Model developers

Deploy your models at scale for clinical research

From patient recruitment to protocol design and post-market surveillance, unlock new revenue streams with Bitfount safely handling on-premise model distribution.

Use cases

Patient pre-screening

Al/ML model development

Build smarter models on distributed data

Access and learn from diverse, real-world datasets securely using Bitfount’s federated framework. No need to centralize or transfer sensitive data.

Patient pre-screening

Model fine-tuning

Adapt existing models to new datasets, privately

Fine-tune pre-trained models on partner or customer data in place, enabling continuous improvement while protecting all data from exposure.

Patient pre-screening

Model validation

Prove model performance across unseen data

Evaluate your model on external datasets without accessing them directly, ensuring robustness, fairness, and compliance through federated validation.

Patient pre-screening

Deployment and monetisation

Commercialise your models by deploying them where data resides

Securely deploy and run your trained models at partner sites via Bitfount’s federated compute platform, enabling privacy-first monetisation and scalable impact.

Bitfount platform

Easy IT integration

Install in seconds via desktop app (available for Windows and Mac) or Python SDK

No-code workflow

Intuitive workflow for use by anyone from physicians to research teams to data scientists

Powerful data governance & IP protection

Built-in governance features ensure you’re always in control of how your data is used and by whom

Deep imaging capabilities

Efficiently analyse 2D or 3D medical images. No de-identification or pseudonymisation required

Integrate your EMR

Connect your Electronic Medical Record (EMR) system for deeper cross-silo analysis

Model agnostic

Use commercial, academic or open-source models. No vendor lock-in

Download

Supported image formats

Supported EHR systems

Supported model frameworks

Certifiably secure

Frequently asked questions

Can Bitfount access my data?

No, Bitfount’s zero-trust architecture ensures Bitfount never receives data or analysis results. Analysis results are transferred between data custodians and data scientists end-to-end encrypted using encryption keys held by each party and not accessible to Bitfount. Read more here.

What will my Information Governance team think of this?

Information Governance and Legal teams love Bitfount since it removes the need for complex Data Sharing Agreements (DSA) and Material Transfer Agreements (MTA), and massively simplifies Data Protection Impact Assessments (DPIA). Bitfount is also fully GDPR, HIPAA and ISO27001 compliant. Visit our online Trust Centre here.

Do I need to be able to code?

No. Our desktop application has been designed to be operated without requiring any coding knowledge. This includes connecting datasets, joining projects, running tasks and accessing analysis results. Data scientists and algorithm developers can choose to interact with Bitfount via our python SDK.

Are there any hardware requirements?

There aren’t any specific requirements, however AI analysis at scale can be compute-intensive and will run more efficiently, especially for image analysis, if you have access to a machine (physical or virtual) with a GPU. Suitable devices include any Apple silicon model, or a Windows or Linux machine with an Nvidia GPU. Not sure if you have the right setup? Reach out to us at support@bitfount.com for guidance.

Any more questions?

Contact our team for tailored guidance or more details about your use case.

Still have questions?

Our team are here to help

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