Latent

Latent Health is a clinical artificial intelligence company that automates administrative workflows to accelerate patient access to medication. The company was founded in November 2022 by childhood friends Sriram Somasundaram and Rishabh Jain, who serve as co-CEOs. Prior to Latent, Jain sold a bootstrapped company for an eight-figure sum, and Somasundaram researched molecular binding patterns and built deep reinforcement learning robots at Stanford.

The company's core product is a 'Clinical Reasoning Engine' that integrates with electronic health records (EHRs), payer guidelines, and pharmacy operations. This AI-powered platform analyzes unstructured clinical data, such as doctor's notes and lab results, to find evidence required for payer approvals and to answer complex questions about a patient's medical history. The primary use case is automating the prior authorization process, a significant bottleneck in healthcare that often delays or denies patients access to necessary treatments. The system can compile and submit requests after human review and even call insurers to check on the status of a request, reducing the manual workload on clinicians and administrative staff. By streamlining prior authorizations, benefits checks, appeals, and 340B compliance, Latent aims to shorten the time from a doctor's decision to a patient receiving therapy.

Latent Health operates on a B2B model, serving health systems, including large academic medical centers, specialty pharmacies, and infusion pharmacies. Its clients include more than 45 health systems, such as Yale New Haven Health, UCSF Health, Mount Sinai Health System, and Vanderbilt Health. The company has reported that its platform has helped reduce medication denials by over 30% and enabled clinicians to treat twice as many patients. As of March 2026, Latent Health announced it had raised $80 million in a Series A funding round co-led by Spark Capital and Transformation Capital, bringing its total funding to over $93 million. This financing is intended to expand its health system footprint and further develop the platform.

Keywords: Clinical AI, medication access, prior authorization automation, Clinical Reasoning Engine, healthcare workflow automation, pharmacy operations, electronic health records, payer guidelines, specialty drugs, infusion therapy, 340B compliance, Rishabh Jain, Sriram Somasundaram, health systems, administrative burden reduction, treatment access, clinical documentation, medical language models, patient data analysis, healthcare B2B