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 nexus
For organisations to discover, contribute and tap into valuable datasets and external Data Science/ML/AI expertise.
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A federated data and machine learning marketplace with privacy and the rights of data owners at its core.
Identify the features with the most predictive power across multiple federated silos - without joining raw datasets to each other.
Multiply the size of your training data by tapping into third-party datasets without compromising on privacy.
Use Bitfount to securely collaborate with external data science teams whenever you need some ML/AI support.
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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