Biomedical research

Creating the therapies of tomorrow requires safe data collaborations today

Dramatically reduce the time it takes to develop and validate new treatments using federated data science and AI.

Use cases

Biomarker validation

Validate the next generation of digital endpoints

Develop and evaluate the performance of digital biomarkers against real-world datasets which weren’t part of the training data.

Patient stratification

Make the promise of precision medicine a reality

Move away from one-size-fits-all patient selection and match patients to treatments based on their individual characteristics.

Internal data collaboration

Accelerate and de-risk the entire trial lifecycle

Tap into real-world data at its source in order to enable true evidence-based decision making and research breakthroughs.

Bitfount platform

No-code desktop application

Easy to install on Windows or Mac

Deep imaging capabilities

Analyse OCT, FAF, CF, SLO images and more

Integrate your EMR

Connect your EMR data for deeper analysis

Model agnostic

Use any model provider with Bitfount

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

Contact us

Simple to start. Fast to use. Built for secure collaboration.