Find the right patients where their data already lives

Sponsors get faster feasibility, site selection and recruitment. Clinics get eligible patients surfaced from the imaging and EHR data they already hold. Model developers get their models deployed safely across the network.

Your partner for every stage of the clinical research lifecycle

Analyse imaging, EHR and any other data behind the firewall for faster, more efficient, more accurate clinical trials and research. Federated AI enables algorithms to run wherever data lives.

Data transfer

Scalable, secure, easy health data exchange

Automatically retrieve and standardise imaging and EHR data directly from source, with full traceability and regulatory compliance at every step.

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AI development & evaluation

Cross-silo federated learning. AI development & evaluation without data sharing

Train, fine-tune, validate and deploy any kind of AI model safely and at scale on distributed datasets with federated learning.

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Get proactive about patient identification for clinical trials

Install and set up in minutes

Install the no-code Bitfount desktop app or our open source Python SDK, or install via the AWS marketplace. On-premise or in your cloud environment. Docker images available.

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Before patient visits the clinic

All scheduled patients are analysed against every active trial's eligibility criteria using imaging and EHR data on your own infrastructure. The coordinator starts the day with a ranked list in clinic order: review, confirm, dismiss.

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In the appointment room

When a flagged patient is in the chair, the doctor sees which trials they match and why in seconds, including same-day imaging. The trial conversation happens while the patient is still in the room.

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Built for secure AI collaboration.
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