Creating Privacy Preserving AI with Substra

Substra is an open-source federated learning framework that trains ML models across siloed datasets without raw data leaving each node. Orchestration runs through a permissioned network — only model weights cross org boundaries, not patient records or transaction logs.

For fine-tuning or RAG grounding on regulated healthcare or financial data, this removes the legal blocker that kills most AI projects at intake. Most teams default to anonymizing data before centralizing it — that destroys signal and is not a substitute for privacy-preserving training. Substra adds infra overhead, but the alternative is a compliance audit you can't win.