and manufacturing before. With India trying to grow its manufacturing base, startups in this field can solve real problems around procurement, automation, logistics, quality checks and financing.

Deeptech and advanced manufacturing are also emerging themes. These areas may take longer to build, but they can create strong companies if the technology works and the market is ready.

Why Accel Is More Careful On Consumer Brands

Accel is still interested in consumer startups, but it appears to be more selective in brands and consumer products.

The reason is simple. Many consumer brands can grow quickly at first, but they may hit a ceiling if the market size, margins or repeat purchases are not strong enough. Venture investors usually look for companies that can become very large.

That does not mean consumer startups are out of favour. It means investors may ask sharper questions. Is the product loved by customers? Can the brand expand beyond one category? Are margins healthy? Can the company grow without spending too much on marketing?

Accel may still back strong consumer outliers, but the bar is higher.

Competitors And Market Context

Accel is not alone in raising fresh India-focused capital. The Indian venture market includes strong players such as Peak XV Partners, Lightspeed, Elevation Capital, Matrix Partners India, Blume Ventures, Stellaris Venture Partners and Nexus Venture Partners.

Elevation Capital recently closed a $500 million ninth India-focused fund, showing that other established funds are also preparing for the next wave of early-stage startups.

Peak XV, formerly Sequoia India and Southeast Asia, remains one of the biggest names in the region. Lightspeed has also been active across consumer, fintech, enterprise and AI-led companies.

For founders, this competition is good. More active funds mean more choices. But it also means founders must be sharper about their business model, customer need and growth plan.

What This Means For Indian Founders

For Indian founders, Accel’s new fund is a positive signal, but not a free pass.

Investors are still selective. A startup needs more than a trendy idea. It needs a real problem, a strong team and some proof that customers care.

A founder building for AI, fintech, manufacturing or enterprise software may find more investor interest if the product solves a painful problem. For example, an AI tool that saves banks hours of manual document review may be more attractive than a generic chatbot with no clear buyer.

The message is clear. Capital is available, but it is chasing quality.

Conclusion With Key Takeaways

Accel’s $550 million ninth India fund shows that the firm continues to believe in India’s startup story. The fund will mainly back early-stage companies, with strong interest in AI, fintech, manufacturing, deeptech and selected consumer opportunities.

The real purpose of the fund is not just to write cheques. It is to find young companies early and help them grow into large, durable businesses. With more Indian startups reaching IPO stage, Accel has another reason to keep investing in the country.

Key takeaways –

• Accel has raised $550 million for its ninth India-focused early-stage fund.
• The fund comes 18 months after Accel’s earlier $650 million India fund.
• Accel was founded in 1983 by Arthur Patterson and Jim Swartz.
• The firm began investing in India in 2005.
• AI, fintech, manufacturing, advanced manufacturing and deeptech are expected to be key focus areas.

Facts Input- ToI

Piper Serica has raised Rs. 300 crore in the first close of its Bharat Tech Fund, a new deeptech-focused investment fund for Indian startups. The fund is targeting a total corpus of Rs. 800 crore.

This is an important update for India’s startup ecosystem because deeptech companies usually need more patient capital than regular software or consumer startups. They often build in difficult areas such as semiconductors, artificial intelligence, defence technology, spacetech, biosciences and fintech infrastructure.

Piper Serica is a Mumbai-based investment firm founded in 2003 by Abhay Agarwal. The firm already manages public market and startup investment strategies, and the Bharat Tech Fund is its larger push into India’s next phase of technology-led businesses.

What is Bharat Tech Fund

Bharat Tech Fund is Piper Serica’s new deeptech investment fund.

The fund plans to invest in startups at the Series A and Series B stage. These are companies that have usually moved beyond the idea stage and now need capital for product development, manufacturing, pilots, certifications, hiring and market expansion.

According to earlier fund launch details, Piper Serica plans to invest in around 22 companies. The expected cheque size is about Rs. 25 crore to Rs. 40 crore per startup.

This is meaningful because many deeptech startups in India struggle after seed funding. They may have strong technology, but need larger capital before customers, defence agencies, enterprises or global buyers can adopt their products at scale.

Why the Rs. 300 crore first close matters

A first close means the fund has secured enough investor commitments to start investing.

By raising Rs. 300 crore in its first close, Piper Serica has shown that Indian family offices, wealthy investors and long-term capital providers are becoming more comfortable with deeptech investing.

This is a shift. Earlier, many investors preferred faster-moving internet businesses because they could scale quickly. Deeptech is different. It takes longer, needs testing, and may involve hardware, research, regulation and complex sales.

But if successful, deeptech companies can build strong intellectual property and global businesses from India.

Aim and purpose of the fund

The main aim of Bharat Tech Fund is to back Indian founders building serious technology companies.

These are not startups that only create an app or resell software. The fund is looking at companies that build original technology, engineering capability and defensible products.

The focus areas include artificial intelligence, semiconductors, spacetech, defence technology, fintech infrastructure and biosciences. These sectors are important for India’s long-term technology independence.

For example, a semiconductor startup may need money for chip design validation. A defence-tech startup may need field trials. A spacetech company may need capital for hardware testing. A bioscience startup may need research partnerships and regulatory work.

Bharat Tech Fund wants to support such companies when they are ready to move from early promise to serious scale.

Why India needs deeptech funds

India has strong engineering talent, but deeptech companies need more than talent.

They need labs, patient investors, manufacturing partners, testing facilities, government connections, enterprise customers and technical mentors. They also need investors who understand that revenue may take time.

A normal consumer startup may launch quickly and improve based on user feedback. A drone, chip, battery, satellite or biotech startup cannot move that way. One product cycle may take months or years.

This is why dedicated deeptech funds are important. They can understand technical risk better than general investors and give founders the right kind of support.

How Piper Serica may find startups

Piper Serica has said it works with institutions and innovation platforms such as IIT Madras, IIT Delhi, IIT Bombay, IISc Bengaluru, iDEX, IN-SPACe and DRDO-linked ecosystems.

This is important because many deeptech ideas begin inside research labs, engineering campuses and government-supported innovation programmes.

The firm also uses its own AI-assisted screening tool, Yoda.ai, to evaluate startups. But in deeptech, software screening alone is not enough. Investors also need technical review, founder assessment, market study and customer validation.

Piper Serica’s approach appears to mix research networks, institutional sourcing and disciplined investment checks.

Competitors

Bharat Tech Fund is entering a growing deeptech investment market.

Other investors active in India’s deeptech space include Speciale Invest, pi Ventures, Endiya Partners, Blume Ventures, 3one4 Capital, Celesta Capital, growX Ventures and deeptech-focused arms of larger firms.

Recent fund launches by firms such as Fundamentum and Shastra VC also show rising investor interest in AI, defence, spacetech, climate tech and advanced engineering startups.

This competition is healthy. India needs more capital at different stages: seed, Series A, Series B and growth. Deeptech founders often struggle most when they move from prototype to commercial deployment. Funds like Bharat Tech Fund can help fill that gap.

Future impact

If Bharat Tech Fund is deployed well, it can help create stronger Indian technology companies in strategic sectors.

The impact may show up in several ways. India may see more startups building chips, defence systems, AI infrastructure, satellite tools, biotech platforms and fintech rails. Some may serve Indian markets first. Others may sell globally.

The fund can also help create high-quality jobs for engineers, scientists, product leaders and manufacturing teams.

But success will depend on selection and patience. Deeptech investing is risky. Not every promising technology becomes a large business. The winners need strong founders, real customer demand, technical depth and capital discipline.

Conclusion with key takeaways

Piper Serica’s Rs. 300 crore first close for Bharat Tech Fund is a strong signal for India’s deeptech ecosystem. The fund is targeting Rs. 800 crore and plans to back Series A and Series B startups working in sectors that can shape India’s technology future.

The larger message is clear. India’s startup market is moving beyond apps and marketplaces. More capital is now flowing toward companies building hard, original and globally relevant technology.

Key takeaways –

• Piper Serica has raised Rs. 300 crore in the first close of Bharat Tech Fund.
• The fund is targeting a total corpus of Rs. 800 crore.
• It will focus on deeptech sectors such as AI, semiconductors, defence, spacetech, biosciences and fintech infrastructure.
• Piper Serica was founded in 2003 by Abhay Agarwal.
• The fund plans to invest in Series A and Series B startups, with expected cheques of around Rs. 25 crore to Rs. 40 crore.

Facts Input- Dealstreetasia

Google has selected 20 AI-powered Indian startups for the 2026 cohort of its Google Play Accelerator India programme. The selected startups are building across education, healthcare, gaming, agriculture, finance, ecommerce, productivity, lifestyle and entertainment.

The programme is three months long and equity-free, which means Google does not take ownership in the startups for participation. Instead, the selected companies get hands-on support from Google teams in areas such as AI integration, app quality, security, growth, monetization and global expansion.

This selection matters because Indian app startups are no longer building only for local users. Many are now using AI to solve everyday problems and also thinking about global markets from day one.

What is Google Play Accelerator India

Google Play Accelerator India is a startup support programme focused on app and game companies.

It is designed for Indian startups that already have a product, users and growth potential. The programme helps them improve their apps, use AI better, protect user data, grow faster and earn revenue through stronger monetization strategies.

For example, a learning app may need help improving AI-based practice sessions. A gaming startup may need support with user retention and in-app purchases. A health app may need better privacy and security systems. Google’s teams can guide founders on such problems through product reviews, technical sessions and growth support.

The 2026 cohort shows how deeply AI has entered India’s app ecosystem.

The 20 startups selected

The selected startups include Chaupal, ChennaiGames, Dalvoy, Frontier Markets, GAPE Labs, Grape, HeyDoc AI, Kisanwala, Lingopanda, LUZO, Machaxi, MetaShot, MindYourLogic Studios, MrMed, Plutus Labs Inc., Regain, Swipe, UrbanPro, Zave AI and Zet.

These startups cover a wide range of sectors.

Chaupal works in regional entertainment. ChennaiGames, GAPE Labs, MetaShot, MindYourLogic Studios and Plutus Labs are in gaming and interactive media. Dalvoy, Lingopanda and UrbanPro are focused on education. HeyDoc AI, Machaxi and MrMed are working in health. Kisanwala serves the agriculture market. Swipe, Zave AI, Zet and Frontier Markets work across finance, ecommerce and small business use cases.

This mix is interesting because it shows AI is not limited to one category. It is now entering farms, classrooms, clinics, games, shopping apps and small business tools.

Why Google selected these startups

Google’s aim is to support high-potential Indian app and game startups at a stage where practical guidance can make a big difference.

Many founders can build a good first version of an app. The harder part comes later. They need to improve speed, reduce bugs, use AI safely, protect user data, keep customers engaged and build a revenue model that actually works.

That is where an accelerator helps.

For instance, an app may have many downloads but poor retention. Another may use AI but give inconsistent results. A gaming startup may have a fun product but weak monetization. A health startup may need stronger security before scaling. Google Play Accelerator can help founders fix such gaps before they become bigger problems.

What kind of support startups get

The selected startups will receive support across AI, product quality, security, growth and monetization.

AI support is important because many startups are adding AI features quickly, but not all AI features are useful or reliable. Google can help founders improve how AI works inside their apps, whether it is for personalization, recommendations, chat, voice, content creation or automation.

App quality support can help with crashes, speed, design and user experience. Security support matters because apps now handle personal data, health information, payments and user behaviour.

Growth and monetization support can help startups understand how to acquire users, keep them active and earn revenue without hurting the user experience.

Why this matters for Indian users

For Indian users, this programme can lead to better apps.

