IndiaAI Mission

The IndiaAI Mission aims to build a comprehensive ecosystem that fosters AI innovation by democratizing computing access, enhancing data quality, developing indigenous AI capabilities, attracting top AI talent, enabling industry collaboration, providing startup risk capital, ensuring socially impactful AI projects, and promoting ethical AI. This mission drives responsible and inclusive growth of India's AI ecosystem through following seven pillars.

IndiaAI Mission Pillars
IndiaAI Compute Capacity

Focuses on building a scalable AI ecosystem with 10,000+ GPUs via public-private partnerships, offering AI services and resources

IndiaAI Innovation Centre

Focuses on developing and deploying indigenous Large Multimodal Models and domain-specific foundational models

IndiaAI Datasets Platform

Focuses on streamlining the access to high-quality non-personal datasets for AI innovation

IndiaAI Application Development Initiative

Develops, scales, and promotes impactful AI solutions for large-scale socio-economic transformation

IndiaAI FutureSkills

This pillar aims to expand AI education at all academic levels and establish Data and AI Labs in Tier 2 and 3 cities

IndiaAI Startup Financing

This pillar accelerates deep-tech AI startups by streamlining access to funding for innovative AI projects

Safe & Trusted AI

Focuses on ensuring responsible AI via projects, tools, checklists, and governance frameworks for responsible development and use

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Global IndiaAI Summit

Continuing the Government of India’s commitment to advancing the responsible development, deployment, and adoption of AI, the ‘Global IndiaAI Summit’ was organized on July 3rd and 4th, 2024, in New Delhi, India. The Summit focused on key pillars of the AI ecosystem, including Compute Capacity, Foundational Models, Datasets, Application Development, Future Skills, Startup Financing, and Safe and Trusted AI.

Global Partnership on AI

A multi-stakeholder initiative which aims to bridge the gap between theory and practice on AI by supporting cutting-edge research and applied activities on AI-related priorities.