tgoop.com/startupsi/1869
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Apheris, a startup focused on addressing data access challenges in life sciences, is leveraging federated computing to enable secure AI model training without transferring sensitive health data. Founded by Robin Röhm, Apheris has secured $8.25 million in Series A funding, bringing its total funding to $20.8 million. The company's approach allows computations to occur locally where the data resides, enhancing privacy and compliance.
Apheris has pivoted from a federated learning framework to focus on serving data owners in the pharmaceutical sector, achieving significant revenue growth. Its software, the Apheris Compute Gateway, is already utilized by the AI Structural Biology Consortium, which includes major pharmaceutical companies. The startup aims to unlock valuable data while addressing data owners' privacy concerns, which is crucial for the broader impact of AI in the field.
