Case Study: Flo Health achieves scalable data-driven innovation with Databricks

A Databricks Case Study

Preview of the Flo Health Case Study

Flo Health harnesses the power of body signals to improve women’s health

Flo Health, the leading health app for women, needed a stronger data platform to support rapid growth, privacy requirements, and ongoing product innovation across its app. With Databricks and the Databricks Data Intelligence Platform, Flo Health set out to centralize data and improve how it powers analytics, machine learning, and experimentation.

Databricks helped Flo Health build a unified data architecture with Delta Lake, Unity Catalog, MLflow, Databricks SQL, and Mosaic AI, enabling secure governance and faster model development. The result: Flo Health can run 150–200 experiments at once and 400 per quarter, while 46% of employees now use Databricks monthly for data-driven decisions, boosting scalability, productivity, and personalized health experiences.


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Flo Health

Roman Bugaev

Chief Technology Officer


Databricks

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