About 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 Compute Capacity: This pillar focuses on creating a scalable AI computing ecosystem with over 10,000 GPUs through public-private partnerships to meet the demands of India's growing AI startups and research community. An AI marketplace will offer AI as a service and pre- trained models, serving as a central hub for essential AI resources.
- IndiaAI Innovation Centre: This centre is dedicated to developing and deploying indigenous Large Multimodal Models (LMMs) and domain-specific foundational models in critical sectors.
- IndiaAI Datasets Platform: This platform aims to streamline access to high-quality non-personal datasets for AI innovation. A unified data platform will provide seamless access to these datasets for Indian startups and researchers.
- IndiaAI Application Development Initiative: This initiative promotes AI applications in critical sectors by addressing problem statements from Central Ministries, State Departments, and other institutions. It focuses on developing, scaling, and promoting the adoption of impactful AI solutions with the potential for large-scale socio-economic transformation.
- IndiaAI FutureSkills: This pillar aims to reduce barriers to entry into AI programs by increasing AI courses at the undergraduate, master's, and Ph.D. levels. Data and AI Labs will be established in Tier 2 and Tier 3 cities to offer foundational courses.
- IndiaAI Startup Financing: This pillar supports and accelerates deep-tech AI startups by providing streamlined access to funding for innovative AI projects.
- Safe & Trusted AI: This pillar focuses on ensuring the responsible development, deployment, and adoption of AI by implementing Responsible AI projects, developing indigenous tools and frameworks, self-assessment checklists for innovators, and other guidelines and governance frameworks.