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 SDK
For companies who want to train their ML models on data that has to stay on their customers' premises or clouds.
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Easily incorporate your customers' on-prem data into your ML models for maximum performance.
Simple, powerful Python interface lets you integrate federated analyses and model training into your product.
Turn 'the unreasonable
effectiveness of data' to your advantage by training the models powering your product on larger datasets.
Tap into your customers' unique datasets to set your model apart from others trained on generic- or cloud-only datasets.
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.
Simple Python API (also available as Docker image)
Securely connect and access data in minutes
Bitfount handles all fully-encrypted orchestration. Zero trust needed.
Turnkey setup and integrations. Plays nice with your existing tools.
Full compatibility with on-premise data. No cloud migration needed.
Includes support for custom machine-learning models
Comprehensive user-friendly documentation
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