Vitti Projects
End-to-end AI project delivery, from scoping to production build, for organisations of every kind, delivered by a lean, senior-led studio model.
Explore MoreEmpowering India's AI future through talent and execution.

End-to-end AI project delivery, from scoping to production build, for organisations of every kind, delivered by a lean, senior-led studio model.
Explore MoreDeep AI capability building across Industry, Talent, Academia, and Government, turning AI learning into real, deployable capacity.
Explore MoreBuilding the networks, partnerships, and policy relationships that open new doors for AI in India, from CSR to public good to institutional access.
Explore MoreIndia has AI ambition. It does not yet have AI depth. AI learning is certificate-heavy, not capability-driven. Industry cannot find delivery-ready AI talent. AI projects remain costly, consultant-led, and slow. AI for public good, agriculture, governance, water, remains fragmented.
Left unaddressed, India risks becoming an AI user, not an AI builder. Vitti is built to close that gap.
Most AI running inside Indian organisations today sits on infrastructure, models, and assumptions built elsewhere. The context is Western. The nuance is not Indian.
Other nations are already building sovereign AI capability. Vitti is building the talent, delivery capacity, and research base for an AI ecosystem that is India's own.
1500+
Students Trained
15+
Projects Delivered
10+
University MoUs
9+
Years of Experience




The Centre for Advancement of Artificial Intelligence and Robotics (CAAIR) is the research and education institution Vitti was built on, one of India's first institutions focused entirely on AI, education, and applied research.
CAAIR's programmes in AI, Machine Learning, Robotics, Cognitive Technology, and Data Analytics remain the academic foundation of Vitti Research Institute's talent and academia work.

Why This Voice Matters
India’s AI future will depend on whether the country can build stronger capabilities in compute, chips, infrastructure, talent, and public-interest deployment. Kundana K. Lal sees this as a question of technological self-reliance and equitable access, making the point that it is not only about adopting AI. It is about building the foundations needed to shape it. His perspective is informed by more than three decades of experience across technology, R&D, cloud delivery, and AI innovation.