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.
Bitfount is a platform for Distributed Data Science. Set up a privacy-preserving analytics and machine learning network in minutes, allowing your team to focus on insights and innovation instead of bureaucracy.
Your data team has the skills to solve your biggest challenges and innovate — but they are held back by data access hurdles. Complex data pipeline infrastructure messing with your plans? Compliance processes taking too long?
Bitfount has a better way.
Connect siloed datasets while preserving privacy and respecting commercial sensitivity.
Apply usage-based access controls to ensure your team only performs the analysis you want, on the data you want.
Apply AI/ML to your hardest problems, while mitigating security or privacy risk.
No expensive, time-consuming data lift-and-shift.
Full compatibility with your existing tech stack and IT firewalls. No cloud migration needed.
Learn how it works →
Never worry about your ROI on data again. Free your data partnerships teams from tedious negotiations about data samples. Find valuable new datasets and evaluate their predictive power without any data changing hands.
Streamline decision-making with instant, privacy-preserving dataset evaluation.
No centralised and vulnerable datastore.
Commercialise or access datasets while maintaining granular, time-bound control of data and models.
Unlocking the value of data that can't be shared in raw form
Learn how Bitfount supports data partnerships →
We make it easy for you to get up and running, whatever your level of technical expertise. Don’t let data sensitivity get in the way of insights and innovation.
Out-of-the-box support for federated learning, differential privacy and other advanced privacy-preserving techniques.
Support for tabular and image data.
Use the Bitfount SDK to train your models across all your customers’ data, both on-prem and in the cloud.
Learn about Bitfount for data science & analytics teams →
No more watered-down consortia limited by data sharing restrictions and technical barriers. Make full use of your collective data resources to enable deeper, more reliable insights.
Industry or academic partnerships which work for all participants.
No centralised and vulnerable datastore.
Flexibly enforce contractual privacy and usage agreements.
SaaS platform and easy-to-use developer tools.
Bitfount handles all fully-encrypted orchestration.
Learn about Bitfount data consortia →
All of the things you need (and then some).
Turnkey setup. Get up and running in minutes not days.
Simple Python API (also available as Docker image).
SaaS platform for data access controls, account administration, and more.
Zero-trust? No problem - Fully-encrypted orchestration managed by the party you choose.
Comprehensive user-friendly documentation.
Learn more about Bitfount for Product Developers →
Out-of-the-box support for federated learning, differential privacy and other advanced privacy-preserving techniques.
Streamline decision-making with instant, privacy-preserving dataset evaluation. No more slow partial data samples.
Our managed service and simple Python interface let you easily integrate federated analyses and training into your existing code.
Train your ML models across all your customers’ data, both on-prem and in the cloud.