A student preparing for government exams may get more personalized revision through an AI learning app. A farmer may access better input buying and machinery rental through an agritech platform. A family may use AI health tools to manage care better. A small business owner may invoice customers through WhatsApp and receive payments faster.

These are not luxury problems. They are everyday use cases.

If these startups improve through the accelerator, users may get apps that are faster, safer, more useful and easier to trust.

Why this matters for Indian startups

For startups, Google’s selection gives credibility.

Being part of the programme can help a young company attract customers, partners, investors and talent. It also gives founders access to expert advice that may otherwise be difficult or expensive to get.

This is especially useful for startups outside the usual SaaS or fintech bubble. Gaming, education, agriculture, health and regional entertainment companies often need different growth playbooks. Google Play’s app ecosystem knowledge can help them understand what works in India and what can scale globally.

The equity-free nature of the programme is also important. Startups can get support without giving up shares.

The bigger AI trend

The cohort reflects a larger trend in India. AI is moving from buzzword to product feature.

A few years ago, many startups used AI mainly for marketing. Now, founders are using it to improve core products. AI can help learners practise English, assist doctors with patient workflows, help shoppers find the right product, reduce doomscrolling, create games faster, or support rural commerce.

Google’s broader startup programmes in India have also focused on AI-first companies. The company’s 2026 Google for Startups Accelerator India cohort was selected from around 2,500 applications and focused on AI startups in areas such as climate, healthcare, finance, cybersecurity and developer tools.

This shows that India’s AI ecosystem is becoming deeper, not just larger.

Competitors and similar programmes

Google is not the only major player supporting Indian startups.

Microsoft supports startups through Microsoft for Startups Founders Hub and AI-focused cloud programmes. AWS runs startup accelerators and has also supported space-tech and AI startups in India. Meta has worked with Indian startups and developers around digital tools and AI. MeitY Startup Hub, T-Hub, Nasscom, Startup India and several private accelerators also support early-stage companies.

But Google Play Accelerator has a clear advantage for mobile-first startups. Google Play is one of the most important distribution platforms for Android apps in India. That gives Google direct insight into app quality, user behaviour, store performance, safety and monetization.

For app-based startups, that guidance can be very practical.

Challenges ahead

Selection is only the beginning.

The real test will be whether these startups can turn accelerator support into stronger products and real business growth. AI features must be accurate, useful and safe. Apps must protect user data. Gaming startups must balance engagement with responsible monetization. Health and finance apps must build deep trust.

Startups also need to avoid adding AI only because it sounds modern. Users care about outcomes. Does the app save time? Does it solve a real problem? Is it easy to use? Is it worth paying for?

The startups that answer these questions well will benefit most from the programme.

Conclusion with key takeaways

Google selecting 20 AI-powered Indian startups for Play Accelerator India 2026 is a strong signal for the country’s app economy. Indian founders are building beyond simple utility apps and using AI in education, health, gaming, agriculture, finance, ecommerce and entertainment.

The programme’s purpose is to help these startups improve AI integration, app quality, security, growth and monetization. For founders, it can bring sharper product thinking. For users, it can mean better and safer apps. For India, it supports the larger goal of building globally relevant digital products from within the country.

Key takeaways –

1. Google has selected 20 AI-powered Indian startups for Play Accelerator India 2026.
2. The programme is three months long and equity-free.
3. Selected startups will get support in AI integration, app quality, security, growth and monetization.
4. The cohort includes startups across education, healthcare, gaming, agriculture, finance, ecommerce, productivity, lifestyle and entertainment.
5. The selection shows how AI is becoming central to India’s mobile app ecosystem.

Facts Input- Google

India’s deep-tech startup ecosystem is becoming more serious, and IIIT-Hyderabad is playing an important role in that journey. The Centre for Innovation and Entrepreneurship, or CIE, at IIIT-Hyderabad has selected five deep-tech startups for the Avishkar Venture Studio Summer Cohort 2026.

This is not a normal startup accelerator where founders only attend pitch sessions and networking events. Avishkar is built for startups that are working on difficult technology problems. These may include artificial intelligence, robotics, computer vision, medtech, mobility, AR/VR, NLP and other research-heavy areas.

The selected five startups are expected to go through a six-month venture studio journey at CIE-IIIT Hyderabad. During this period, they will get access to mentoring, IIIT-Hyderabad faculty, labs, go-to-market support, investor networks and possible seed funding.

What is Avishkar Venture Studio

Avishkar Venture Studio is a deep-tech acceleration programme run by CIE at IIIT-Hyderabad. It is designed for startups that already have a proof of concept, early product or basic MVP.

In simple words, it supports founders who have moved beyond just an idea but still need help turning their technology into a real business.

The programme focuses on startups working in emerging technology areas such as AI, machine learning, computer vision, robotics, NLP, AR/VR, medtech, mobility and mediatech.

According to CIE’s public programme details, Avishkar offers a six-month structured journey. Startups may get up to Rs. 10 lakh seed funding, research connections with IIIT-Hyderabad faculty and labs, go-to-market guidance, revenue modelling support, business planning help, mentor access and investor connections.

The official Avishkar page also mentions that depending on the startup’s stage, pitch and technical validation, seed funding support can go up to Rs. 40 lakh.

Why these five startups matter

The five startups selected for the Summer Cohort 2026 represent a broader shift in Indian entrepreneurship. More founders are now building hard technology products, not just consumer apps or simple software tools.

Deep-tech startups usually solve complex problems. A robotics startup may build machines that work in factories or warehouses. A medtech startup may create a diagnostic device. A mobility startup may work on safer roads, autonomous systems or vehicle intelligence. An AI startup may build tools that understand images, language or large business data.

These ideas take longer to build, but they can create deeper value.

That is why CIE-IIIT Hyderabad’s support matters. A founder building in deep tech often needs access to researchers, labs, testing support, technical mentors and patient investors. Avishkar brings these pieces closer together.

These startups are-

1. Comply Ark Solution Private Limited – It is developing an AI-enabled DPDPA compliance platform.
2. L2 Aero – It is building an AI-powered subsurface detection platform for defence and infrastructure.
3. Mimansa Play – It is creating an AI-powered speech development platform for children.
4. SentraAuth Technologies – It is developing an AI-powered continuous authentication platform using behavioral biometrics.
5. Stylique AI Private Limited (Yoko Styles) – It is building an AI-powered fashion design platform that transforms ideas into production-ready sewing patterns.

What kind of startups Avishkar supports

Avishkar’s Summer Cohort 2026 call focused on proof-of-concept-stage startups in deep-tech and deep-IP areas.

Deep-IP means the startup is not just reselling technology or building a simple interface. It is creating its own technical knowledge, product architecture, algorithm, device, system or intellectual property.

The programme looked for startups in areas such as AI, robotics, computer vision, NLP, AR/VR, medtech, healthcare IT, diagnostics, mobility, road safety, human-machine interface, gaming, adtech and mediatech.

For example, a startup using computer vision to detect road accidents faster can fit into the mobility category. A company building an AI diagnostic tool for early disease screening can fit into medtech. A team creating AR/VR training tools may fit into mediatech or deep tech.

Why IIIT-Hyderabad is a strong fit

IIIT-Hyderabad has a strong research background in computer science, electronics, AI, language technologies, robotics, data engineering, cybersecurity, computer vision and related fields.

CIE at IIIT-Hyderabad was set up in 2008 and has grown into one of India’s important academic incubators. Its own public material says it has supported hundreds of startups over the years and works through incubators such as Avishkar for deep tech, Ojas for medtech and AIC-IIITH for social impact startups.

This research link is important. Deep-tech founders need more than general business advice. They need people who can challenge their technical assumptions and help them validate whether the product can actually work in the real world.

How the selected startups may benefit

The five startups selected for Avishkar Venture Studio can benefit in several practical ways.

First, they can get technical validation. If a startup is building an AI model, robot, medical tool or mobility product, expert review can help improve reliability.

Second, they can refine their business model. Many deep-tech founders know the technology well but struggle with pricing, customer discovery and sales.

Third, they can access IIIT-Hyderabad labs and faculty networks. This can help with prototyping, testing and research-backed product improvement.

Fourth, they can prepare for investors. Deep-tech investors usually ask tough questions about product risk, market size, timelines, patents, competition and customer readiness.

Fifth, they can build early industry connections. For startups, the first few customers or pilots are often harder than the technology itself.

Why this is important for India’s startup ecosystem

India has many software startups, but the country needs more companies that build original technology. Deep-tech startups can help India move from being a technology services market to a technology products market.

This matters in areas like healthcare, defence, mobility, semiconductors, robotics, manufacturing, climate, agriculture and public infrastructure.

For example, a medtech startup can build affordable diagnostic tools for smaller towns. A robotics startup can help Indian factories automate risky or repetitive work. A mobility startup can improve road safety using AI. These are practical problems with large Indian relevance.

Programmes like Avishkar help such founders move from lab thinking to market thinking.

Competitors and similar programmes

Avishkar operates in a growing deep-tech support ecosystem.

Other important programmes and incubators include T-Hub in Hyderabad, i-TIC Foundation at IIT Hyderabad, SINE at IIT Bombay, IIT Madras Incubation Cell, C-CAMP in Bengaluru, NASSCOM DeepTech Club, IKP Knowledge Park and various MeitY-backed startup programmes.

Avishkar’s advantage is its close connection with IIIT-Hyderabad’s research ecosystem. This can be especially useful for startups working in AI, computer vision, robotics, language technologies, AR/VR and data-led products.

Conclusion with key takeaways

CIE at IIIT-Hyderabad selecting five deep-tech startups for Avishkar Venture Studio Summer Cohort 2026 is a positive signal for India’s research-led startup ecosystem.

These startups are not only chasing quick digital growth. They are working on harder technology problems that need patient support, expert guidance and strong validation. Avishkar gives them a structured path to move from proof of concept to a stronger, investor-ready and market-ready business.

Key takeaways –

• CIE at IIIT-Hyderabad has selected five deep-tech startups for Avishkar Venture Studio Summer Cohort 2026.
• The programme runs for six months and supports proof-of-concept-stage startups.
• Focus areas include AI, robotics, computer vision, NLP, AR/VR, medtech, mobility and mediatech.
• Startups can access seed funding, IIIT-Hyderabad faculty, labs, mentors, go-to-market support and investor networks.
• The earlier article’s old cohort startup names have been removed to avoid mixing past Avishkar batches with the 2026 Summer Cohort.

Facts Input

India’s deep-tech startup ecosystem has received a steady push from the Electronics Development Fund, better known as EDF. According to official government data, EDF-backed daughter funds have invested Rs. 1,335.77 crore, or about $139.23 million, across 128 startups and ventures.

EDF works differently. It is a government-backed fund-of-funds, which means it invests in venture funds, and those funds then invest in startups.

The model appears indirect, but it has a clear purpose. It helps bring professional fund managers, private investors and government-backed capital together to support startups working in serious technology areas like electronics, nanoelectronics, IoT, robotics, drones, AI, healthtech and cybersecurity.

What is EDF

The Electronics Development Fund was launched by the Government of India on 15 February 2016. Its main aim is to support research, development and entrepreneurship in electronics, nanoelectronics and information technology.

EDF is backed by the Ministry of Electronics and Information Technology, or MeitY. Canara Bank acts as the trustee and sponsor, while Canbank Venture Capital Funds Ltd. manages the fund.

In simple language, EDF does not usually write cheques directly to startups. Instead, it invests in professionally managed “daughter funds”. These daughter funds are venture capital or angel funds registered in India. They use their own investment judgment to back startups that fit the broader technology mission.

