The backbone
for federated AI and
data collaboration

A federated privacy-preserving platform for solving data collaboration challenges. From discovering and evaluating third-party datasets to running data consortia, training advanced AI models, and much more.

Easy to try. No risk. Just results.

Fast, easy and seamless

Other federated frameworks are cumbersome and complicated. Bitfount handles all the complexity so you can focus on getting things done.

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Simple Python API (also available as Docker image)

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SaaS platform for data discovery, access control, account administration and more.

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Single Sign-On (SSO) as standard

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Bitfount handles all fully-encrypted orchestration. Zero trust needed.

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Comprehensive user-friendly documentation

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Powerful and flexible

We've worked hard to make it easy to get up and running without compromising on functionality and security.

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Turnkey setup and integrations. Plays nice with your existing tools.

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From Federated Learning to SQL

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Support for tabular and image data. Text and audio coming soon

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Secure Multi-Party Computation out of the box

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Coming soon: Differential privacy, homomorphic encryption and more

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Pods = Data + Algorithms

The value of data is inseparable from the way it's processed. Bitfount Pods (Processing on Data)™ give data owners control over both which data and which algorithms any given collaboration partner can use.

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Securely connect and access data in minutes

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Link siloed datasets while preserving privacy

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Full compatibility with on-premise data. No cloud migration needed.

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Maintain granular, role-based, time-bound control of your data

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Control your Pods' visibility: from publicly discoverable to fully private.

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Includes support for custom machine-learning models

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The future is federated

The current need to centralise data for machine learning and analysis stifles innovation, reinforces monopolies and puts sensitive data at risk. The Bitfount platform is designed for large-scale and secure dataset evaluation, federated machine-learning and analytics.

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Unlocking the value of data that can't be shared in raw form

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No centralised and vulnerable datastore

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Enables data owners to monetise their datasets

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Promotes data interoperability

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