Emergence launches Emergence India Labs (EIL), India’s first dedicated AI R&D lab focused on autonomous AI agents to accelerate the country’s shift from IT services toward advanced manufacturing, logistics, and industrial automation.

EIL envisions a broad public-private partnership to domestically develop foundational AI technologies and anchor sovereign AI capability, aiming to catalyze frontier R&D programs headquartered in India over the next five years.

The lab plans to publish frontier research in top venues such as NeurIPS, ICML, and ICLR and to anchor breakthroughs in autonomous systems within India, benefiting startups, talent development, and national infrastructure.

Professor Siddhartha Gadgil of IISc becomes Chief Scientist while maintaining his academic affiliation.

Key leadership and researchers include Dr. Prasenjit Dey, Dr. Ravi Kokku, and Professor Siddhartha Gadgil, who will lead and guide the India-based operations.

Emergence AI employs researchers from Google DeepMind, IBM Research, and the Allen Institute for AI, with a focus on anchoring Indian talent and leadership in AI development.

Global context highlights China’s growing dominance in natural sciences and rising share of industrial robot installations, underscoring the strategic importance of India building a homegrown frontier AI ecosystem.

EIL is backed by tens of millions of dollars in initial inward R&D investment and plans to scale to about 500 researchers within three to four years.

EIL aims to hire 500 top scientists over the next three to four years to become a hub for frontier AI research in India.

Co-founder and CEO Satya Nitta emphasizes building autonomous AI systems for mission-critical infrastructure, with potential extensions into robotics and industrial infrastructure.

The lab will be located near IISc in Bengaluru and will collaborate with IISc through joint research, exchanges, hackathons, and summer schools to build a domestic talent pipeline for autonomous systems.

LEAn principles and formal verification will ground the AI agents to ensure reliable autonomous decision-making.