Why this model matters

A fund-of-funds model is useful because the government does not have to pick every startup directly.

Startup investing needs market knowledge, sector understanding and regular portfolio monitoring. Venture funds already have teams for this work. By investing through them, EDF can support more startups while still using professional fund management.

Think of it like this. Instead of one large institution trying to find every promising startup on its own, it backs multiple experienced fund managers. Those fund managers then search for companies in different technology areas.

This helps spread risk and increases reach.

How much has EDF supported

As of 30 September 2025, EDF had invested Rs. 257.77 crore in eight daughter funds. These funds then invested Rs. 1,335.77 crore across 128 startups and ventures.

The larger amount was deployed by the daughter funds, while EDF’s own investment into those funds was Rs. 257.77 crore.

The official data also says these supported startups have created more than 23,600 jobs in high-technology sectors. They have also created or acquired 368 intellectual properties, or IPs. In startup language, IP can include patents, designs, software, technical processes or other protected innovation.

EDF-backed daughter funds have also exited from 37 investments, and EDF has received Rs. 173.88 crore in cumulative returns from exits and partial exits.

Where the money went

EDF has backed eight daughter funds. These include Unicorn India Ventures Trust, Aaruha Technology Fund – 1, Endiya Seed Co-creation Fund, Karsemven Fund, pi Ventures Fund 1, YourNest India VC Fund II, Ventureast Proactive Fund – II and Exfinity Technology Fund Series II.

These funds have invested in startups across several frontier technology areas.

Some startups are working on Internet of Things, where devices are connected and exchange data. A simple example is a smart factory machine that alerts the maintenance team before it breaks down.

Some are in robotics and drones. These can be used in agriculture, warehouses, mapping, defence, inspection and disaster response.

Others are in AI and machine learning, where software learns from data to make predictions or automate decisions. Healthtech and cybersecurity startups are also part of the supported ecosystem.

Why this matters for India

India has become a large electronics and digital market, but the country still wants to build more of its own technology at home.

That is where EDF becomes important. It supports startups that can create local designs, products and intellectual property. This helps India move beyond assembly and services into deeper technology creation.

For example, if an Indian startup builds a cybersecurity product for local enterprises, it can reduce dependence on foreign tools. If another startup creates drone technology for farms or infrastructure, it can serve Indian conditions better than imported products.

The long-term goal is clear. India wants stronger domestic capability in electronics, IT and advanced technologies.

Why startups need this kind of capital

Deep-tech startups are harder to build than many app-based businesses.

A consumer app can be tested quickly. A hardware or electronics startup may need prototypes, labs, testing, manufacturing partners, certifications and longer development time. This usually needs patient capital.

For example, a robotics startup cannot simply launch a website and start selling. It must build hardware, test movement, check safety, improve design, manage parts, and support customers after deployment.

Similarly, a cybersecurity startup needs strong technical validation before customers trust it with sensitive systems.

EDF-backed capital helps such startups survive the early and difficult stages.

Competitors and similar support systems

EDF is not the only startup support mechanism in India. It works alongside other public and private funding channels.

The Startup India Fund of Funds, managed through SIDBI, supports venture funds that invest in startups across broader sectors. The Startup India Seed Fund Scheme helps early-stage startups with proof of concept, product trials and market entry. BIRAC supports biotech startups. iDEX supports defence innovation.

Private venture capital firms such as Accel, Peak XV Partners, Blume Ventures, Matrix Partners India, Lightspeed, pi Ventures, Endiya Partners and YourNest also invest in Indian startups.

EDF’s difference is its sector focus. It is more closely linked to electronics, IT and technology-led product development.

Challenges ahead

The EDF numbers are encouraging, but some challenges remain.

1. First, India still needs more deep-tech capital. Hardware, AI infrastructure, electronics and semiconductor-linked startups need larger and longer funding cycles.
2. Second, startups need better access to labs, testing facilities and manufacturing partners. Money alone cannot solve everything.
3. Third, India must turn more research into commercial products. Creating IP is good, but building globally competitive businesses from that IP is the harder part.
4. Fourth, funding should spread beyond a few strong startup hubs. Reports show Karnataka has received a large share of EDF-linked support, which reflects its strong tech ecosystem. Over time, more states will need to build similar capacity.

Conclusion with key takeaways

EDF’s support for 128 startups shows how targeted government-backed capital can help build India’s technology ecosystem. The fund may not make daily headlines like large private VC rounds, but its impact is visible in jobs, IP creation, fund activity and deep-tech startup support.

The most important point is that EDF’s role is indirect but strategic. It strengthens venture funds that then back startups in advanced technology areas. This helps India build a wider innovation base in electronics, IT and future-facing sectors.

Key takeaways –

1. EDF-backed daughter funds have invested Rs. 1,335.77 crore, or about $139.23 million, across 128 startups and ventures.
2. EDF itself has invested Rs. 257.77 crore in eight daughter funds.
3. The fund was launched by the Government of India on 15 February 2016.
4. Supported startups work in areas such as IoT, robotics, drones, AI, healthtech and cybersecurity.
5. EDF-backed startups have created more than 23,600 jobs and 368 intellectual properties.

Facts Input- PIB-Gov

Bengaluru startup Revspot has raised $4.80 million in a Series A funding round, giving the young company more room to build its AI-led revenue intelligence platform for consumer-facing businesses.

The round saw participation from Inflexor Ventures, Info Edge Ventures, Pentathlon Ventures, Silicon Road Ventures, and Titan Capital, according to reports. For a startup founded in 2024, this is a strong signal that investors are paying attention to AI tools that can solve everyday sales and marketing problems.

Revspot was founded by Darshan Subash, Chirag Wadhera, and Varun Garg. The company is based in Bengaluru and works mainly with high-growth B2C businesses. In simple words, Revspot helps companies find better leads, understand which buyers are more serious, and pass cleaner opportunities to sales teams.

Why Revspot’s funding is getting attention

Many B2C companies spend heavily on ads, agencies, call centres, CRMs, and lead generation tools. Still, their sales teams often receive messy leads. Some people are not ready to buy. Some do not match the product. Some have missing details. Some need quick follow-up, but get lost in the system.

This is the gap Revspot wants to fix.

The startup brings lead generation and lead qualification into one system. That means it does not only help a company find possible buyers. It also helps check whether those buyers are worth the sales team’s time.

Take a real estate company as an example. It may receive thousands of enquiries from property portals, ads, and landing pages. But only a small part of those people may have the right budget, location interest, and buying timeline. A platform like Revspot can help sort those leads and push the most promising ones to the sales team first.

For sectors where every lead costs money, that can make a real difference.

What Revspot does

The company describes itself as an AI-first revenue intelligence platform for B2C businesses. It combines data, enrichment, and AI-based lead qualification to help revenue teams speak to better prospects.

This may sound technical, but the idea is simple.

If a business has 10,000 leads, Revspot tries to help answer three basic questions. Who is most likely to buy? Who should be contacted first? What extra information does the sales team need before making the call?

Its platform is aimed at sectors such as real estate, fintech, edtech, wealth management, and high-ticket sales. These are categories where customers usually take time before making a purchase. A school admission, investment product, home loan, property purchase, or premium service is not an impulse buy. The sales team needs better context before starting the conversation.

That is where buyer intelligence becomes useful. It helps teams avoid blind calling and focus on people with stronger intent.

How the company plans to use the funding

Revspot plans to use the fresh funds to strengthen its product and engineering teams in India. This is important because AI sales products need constant improvement. The data has to be clean, the scoring has to be useful, and the system must work with the tools that companies already use.

The company also aims to improve its AI-powered buyer intelligence and lead qualification platform. In plain language, it wants to get better at finding the right buyers and separating serious prospects from weak leads.

Another part of the plan is sector expansion. Revspot already serves high-value consumer categories, but the new funding may help it enter more industries where businesses deal with large lead volumes and long sales cycles.

The startup also plans to grow in selected international markets. This could be useful if its model works well in India, where B2C sales can be complex, price-sensitive, and heavily dependent on timing.

Why this matters for B2C companies

For many companies, the problem is not a lack of leads. The problem is too many poor-quality leads.

A fintech company may run campaigns for loans or investment products. An edtech company may get enquiries from students and parents. A wealth management firm may attract people who are curious but not ready to invest. In each case, sales teams spend hours calling people without knowing who is serious.

This wastes time and money.

If Revspot can help businesses improve lead quality, it can directly affect revenue. Salespeople can spend more time with serious buyers. Marketing teams can understand which campaigns are actually working. Managers can see where leads are dropping off.

The value is not just in automation. The value is in better decision-making.

Competitors and market view

Revspot operates in a busy space. It touches parts of the CRM, sales intelligence, lead management, and customer engagement markets.

LeadSquared is one of the closest names in India when it comes to sales CRM and lead management for industries like education, financial services, healthcare, automotive, and real estate. It helps teams manage enquiries, follow-ups, sales journeys, and field activity.

MoEngage, WebEngage, and CleverTap work more on customer engagement, retention, and marketing journeys. These platforms help brands communicate with users across channels and improve repeat engagement.

Salesforce is another large global player, though it serves a much broader enterprise market.

Revspot’s focus appears sharper. It is not trying to be a traditional CRM or only a marketing automation tool. It is trying to sit closer to the early sales funnel, where companies find, enrich, qualify, and activate leads before sales teams step in.

That focus can help, but it also brings pressure. Revspot will need to show that its platform improves conversion rates, reduces wasted sales effort, and fits smoothly into existing business workflows.

Why investors may like this space

Investors are now more careful about AI startups. A company cannot raise serious money only by saying it uses AI. It has to show a clear business problem and a clear path to revenue.

Revspot’s problem area is easy to understand. Companies spend money to get leads. Many leads do not convert. Sales teams lose time. Marketing spend becomes harder to justify.

If a tool can reduce that waste, businesses may be willing to pay for it.

This is why Revspot’s funding round is worth watching. It sits at the meeting point of AI, sales, marketing, and data. These are areas where Indian businesses are actively looking for better tools.

The road ahead for Revspot

Revspot will need to keep improving data accuracy, because poor data can hurt sales teams instead of helping them. It will also need to prove that its AI-based qualification works across different industries, not just in one or two early sectors.

Customer trust will matter too. B2C companies handle sensitive customer information, so security, privacy, and responsible data use will be important as the company grows.

If Revspot gets these parts right, it can become a useful revenue tool for brands that depend on high-quality leads and quick sales follow-up.

Conclusion with key takeaways

Revspot’s $4.80 million Series A funding gives the Bengaluru startup fresh strength at a time when businesses want better sales results without wasting money on weak leads.

Founded in 2024 by Darshan Subash, Chirag Wadhera, and Varun Garg, Revspot is building an AI-first revenue intelligence platform for B2C companies. The company plans to use the funding to grow its product and engineering teams, improve buyer intelligence, expand into more consumer sectors, and enter selected international markets.

Key takeaways-

• Revspot has raised $4.80 million in Series A funding.
• The round included Inflexor Ventures, Info Edge Ventures, Pentathlon Ventures, Silicon Road Ventures, and Titan Capital.
• The startup was founded in 2024 by Darshan Subash, Chirag Wadhera, and Varun Garg.
• Revspot helps B2C companies improve lead quality and qualification.
• Its focus sectors include real estate, fintech, edtech, wealth management, and high-ticket sales.

Facts Input- IPOPlatform

Indian startup funding between June 29 and July 24, 2026, had an interesting mix of large growth rounds, selective early-stage bets and strong action in AI, EVs, enterprise software, healthtech, spacetech and consumer brands.

