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.
Product: bitfount alliance
For internal use by large enterprises, corporate groups and industry consortia. Partnerships wanting to get more from their data than the sum of its parts use Bitfount for shared analytics, data science and AI model development without needing to disclose any raw data.
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Within- or across industries, use Bitfount to connect disparate datasets to solve shared problems.
No raw data is shared by default between participants. Bitfount's federated learning and analytics algorithms provide full flexibility.
Gather insights from data across jurisdictions while maintaining out-of-the-box compliance with local privacy- and data protection laws.
We take security seriously and don't believe single sign-on should be an enterprise-only feature. That's why Bitfount comes with SSO out of the box.
Other federated frameworks are cumbersome and complicated. Bitfount handles all the complexity so you can focus on getting things done, whatever your level of technical expertise.
Securely connect and access data in minutes
Link siloed datasets while preserving privacy
Turnkey setup and integrations. Plays nice with your existing tools.
Full compatibility with on-premise data. No cloud migration needed.
Maintain granular, role-based, time-bound control of your data
Control your Pods' visibility: from publicly discoverable to fully private.
Includes support for custom machine-learning models
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