India’s AI story is moving beyond chatbots. New announcements this week show how artificial intelligence is entering insurance decisions, public helplines, telecom operations, and everyday software tools.

IntellectAI has launched a portfolio tool for insurers, ElevenLabs highlighted voice AI work in India, Vi has partnered with PwC India for enterprise AI, and Meta has introduced its smallest Muse model. Together, these updates show where AI may become useful in real business settings.

IntellectAI brings faster decisions to insurers

IntellectAI, the insurance technology unit of Intellect Design Arena, has introduced Xponent Portfolio Navigator, also called XPN. It is designed for commercial and specialty insurers, reinsurers, and managing general agents.

Insurance firms handle large groups of policies, often called a portfolio or book of business. XPN is meant to help teams spot warning signs early, such as a group of policies becoming more expensive or risky than expected.

For example, if claims from a certain region or type of business start increasing, an insurer may review pricing, ask for more information, or decide not to renew selected policies. IntellectAI says XPN brings these actions and portfolio data into one place instead of making teams switch between reports and separate systems.

The key benefit is speed. However, insurance decisions still need human judgment, especially when pricing or policy renewal affects customers. IntellectAI says insurers can decide where AI may assist and where a person must review the decision.

ElevenLabs puts voice AI into the India conversation

At its first India Summit in Bengaluru, ElevenLabs showcased how voice AI can be used for learning, accessibility, and public services. The company also signed an MoU with the Karnataka government to explore voice-based AI for citizen services.

Possible use cases include grievance helplines, public-information services, and benefit schemes. The aim is to make services easier to use through spoken interaction in Kannada and other Indian languages supported on the platform.

ElevenLabs co-founder and CEO Mati Staniszewski signed the agreement with Karnataka’s IT and Home Affairs Minister Priyank Kharge. The company says its safety approach will include consent controls, deepfake detection, watermarking, and fraud prevention.

This is important because a convincing cloned voice can be helpful for accessibility but harmful when used without permission. Strong consent and verification will be essential before voice AI is used widely in government services.

Vi and PwC India build an enterprise AI lab

Vodafone Idea, or Vi, has launched an AI initiative called Vi Intelligence in partnership with PwC India. The centrepiece is the Vi Intelligence Lab, where PwC India will place a dedicated team alongside Vi in Mumbai.

The lab will focus on three areas: AI that assists employees, AI that can complete multi-step tasks under controls, and responsible AI that follows data, security, and compliance requirements.

For a telecom company, this could mean faster customer support, better network issue detection, and tools that help employees solve routine problems. Vi also plans incubation projects, hackathons, workforce training, and a process to move tested ideas into pilot projects.

Vi will use its GRACIE framework to review AI use cases. The company has not announced funding, customer names, or a timeline for specific products, so the initiative is still at an early stage.

Meta’s Muse Ember arrives as India pricing surfaces

Meta has launched Muse Ember, its smallest and most cost-efficient Muse AI model. It is aimed at repetitive, high-volume tasks such as document processing, coding sub-tasks, and routing work between software tools.

Meta says the model accepts text, images, audio, and video, and is available through Muse Code and the Meta Model API. Its listed API price is $0.10 per million input tokens and $0.50 per million output tokens.

Separately, reports say Meta’s Muse personal AI agent has displayed India pricing of Rs. 1,799 for a Power plan and Rs. 8,999 for a Maximum plan. Meta has not announced an India launch date or confirmed that these prices are final. Indian users should therefore treat them as reported listings, not a final launch announcement.

What these announcements mean

The bigger shift is practical AI. Insurers want clearer risk signals, citizens may benefit from local-language voice services, telecom firms want smarter operations, and developers need cheaper models for routine work.

The winners will not simply be the companies with the most advanced model. Trust, pricing, language support, privacy, and reliable real-world use will matter just as much.

India’s AI startup market has received another strong signal from investors. VC firm Activate has closed its maiden AI-focused fund at $105 million, with a plan to back young companies building around artificial intelligence.

Activate was founded in December 2025 by Aakrit Vaish, former CEO and co-founder of Haptik, and Pratyush Choudhury, a former partner at Together Fund.

The firm calls itself an India-native AI venture firm and wants to support founders from the very beginning, sometimes even before a company is formally incorporated.

Activate fund – What the $105 million includes

As per Dealroom, Activate’s maiden fund includes an $85 million early-stage vehicle and $20 million through dedicated growth investment vehicles. The fund has reportedly closed above its original target, which shows strong investor confidence in India’s AI opportunity.

The firm plans to back around 25 to 30 startups. Its first cheques are expected to be in the range of $500,000 to $3 million. These investments will mostly go into pre-seed, seed and idea-stage AI startups.

In simple words, Activate is not waiting for startups to become big before investing. It wants to work with founders when the idea is still being shaped.

What Activate wants to invest in

Activate is focusing on three broad areas – AI applications, foundational models and physical infrastructure.

AI applications are tools that solve real business or consumer problems using AI. For example, an AI tutor for students, an AI sales assistant for small businesses or an AI tool for doctors to manage patient notes.

Foundational models are deeper technology plays, such as language, voice, video or coding models built for specific needs. Physical infrastructure can include compute, robotics or hardware-linked AI systems.

The firm believes India can create strong AI companies in sectors where the country already has scale, such as commerce, financial services, education, healthcare and services.

Why this fund matters for Indian AI startups

AI startups need more than money. They need access to models, cloud credits, technical feedback, hiring help and customer introductions. Activate is trying to build that support system around its fund.

The firm says its network includes a GenAI community of more than 15,000 technical practitioners. It has also listed partnerships with major AI and cloud companies such as NVIDIA, OpenAI, Anthropic, AWS, Microsoft Azure, Google Cloud and Notion. Portfolio companies may get up to $1 million in credits and benefits.

For an early-stage startup, this can be useful. A small team building an AI product may spend heavily on cloud and model usage before earning revenue. Support like credits and technical access can reduce early pressure.

Investors and early bets

Activate’s limited partners include founders, AI researchers, family offices, enterprises, global VC partners and well-known technology investors. Names mentioned across reports and the firm’s website include Vinod Khosla, General Catalyst, Vijay Shekhar Sharma, Ronnie Screwvala and Ranjan Pai.

The firm has already made investments in startups such as Sarvam AI, ElevenLabs and Wispr Flow. It has also backed several early-stage companies through its Inception strategy, though some of them are still in stealth.

Competitors and market context

Activate is entering a busy space. Other investors are also increasing their focus on AI and deeptech. Accel has launched a large AI and deeptech fund, while Elevation Capital has also moved strongly toward AI-focused investing.

The difference Activate wants to create is early involvement. Its aim is to work closely with founders at day zero, help refine the idea and then support product, hiring and future fundraising.