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Healthcare AI startup Froncort.AI raises $2.3 Mn from Google.org for disease surveillance

Healthcare AI startup Froncort.AI has secured $2.3 Mn (₹21.5 Cr) in fresh capital from Google.org, Google's philanthropic arm.

Nabarun Chakraborty
Nov 10, 2026·2 min read
Healthcare AI startup Froncort.AI raises $2.3 Mn from Google.org for disease surveillance
Raised
$2.3M
Status
Announced

Healthcare AI startup Froncort.AI has secured $2.3 Mn (₹21.5 Cr) in fresh capital from Google.org, Google’s philanthropic arm. The support also includes $200K in Google Cloud credits and pro bono technical expertise from Google’s AI specialists.

The startup is among 15 organisations selected globally for Google.org’s Impact Challenge: AI for Government Innovation.

Froncort.AI was founded in 2024 by physician-scientist Dr Ujjwal Rao. Its public health platform, AI-NETRA, combines government health programme data with Google’s Earth AI models and local risk indicators such as settlement density, land use, rainfall and flooding.

From that, it identifies higher-risk areas for infectious diseases and turns them into ranked work paths. These map household clusters and build routes for frontline health workers to follow during field visits.

The startup also runs RegDoc, a regulatory technology platform that prepares compliant submissions for clinical research organisations, pharmaceutical companies and medical device manufacturers.

The new money will fund mAI-NETRA, a mobile version of AI-NETRA. Froncort.AI also plans to extend the platform’s capabilities across six infectious diseases: TB, leprosy, malaria, dengue, cholera and leptospirosis.

It intends to release mAI-NETRA as an open-source blueprint, so governments can adopt and adapt the technology for their own public health programmes.

The problem it targets is where scarce screening effort goes. In a validation study with Maharashtra’s state TB programme, Froncort.AI claims that teams using AI-NETRA identified a similar number of confirmed pulmonary TB cases while screening two-thirds fewer people than conventional methods.

The company says cost per confirmed case fell from around $29K to $10K, and 92% of participating frontline workers reported a lower workload. These results are the company’s own claims.

The round lands as governments fold AI into public health delivery. India’s government said in February that it is integrating AI into a unified public health strategy, including tools within the National TB Elimination Programme.

AI is also drawing a growing share of investor capital while wider startup funding stays under pressure. Inc42’s Indian Tech Startup Funding Report Q3 2026 shows AI funding in India grew 235% year on year, with deals rising 35% to 35 from 26 in Q3 2025.

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