Data partnerships
Activate first-party data without the data sharing headache
Build data partnerships securely with cohort matching, lookalike discovery, and aggregated metrics, all without any partner’s PII or commercially sensitive data leaving their firewall.
Use cases
Research consortia
Unite research networks without sharing data
Empower multi-institutional collaborations to analyze and share insights securely using federated analytics—ensuring every partner retains full data control.
Cross-sector partnerships
Collaborate across industries, safely and efficiently
Enable secure data exchange and analysis between healthcare, life sciences, and technology partners with built-in privacy protection and auditability.
Internal data collaboration
Break down silos, without breaking compliance
Connect internal datasets across departments or subsidiaries to unlock insights through federated compute while maintaining strict governance boundaries.
AI/ML model development
Build powerful models from distributed data
Develop and refine AI models across multiple data sources using federated learning, preserving privacy while maximizing performance and representativeness.
Dataset evaluation
Understand dataset value before sharing access
Run secure exploratory analyses on external or internal datasets to assess utility and quality. No exposure of raw or sensitive data required.
Model evaluation
Validate models securely across collaborators
Test model performance across diverse partner datasets without transferring or centralizing data, ensuring robust and compliant validation.
Model training
Train models where the data lives
Leverage federated training to learn from distributed datasets, ensuring sensitive data never leaves its source while achieving state-of-the-art accuracy.
Explore data partnership case studies
A federated network of Trusted Research Environments to enable safe analytics
Bridging AI, data & governance: The FAIR TREATMENT project on adolescent mental health
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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