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India’s ambitious journey to build a safe, inclusive, and powerful AI ecosystem is entering a crucial execution phase. After months of behind-the-scenes development, real-time deployments under the IndiaAI Mission are finally picking up pace—and the startup ecosystem has a central role in shaping this future.
Starting September this year, four out of the eight Responsible AI (RAI) solutions developed under the IndiaAI Mission’s ‘Safe and Trusted AI’ pillar will be made available to the public through the AIKosha portal, according to Kavita Bhatia, Chief Operating Officer of the IndiaAI Mission.
The solutions—spanning areas like machine learning, bias mitigation, risk analysis, and fairness assessment—are being touted as key instruments in ensuring AI tools built in India align with ethical and responsible standards.
This marks a significant shift—from building roadmaps to launching public-facing, ready-to-deploy AI frameworks.
What Are These Responsible AI Solutions About?
AI is only as good as the values it’s built upon. The Responsible AI (RAI) arm of IndiaAI Mission focuses precisely on this: ensuring transparency, fairness, and explainability in artificial intelligence applications.
Out of eight solutions commissioned under this theme, four are now deployment-ready and expected to roll out in phases from September to December. These solutions are being designed to actively detect bias, measure risk in AI systems, and improve accountability through fairness scoring.
The remaining tools, including the deepseek detection system (which aims to identify deepfakes and misinformation), are still under development. Bhatia confirmed that these are receiving a strong response—over 400 applications have been submitted by developers, researchers, and AI-focused startups to work on these tools. Importantly, these tools are also expected to be open-sourced in the future, making them widely accessible and editable.
More Innovation Ahead: 30 New AI Projects in Healthcare, AgriTech, Climate & Learning Disabilities
In addition to the responsible AI tools, the government is also set to roll out 30 projects under the Application Development Initiative within a month. These will be launched as "try models"—essentially prototypes that can be used, tested, and improved upon.
What makes them exciting? Their thematic diversity.
These projects cut across healthcare, agriculture, climate change management, governance, and even learning disabilities—demonstrating IndiaAI’s broader commitment to inclusivity and societal impact.
Startups at the Centre: India’s LLM Push Backed by Indian Innovators
As part of its foundational AI ecosystem-building plan, the government has already selected four AI startups to build Large Language Models (LLMs) tailored to Indian needs:
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Sarvam AI
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Soket AI Labs
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Gnani.ai
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Gan.ai
Sarvam AI was the first to be selected and has already gained early traction in Indian developer circles. The inclusion of three more shows the government’s push toward enabling homegrown generative AI talent to build alternatives to global AI giants.
This is a strong nod to India’s growing prowess in foundational AI development and indicates a desire to build models that understand Indian languages, contexts, and sensitivities.
Powering the Vision: GPU Tender and Supercomputing Infrastructure
Of course, AI innovation cannot thrive without infrastructure. Recognizing this, the Centre has been moving fast on the GPU front as well.
In the second round of GPU tendering, seven companies have cleared technical presentations and are expected to provide AI computing infrastructure in the coming months. These include:
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Sify Digital Services
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Netmagic IT Services
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Vensysco Technologies
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Cyfuture India
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Yotta Data Services
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Locuz Enterprise Solutions
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Ishan Infotech
This is part of a broader plan under the IndiaAI Mission to deploy 10,000+ GPUs across the country, enabling access for startups, academic institutions, research labs, and government agencies.
A Quick Recap: The IndiaAI Mission So Far
Launched in 2024 with a massive outlay of ₹10,372 crore over five years, the IndiaAI Mission is one of the most ambitious technology ecosystem pushes in India’s recent history.
The mission’s key goals include:
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Building India-specific AI tools
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Enhancing public-sector AI infrastructure
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Supporting ethical and explainable AI
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Supporting startups to create indigenous AI IP
Last year, the government had selected eight strategic projects under the Responsible AI theme from 2,000+ proposals received in response to its EoI (Expression of Interest). This clearly showed the Indian startup and innovation community’s readiness to contribute toward nation-building through AI.
In a separate exercise, the government also received 506 proposals to build foundational AI models, which will be processed across three phases.
Why This Matters for India’s Startup Ecosystem
For Indian startups, the IndiaAI Mission isn’t just a government project—it’s a giant open door.
From LLM development to application-specific models and infrastructure support, the mission is putting Indian AI startups at the centre of national innovation. It offers not just funding and infrastructure but also legitimacy and scale.
With projects focusing on climate change, learning disabilities, governance, and fairness in AI, Indian innovators now have a clear direction, and more importantly, government backing, to build for India—and the world.
India’s AI moment is here, and it’s no longer just an idea on paper. With tools going live, startups getting picked, infrastructure rolling out, and thousands of innovators engaging with the mission, India is fast building a responsible and scalable AI ecosystem.
If you're a startup founder, AI researcher, or just someone who cares about technology being used responsibly—this is the space to watch.