Bitfount for Internal Data Collaboration

Unshackle your data experts.

Bitfount's granular controls and simple integration allow you to clear common compliance and security hurdles and grant your data science teams access to sensitive data. Realise return on data science investment, no risk required.

Bitfount - Federated Analytics and Machine Learning Platform

Use Cases for Internal Collaboration

Cross-jurisdiction and group companies

Mitigate cross-border transfer risk by leaving data in place.

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Multi-cloud

Analyses and ML can operate across cloud environments, without any data transfer needed.

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Data mesh

Federate the governance of data, leaving access controls to the teams that understand the data best.

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Key Features for Internal Collaboration

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 employees interact with 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

Ring-fence which teams have access to what for which purpose. Technically enforce governance 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 transmission is managed with end-to-end encryption.