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.

Bitfount - Federated Analytics and Machine Learning Platform

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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How does it work?

The Platform

Bitfount is built on the paradigm of federated data science. Algorithms are sent to data, where it lives, rather than the other way around.

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Datasets are safely deployed within Processors of Data (Pods).

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No raw data is transferred or accessed.

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Data providers choose how data scientists execute analytics and ML, without compromising data privacy or utility.

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Data scientists get what they need. No more, no less.

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How do we make it happen?

Platform Architecture

Bitfount's messaging approach to architecture means you can have zero trust, without compromising data utility.

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How We Deploy

Installing Bitfount is seamless. We work with your existing stack to get you up and running, fast.

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Data Privacy, Your Way

Configurable access controls enable you to tailor privacy-preserving enforcement to your collaboration needs.

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Bitfount - Federated Analytics and Machine Learning Platform

The Flexibility

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

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Plays nicely with your existing tools.

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Supports everything from Federated Learning to private SQL.

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Support for tabular and image data.

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Secure Multi-Party Computation & Differential Privacy, out-of-the-box

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Coming soon: Homomorphic encryption and more

Want to learn more? Book a demo →