Google.org backs Pune-based healthtech startup Froncort.AI with $2.3 M to triple TB screening efficiency


Google.org backs Pune-based healthtech startup Froncort.AI with $2.3 M to triple TB screening efficiency

November 10, 2026 | Tuesday | News

Froncort.AI helps frontline health workers find TB cases earlier while screening far fewer people than routine methods

Google.org has provided $2.3 million in funding, $200,000 in Google Cloud credits, and pro bono technical expertise to Froncort.AI, a Pune-based healthcare AI startup which guides frontline health workers in identifying areas that are highly susceptible to undiagnosed tuberculosis (TB) and other infectious diseases. This also helps direct resources to identify urgent cases and prevent further spread of infection. 

Froncort.AI is one of 15 recipients selected for the global cohort of Google.org’s Impact Challenge: AI for Government Innovation This builds on Google.org’s previous support for the company’s AI-NETRA validation study in 2025.

This new funding will enable the development of mAI-NETRA, the mobile edition of AI-NETRA: an offline-first, local-language app that puts Froncort.AI’s advanced machine learning and AI directly in the hands of frontline health workers, on their own phones. Using government health programme data, Google’s Earth AI models and local signals such as settlement density, land use, rainfall and flooding, AI-NETRA identifies high-risk 300-metre areas and turns them into ranked work-paths with household clusters and routes frontline workers can follow in the field. Google’s models provide the satellite and environmental insights, while all government health programme data remains stored and processed locally in India.

Froncort.AI’s app will be deployed in up to eight high-burden districts in three Indian states, spanning two to three million people. Its performance will be monitored independently against five objective targets, including at least 20% more cases found, more than 50% fewer people screened per case, faster sample transport, lower government cost per case detected, and higher performance-based earnings for frontline workers. The mAI-NETRA app will be published as an open-source blueprint, enabling other governments to adopt, adapt, and sustain the capability themselves without relying on a single vendor.



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