Flo Health fine-tunes open models with Databricks AI Runtime for safer health answers

Flo Health built fine-tuned open models using AI judges, privacy-first synthetic data, and Databricks AI Runtime on serverless NVIDIA H100 GPUs.

The team estimates tailored fine-tuned models can cut inference costs by an order of magnitude compared with frontier model APIs.

Flo's pipeline uses 26 judges across medical-safety and usefulness criteria, and it generated more than 15,000 synthetic questions to train models without human-annotated responses.