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.
A federated privacy-preserving ecosystem for AI and data collaboration. Discover and evaluate third-party datasets, run data consortia, license and train advanced AI models, and much more.
Raw data is never shared. Analysis comes to the data, not the other way round. Harness multiple federated datasets .
Streamline decision-making with instant, privacy-preserving dataset evaluation. No more slow partial data samples.
Simple, powerful Python interface lets you integrate federated analyses and model training into your existing code.
Train your ML models across all your customers’ data, both on-prem and in the cloud.
The current need to centralise data for machine learning and analysis stifles innovation and favours monopolies. The Bitfount platform is designed for large-scale and secure federated machine-learning and analytics.
No centralised and vulnerable datastore
Marketplace connecting data owners, data scientists and problem-owners
Unlocking the value of data that can't be shared in raw form
Data's value is inseparable from the way it's processed. Bitfount Pods (Processing on Data)™ give data owners control over both which data and which algorithms any given collaboration partner can use.
Outsights: Insights from out-of-sight data
Maintain granular, time-bound control of your data
Includes support for your custom ML models
We've worked hard to make it easy to get up and running without compromising on security.
SaaS platform and easy-to-use developer tools
SSO as standard
Bitfount handles all fully-encrypted orchestration
