Make your intractable data interactable

Bitfount is a Distributed Data Science platform. Set up a federated privacy-preserving analytics and machine learning network in minutes, and let your team focus on insights and innovation instead of bureaucracy.

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Bitfount - Federated Analytics and Machine Learning Platform

What is Distributed Data Science?

Distributed data science sends algorithms to data, instead of the other way around.

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Find out how it works here →

Why Distributed Data Science?

Remove internal data access hurdles

Your data team has the skills to solve your biggest challenges and innovate — but they are held back by barriers to data access.

Complex data pipeline infrastructure messing with your plans? Compliance processes taking too long? Bitfount has a better way to unleash your data experts.

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Connect siloed and multi-cloud datasets while preserving privacy and respecting commercial sensitivity.
No expensive, time-consuming data lift-and-shift.
Usage-based access controls to ensure teams only perform the analysis you want, on the data you want.
Transfer management of access controls to the teams who control the data.

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Learn how Bitfount supports internal data teams →

Evaluate and streamline data partnerships

Never worry about your ROI on data again. Free your data partnerships teams from months-long negotiations for data samples. Evaluate predictive power without any data changing hands.

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Streamline decision-making with instant, privacy-preserving dataset evaluation.
Keep control by selling access to data instead of data itself
No centralised and vulnerable datastore.
Commercialise or access datasets while maintaining granular, time-bound control of data and models.
Unlock the value of data that can't be shared in raw form.

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Learn how Bitfount supports data partnerships →

Get started - join the community or book a demo

Leverage customer and supplier data

We make it easy for you to get up and running with data, whatever your level of technical expertise. Don’t let data sensitivity get in the way of insights and innovation.

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Out-of-the-box support for federated learning, differential privacy, and other advanced privacy-preserving techniques.
Use Bitfount’s open python library inside your own products.
Unlock insights from the data your partners would never give you, but your innovation teams need.
Use the Bitfount SDK to train your models across all your customers’ data, both on-premise and in the cloud.

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Learn about Bitfount for product development →

Super charge your data consortium

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.

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Out-of-the-box support for federated learning, differential privacy, and other advanced privacy-preserving techniques.
Usage based access-controls to align the way that data is used within agreed projects.
Flexibly enforce contractual privacy and usage agreements.
No centralised and vulnerable datastore.

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Learn about Bitfount data consortia → or Bitfount for TREs →

Best-in-class developer experience

All of the things you need (and then some).

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Turnkey setup. Get up and running in minutes not days.
Simple Python API (also available as Docker image).
Support for both machine learning and analytics use cases.
Extensible architecture for user-defined data sources and models.
Comprehensive user-friendly documentation.

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Learn more about Bitfount for Product Developers → and for Data Science and Analytics teams →

Keep control of your data

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SaaS platform for data access controls, account administration, and more.
Keep InfoSec teams happy with OAuth and SAML authentication, and no incoming internet connections required.
Security by design with ISO27001 certification.
End-to-end encryption so that Bitfount never sees your data or insights
Out-of-the-box support for federated learning, differential privacy, and other advanced privacy-preserving techniques.‍

Learn more about Bitfount for Privacy, Compliance and Information Security and Data Partnerships teams.

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