academic research
Don't hold up your research breakthroughs due to complex data sharing agreements and transfers. Easily create federated research consortia with built-in governance controls.
use cases
Trusted research environments
Interdisciplinary, cross-border, cross-sector collaboration is critical to the next era of scientific breakthroughs. Bitfount’s federation layer unlocks compliant, seamless, scalable research consortia.
use cases
By acting as the link within the Trusted Research Environment’s ecosystem, Bitfount enabled secure analyses by training and deploying of AI models.
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.
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.
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.
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.