The period did not move in a straight line. Some days were packed with deals, while others were quiet. But one thing was clear. Investors were not writing cheques randomly. They were backing companies with sharper use cases, better revenue visibility, strong founders or clear IPO plans.

This India startup funding update June 29 to July 24, 2026, brings together the key funding deals, investors and founders to watch from publicly reported updates during this window.

Funding mood during the period

1. The last days of June opened strongly. On June 29, Incuspaze raised Rs. 150 crore, Rusk Media raised Rs. 100 crore, Mykare closed seed funding at $3.2 million, and smaller rounds went to The Func. Lab, Lytmus AI, The Capitalist Ventures and Clairva.
2. June 30 continued with consumer and SaaS activity. The Indus Valley raised $17 million led by Gaja Capital, Kapture CX raised $10 million from Bajaj Finserv Ventures, and YoLearn.ai raised $500,000 in pre-seed funding.
3. July started with bigger consumer and manufacturing-linked deals. Limelight Diamonds raised Rs. 275 crore on July 1, while Celloraa Energy received Rs. 160 crore from StarlinePS Enterprises for a solar cell plant. Dovetail Capital, Supply6, Data Science Wizards and Spense also raised funding the same day.
4. After that, July became uneven. According to Inc42, Indian startups raised $71.9 million across 17 deals between July 4 and July 10, down from $104.6 million in the previous week. Then the third week bounced back sharply, with reports saying startups raised around $281.4 million across 24 deals between July 11 and July 17. The fourth week, July 18 to July 24, cooled again to around $209.1 million across 14 deals.

Biggest deals to know

1. Ather Energy was one of the biggest names in this period. The electric two-wheeler maker raised Rs. 1,300 crore through a QIP on July 21, after earlier funding activity around a preferential issue. This money is important because EV manufacturing needs heavy spending on factories, R&D, batteries, marketing and working capital.
2. BusinessNext raised $40 million in Series C from ServiceNow Ventures at a reported $700 million valuation. The company builds banking software and private AI tools for financial institutions. This was one of the strongest enterprise SaaS stories of the period.
3. Emergent became one of the biggest AI funding stories, raising $130 million in Series C at a $1.5 billion valuation. The company works on AI software creation, and its round showed that investors are still willing to fund serious AI companies when the product has strong demand.
4. Raghu Vamsi Aerospace Group raised $40 million in Series B, co-led by Norwest and Skegen Asset Management. This deal showed investor interest in aerospace manufacturing and defence-linked deeptech.
5. SolarSquare also stood out with its $53 million Series C round. The residential rooftop solar startup has become an important clean energy company to watch, especially as Indian households look for lower electricity bills and cleaner power.

Daily deal snapshot

• June 29 – Incuspaze, Rusk Media, Mykare, The Func. Lab, Lytmus AI, The Capitalist Ventures and Clairva raised funds.
• June 30 – The Indus Valley, Kapture CX and YoLearn.ai closed funding rounds.
• July 1 – Limelight Diamonds, Celloraa Energy, Dovetail Capital, Supply6, Data Science Wizards and Spense were among the major updates.
• July 2 – BatX Energies raised Rs. 105 crore, Age Care Labs raised Rs. 85 crore, and Tulon Materials raised Rs. 10 crore.
• July 3 – CUNIN raised $450,000 in a quiet funding day.
• July 6 – TOCAL raised Rs. 9 crore in seed funding.
• July 7 – Econovus Packaging raised Rs. 40 crore, Mowito raised $3 million, and Fizzy Goblet received investment from Kareena Kapoor Khan.
• July 8 – Elevate Education raised Rs. 170 crore from WestBridge Capital, while Milo Drive, Doodhvale Farms, Neothera and others also raised capital.
• July 9 – Wheelocity raised Rs. 82 crore, while BAAS Technologies raised Rs. 5 crore in pre-seed funding.
• July 10 – Purple Style Labs raised Rs. 162.5 crore debt, and Aukera raised Rs. 90 crore.
• July 13 – Dhruva Space raised Rs. 60 crore from Antariksh Venture Capital Fund.
• July 14 – BUILT raised $2 million in pre-seed funding.
• July 15 – Ather Energy, Emergent and E3 Electric.Ai were among the headline names.
• July 16 – Naturis Cosmetics raised Rs. 100 crore, Vorflux raised $15 million, and NapTapGo raised Rs. 8 crore.
• July 17 – Neo Group raised Rs. 350 crore led by Peak XV Partners.
• July 20 – Raghu Vamsi Aerospace raised $40 million, Plazza raised $15 million, and LNGVTY raised Rs. 5 crore.
• July 21 – Ather Energy, SolarSquare, 30 Sundays, Suminter India Organics, FireAI and Khageshvara Aviation Technology were in the funding news.
• July 22 – Bioscan Research raised $1 million in seed funding led by Unicorn India Ventures.
• July 23 – BusinessNext, CARPL.ai, Farm Watt Innovations, Wiffy, NeuralKart and UpKraft raised funds.
• July 24 – Sortmyprep funding round was reported in as daily update.

Founders to watch

• Sanjay Choudhary and Sanjay Chatrath of Incuspaze are worth watching as managed office demand keeps rising in India.
• Tarun Mehta and Swapnil Jain of Ather Energy remain key names in India’s EV story, especially as the company prepares for higher manufacturing needs.
• Shreya Mishra and Nikhil Nahar of SolarSquare are building in rooftop solar, a category that can grow as power costs and clean energy awareness rise.
• Vidur Mahajan of CARPL.ai is building in medical imaging AI, a space where hospitals need practical tools, not just fancy dashboards.
• Anupam Lavania and Shilpa Malik of Bioscan Research are working on CEREBO, a medical device for non-invasive brain injury screening.
• Manoj Raju, Shreyas R. Halageri and Vidvath Kamireddy of NeuralKart are building AI products for insurance and industrial safety.

Why investors are backing these sectors

1. AI was the loudest theme, but not every AI startup got easy money. Investors seemed more interested in practical AI, such as banking automation, medical imaging, tutoring, customer support, software creation and decision intelligence.
2. Clean energy also stayed hot. SolarSquare, Celloraa Energy, BatX Energies, Farm Watt Innovations and Suminter India Organics show that investors are still betting on energy transition, recycling, biomass and solar supply chains.
3. Enterprise software saw strong interest through BusinessNext, Kapture CX, Data Science Wizards, CARPL.ai and Wiffy. These companies sell to businesses, hospitals or banks, where revenue can be more predictable than consumer apps.
4. Consumer brands did not disappear either. Limelight Diamonds, Supply6, The Indus Valley, The Func. Lab, Naturis, BUILT, Aukera and LNGVTY show that investors still like brands with sharp positioning and clear customers.

Conclusion with key takeaways

The India startup funding update June 29 to July 24, 2026, shows a market that is active but careful. Big rounds went to companies with stronger business models, while early-stage funding stayed selective.

Key takeaways

• Ather Energy, Emergent, SolarSquare, BusinessNext, Raghu Vamsi Aerospace, Neo Group and Limelight Diamonds were among the biggest funding names.
• AI, enterprise SaaS, EVs, clean energy, healthtech, spacetech and consumer brands saw strong investor interest.
• Early-stage funding continued, but investors were choosy.
• The IPO pipeline also remained active, with companies like OYO parent PRISM, Fibe, Cult.fit, InMobi and others making public-market moves.

The overall message is simple. Indian startup funding is not slow. It is becoming more disciplined.

NeuralKart has raised Rs. 2.35 crore in a seed funding round led by Inflection Point Ventures. For a young Bengaluru-based startup, this is an important step because it is working in a sector where technology adoption is no longer optional.

The startup builds AI-led products for insurance companies and industrial businesses. Its main aim is to reduce slow manual work in areas like underwriting, claims, audits, document processing and risk monitoring.

That may sound technical at first, but the problem is easy to understand. Insurance companies deal with huge volumes of forms, bills, policy documents, claim photos, medical records and customer requests. If every file has to be checked manually, the process becomes slow, expensive and error-prone. NeuralKart wants to make these workflows faster and more reliable with AI.

What NeuralKart does

NeuralKart is an AI and insurtech startup. Insurtech simply means technology built for the insurance industry.

The company’s flagship platform is called InsureMind. It helps insurers automate important parts of their operations, including medical underwriting, motor claims, audits, renewals and document intelligence.

Underwriting is the process where an insurer checks risk before issuing a policy. For example, if a person applies for health insurance, the company may need to review age, medical history, reports and policy rules before deciding approval and pricing. Doing this manually can take time.

NeuralKart’s platform is designed to read documents, pull out useful information, check guidelines and support faster decision-making. The goal is not to remove humans completely. The idea is to help teams spend less time on repetitive checking and more time on decisions that need judgment.

In claims, especially motor insurance, the platform can support damage assessment, invoice checks, fraud detection and mapping repair invoices with actual damage. This matters because inflated bills, missing documents and slow claim reviews can hurt both insurers and customers.

Founders and founding year

NeuralKart was founded in 2024 by Manoj Raju, Srigopal Gopisetty, Shreyas R H and Vidvath Reddy as part of the founding team. The company’s official website lists Manoj Raju as Chief Executive Officer, Vidvath Reddy as Co-founder and Shreyas R H as Chief Technology Officer.

The startup is based in Bengaluru and operates in the enterprise AI and insurance technology space.

Why the Rs. 2.35 crore funding matters

Seed funding is usually the stage where a startup has built an early product and now needs money to improve it, hire better talent, find more customers and build a stronger business engine.

NeuralKart plans to use the fresh funds for product development, AI and machine learning engineering, customer acquisition, go-to-market expansion and working capital.

In simple words, the company needs money to improve its technology, sell to more insurers and support day-to-day growth.

This is important because enterprise software does not grow like a consumer app. Selling to insurance companies takes time. Buyers need security checks, compliance comfort, proof of accuracy, integration support and strong service. A startup has to invest before large customers fully adopt its platform.

What is NeuralKart’s aim and purpose

NeuralKart’s purpose is to make complex insurance and enterprise workflows easier with AI.

The company’s own positioning is built around one clear idea – insurance operations should become faster, more accurate and more customer-friendly. It wants to help insurers move from manual processes to AI-assisted decision systems.

This can help in many practical ways.

A health insurer can review medical documents faster.

A motor insurer can check claim photos and repair invoices more carefully.

A broker or third-party administrator can handle policy and claim documents with less manual sorting.

An industrial site can use cameras and sensors to identify safety risks before they become serious problems.

The larger aim is not just automation for the sake of automation. NeuralKart is trying to solve delays, operational costs, claim leakage and weak audit systems. These are everyday problems inside insurance companies, even if customers do not always see them directly.

InsureMind and FieldSense

NeuralKart’s insurance platform, InsureMind, is focused on underwriting, claims, audits, renewals and document workflows.

The company is also reported to be building FieldSense, a computer vision platform for industrial safety and risk monitoring. Computer vision means software that can understand images or video. For example, a system may use CCTV, drone footage or sensor data to spot unsafe conditions at a factory or worksite.

This gives NeuralKart two related but different business areas.

InsureMind helps insurance companies improve back-office and decision workflows.

FieldSense helps industrial companies monitor risk and safety using visual data.

Both products are connected by one idea – using AI to find patterns, reduce manual work and support faster decisions.

Why insurers need this kind of technology

Insurance companies run on trust, speed and accuracy. If a genuine claim takes too long, customers get frustrated. If a fraudulent claim passes through, the insurer loses money. If underwriting is slow, customers may choose another provider.

