Document redaction that keeps humans in charge
Multi-Academy Trusts handle thousands of documents. Before anything is shared, including board papers, performance reports and case files, teams spend hours checking every page for personal data. Miss one name or email, and you’ve got a compliance risk.
Eclipse changes the workflow. We surface likely personal data across your documents and show you exactly what we found. You stay in control: review, confirm and decide what to remove. It’s human‑in‑the‑loop by design, because context matters.
We don’t replace judgment. We accelerate it. Review in minutes with confidence that nothing vital was missed. Every redaction is your decision. We just make sure you see what matters first.
We’re a team that believes AI should serve people and privacy.
Product Owner
Tom turns messy data problems into clean solutions. With deep expertise in data governance and machine learning, he ensures Eclipse understands documents the way compliance officers do.
Strategic Advisor
Leading TransforMATive Group, Jonny knows the daily reality of MAT operations. His experience managing 30+ academy trusts shapes how Eclipse fits into real workflows.
Lead Engineer
Peter builds Eclipse's technical foundation with security at its core. Currently at Diligent Corporation, he brings enterprise-grade reliability to every feature.
Frontend Developer & Product Designer
Marton makes complex compliance feel simple. With experience across fintech and legal tech, she designs interfaces that put users in control, not confusion.
Data Protection Officer & Head of Information Governance
Qualified solicitor (England & Wales) with expertise in data protection, information, and corporate governance. At Eclipse, he ensures our AI-powered redaction platform meets the highest standards of regulatory compliance and transparency.
Machine Learning Specialist
Gergely is a machine learning specialist with a PhD from the Budapest University of Technology and Economics. His published research covers machine learning for cloud infrastructure, including AI-based auto-scaling for Kubernetes and predicting failures in cloud-native applications, alongside resilient network design and sports analytics. His work has appeared in IEEE journals and conferences and has been cited several hundred times. At Eclipse he leads machine learning, including how the platform learns from reviewer feedback.
The MAT consultancy behind Eclipse’s sector expertise. A Confederation of School Trusts Platinum Partner, certified to Cyber Essentials Plus.
Eclipse’s technical delivery partner, responsible for the engineering, data and AI work behind the platform.
beautifuldata.co.uk