13 articles
Sarvam AI is building what no one else in India has managed to do at scale: a large language model that truly understands India — its languages, its dialects, its cultural context, and its billion-plus users. Backed by $41 million in funding and a team of world-class researchers, the Bengaluru startup may be the most important AI company India has ever produced.
When Bhavish Aggarwal, the co-founder of Ola, announced that he was pivoting his attention to artificial intelligence, the Indian startup ecosystem took notice. Less than a year later, his new venture Krutrim — Sanskrit for "artificial" — had become India's first AI unicorn, valued at over $1 billion. But is Krutrim building something genuinely transformative, or is it riding the AI hype wave?
Yellow.ai started as a simple chatbot company in Pune in 2016. Today it is one of the world's leading conversational AI platforms, serving over 1,100 enterprise customers across 85 countries, and processing more than 2 billion conversations every year. Its journey from a modest Indian startup to a global AI leader is one of the most instructive stories in Indian tech.
As India doubles down on becoming a global AI talent hub, policymakers are sketching early guardrails around deepfakes, critical infrastructure, and public-sector deployments.
The Indian government has approved a ₹10,372 crore outlay for its National AI Supercomputing Mission, aiming to build sovereign AI infrastructure that will power research institutions, startups, and government services across the country by 2027.
Researchers at IIT Bombay's Centre for AI Research have released BharatLM 2.0, an open-source large language model trained natively on all 22 scheduled Indian languages — the most comprehensive Indic AI model ever built, designed to serve the 900 million Indians who prefer to communicate in languages other than English.
The Union Cabinet has approved a ₹10,372 crore AI Mission spanning GPU infrastructure, Indic foundation models, startup grants, and PhD fellowships — India's biggest AI bet yet.
Sarvam AI has raised ₹230 crore to expand its 22-language Indic LLM suite, targeting the 900 million Indians underserved by English-only AI products.
A six-month AIIMS Delhi pilot shows AI triage cut emergency wait times by 40% and correctly escalated 94% of high-acuity patients — with a national rollout under evaluation.
IIT Madras's HydraAttn mechanism cuts transformer training memory by 60% while matching full-attention accuracy — a potential breakthrough for long-context AI on constrained hardware.
edVerse's offline-capable Hindi voice AI tutors have reached 180,000 rural students across Rajasthan and Bihar, showing 1.8 grade-level gains in maths in an independent evaluation.
MeitY's draft AI ethics framework lays out principles of fairness, transparency, and accountability — but critics note it is voluntary and lacks any enforcement mechanism.
Paytm's new AI credit engine uses 200+ alternative data signals to assess 400 million thin-file borrowers excluded from formal credit — showing 23% lower defaults in a 6-month pilot.