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
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.
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.
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.
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
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.
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