Bitfount

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Privacy in Practice

TRE-FX | UK's Trusted Research Environment Project | Secure data collaborations

The TRE-FX project aimed to address challenges associated with executing data analysis across multiple TREs with differing geographical or governance boundaries.

Privacy in Practice

6 min read

Federated Learning: Revolutionising AI by training models on distributed data without data sharing

Federated learning is reshaping the AI landscape, providing a new paradigm for training machine learning models that prioritise both data privacy and efficiency.

Privacy in Practice

6 min read

Ethical Considerations in AI Large Language Models

Find out how the emergence of AI and LLMs raises significant ethical concerns, particularly regarding bias, privacy, and accountability.

Privacy in Practice

6 min read

The Federated Data Science Unlock in Healthcare

Use of healthcare data is currently frustrated by valid privacy- and bias concerns. Privacy-enhancing technologies like federated machine learning and analytics can safely unlock the enormous value of healthcare data for the benefit of patients.

Get started for free

Create your first federated project now or get in touch to book a demo

Get started for free

Book a demo

TRE-FX | UK's Trusted Research Environment Project | Secure data collaborations

Federated Learning: Revolutionising AI by training models on distributed data without data sharing

Ethical Considerations in AI Large Language Models

The Federated Data Science Unlock in Healthcare

Get started for free

Product

Solutions

Resources

Company