Google.org Gives Froncort.AI $2.3 Million to Expand AI Disease Screening Across India

November 10, 2026
Google.org Gives Froncort.AI $2.3 Million to Expand AI Disease Screening Across India
  • The funding will support mAI-NETRA, an offline-first, local-language mobile app that helps frontline health workers decide where to screen and how to prioritize cases.

  • Pune-based Froncort.AI has received $2.3 million from Google.org to scale its AI-powered disease-screening platform in India, along with $200,000 in Google Cloud credits and pro bono technical support.

  • Froncort.AI was one of 15 organisations worldwide selected for Google.org’s Impact Challenge: AI for Government Innovation, building on Google.org’s earlier support for an AI-NETRA validation study.

  • The platform combines government health-programme data with Google Earth AI satellite and environmental insights, including rainfall and flooding, as well as local indicators such as settlement density and land use, to pinpoint risk at 300-metre resolution and generate ranked routes and household clusters.

  • Government health data will be stored and processed in India, while Google’s models provide satellite and environmental insights.

  • In a Pune pilot, AI-guided teams screened 66,095 people and identified 10 confirmed pulmonary TB cases, compared with nine cases among 177,322 people screened using standard methods; Froncort.AI reported that the approach reduced screening from 19,702 to 6,610 people per confirmed case and cut the cost per case from about $29,000 to $10,000.

  • The company also said 92% of participating frontline workers reported a lower workload in the validation study with Maharashtra’s state TB programme.

  • Froncort.AI plans to expand the platform beyond tuberculosis to leprosy, malaria, dengue, cholera and leptospirosis, with deployment planned in up to eight high-burden districts across three Indian states and an estimated reach of two to three million people.

  • Independent monitoring will track whether the programme finds at least 20% more cases, cuts screening by more than half per detected case, speeds sample transport, lowers government costs per case and increases performance-based earnings for frontline workers.

  • Froncort.AI plans to release mAI-NETRA as an open-source blueprint that governments can adapt for their own public-health programmes.

  • Froncort.AI also operates RegDoc, a regulatory technology platform that prepares compliant submissions for clinical research organisations, pharmaceutical companies and medical device manufacturers.

Summary based on 3 sources


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