RegGenome transforms fragmented regulation into structured, machine-readable data, powering smarter tools, faster insight, and scalable regulatory systems.
Regulation is changing faster than solutions can adapt, and the data layer hasn’t caught up.
We transform fragmented, unstructured regulation into machine-readable, machine-consumable source-linked data – ready to power the next generation of compliance, GRC, and regulatory systems.
The result: earlier signal detection, reliable change tracking and audit-ready outputs that reduce time to insight and improve the accuracy of regulatory workflows.
RegGenome forms a layer between authorities and regulatory solution providers, aggregating and structuring data with clear provenance to source, for digital consumption.
Whether you’re integrating systems, building a solution, or training a GenAI model, our modular layers deliver structured, source-linked regulatory data into your products and models.
Deliver faster, smarter compliance tools with structured, machine-readable regulatory data. Built for horizon scanning, regulatory change tracking, policy research, and risk assessment.
Accelerate control mapping with curated obligation & control datasets mapped to frameworks. Ready for integration into control platforms, automated compliance, & policy systems.
Surface relevant obligations quickly with our AI co-pilot. Interrogator accelerates research and strengthens defensibility with traceable, source-linked results.
We help the teams who build and govern regulatory systems turn regulation into dependable data, delivering speed, consistency and trust.
Reduce content development overheads, accelerate feature delivery, and scale automation with structured, context-rich, machine-consumable data.
Enable dynamic and automated controls mapping, regulatory impact analysis, and risk assessments with standardised inputs and lineage..
Benchmark, align, and digitise rulebooks with cross-jurisdictional data mapped to global standards.
RegGenome data is built for trust.
Born out of University of Cambridge research and as a founding member of the Regulatory Genome Project, our information structures are reviewed with regulators, mapped to standards, and structured with standard-setting bodies.
This strengthens provenance, interoperability, and trust – giving you confidence in the accuracy and reliability of the information you access.
CEO, Single Rulebook, Kaizen
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Whether you’re building horizon scanning features, control mapping workflows, or AI-driven compliance tools, we’re here to power what comes next – with structured regulatory data that’s ready for scale.
Discover our range of resources designed to help you streamline regulatory compliance and stay ahead of regulatory complexities.
BLOG
How structured regulatory data enables RegTechs to scale AI features, deliver defensible outputs, and remove the bottlenecks caused by fragmented [...]
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WHITEPAPERS
Gain valuable insights on the transformation of regulatory information into a scalable, structured digital asset.
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Press Release
Selected as a platform partner for AI-enabled policy analytics to accelerate policy development and improve the efficiency of digital compliance [...]
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