How Bitfount works
Let insights flow, not data
We send algorithms and AI models to the location of the data, not the other way around, enabling all sides to collaborate easily, quickly and confidently.
how bitfount works
Bitfount is a full-stack federated network
Bitfount supports a range of AI and data science capabilities out of the box, all accessible in a single, flexible platform depending on the needs of your project.
Federated inference
Bring models to data to make predictions, without any data crossing the firewall
Bring the models to the data. Bitfount’s governance layer makes managing model usage permissions a breeze.
Private fine-tuning
Fine-tune the world’s leading open-source foundation models on your private data
Customise open-source models to achieve high accuracy on your domain tasks, without having to transfer your data out to third parties.
Federated training
Train models on multiple proprietary datasets without any data moving
Only model weights are transferred and aggregated, giving you the best models with minimal governance burden.
Federated model evaluation
Calculate model performance metrics on private data without sharing models, or data
Send models to truly held-out private datasets and receive back just the performance metrics.
Federated analytics
Extract insights and trends from multiple datasets for data-driven decision-making
Run complex analytics to address your toughest research, BI and data integrity questions, all without any data transfer.
private set intersection
Find dataset overlaps without disclosing unwanted information
Activate your first party data from your own warehouse without the need for third-party data clean rooms or confidential computing enclaves.
A full-stack federated network
Bitfount supports a range of AI and data science capabilities out of the box, all accessible in a single, flexible platform depending on the needs of your project.
Core capabilities
Federated inference
Bring models to data to make predictions, without any data crossing the firewall
Bring the models to the data. Bitfount’s governance layer makes managing model usage permissions a breeze.
Private fine-tuning
Fine-tune the world’s leading open-source foundation models on your private data
Customise open-source models to achieve high accuracy on your domain tasks, without having to transfer your data out to third parties.
Federated training
Train models on multiple proprietary datasets without any data moving
Only model weights are transferred and aggregated, giving you the best models with minimal governance burden.
Federated model evaluation
Calculate model performance metrics on private data without sharing models, or data
Send models to truly held-out private datasets and receive back just the performance metrics.
Federated analytics
Extract insights and trends from multiple datasets for data-driven decision-making
Run complex analytics to address your toughest research, BI and data integrity questions, all without any data transfer.
Private set intersection
Find dataset overlaps without disclosing unwanted information
Activate your first party data from your own warehouse without the need for third-party data clean rooms or confidential computing enclaves.
Longitudinal analysis
Stratify patients and gain clinical insights based on disease progression
Unlock insights on disease progression, treatment efficacy and more by analysing real-world patient-level imaging and EHR data.
Automated data transfer
Secure, automated data transfer for imaging-, EHR- and any other data
Centralise data from your partners to your own on-premise or cloud storage for observational trials, data partnerships and more.
Automated data transfer
Secure, automated data transfer for imaging-, EHR- and any other data
Centralise data from your partners to your own on-premise or cloud storage for observational trials, data partnerships and more.
Automated data transfer
Secure, automated data transfer for imaging-, EHR- and any other data
Centralise data from your partners to your own on-premise or cloud storage for observational trials, data partnerships and more.
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