Tired of ads? Enjoy an ad-free experience by signing up.
👩‍🍳 How we use AI at Tech in Asia, thoughtfully and responsibly.
🧔‍♂️ A friendly human may check it before it goes live. More news here

India’s AI Kosh hits 1,000 datasets to expand digital infra

India’s government said its AI Kosh platform has surpassed 1,000 publicly available datasets, extending the country’s open-data efforts into AI.

AI Kosh, managed by the Ministry of Electronics and IT, aggregates machine-readable datasets from government and private sources for use by startups, researchers, and students.

Officials said the initiative aims to lower barriers for AI development by providing free access to curated data, supporting applications across sectors such as healthcare, agriculture, and multilingual services.

The expansion of AI Kosh is part of a wider push that includes acquiring 38,000 GPUs and backing local large language models.

Ministry secretary S. Krishnan described data as a core part of the India AI Mission, alongside compute resources and domestic AI models.

He added that new datasets are added regularly, and that the platform draws on both government and private sector contributions.

Global organizations, including the World Bank, have acknowledged India’s approach to open data for AI.

🔗 Source: YourStory


🧠 Food for thought

1️⃣ India replicates its digital infrastructure playbook for the AI era

AI Kosh’s milestone follows India’s established pattern of creating open, democratized digital infrastructure that transforms entire sectors.

Just as UPI processed over 100 billion transactions in 2023 by making digital payments freely accessible, AI Kosh aims to democratize AI training data by providing 1,000+ datasets at no cost1.

This mirrors how Aadhaar’s identity layer enabled fintech innovation by removing authentication barriers. Similarly, AI Kosh removes data access barriers that typically cost startups thousands of dollars per dataset.

The government has allocated ₹10,300 crore specifically for AI capabilities, including 18,693 GPUs for computing infrastructure, demonstrating the same comprehensive approach that made India’s earlier digital public infrastructure successful2.

S. Krishnan’s description of data as the “third pillar” alongside GPUs and indigenous LLMs reflects how India is systematically building each component needed for AI self-reliance, reducing dependence on foreign providers1.

2️⃣ Strategic timing positions India uniquely as global AI competition intensifies

Stay ahead in Asia’s tech landscape

You've reached your 2 free content limit for the month. Sign up for free to read the full story.

🏄 For casual readers / 👶 Free

Basic

US$0

Free forever

Get instant access to this article and more every month

0 premium content

Unlimited news briefs

5

5 articles

Ad-free reading experience

Just US$0 per day

⌛Sign up in 20s. No payment details needed.

📖 For learners / 👍 Starter

Lite

US$4.92/month

Billed annually at US$59/year

Get instant access to this article and more every month

4

4 premium content

Unlimited news briefs & articles

Ad-free reading experience

Just US$0.17 per day

Cancel anytime

Our subscriber community includes professionals from these companies:

Stay updated on the go with our mobile app.

Get latest insights with smoother, more personalized experience through TIA mobile app.