Work together, apart.

Bitfount's distributed data science platform makes it possible to build a remote data network, complete with governance and access controls, without centralising member data or tech stacks.

Bitfount - Federated Analytics and Machine Learning Platform

Use Cases for Data Consortia

Sector-Led Data Collaboration

Pool data to drive better outcomes, while mitigating security and competitive risk.


Compute benchmarks and ensure that no individual data point is shared.

Open Data Initiatives

Develop open-sourced research networks without putting citizen data at risk.

Key Features for Data Consortia

Built-in privacy preservation

No need for a PhD in cryptography. Remove risk barriers to opening up sensitive data. Read more about privacy technologies here.

Audit and monitoring

Bitfount provides clear usage metrics of how consortia members use your data.

Simple IT integration

Bitfount's communication model requires that data custodians and scientists have only outgoing internet connections. This dramatically simplifies IT integration. Read more in our blog.

Usage-based access controls

Members can only do what's been agreed. Technically enforce governance and usage rules. Read more on our blog.

Zero-trust security model

Bitfount follows the latest in network security best practices. Read more on our blog.

End-to-end encryption

Bitfount itself never receives data or statistics. All data is transferred between data custodians and scientists with end-to-end encryption.