The distributed data science network.

The underlying idea

Bitfount is built on the paradigm of distributed 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).
• Data providers choose disclosure controls defining what analyses data scientists can run.
• Data scientists’ models or queries are sent over the network for processing and checked against the data providers' rules.
• Data scientists get what they need. No more, no less.

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Want to understand the communication architecture more? Read our blog article on why we chose a messaging architecture instead of a more standard client-server approach.

How we deploy

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

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• Get going in minutes with our python library or docker image.
• Maintain zero-trust security with OAuth and SAML authentication.
• Deploy within your own infrastructure or on the cloud.

Read more about our zero-trust deployment approach on our blog →