Researchers

Accelerate discovery through secure data collaboration

Analyse, share, and innovate across institutions with Bitfount’s federated data and AI platform, advancing discovery without compromising privacy or governance.

Use cases

A single enterprise-grade platform for everything from pre-screening to post-market surveillance. AI that works wherever data lives.

AI development & evaluation

Accelerate discovery through privacy-preserving AI

Train and deploy AI models directly on distributed research datasets using federated learning. Unlock insights without compromising on privacy and governance.

Build collaborative consortia

Advance science through secure collaboration

Form multi-institution research consortia to answer shared questions across protected datasets, all without moving or exposing raw data.

Federate between TREs

Connect Trusted Research Environments securely

Link multiple TREs using Bitfount’s federated compute layer, enabling cross-environment analysis and model training while preserving each TRE’s governance controls.

Some of the AI-enabled sites using Bitfount

Stadtspital Zürich

Queen’s University Belfast

Moorfields Eye Hospital

Bay Area Retina Associates

RCMG

Berner Augenklinik

RVAF

Retina Macula Institute

University of Utah

The Retina Clinic London

Universität Regensburg

Erie Retina Research

Ganglion Orvosi Központ

Cascade Medical Research Inst.

Verum Research LLC

Built for secure AI collaboration.
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