Manual review also becomes difficult when document volumes are large. A claim file may include photos, bills, medical records, identity documents, policy terms and internal notes. Reviewing all of this by hand can create delays.

AI tools can help by reading documents, flagging unusual patterns, comparing invoices with damage records and giving teams a clearer view of what needs attention.

For example, if a motor claim includes a repair bill for parts that do not match the visible damage, the system can flag it for review. A human can then check the case more carefully instead of treating every claim the same way.

Competitors and market landscape

NeuralKart operates in a growing but competitive market. Insurance automation is attracting both startups and larger technology companies.

Globally, companies such as Tractable, Shift Technology, FRISS and Sprout.ai work in areas like AI claims automation, fraud detection and insurance workflow support. In India, players such as Artivatic.ai, Riskcovry and other insurance technology vendors operate in nearby areas, though their exact focus may differ.

NeuralKart’s challenge is to prove that its products work well inside real insurance environments. Insurers do not buy software only because it sounds modern. They look for accuracy, data security, easy integration, compliance readiness and measurable cost savings.

The startup says it is ISO/IEC 27001:2022 certified, which is relevant because insurance companies handle sensitive personal and financial data. Security can become a strong selling point if the company continues to build enterprise trust.

What this means for customers

Customers may not directly use NeuralKart’s platform, but they can still feel its impact.

If insurers use better automation, claims may move faster. Policy approvals may become smoother. Fewer customers may be asked to submit the same document again and again. Fraud checks may also improve, which can help insurers control losses over time.

Of course, AI in insurance has to be used carefully. Customers should not be unfairly rejected because of a machine-generated decision. The best use of AI is when it supports human teams with better information, not when it becomes a blind approval or rejection engine.

This is why accuracy, audit trails and human review will matter as NeuralKart grows.

Conclusion with key takeaways

NeuralKart’s Rs. 2.35 crore seed funding is a meaningful early step for a startup building AI tools for insurance and industrial safety. The company is targeting a real business problem – too much manual work in claims, underwriting, audits and risk monitoring.

Its main platform, InsureMind, helps insurers automate and improve core workflows. Its reported FieldSense product takes the same AI thinking into industrial safety through computer vision.

The opportunity is strong, but the test will be execution. NeuralKart has to show insurers that its systems are accurate, secure, easy to integrate and useful in daily operations.

Key takeaways

• NeuralKart raised Rs. 2.35 crore in seed funding led by Inflection Point Ventures.
• The startup was founded in 2024 and is based in Bengaluru.
• Its leadership includes Manoj Raju, Srigopal Gopisetty, Shreyas R H and Vidvath Reddy, according to startup coverage and company information.
• NeuralKart’s main platform, InsureMind, supports insurance underwriting, claims, audits, renewals and document workflows.
• The startup also works on industrial safety technology through computer vision-led risk monitoring.
• Its aim is to make complex insurance and enterprise processes faster, safer and easier to manage.

Facts Input- StartupFox

Groyyo has raised Rs. 90 crore in the first close of its Series B funding round, led by Cornerstone Ventures. Existing investors also joined the round.

The Gurugram-based startup works in a space that looks old from the outside but is changing fast from within – fashion manufacturing. Behind every shirt, jacket or dress, there is a long chain of design, sourcing, costing, factory planning, quality checks and delivery. Groyyo wants to make that chain faster, more transparent and less dependent on scattered spreadsheets.

The company plans to use the fresh capital to expand into new markets, grow its supplier network and improve the AI systems that power its platform.

What Groyyo does

Groyyo is an AI-driven manufacturing and supply chain platform for fashion brands and manufacturers.

It helps fashion brands manage sourcing, product design, costing, production planning, quality checks and logistics. On the factory side, it provides software to track production, inventory, finances and operations.

In simple words, Groyyo connects global fashion demand with manufacturing capacity in India and other supply hubs. A brand that wants to make apparel can use Groyyo’s platform to find suppliers, manage production and track delivery more smoothly.

The startup was founded in 2021 by Subin Mitra, Pratik Tiwari and Ridam Upadhyay. Some reports also note that Nitin Jain was elevated as co-founder later to drive global growth.

Funding details

Groyyo has raised Rs. 90 crore, or about $9.3 million, in the first close of its Series B round. The round was led by Cornerstone Ventures, with participation from existing investors.

The company is reportedly targeting a larger $20 million round, so this Rs. 90 crore raise is the first part of that bigger plan.

Groyyo had earlier raised funds from investors including Tiger Global, Alpha Wave Global, Sparrow Capital, Stride Ventures and others. With this round, its total funding has reached around $54 million, according to recent reports.

Startup aim and purpose

Groyyo’s aim is to make fashion manufacturing more organized, digital and global.

Fashion supply chains are still highly fragmented. Many factories depend on manual tracking, WhatsApp updates, phone calls and Excel sheets. This creates delays, quality issues and poor visibility for brands.

Groyyo wants to work like an operating system for fashion manufacturing. It helps brands move from design to delivery with better planning and tracking.

For example, if a UK fashion brand wants 50,000 shirts made in South Asia, the process involves fabric sourcing, sample approval, factory allocation, quality checks, shipping and delivery. Groyyo wants to bring these steps into one tech-led workflow.

Why AI matters in Groyyo’s model

AI can help fashion companies make faster decisions.

Groyyo is using AI for trend identification, design support, demand planning and supply chain efficiency. This can help brands understand what may sell, create designs faster and choose better manufacturing partners.

It can also help factories improve capacity utilization. Many small manufacturers have machines, workers and skill, but they do not always get steady global orders. Groyyo’s platform can help them access larger demand.

The purpose is not only to help big brands. It is also to help Indian manufacturers compete better in global markets.

Current business traction

Groyyo says it works with around 470 manufacturers and 45 international brands.

It is active in India and markets such as North America, the UK, Europe and the Middle East. The company has reached a revenue run rate of about Rs. 500 crore for FY26.

The startup now wants to grow faster while keeping margins under control. Reports suggest it is targeting revenue of more than Rs. 3,000 crore over the next three years.

Why this funding matters

The funding comes at a useful time. Global fashion brands are looking beyond traditional sourcing markets and want faster, more reliable supply chains.

India has a strong textile and apparel base, but many manufacturers still need better technology, quality systems and global market access.

Groyyo’s model tries to sit between these two needs. Brands want reliable sourcing. Manufacturers want more demand and better tools. Groyyo wants to connect both sides.

Competitors

Groyyo competes with other B2B supply chain, sourcing and manufacturing platforms. It also competes indirectly with traditional buying houses, export houses and large apparel manufacturers that manage sourcing for global brands.

In the broader B2B commerce and manufacturing-tech space, companies such as Zetwerk, Fashinza and other sourcing platforms operate in overlapping areas, though each has a different focus.

Groyyo’s edge will depend on how well it combines technology, factory trust, quality control and global buyer relationships.

Challenges ahead

Fashion manufacturing is not easy to digitize. Every order has different designs, fabrics, sizes, colours, timelines and quality standards.

A platform can help, but execution on the ground still matters. Factories must deliver on time. Quality must remain consistent. Logistics must be reliable. Payments and working capital must be managed carefully.

Groyyo will also need to keep its model profitable. In B2B supply chains, chasing revenue without margins can become risky. The company’s next phase will be watched for both growth and discipline.

Conclusion – Key takeaways

Groyyo’s Rs. 90 crore Series B first close, led by Cornerstone Ventures, gives the startup more capital to expand its AI-powered fashion supply chain platform.

Founded in 2021 by Subin Mitra, Pratik Tiwari and Ridam Upadhyay, Groyyo wants to help global fashion brands source faster while helping manufacturers access larger demand.

The opportunity is large because fashion supply chains are still fragmented. If Groyyo can bring speed, transparency and reliability without losing control on margins, it can become an important player in global apparel manufacturing from India.

Facts Input- BS

Elevation Capital has closed a new $500 million India-focused Fund IX, giving the venture capital firm fresh capital to back early-stage startups in the country. The fund will mainly invest in seed and Series A companies, with a strong focus on AI-led businesses being built from India.

The timing is important. Indian startups are entering a new phase where investors are not only chasing fast growth. They are looking for sharper business models, stronger founders and technology that can solve real problems.

For Elevation Capital, Fund IX is a clear bet on the next wave of Indian startups, especially companies building on top of AI models for sectors like healthcare, education, financial services, enterprise software and deeptech.

What is Elevation Capital Fund IX

Elevation Capital Fund IX is a $500 million venture fund focused on India. It is the firm’s ninth fund and is designed mainly for early-stage startup investments.

The fund will back startups at seed and Series A stages. These are early stages where founders usually need money to build products, hire teams, find customers and prove that the business can grow.

Fund IX is expected to focus on AI-first companies, global software startups being built from India, and deeptech areas such as space, defence, robotics, energy and precision manufacturing.

In simple words, Elevation wants to find startups early, support them closely and stay with them as they scale.

Aim and purpose of the fund

The main aim of Fund IX is to support Indian founders building serious technology companies for both Indian and global markets.

A big part of the purpose is AI. Elevation believes India may not have led the earliest wave of large foundation models like OpenAI, but Indian founders can build strong businesses on top of these models. This includes practical AI tools for doctors, teachers, banks, insurers, factories, small businesses and consumers.

The fund also shows that Elevation is not limiting itself to normal software startups. It wants to back companies working in frontier areas where India can build long-term strength.

For example, an Indian startup may build AI tools for hospital workflows, credit checks for small businesses, defence systems, robotics for factories or software for global enterprises. These are the kinds of businesses Fund IX may look at.

Who is Elevation Capital

Elevation Capital is one of India’s well-known venture capital firms. It was earlier known as SAIF Partners India and rebranded as Elevation Capital in 2020.

The firm has been investing in Indian startups for more than 20 years. Its portfolio includes companies such as Paytm, Swiggy, Meesho, Urban Company, Acko, ShareChat, NoBroker, FirstCry, Spinny and Ixigo.

Elevation’s current team includes investors such as Mukul Arora and Mridul Arora, among other partners. The firm operates from Gurugram and Bengaluru and focuses on sectors including consumer tech, fintech, healthcare, enterprise AI, consumer brands and frontier tech.

Why this fund matters for Indian startups

A $500 million India-focused fund is meaningful because early-stage startups need long-term investors who understand local markets.

Many founders are building in difficult categories. Healthcare, financial services, education, manufacturing and deeptech are not easy sectors. They need patient capital, industry knowledge and strong networks.

Fund IX can help startups get not only money, but also support in hiring, product thinking, finance, legal work, marketing, AI adoption and business development.

For founders, this kind of support can be valuable in the first few years when the company is still finding its direction.

Why AI is central to the fund

AI is becoming a major part of business software and consumer products. But not every AI startup will win. The real opportunity is in solving specific problems better, faster or cheaper.

India has a large talent pool of engineers, product builders and domain experts. Many Indian startups can build AI software for global customers while keeping costs competitive.

For example, a startup may build AI tools for insurance claim checks, customer support, legal document review, medical note-taking or supply chain planning. These are practical use cases where companies may pay if the product saves time or improves accuracy.

Elevation’s focus on AI’s application layer means it may back startups that use existing AI models to build useful products, instead of trying to create massive AI models from scratch.

Deeptech and frontier technology focus

Fund IX is also expected to look at deeptech sectors such as space, defence, robotics, energy and precision manufacturing.

These sectors are harder than normal app-based businesses. They often need hardware, research, testing, regulation and longer timelines. But if successful, they can create strong companies with real technology depth.

