Indian companies are making strategic moves across travel, defence technology and IT services. MakeMyTrip is reportedly examining a deal for carpooling platform Quick Ride, Zen Technologies has approved a majority investment in Cogknit Semantics, and Persistent Systems is preparing longer-term funding for its Nagarro acquisition.

These are not identical transactions. One remains under discussion, one is board-approved but awaits closing conditions, and one is part of a large acquisition already moving towards completion.

MakeMyTrip explores a Quick Ride acquisition

MakeMyTrip is reportedly in due diligence to acquire Quick Ride through its redBus business. Due diligence is the stage where a potential buyer studies a company’s finances, technology, legal matters and business operations before signing a final agreement.

Quick Ride was founded in 2014 by K.N.M. Rao and Shobhana Sriram. It connects people travelling on similar routes for carpooling and bike pooling, with a strong focus on office commuters.

The reported deal may involve cash and equity, but no official valuation, price or closing date has been announced. This means the transaction could still change or fail to close.

The move makes strategic sense because redBus already operates rPool, its own carpooling offering for verified professionals. Quick Ride could add users, commuter routes and operational experience in a market where daily traffic congestion remains a serious issue.

Quick Ride competes with carpooling alternatives and, more broadly, with ride-hailing services such as Ola, Uber and Rapido. However, its shared-commute model is designed more around lowering travel costs than booking an individual cab.

Zen Technologies targets Cogknit Semantics

Zen Technologies has approved an investment of up to Rs. 135.15 crore for a 51.98% stake in Cogknit Semantics as per its Press release. Once customary closing conditions are met, Cogknit will become a Zen Technologies subsidiary.

Cogknit is a Bengaluru-based defence technology company that builds battlefield management and situational-awareness systems. A battlefield management system is software that helps military units view and share important information, such as location, equipment status and field updates, in real time.

Zen is known for defence training simulators and anti-drone systems. Cogknit’s technology could help Zen move further into software-led defence operations, rather than focusing only on simulation and training equipment.

The company said its investment includes fresh funding for Cogknit as well as the purchase of existing shares. Cogknit’s founding team is expected to continue leading the business after the transaction.

Persistent’s Nagarro funding plan

Persistent Systems is reportedly preparing to raise up to $450 million through equity, a Qualified Institutional Placement or QIP, and other equity-linked instruments as per Moneycontrol.

A QIP allows a listed Indian company to raise money from qualified institutional investors, such as mutual funds and insurance companies. It can provide capital quickly, but issuing new shares may reduce the ownership percentage of existing shareholders.

The planned funding is linked to Persistent’s acquisition of German digital engineering company Nagarro. Persistent has already secured about 94.04% of Nagarro’s share capital through its takeover offer, according to the company. The transaction is expected to close by the end of the first quarter of calendar year 2027, subject to remaining approvals.

Persistent wants to replace short-term bridge financing with longer-duration debt and equity. The combined business would strengthen its presence in Europe and broaden its AI-led digital engineering capabilities.

Wipro has announced a new Applied AI Center of Excellence in Bengaluru for Claude models, powered by Anthropic. The move is aimed at helping large companies use AI in real business work, not just in experiments or small pilots.

The company also plans to train 10,000 Wipro professionals on Anthropic’s Claude models. This is a clear signal that Indian IT services firms are moving quickly from AI discussion to AI delivery.

For businesses, the real question is simple. Can AI reduce manual work, improve customer support, speed up software development, and help employees make better decisions? Wipro’s new center is built around that challenge.

What Wipro has announced

Wipro’s Applied AI Center of Excellence will focus on Claude models from Anthropic. Claude is a family of AI models used for tasks such as writing, coding, research, document analysis, customer support and workflow automation.

The Bengaluru center is expected to help Wipro build, test and deploy AI-led solutions for clients across industries. These may include banking, healthcare, retail, telecom, manufacturing and technology services.

Wipro is also training 10,000 experts on Claude. That matters because enterprise AI cannot work only through software licences. Companies need trained teams who understand business processes, data safety, compliance and real customer needs.

