
Coforge Is Outgrowing Its Larger Rivals. Is AI the Reason?
Coforge’s 53.6% Q2 revenue jump includes Encora. The company is moving from selling engineering hours to selling outcomes.
Fresh reporting, analysis and breakthroughs from the world of AI — published the moment they happen.

Coforge’s 53.6% Q2 revenue jump includes Encora. The company is moving from selling engineering hours to selling outcomes.

"Self-hosting GLM brings our blended cost of tokens to 30 cents per million. Our invoice is now one-tenth of what we were spending on Anthropic and OpenAI,” said David Abitbol, who leads AI operation

Enmovil's expansion addresses the need for AI across complex supply chains, where solutions must fit unique customer workflows and operational limits.

The platform provides a single API to access open AI models, including NVIDIA Nemotron, Sarvam, DeepSeek and Qwen, through NVIDIA GPU infrastructure hosted in India.

The platform has not only added 4 million CPU cores and 160 PB of internal storage, but it is also rebuilding core Git primitives by decoupling compute from storage.

CFO Kevan Parekh also confirmed that India contributed to Apple’s best fiscal year for iPhone upgrades.

The divide is visible in the difference between the resources available to urban and rural students.

The company will use the capital to expand its AI team and develop its Large Logistics Spatio-Temporal Model, which it uses to improve delivery allocation and reduce idle time for riders.

Coforge's 18-year relationship with Pega underpins the launch, adding another offering to its customer experience portfolio.

The offering combines specialised agents and conversational assistants for system administration, observability and optimisation, with human oversight.

By modifying just 0.016% of the model’s weights, Astra increased its score on the MATH-500 benchmark from 7.9% to 48.1%.

Building an AI-first company takes more than deploying agents. It requires rethinking how people work, how processes run and how businesses create value.

AI is moving beyond crop monitoring to procurement, price prediction and traceability. But fragmented data and weak incentives could limit its impact across India's agricultural supply chain.

Anthropic attributed the latest quarter’s operating loss of $567 million, partly to its reliance on short-term computing capacity.

ADNOC will use GPT models for operational decision-making, while Abu Dhabi is piloting AI-powered food import compliance checks.

The right test management solutions help teams organise testing, track execution, maintain traceability, and improve software quality across the development lifecycle.

Ostara Advisors says deep-tech, energy storage and green financing will lead India's climate-tech investment in 2027.

NeuroDX’s Sphota claims 50x greater training data efficiency and 4.5x better memory efficiency than a comparable Liquid AI model.

The prototype generated its first AI response using an onboard TPU, as Google prepares to test the hardware against radiation and thermal stress.

The certification recognises how data science teams work across the company and global client programmes.

The proposed system reported a 15.7-minute 95th-percentile task completion time in simulated tests, compared with 29.5 minutes for a single-session approach.

The text-to-speech model powers more than one million calls daily and delivers approximately 30% better pronunciation accuracy on selected terms, according to the company.

Indian engineers found that replicating San Francisco’s model wasn’t enough to scale. Success required a deeper understanding of user behaviour and engagement, a gap Suhas Motwani is working to bridge.

AI-native consultancies are positioning themselves as smaller, faster engineering partners that can take AI projects from concept to production in days, not months

The company said that metrics that often grab attention, such as token usage, the number of AI tools used, code changes, the number of reviews, and more, are “deeply flawed”.

The company’s Prisma v3.0 supports nine Indian languages and English, with the company reporting lower transcription error rates than competing models on a multilingual benchmark.

The company will use AI to improve supplier intelligence and B2B sourcing as it expands its precision manufacturing capabilities.

The company reported approximately $16.3 billion in revenue for the first half of 2026.

Indian IT firms are taking over technology teams and specialist businesses. Integrating their workforces while protecting client relationships and margins presents a challenge.

The company has launched Bivia, a multimodal decision model designed to help enterprise AI agents make domain-specific decisions and verify evidence across different data formats.
Unlimited access to premium articles, exclusive analysis, and the stories shaping India's AI economy.
Excellence in AI Journalism
AI Education
AIM Americas
1190 Miraloma Way Suite P, Sunnyvale, CA 94085
AIM India
1st Floor, Sakti Statesman, Bellandur, Bengaluru – 560103
Contact
[email protected]© 2026 AIM. All rights reserved.