India’s defence tech, space tech and manufacturing technology ecosystem is growing. Government policy support and private sector demand are also improving. This creates a better environment for investors to support such companies.

Competitors and market context

Elevation Capital is not alone in raising India-focused venture capital. The Indian startup market has several strong venture firms competing for promising founders.

Peak XV Partners recently raised a large fund for India and Asia. Accel, Lightspeed, Nexus Venture Partners, Matrix Partners India, Blume Ventures, Stellaris Venture Partners and others are also active in early-stage investing.

The difference now is that many funds are becoming more focused. Instead of raising very large funds for every kind of deal, investors are choosing sharper themes such as AI, deeptech, fintech, climate, healthcare and enterprise software.

This can be good for founders because they may find investors who understand their category better.

What it means for founders

For early-stage founders, Fund IX means more capital is available, but expectations will still be high.

Investors will likely look for clear founder-market fit, strong product thinking, early customer interest and a big market opportunity. In AI startups, they may also check whether the company has a real advantage or is only using a common AI tool with a thin layer on top.

Founders should be ready to explain what problem they are solving, why now is the right time, who will pay, and why their team can win.

Conclusion – Key takeaways

Elevation Capital’s $500 million Fund IX is a strong signal for India’s startup ecosystem. The fund will focus mainly on seed and Series A investments, with AI-led companies at the centre of its strategy.

The purpose is to back Indian founders building useful, scalable and globally relevant companies in areas such as AI software, fintech, healthcare, education, enterprise technology and deeptech.

For India, this fund shows that serious venture capital is still available for strong founders, even in a more disciplined funding market. For startups, the message is clear – build real products, solve real problems and show why your company can matter beyond the funding headline.

Facts Input- MC

As we discussed earlier, Fundamentum Partnership has launched its third fund with a target corpus of Rs. 2,200 crore, including a Rs. 400 crore greenshoe option. The new fund, called Fundamentum Fund III, comes at a time when Indian startups are still adjusting to a more careful funding market.

The firm was co-founded by Infosys co-founder Nandan Nilekani and entrepreneur-investor Sanjeev Aggarwal. Fundamentum’s earlier fund vintages came in 2017 and 2022, and the new fund continues its focus on growth-stage technology companies.

This is not early idea-stage money. Fundamentum is looking at startups that have already found product-market fit and now need capital, discipline and operating support to scale.

Why this fund matters

India has many early-stage startups, but scaling a company from promising to large is much harder. This is where growth-stage funds become important.

A startup may have customers, revenue and a working product. But when it tries to expand across cities, hire senior teams, improve governance, enter new categories or prepare for IPO-level discipline, the problems become more complex.

Fundamentum Fund III is aimed at that stage.

The fund will back companies in consumer technology, fintech, and AI-native or AI-enabled businesses. It is expected to write first cheques of around $10 million and invest about $15 million on average across nearly 11 companies. Around 40% of the fund is planned for follow-on investments.

That follow-on reserve is important because strong startups often need more than one round of support.

Who will lead the fund

Nandan Nilekani is anchoring the new fund as a limited partner. In simple terms, a limited partner is an investor in the fund. His role is expected to include mentoring the team and founders, similar to his involvement in the earlier funds.

The fund will be led by Sanjeev Aggarwal, Prateek Jain, Mayank Kachhwaha and Sanjay Chaturvedi as general partners. General partners are the people who make investment decisions and work closely with portfolio companies.

This matters because growth investing is not only about writing cheques. It also needs judgment around founders, markets, hiring, governance and timing.

The bigger aim and purpose

Fundamentum’s larger purpose is to support Indian companies during the stage where many startups struggle the most.

In the early days, founders can move fast, test ideas and change direction quickly. But after a company grows, the rules change. It needs better systems, stronger leadership, clear financial controls and a sharper plan.

For example, a fintech startup may start with one lending product. As it grows, it may need better underwriting, stronger risk systems, collection tools, compliance processes and partnerships with banks. A consumer startup may need to expand beyond metros and serve the next 400 million users. An AI-led company may need to build products for Indian language, local workflows and regulated industries.

Fundamentum wants to be useful in this phase. Its aim is not just to provide capital, but also help companies become ready for scale.

Why AI is part of the story

The fund will look at AI-native and AI-enabled companies, but the focus is not only on building large AI models. The more practical opportunity may be in applying AI to real Indian business problems.

This can include financial services, customer support, collections, underwriting, land-record checks, workflow automation and local language tools.

For India, this is important. Many problems here are not solved by copying Western products. A good Indian AI product may need to understand mixed-language communication, local rules, offline-to-online behaviour and price-sensitive users.

That is where growth-stage capital can help. Startups that already have customers can use AI to improve efficiency, reduce costs and serve more people.

Portfolio and past track record

Across its first two funds, Fundamentum has made 17 investments. Its portfolio includes companies such as Kuku, Spinny, PharmEasy, ApnaMart, AppsForBharat, FlexiLoans, Stable Money, TransBnk, Olyv and ProcMart.

These names show the firm’s interest in sectors linked to consumer demand, financial services, commerce, content, procurement and digital infrastructure.

Fund II has reported a gross IRR of 26%, with portfolio revenue more than doubling over the past year. IRR is a return measure used by investors to understand fund performance over time.

For founders, this track record matters because money is not the only thing they look for. They also want investors who understand scaling challenges.

Competitors in the growth funding market

Fundamentum will compete with several active investors in India’s growth-stage market. These include Peak XV Partners, Accel, Lightspeed, Elevation Capital, Z47, A91 Partners, WestBridge Capital, Iron Pillar, Avataar Ventures, B Capital, Premji Invest and Multiples.

The competition is strong, but the market also has room. Many Indian startups that raised early money now need patient growth capital. Not every company will become a unicorn, but many can become large, profitable and long-lasting businesses.

Fundamentum’s edge may come from its India-first thinking, operating support and focus on companies that have already proven demand.

What founders should learn from this

The launch of Fund III carries a clear message for founders. The funding market has changed.

Investors are no longer chasing growth at any cost. They want better unit economics, stronger teams, clearer governance and a path to profit.

For a founder, this means storytelling alone is not enough. The business must show customer love, revenue quality, cost discipline and a real reason to exist.

A startup that can prove these things may still find strong backers, even in a selective market.

Conclusion with key takeaways

Fundamentum’s Rs. 2,200 crore Fund III is a strong signal for India’s growth-stage startup ecosystem. It shows that capital is available, but it will likely go to companies that are ready for disciplined scale.

The fund’s aim is clear. It wants to support Indian technology companies that have moved beyond early experiments and are now ready to become larger, more stable businesses.

Key takeaways

• Fundamentum has launched Fund III with a target corpus of Rs. 2,200 crore.
• The amount includes a Rs. 400 crore greenshoe option.
• The firm was co-founded by Nandan Nilekani and Sanjeev Aggarwal.
• The fund will focus on growth-stage startups in consumer tech, fintech and AI-led businesses.
• It plans to invest in around 11 companies, with about 40% reserved for follow-on funding.
• Portfolio companies from earlier funds include Spinny, PharmEasy, Kuku, Stable Money, FlexiLoans, Olyv and ProcMart.

Facts Input- Entrackr

India’s Rs. 1 lakh crore Research, Development and Innovation Fund is beginning to show early movement. The Technology Development Board has selected 22 startups to support, giving India’s deeptech ecosystem a much-needed confidence boost.

This is important because deeptech startups do not work like normal app-based startups. They often build in areas such as drones, robotics, biotechnology, advanced communication, space technology, clean energy, semiconductors and artificial intelligence. These ideas need more time, more testing and more patient funding.

The latest update suggests that the RDI Fund is not just a policy announcement anymore. It is now moving toward real support for companies that are trying to build hard technology from India.

What is the RDI Fund

The RDI Fund is a Rs. 1 lakh crore government-backed initiative aimed at supporting research, development and innovation in India. The idea is to help companies and startups working on advanced technologies that may take years to become commercially successful.

In simple words, it is meant to reduce the early financial risk for deeptech builders.

A normal consumer internet startup may launch a product, get users and show growth within months. But a deeptech startup building a drone platform, chip design, battery material or biotech solution may need years of research before it can sell at scale.

That is why patient capital matters. Patient capital means money that allows founders to build carefully without being forced to show quick returns.

Why selecting 22 startups matters

The selection of 22 startups by the Technology Development Board is an early sign that the RDI Fund is moving into action.

For founders, this kind of support can be useful in many ways. It can help them build prototypes, test products, hire technical teams, improve labs, file patents and prepare for commercial production.

For investors, it can reduce fear. Many private investors avoid deeptech because the risk is high and returns take longer. If government-backed funding supports the early stage, venture capital firms may become more willing to invest later.

For India, it supports a bigger goal – building technology at home instead of depending only on imports.

Why deeptech needs special support

Deeptech is difficult because the product is usually based on science, engineering or advanced research.

For example, a startup building an unmanned drone for agriculture or defence cannot simply launch an app and improve it later. It needs hardware testing, safety checks, field trials, regulatory approvals and manufacturing support.

A biotech company may need clinical research and lab validation. A battery startup may need material testing and factory-level production. A spacetech startup may need expensive equipment and years of technical development.

This is why deeptech funding cannot follow the same model as quick-growth software startups. The RDI Fund is trying to fill that gap.

What kind of sectors may benefit

The RDI Fund is expected to support startups and companies working in frontier technologies. These include artificial intelligence, quantum computing, robotics, drones, advanced communication, electronics, clean energy, biotechnology and other high-impact sectors.

These areas are important because they can shape future industries.

For example, AI can improve healthcare, finance, agriculture and manufacturing. Drones can help in mapping, delivery, disaster response and defence. Advanced batteries can support electric vehicles and renewable energy storage. Quantum technology may support future computing and secure communication.

If Indian startups can build strong products in these areas, the country can reduce dependence on foreign technology and create high-value jobs.

Role of the Technology Development Board

The Technology Development Board is playing an important role in the early rollout. Its job is to support technology development and help companies move from research to commercial use.

This is a key bridge. Many Indian research ideas remain stuck inside labs because they do not get enough support to become market-ready products. TDB’s involvement can help some of these ideas move closer to real customers.

The 22 selected startups are part of this larger push. The aim is not only to fund ideas, but to help serious technology companies grow into commercial businesses.

What this means for startups

For Indian deeptech startups, the RDI Fund can bring three major benefits.

1. First, it can improve access to capital. Deeptech founders often struggle to raise money because investors may not fully understand the technology or may worry about long timelines.
2. Second, it can improve credibility. A startup selected under a government-backed deeptech programme may find it easier to speak with customers, investors and partners.
3. Third, it can support long-term product development. Instead of rushing to show quick numbers, founders can focus on testing, safety, quality and intellectual property.

Still, funding alone will not solve every problem. Startups will also need access to labs, skilled engineers, manufacturing partners, buyers and global markets.

Competitors and global context

India is not alone in backing deeptech. Countries such as the US, China, Japan, South Korea, Israel and members of the European Union have supported advanced technology through public funding, defence programmes, university research and industrial policy.

The reason is simple. Deeptech is linked to national competitiveness.

Semiconductors, space systems, AI, advanced telecom, clean energy and biotechnology are not just startup sectors. They are also strategic areas for economic growth and national security.

India’s RDI Fund can help the country compete better, but execution will be the real test. The money must reach the right founders at the right time.

Risks and challenges

The RDI Fund has strong potential, but there are some clear risks.

