NEW DELHI — India’s AI Impact Startups repository debuted at the India AI Impact Summit 2026, cataloging 110 startups and non-profits that deploy artificial intelligence to deliver widespread social and economic gains. Officials from the Ministry of Electronics and Information Technology announced the launch Thursday.

IndiaAI and Kalpa Impact published the repository, the first thorough mapping of India’s AI-for-impact ecosystem. It targets policymakers hunting integration-ready AI tools, investors eyeing scalable ventures and the global development community seeking models from the Global South, according to an official statement.

Indian founders crafted solutions rooted in local needs yet applicable worldwide. The database covers healthcare, agriculture, education, climate action, financial inclusion, urban mobility and public services.

Voice AI and vernacular interfaces stand out as key tools to reach underserved groups. Builders increasingly focus on homegrown foundation models, the ministry statement noted. The ecosystem shows a mix of experimentation and solid progress.

“India’s AI Impact Startups offers stakeholders a clear view of efforts matching public goals,” Abhishek Singh, additional secretary at the Ministry of Electronics and Information Technology, director general of NIC and CEO of IndiaAI Mission, said in the statement. “Policymakers can spot capabilities primed for digital public infrastructure links.”

Singh highlighted its value for industry and investors: ventures with proven tech, growth potential and staying power. The repository pulls these into one spot for smart decisions and uptake.

“India’s AI scene grows fast,” said Mohammed Y. Safirulla K, an IAS officer with IndiaAI Mission. “This captures startups shifting from tests to real-world tools serving millions.”

The summit timing highlights India’s push in AI for public good. With digital public infrastructure already in place—like Aadhaar for identity and UPI for payments—these startups plug in directly. Investors gain data on technical readiness and market fit.

Sectors break down clearly. In agriculture, AI aids crop predictions and pest detection for small farmers. Healthcare apps triage patients in rural clinics via voice in local languages. Education tools personalize learning for millions lacking access.

Climate initiatives track disasters and improve resources. Financial inclusion platforms extend credit using alternative data. Urban mobility eases traffic in megacities. Public services streamline welfare delivery.

This mapping arrives as India ramps up AI investments. The IndiaAI Mission, under Singh’s lead, coordinates national efforts. Budgets swell for compute power, datasets and skills training.

Global eyes turn to India. Replicable models from here could reshape development in similar emerging markets. The repository positions India as a hub for ethical, inclusive AI.

Access comes online via IndiaAI platforms. Updates will track ecosystem evolution. Officials expect it to spur partnerships and funding rounds.