Why Claude models matter

Anthropic is an AI safety and research company. It describes itself as a company building reliable and understandable AI systems. Claude is its main product family.

For enterprises, Claude’s appeal is linked to long-document understanding, coding support, reasoning-style tasks and safer AI use. In plain English, it can help teams read large files, summarize information, draft responses, write code, check risks and assist employees in day-to-day work.

For example, a bank may use Claude-based tools to help customer service teams answer queries faster. A software company may use it to review code or modernize old applications. A legal or compliance team may use it to study long policy documents and highlight important points.

Impact on Wipro’s enterprise AI business

This center can help Wipro move faster in enterprise AI projects. Instead of building every client solution from scratch, Wipro can create reusable tools, frameworks and tested methods around Claude models.

That can improve speed. A retail client may need an AI assistant for customer support. A telecom client may need an AI tool for network issue analysis. A bank may need document review support. The industries are different, but some AI building blocks can be reused.

It may also help Wipro compete better with other large IT services companies. TCS recently announced a global partnership with Anthropic, while Accenture, Infosys, HCLTech and Cognizant are also investing heavily in generative AI services.

What it can change for companies

The biggest change can come in repetitive office work. Many employees spend hours reading emails, preparing reports, checking documents, creating presentations or searching internal systems. AI can reduce that time if used carefully.

In customer support, AI can help agents find the right answer faster. In software teams, it can help write test cases, review code and explain old systems. In finance teams, it can help compare documents, track exceptions and prepare summaries.

But this does not mean AI will simply replace every job. In most enterprise settings, the bigger change is workflow redesign. People may still make final decisions, while AI handles first drafts, checks, summaries and routine steps.

Why Bengaluru is important

Bengaluru is already one of India’s strongest technology hubs. Wipro placing the center there makes sense because the city has deep engineering talent, enterprise software experience and access to AI professionals. For India’s tech industry, this also shows how global AI companies are entering enterprise adoption through service partners. Anthropic builds the models, while companies like Wipro help large clients apply them inside real systems.

This model can become important because many enterprises do not want to directly experiment with AI without guidance. They need help with security, data access, employee training and business integration.

Competitors overview

Wipro is entering a crowded but fast-growing field. TCS, Infosys, HCLTech, Tech Mahindra, Cognizant, Accenture and IBM are all pushing enterprise AI services. On the model side, Claude competes with OpenAI’s GPT models, Google Gemini, Meta’s Llama models, Mistral and other enterprise AI platforms. Many large companies may choose more than one model depending on task, cost and safety needs.

Wipro’s advantage will depend on execution. Training 10,000 people is a strong start, but clients will judge results by business outcomes. They will ask whether AI reduces cost, improves speed, lowers errors or opens new revenue opportunities.

Risks and challenges

Enterprise AI still has real challenges. AI systems can make mistakes, misunderstand context or produce confident but incorrect answers. That is why companies need review processes and clear rules.

Data privacy is another concern. Banks, hospitals and large companies cannot freely share sensitive data with AI systems without proper controls. Wipro will need to show clients how data will be protected.

There is also the human side. Employees may worry about how AI affects their work. Good AI adoption needs training, clear communication and practical use cases that help teams rather than confuse them.

Conclusion with key takeaways

Wipro’s Applied AI Center of Excellence for Claude models is an important step in India’s enterprise AI story. It shows that AI adoption is moving from demo rooms into serious business workflows.

The center can help Wipro build industry-ready AI tools, train a large workforce and support clients that want safer and more practical AI systems. The real test will be whether these solutions deliver measurable value, not just impressive announcements.

Key takeaways

• Wipro has launched an Applied AI Center of Excellence in Bengaluru for Claude models.
• The center is powered by Anthropic’s AI technology.
• Wipro plans to train 10,000 professionals on Claude models.
• The move can help clients use AI in customer service, coding, document work, compliance and business operations.

Competitors include TCS, Infosys, HCLTech, Accenture, Cognizant and other enterprise AI service providers.

Facts Input