Federated data science sends AI and other algorithms to data, instead of the other way around. Data stays behind its custodian's firewall at all times.
From accelerating clinical trials to fighting financial crime. Set up a federated AI and analytics network, customise with additional privacy-enhancing technologies (PETs) out of the box, and let your team focus on insights and innovation instead of bureaucracy.
Connect a dataset to the Bitfount network in minutes, join a project, run tasks yourself or grant usage permissions to your collaborators. No code or data sharing required.
Set up a collaborative project using either 3rd-party AI models and algorithms or your own. Invite data custodians and start generating insights immediately and safely.
Upload your custom models to be used in others' projects or your own. Project-by-project access controls ensure your model is only used where you want it to be.
The vast majority of data goes unused, usually because it can't be shared externally. Now there's a better way.
Break the chicken-and-egg stalemate of data partnerships by precisely understanding ROI without months of up-front negotiation and contracting.
For successful consortia, make sure data teams aren't held back by barriers to data access and that data custodians can safely benefit from the resulting innovation.
Whether breaking down internal data silos for cross-jurisdictional collaboration, or monetising commercially sensitive data via a marketplace, let your data safely tell its story.
Get up and running fast. Comply with internal InfoSec, IT and privacy governance controls and integrate with the tools and data formats you already use.
The power of Bitfount in a desktop application. No coding knowledge required.
Integrate federated data science into your workflows. Open source and extensible.
Manage and monitor your federated projects from the cloud. The Hub is the central nervous system of your network.
Combining the best of open source, SaaS, on-prem and cloud in a single, scalable platform.
Find more patients, in less time, with fewer screen fails using federated data science and AI. From feasibility studies, to site selection to patient pre-screening.
Streamline multiple steps of the R&D lifecycle with federated data science, and reduce the time new treatments take to reach patients.
Test and roll out data partnerships protected by privacy-enhancing technologies (PETs) and with no data transfer required.
Manage access and operational controls across teams without limiting your employees' potential.
Research collaborations made easy with an AI and analytics platform adhering to the Five Safes.
Build your own privacy-preserving data platform powered by Bitfount, or federate your AI across customers' data silos. All while keeping your data and IP safe.
We are thrilled to announce that Bitfount has been honoured with the CogX 2023 Award for Best Innovation in Pharma!
How does Bitfount approach distributed data science with a novel architecture? Learn more in this article.
PETs like federated data science can safely unlock the enormous value of healthcare data for the benefit of patients.
Funding awarded to address one of the most broken parts of global healthcare R&D: Clinical Trials.
The value of a dataset is determined by how it is actually used
An explanation of how federated learning and zero-trust are compatible concepts.