Elythea

Elythea provides a machine learning platform that integrates with Electronic Health Records (EHR) to predict and prevent life-threatening maternal complications. Founded in 2022 by Reetam Ganguli and Rishik Lad and headquartered in San Jose, CA, the company aims to address preventable maternal mortality by identifying high-risk patients from their first prenatal visit. The platform analyzes demographic and clinical data to flag patients at risk for conditions like postpartum hemorrhage, preeclampsia, and emergency C-sections, allowing clinicians to intervene months earlier than standard assessments.

The founders, Reetam Ganguli (CEO) and Rishik Lad (CTO), began collaborating in middle school. Ganguli was a medical student at Brown University on track to become a high-risk obstetrician before leaving to establish Elythea. His decision was prompted by interviews with over 80 obstetric providers who highlighted postpartum hemorrhage and hypertensive complications as major concerns. Lad has a background in computer science from Dartmouth, with published papers in healthcare AI. Ganguli's personal inspiration stemmed from a family member's experience with a hemorrhage complication. Prior to Elythea, he founded a global medical education nonprofit and a platform to assist survivors of sexual assault and domestic violence.

Elythea operates on a B2B model, partnering with hospital systems, Medicaid systems, and managed care organizations. Its platform includes a mobile component and voice AI technology to engage members, conduct risk assessments, and connect them with clinical and social resources. The company has demonstrated in clinical trials across the US, Nigeria, Cameroon, Uganda, and Ghana that its models can detect 2-3 times more complications than clinical judgment and 10 times sooner. The company participated in the Y Combinator S23 batch and has secured $500K in a seed funding round led by the accelerator.

Keywords: maternal health, obstetrics, predictive analytics, machine learning, EHR integration, high-risk pregnancy, postpartum hemorrhage, preeclampsia, clinical decision support, preventive care, femtech, healthtech, AI in healthcare, maternal mortality, risk assessment, digital health, patient monitoring, Y Combinator, Reetam Ganguli, Rishik Lad