1. The first risk is slow approval. Deeptech startups need timely funding. If the process becomes too slow, companies may lose momentum.
2. The second risk is poor selection. The fund must support startups with real technology depth, not just strong presentations.
3. The third risk is lack of follow-on funding. A startup may need several rounds of support before it becomes commercially strong.
4. The fourth risk is market access. Even if a startup builds good technology, it needs customers. Government departments, large companies and private buyers must be willing to test and buy Indian deeptech products.

Conclusion with key takeaways

The selection of 22 startups under the RDI Fund is a positive signal for India’s deeptech ecosystem. It shows that the Rs. 1 lakh crore initiative is starting to move from announcement to action.

The fund can help founders working on difficult but important technologies. It can also encourage private investors to look more seriously at deeptech.

But the real success will depend on speed, transparency, strong selection and long-term support. If done well, the RDI Fund can become one of India’s most important innovation programmes.

Key takeaways

1. The RDI Fund is a Rs. 1 lakh crore initiative for research, development and innovation.
2. The Technology Development Board has selected 22 startups to support.
3. The fund is aimed at deeptech areas such as AI, drones, robotics, biotech, quantum, clean energy and advanced communication.
4. Deeptech startups need patient capital because product development takes longer.
5. The initiative can reduce early risk and attract more private investment.
6. The main challenges are timely funding, strong selection and market access.

Facts Input- Hindu BusinessLine, ET, TOI

Sparrow Capital has closed its third fund at Rs. 475 crore, and the timing is interesting. India’s startup market is no longer in the easy-money phase where almost every idea could raise a round. Investors are becoming more careful, founders are being judged harder, and larger seed cheques are going to fewer but stronger companies.

That is exactly where Sparrow Capital wants to play. The Bengaluru-based venture capital firm plans to use its new fund to write bigger cheques, lead more seed rounds, and back early-stage startups that can grow beyond a small niche.

For readers who are new to startup funding, this simply means Sparrow is raising money from investors, putting that money into young companies, and hoping some of those companies become much bigger over time.

What Sparrow Capital has raised

Sparrow Capital has closed Fund III at Rs. 475 crore. Around 60% of this money came from global limited partners, often called LPs. These LPs include endowments, foundations, funds of funds, and family offices. The remaining money came from Indian family offices, startup founders, operators, high net worth individuals, and people already connected to the startup world.

This is a meaningful shift for Sparrow. Its earlier funds had a larger share of non-institutional investors. With Fund III, the presence of global institutional money suggests that larger and more formal investors are now willing to trust Sparrow’s track record.

The firm had earlier raised Rs. 122 crore in its first close in August 2025. By April 2026, the fund had reached about Rs. 280 crore, before finally closing at Rs. 475 crore.

Who founded Sparrow Capital

Sparrow Capital was founded in 2020 by Yash Jain. The firm also counts Aakash Goyal and Darshit Vora as general partners. For Fund III, Arpit Agrawal has joined the leadership team as CFO and partner. He previously worked with KreditBee and PwC.

In a short period, Sparrow has built a portfolio of more than 40 companies. Some of its known investments include Gokwik, Apnamart, Deconstruct, E6data, Gushwork, Furnishka, Aukera, Strainx, Superhealth, Homerun, and Optimist.

What is the aim of Sparrow Capital Fund III

The main aim of Sparrow Capital Fund III is simple – invest more money in fewer promising startups and take a stronger role in their early funding rounds.

The firm plans to invest around $1 million to $2 million each in 25 to 30 startups over the next three years. It has already made five commitments from the new fund.

This is a step up from its earlier fund. Sparrow’s Fund II was Rs. 120 crore, through which it backed 27 companies with cheque sizes of about $300,000 to $500,000. With Fund III, Sparrow can now support startups with larger first cheques and keep more money aside for later rounds.

For example, imagine a fintech startup raising its first serious seed round. Earlier, Sparrow might have joined the round with a smaller cheque while another investor led it. Now, with a larger fund, Sparrow can lead or co-lead the round, help set the terms, and stay more involved from the beginning.

Why 60% global LP money matters

Global LP participation is not just a number. It tells us that overseas investors are still interested in India’s startup story, but they are choosing managers more carefully.

When global endowments, foundations, funds of funds, and family offices put money into an Indian VC fund, they usually look for discipline. They want to see whether the fund manager can pick good companies, avoid careless pricing, and support founders through tough market cycles.

For Sparrow, getting 60% of Fund III from global LPs can help in two ways. First, it gives the firm a stronger capital base. Second, it improves its standing when competing for good deals, because founders often prefer investors who have long-term capital and follow-on ability.

Why the timing is important

India’s early-stage funding market is going through a clean-up phase. According to ET’s report, Indian startups raised $3.34 billion across 608 early-stage and seed rounds in the first half of 2026. In the same period a year earlier, startups had raised $2.96 billion across 1,055 rounds.

In plain English, fewer startups are getting funded, but the average cheque size is rising.

That is important for Sparrow’s strategy. If investors are writing bigger cheques but backing fewer startups, then a seed fund needs enough capital to compete. A Rs. 475 crore fund gives Sparrow more room to support founders at the seed stage and reserve money for follow-on rounds.

Where Sparrow may invest

Sparrow Capital will continue to invest across sectors. However, the firm is currently seeing strong founder quality in consumer, fintech, and AI-native software companies being built from India for global markets.

This makes sense. Consumer startups in India are finding sharper niches, from beauty and wellness to home and lifestyle brands. Fintech remains a large opportunity because payments, credit, insurance, and wealth products are still changing quickly. AI-native software is also becoming attractive because Indian founders can now build products for global customers from day one.

Still, these sectors are competitive. A startup cannot raise money just by adding AI to its pitch deck. Investors are looking for clear revenue, strong users, sensible costs, and founders who understand their market deeply.

Follow-on funding and liquidity plans

Sparrow plans to keep 30% to 40% of Fund III for follow-on investments. Follow-on money is used when an existing portfolio company raises another round and the investor wants to continue backing it.

This is useful because good startups often need several rounds of capital before they become profitable or large enough for an exit. If Sparrow invests early but cannot support later rounds, its ownership may reduce over time.

The firm had reserved about 35% of its previous fund for follow-ons. Some companies from its first fund, including Gokwik, Apnamart, and Deconstruct, are now more mature. Sparrow expects some liquidity chances from such companies over the next two to three years. Liquidity simply means a chance for the fund to get money back, usually through a sale, secondary share sale, or another exit route.

Competitors and market position

Sparrow Capital is not alone in chasing India’s early-stage opportunity. Several venture capital firms are raising or deploying large funds for Indian startups.

Peak XV Partners has raised fresh capital for India and APAC-focused funds, including seed and venture-stage investments. Fireside Ventures has built a strong name in consumer brands. Unicorn India Ventures is focusing on areas such as semiconductors, spacetech, and AI infrastructure. Shastra VC has also launched a fund for AI and deeptech startups and Fundamentum Fund III for growth stage startups.

Compared with some of these larger funds, Sparrow’s Rs. 475 crore Fund III is more focused. It is not trying to cover every stage from seed to growth. Its main sweet spot appears to be seed and early-stage companies where it can write a meaningful first cheque and stay involved as the company grows.

That focus can be an advantage. At the seed stage, founders often need more than money. They need help with hiring, pricing, customer introductions, fundraising plans, and avoiding early mistakes.

What this means for startup founders

For founders, Sparrow’s new fund is a sign that good companies can still raise capital, even in a selective market.

But the bar is higher now. A founder will need to show why the problem is real, why customers will pay, and why the team can execute better than others. A clean business model matters more than a fashionable pitch.

A simple example would be a B2B software startup selling to global customers. If it already has a few paying clients, low customer churn, and a product that solves a painful business issue, it may attract seed investors faster than a company with only an idea and no proof.

Conclusion with key takeaways

Sparrow Capital’s Rs. 475 crore Fund III shows that early-stage investing in India is becoming more selective, but not slow. Money is still available for strong founders, especially those building in consumer, fintech, and AI-led software.

The big change is quality. Investors are putting larger cheques into fewer startups. Sparrow’s new fund is designed for that shift.

Key takeaways

• Sparrow Capital has closed Fund III at Rs. 475 crore.
• Around 60% of the fund came from global LPs.
• The firm was founded in 2020 by Yash Jain.
• Sparrow plans to invest $1 million to $2 million each in 25 to 30 startups.
• The fund will focus on larger seed cheques and more lead or co-lead roles.
• Consumer, fintech, and AI-native software are key areas of interest.

Facts Input- ET

Bengaluru-headquartered Kapture CX has raised $10 million, around Rs. 94.5 crore, in a Pre-Series B funding round led by Bajaj Finserv Ventures. Existing investors Cactus Venture Partners and India Alternatives also joined the round.

This is not an acquisition. It is a funding round meant to help Kapture CX grow faster in India and global markets. The company plans to use the fresh capital for international expansion, research and development, and product innovation.

Founded in 2014, Kapture CX builds an AI-powered customer experience platform for large enterprises. Its main job is simple to understand – help companies manage customer conversations, complaints, service requests and operational workflows without depending on too many separate tools.

What Kapture CX does

Kapture CX works in the enterprise customer experience space. That means it helps large companies handle customer support across channels such as calls, emails, chats, apps, tickets and service teams.

For example, if a bank customer raises a complaint about a failed transaction, the company needs to track the issue, assign it to the right team, follow up, and close it properly. If this is done manually, delays and confusion can happen.

Kapture CX brings these workflows into one system. Its platform can help teams see customer history, route tickets, automate repetitive work and give support agents the right information at the right time.

The company says its platform combines AI models, workflow orchestration and user interfaces into a single operating system. In plain English, it tries to make AI useful inside real business processes, not just as a chatbot on the side.

Why this funding matters

The round is important because enterprise AI is moving from experiments to actual business use. Many companies have tried AI tools, but not all have seen clear results. The real demand now is for AI that saves time, improves service and works at scale.

Kapture CX says it serves more than 1,000 enterprises across 18 countries. Its customer base includes Bajaj Finance and companies from large Indian business groups. That gives the startup a strong base to build from.

The fresh funding can help the company expand into more international markets and improve its agentic AI platform. Agentic AI means software that can take steps toward a goal, such as routing a complaint, summarizing a case or triggering a workflow, while still fitting into business rules.

Startup aim and purpose

The main aim of Kapture CX is to help enterprises deliver faster and more reliable customer service using AI.

Customer support is no longer a back-office function. A slow response can damage trust, especially in sectors like banking, insurance, travel, retail and fintech. Customers now expect quick replies, clear updates and smooth service across every channel.

Kapture CX is trying to solve this by giving companies one platform where AI and human teams can work together. AI can handle repetitive tasks, while human agents can focus on sensitive or complex issues.

For a practical example, imagine an e-commerce customer asking why an order is delayed. The system can pull order details, check delivery status, suggest a reply and create a follow-up ticket. This saves the agent time and gives the customer a faster answer.

Why Bajaj Finserv Ventures’ participation is notable

Bajaj Finserv Ventures leading the round is a meaningful signal. The investment marks its first reported bet in the AI segment.

For a fintech and financial services ecosystem, customer experience is a serious area. Banks, lenders and insurers deal with high volumes of customer queries every day. They need systems that are secure, fast and reliable.

Backing Kapture CX gives the investor exposure to enterprise AI at a time when companies are looking for practical tools, not just AI buzz.

Growth and profitability

Kapture CX has said it has grown four times since its Series A round in 2023 and has also become profitable. That matters because many AI startups are still spending heavily to build products and acquire customers.

Profitability gives the company more credibility. It shows that customers are paying for the product and that the business is not only dependent on investor money.

The company is now aiming for fivefold revenue growth over the next few years as enterprise demand for AI solutions continues to rise.

