Case Study: Personify Health achieves 82% faster AI model development with DataRobot

Personify Health reduces AI model development time by 82% for personalized healthcare

Personify Health, the personalized health platform serving 19 million members and more than 6,000 employers, faced fragmented toolsets and siloed development processes after rapid growth and acquisitions, which limited data scientist productivity and the value of its large datasets. To accelerate time to value without sacrificing accuracy and to link disparate data sources and CI/CD pipelines, Personify Health chose DataRobot and its suite (AI Foundation, Predictive AI, Generative AI, AI Governance, AI Observability).

DataRobot unified engineers, data scientists, and analysts in a single, environment-agnostic platform with governance and observability, enabling parallel training and deployment across the company’s cloud-native stack. The result: model delivery time dropped from three weeks to 21 hours (an 82% reduction), most models now exceed 80% accuracy, compute capacity increased 8–10x, and Personify Health gained a single source of truth for model performance, transparency, and compliance.

Personify Health

Amit Jain

Chief Technology Officer