Model developers

Safely develop and deploy your models at scale

Across the entire MLOps lifecycle, create superior models and unlock new revenue streams with Bitfount safely handling on-premise model training and distribution.

Use cases

A single enterprise-grade platform for everything from dataset evaluation to model training, fine-tuning, evaluation and deployment.

AI model training

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 evaluation

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.

Some of the AI-enabled sites using Bitfount

Stadtspital Zürich

Queen’s University Belfast

Moorfields Eye Hospital

Bay Area Retina Associates

RCMG

Berner Augenklinik

RVAF

Retina Macula Institute

University of Utah

The Retina Clinic London

Universität Regensburg

Erie Retina Research

Ganglion Orvosi Központ

Cascade Medical Research Inst.

Verum Research LLC

Built for secure AI collaboration.
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