Bitfount
Bitfount is a full-stack federated AI and data science platform that lets organisations train, fine-tune, evaluate, and run inference on sensitive data without moving it. Instead of centralising data, Bitfount "sends the AI model to the data" — datasets stay behind the owner's firewall on their own infrastructure at all times, protected by built-in privacy-enhancing technologies (differential privacy, private set intersection). Developers work through the open-source Bitfount Python SDK (typed wrappers around the Bitfount REST API on hub.bitfount.com), a no-code desktop app, or a Docker pod image. Typical use cases include federated learning, federated evaluation, clinical trials, biomedical research, trusted research environments, and cross-party data partnerships. Backed by speedinvest.
Bitfount publishes 1 API on the APIs.io network. Tagged areas include Company, Federated Learning, Machine Learning, Data Science, and Privacy.
Bitfount’s developer surface includes documentation, API reference, getting-started guide, engineering blog, signup flow, authentication, changelog, and 13 more developer resources.
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APIs
Bitfount SDK & REST API
The Bitfount Python SDK wraps the Bitfount REST API (hub.bitfount.com) to connect data sources as pods, run federated tasks and algorithms, and manage models and datasets across...
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 2
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API