data partnerships
Activate first-party data without the data sharing headache
Setting up privacy-compliant data partnerships just got a whole lot easier. Matching of cohorts, lookalike discoveery, calculation of aggregated metrics and much more, all without any partner's PII data leaving their firewall.
A federated network of Trusted Research Environments to enable safe analytics
By acting as the link within the Trusted Research Environment’s ecosystem, Bitfount enabled secure analyses by training and deploying of AI models.
key features and benefits
Manage your partnerships safely while
creating maximum value for all sides
No data leaves
No data anonymisation required
Certifiably secure
HIPAA & GDPR compliant and ISO27001 certified
Install in minutes
Install via desktop app or Python SDK
Flexible data integrations
Analyse structured and unstructured data
Custom results
Visualise results with custom PDF reports
CAPABILITIES
Relevant capabilities for data partnerships
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.
Starting with Bitfount is simple, fast, and free.
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