Competitors in the market

Kapture CX operates in a competitive market. Its rivals include Freshworks, Zoho Desk, Salesforce Service Cloud, Zendesk, Intercom, Sprinklr, Uniphore and other customer support or customer engagement platforms.

Each company has a different strength. Freshworks and Zoho have strong India roots and global SaaS presence. Salesforce is strong with large enterprises. Zendesk is widely used for support workflows. Uniphore focuses on conversational AI.

Kapture CX’s opportunity lies in building deep, industry-specific AI workflows for large businesses that want measurable outcomes from AI.

Challenges ahead

1. The biggest challenge will be execution. Enterprise customers expect strong security, stable performance and clean integrations with their existing systems.
2. The second challenge is AI accuracy. If AI misunderstands a customer issue or routes a complaint incorrectly, it can create more work instead of reducing it.
3. The third challenge is global competition. Many customer experience platforms are adding AI quickly. Kapture CX will need to prove that its product works better for real workflows, not just in demos.

Conclusion with key takeaways

Kapture CX’s $10 million Pre-Series B round shows that enterprise AI is becoming a serious investment theme in India. The startup has a clear purpose – help large companies improve customer service with AI-led workflows that work at scale.

Key takeaways

• Kapture CX raised $10 million in Pre-Series B funding.
• The round was led by Bajaj Finserv Ventures.
• Cactus Venture Partners and India Alternatives also participated.
• Kapture CX was founded in 2014 and is headquartered in Bengaluru.
• The company serves more than 1,000 enterprises across 18 countries.
• The funds will support international expansion, R&D and product innovation.

Facts Input- Outlook Business

Mumbai-based venture capital firm Cedar Hill Capital is preparing to close its $20 million maiden fund within the next three months. The fund is focused on AI-first enterprise fintech startups serving the BFSI sector, which includes banks, financial services companies and insurance firms. This is a timely bet. India’s fintech story was earlier led by consumer apps in payments, lending, wallets and wealth products. Now, a quieter but important shift is happening. More investors are looking at software companies that sell to banks, NBFCs, insurers and financial institutions.

Cedar Hill Capital wants to back this next layer of fintech. Its focus is not on flashy consumer apps, but on deep technology that helps financial institutions work faster, reduce risk, improve compliance and serve customers better.

What Cedar Hill Capital is building

Cedar Hill Capital is building a fund for enterprise fintech startups. These are companies that sell technology to businesses, not directly to retail users. For example, a startup may build an AI tool that helps banks detect fraud. Another may help insurers process claims faster. A third company may help NBFCs understand credit risk better before giving loans.

These are not always visible to everyday users, but they sit behind the financial system. If such tools work well, banks can become more efficient and customers can get better service.

Why the fund is focused on BFSI

BFSI is one of the strongest markets for enterprise technology because financial companies deal with large data, strict rules and high customer volumes. Banks need fraud checks, risk engines, compliance tools, customer support automation and smarter lending systems. Insurance companies need faster underwriting, claims processing and policy servicing. Wealth and capital market firms need better analytics, operations and reporting tools.

AI can help in many of these areas. It can read documents, detect patterns, automate repetitive checks, support customer service and help teams make faster decisions. This is the space Cedar Hill Capital wants to support.

The aim of the fund

The main aim of Cedar Hill Capital’s maiden fund is to back early AI-first fintech companies that can become useful infrastructure for the financial sector. AI-first means AI is not just a small feature added later. It is central to the startup’s product and business model.

For example, a regular software product may simply store loan applications. An AI-first product may study those applications, detect risk signals, verify documents and help lenders make better decisions.

The fund’s purpose is to find such companies early and help them grow into serious enterprise vendors.

Why this matters for India’s fintech market

India has already built a strong digital finance base through UPI, Aadhaar-linked services, account aggregators, digital lending, online broking and fast-growing insurance platforms. Now the next challenge is quality and scale. Financial companies need better tools to handle risk, fraud, regulation and customer expectations.

This creates a strong opportunity for enterprise fintech startups. Instead of competing for consumer attention, they can sell directly to banks, insurers and financial institutions that already have large customer bases.

This model may also be more stable than consumer fintech. Enterprise customers may take longer to onboard, but once a product becomes part of their workflow, it can create steady revenue.

What kind of startups may benefit

Cedar Hill Capital may look at startups working in fraud detection, compliance automation, lending infrastructure, insurance technology, risk analytics, AI-led customer support, document intelligence and financial data tools. A practical example is loan processing. A bank may receive thousands of loan applications. An AI tool can help check documents, spot missing information and flag unusual patterns. Human teams can then focus on final decisions.

Another example is insurance claims. AI can help read claim documents, compare them with policy terms and speed up processing. This can reduce waiting time for customers and improve efficiency for insurers.

Competitors and market view

Cedar Hill Capital will compete with other fintech and early-stage investors in India and globally. Relevant names in this space include 8i Ventures, QED Investors, Quona Capital, Flourish Ventures, Beenext, Elevation Capital, Peak XV Partners, Blume Ventures and several sector-focused angel networks.

However, Cedar Hill’s sharper focus on AI-first enterprise fintechs in BFSI gives it a more specialized position. If it builds strong relationships with banks and financial institutions, that can help portfolio startups reach customers faster.

The next journey for the fund

The next journey for Cedar Hill Capital will begin after the fund close. The firm will need to identify strong founders, deploy capital carefully and help startups win enterprise customers. This is not an easy market. Selling to banks and insurers takes time. Startups need strong security, compliance readiness, product reliability and patient sales cycles.

But if Cedar Hill can support founders through those early hurdles, the fund can become a useful platform for India’s enterprise fintech ecosystem.

Conclusion with key takeaways

Cedar Hill Capital’s $20 million maiden fund shows how India’s fintech investment story is changing. The focus is moving from consumer-heavy apps to enterprise technology that powers banks, insurers and financial companies from the inside. The fund’s aim is clear – back AI-first fintech startups that solve real BFSI problems. Its success will depend on startup selection, enterprise access and how well its portfolio companies turn AI into practical financial tools.

Key takeaways

• Cedar Hill Capital is set to close its $20 million maiden fund within three months.
• The fund focuses on AI-first enterprise fintech startups.
• Its target market is the BFSI sector, including banks, financial services and insurance.
• The opportunity lies in fraud detection, compliance, risk analytics, lending tools and insurance tech.
• The fund’s next journey will depend on careful deployment and enterprise customer access.

Facts Input- BusinessLine

Dunzo founder Kabeer Biswas is reportedly in advanced talks to raise around $9 million for his new AI venture, M. The startup is focused on AI-powered household assistants, a category that is still young but attracting interest from founders and investors.

M is not trying to build another food delivery or grocery app. It is aiming at something more personal – helping households manage daily decisions, services and tasks through AI.

The idea is interesting because Indian urban households already use multiple apps for groceries, food, repairs, cleaning, payments and errands. M wants to make that messy world easier to manage with the help of AI, voice interfaces and automation.

What M is trying to build

M is building an AI-powered household assistant. In simple words, it wants to help families manage home-related work more easily. This could include planning, coordination, booking services, managing household decisions and reducing the back-and-forth that usually happens in busy homes.

For example, a family may need help with appliance service, grocery planning, home repairs, staff coordination or other routine tasks. Instead of opening many apps or calling different vendors, a smart assistant could understand the need and help arrange the next step.

The company is currently piloting its service in around 200 households in Bengaluru’s Indiranagar area, according to ETStartup.

Founders and background

M has been co-founded by Kabeer Biswas and Kartik Mishra.

Kabeer Biswas is best known as the founder of Dunzo, the hyperlocal delivery startup that became popular for errands, groceries and quick local services. Kartik Mishra is a former Dunzo executive. That background matters because M is again dealing with consumer convenience. Dunzo tried to solve local errands through delivery networks. M is trying to solve household management through AI-led assistance.

The new venture is also a second major consumer-services bet for Biswas after Dunzo’s collapse.

Funding talks and investors

M is reportedly in advanced talks to raise about $9 million. The proposed round would extend its earlier seed round of $11 million that closed in April. If the new round goes through, M’s total funding could reach around $20 million.

Existing investors Peak XV Partners, Blume Ventures and Cred are expected to participate, along with new investors. ETStartup reported that the earlier funding valued M at around $32 million, while the new extension may happen at a modest premium.

This is still a reported discussion, not a fully closed funding announcement. So the final amount, valuation and investor mix may change.

Who M is targeting

M is currently targeting high-income households in Bengaluru. The pilot is focused on families with annual incomes above Rs. 50 lakh. The expected pricing is below Rs. 10,000 per month. That suggests M may first build for premium customers who are willing to pay for convenience and time-saving.

This approach makes sense for an early AI service. Premium households may have more complex home needs, higher spending power and greater willingness to try new convenience products.

Why investors are watching M

Investors are watching M because household automation could become a large market if the product works. Many Indian households already spend on domestic help, maintenance, subscriptions, delivery apps and service providers. But managing all of this still needs human attention. If AI can reduce that mental load, it may create a new consumer category.

The challenge is that this market has not yet proved itself at scale. People may like the idea of an AI household assistant, but the real question is whether they will pay a monthly subscription for it.

That is why investors are cautiously optimistic. The opportunity is fresh, but the business model still has to prove itself.

What can AI change in household work

AI can help by understanding requests better, remembering preferences and connecting tasks across services. For example, if a family regularly orders groceries every weekend, the assistant could suggest a list based on past needs. If an appliance has been serviced before, it could remember the history. If a repair is needed, it could help identify the right service provider and schedule the visit.

Voice interfaces can also make the product easier to use. A user may simply say what they need instead of filling forms or browsing multiple apps.

But AI alone will not be enough. Household work often needs real people, vendors and follow-ups. M will need to combine software intelligence with reliable execution.

Competitors in the space

ETStartup reported that M is part of a growing set of startups trying to automate household tasks. Names in this emerging space include Hulp, Crew, Pokus, Faff, Aviha, Robin Home, Khwaaish, Namak.io, Cookmate and Ask Feedy.

However, the category is still experimental. None of these startups has yet shown large-scale adoption.

M may also compete indirectly with Urban Company, service marketplaces, concierge services and even premium household management providers. But M’s AI-first positioning could help it stand apart if the product becomes genuinely useful.

The next AI journey for M

The next few months will be important for M. A consumer-facing launch is expected within three to four months, according to ETStartup. The company will need to answer three big questions.

1. First, can AI reduce real household effort?
2. Second, will families pay a monthly fee for it?
3. Third, can the model scale without needing too much human support behind the scenes?

If M becomes too service-heavy, it may face the same problem that many convenience startups face – high operating cost. But if it can build a strong software layer that handles many tasks efficiently, the model could become more scalable.

Conclusion with key takeaways

M is an interesting new AI bet from Dunzo founder Kabeer Biswas. The startup is trying to build an AI-powered household assistant for premium urban families, starting with a pilot in Bengaluru.

The reported $9 million funding talks show investor interest, but the business still has to prove demand and scalability. If M can turn household chaos into a smoother AI-led experience, it may create a fresh consumer category in India.

Key takeaways

• Kabeer Biswas’s AI startup M is in talks to raise around $9 million.
• M is focused on AI-powered household assistants.
• The startup is piloting with around 200 households in Bengaluru’s Indiranagar area.
• It is targeting families with annual incomes above Rs. 50 lakh.
• The service may be priced below Rs. 10,000 per month.

M was co-founded by Kabeer Biswas and former Dunzo executive Kartik Mishra.

Facts Input- ETStartup