Healthcare AI startup Froncort.AI has secured $2.3 Mn (₹21.5 Cr) in fresh capital from Google’s philanthropic arm, Google.org, to scale its AI-powered disease surveillance and detection platform.
The support also includes $200K in Google Cloud credits and pro bono technical expertise from Google’s AI specialists.
The funding will help Froncort.AI develop mAI-NETRA, a mobile version of its public health platform AI-NETRA, which uses AI, satellite imagery and government health data to identify higher risk areas for catching infectious diseases. It also guides frontline health workers towards targeted screenings.
The startup is among 15 organisations selected globally for Google.org’s Impact Challenge: AI for Government Innovation.
Founded in 2024 by physician-scientist Dr Ujjwal Rao, Froncort.AI aims to improve early disease detection by helping frontline health workers enhance their vigil over disease prone areas.
In a validation study conducted with Maharashtra’s state TB programme,Froncort.AI claims that teams using its AI-NETRA identified a similar number of confirmed pulmonary TB cases while screening two-thirds fewer people than conventional methods.
The cost per confirmed case also declined from around $29K to $10K, while 92% of participating frontline workers reported a lower workload.
The platform combines government health programme data with Google’s Earth AI models and local risk indicators, including settlement density, land use, rainfall and flooding, to identify high-risk geographical clusters.
It then converts these insights into ranked work paths, mapping household clusters and builds routes for health workers to follow during field visits.
AI bids to enhance its platform to extend its capabilities across 6 infectious diseases — TB, Leprosy, Malaria, Dengue, Cholera and Leptospirosis.
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