Building a better future for female health
Flo HealthDatabricks · Agent Bricks · Databricks SQL +3
Flo Health moved to the Databricks Data + AI Platform to centralize data for its 75 million users, running 400 analytics experiments per quarter, powering AI health predictions and fine-tuning LLMs for a Health Assistant chatbot, with internal monthly active users on the platform up 45%.
Overview
Flo Health moved to the Databricks Data + AI Platform to centralize data for its 75 million users, running 400 analytics experiments per quarter, powering AI health predictions and fine-tuning LLMs for a Health Assistant chatbot, with internal monthly active users on the platform up 45%.
This entry has 13 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
As Flo Health experienced rapid growth, their previous data infrastructure faced significant hurdles; scalability issues emerged as data volumes surged, decentralized data systems and siloed teams hindered innovation, and business data users were limited to SQL queries, creating an over-reliance on the engineering team to build data pipelines.
The solution
Flo Health adopted a modern lakehouse architecture on the Databricks Data + AI Platform, using Delta Lake with a medallion architecture, Databricks SQL for analytics/BI, Unity Catalog for fine-grained access controls and compliance with women's health privacy regulations, MLflow for the ML lifecycle, and is piloting AI/BI Genie plus fine-tuning LLMs for a Health Assistant chatbot.
Reported business value
Flo Health's internal monthly active users jumped by 45% and weekly active users by 57%, the platform runs 400 analytics experiments per quarter, and 46% of employees actively engage with Databricks monthly.
Sources
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This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
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