Privacy as a foundation, not an afterthought

We started Acuratio because the most valuable datasets in healthcare, finance, and industry are also the hardest to combine: regulation, contracts, and basic trust keep them apart. Federated learning and secure multi-party computation make it possible to train models and compute aggregate statistics across those datasets without anyone having to copy or expose raw records.

We turn those primitives — Federated Averaging, Split Learning, Private Join & Compute, secure aggregation, differential privacy — into a platform that data teams can actually use in production, on the cloud or on-prem, with a few lines of code.