EntityRisk's software enables healthcare innovators and payers to measure and manage uncertainty. 

EntityRisk was founded by three health economists— bringing together decades of academic and industry experience-- to unlock financial innovation in the way new medicines are brought to patients.  EntityRisk is building a proprietary algorithmic library to better estimate individual benefits of treatment—through advanced modeling techniques and integrated clinical trial, genomic, and real-world data. Our growing, world-class team of economists, data scientists, software engineers, finance professionals and cutting-edge academic experts is building the tools needed to enable financial innovation in healthcare, some of which include:

-Analysis of all current and potential surrogate measures and their connections to critical endpoints of value to patients and payers
-Customized individual and subpopulation-level survival and treatment duration curves 
-Scenario planning for pipeline and inline assets 
-Proprietary event and cash flow forecasting and analytics for efficacy-linked instruments 
-Value modeling 
All of our models are specifically designed to identify risk characteristics and correlations across therapeutic interventions, enabling new value-based payment and performance guarantees.

Health Care

Life Sciences

Therapeutics

EntityRisk

Neal Masia

Manish Singh

The Data Science Team at EntityRisk employs advanced modeling techniques to analyze clinical trial, genomic, and real-world data. They develop and maintain the proprietary algorithmic library, estimate individual benefits of treatments, and create customized survival and treatment duration curves. Their work underpins scenario planning, efficacy-linked forecasting, and value modeling, enabling innovative financial solutions in healthcare.

Data Science Team

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Team members