RegGenome turns complex global regulation into structured data that retains the meaning and context of each requirement and stays traceable to its original source, supporting policy, supervision, risk and compliance.
Policy Intelligence, delivered through specialised models built on the regulatory data corpus. Assess alignment with international standards, benchmark against peer jurisdictions and review evidence against supervisory expectations.
Outputs cover policy analysis, policy development and drafting, and supervisory assessment, and remain traceable to the underlying sources.
Next-gen Regulatory Inventory, built on structured, source-linked regulatory data. Establish what applies across jurisdictions, legal entities and business lines, and keep that regulatory footprint current as regulation changes.
Supports horizon scanning, obligation identification, applicability assessment
and change management.
Regulatory meaning depends on the wording, scope, conditions and relationships within a provision. All of that has to survive when the text becomes data.
Collecting regulation and giving it structure is where most regulatory data work stops. Codifying it is what makes it usable in a compliance or supervisory workflow: recording which entity a requirement binds, which activity and jurisdiction it covers, how strongly it binds and under what conditions.
Regulatory frameworks express requirements through different language, structures and drafting traditions. A shared classification provides a basis for comparing them without treating them as equivalent.
For Authorities
Identify specific points of alignment and divergence to inform policy review and cross-border coordination.
For Regulated Entities
Examine where requirements differ across markets, and what those differences mean for obligations and controls.
For Both
Compare individual requirements rather than whole documents, with the evidence reusable across reviews and available to the systems acting on it.
regulatory organisations use RegGenome data
or models
globally systemically important banks use
RegGenome data, directly or through partners
regulatory documents across 55+ jurisdictions
and 20+ languages
RegGenome provides regulatory data infrastructure in two connected parts: a corpus of structured regulatory requirements, each traceable to its source text, and the models and tools that apply that corpus to specific policy, supervisory and compliance questions.
Because the models draw on the same structured requirements, every output can be traced back to the provisions it rests on. Teams use them within their own applications, AI systems and workflows.
Our information structures are reviewed with regulators and mapped to international standards. This helps make the data dependable and consistent to use across systems and workflows.
RegGenome has its origins at the University of Cambridge and is a founding member of the Regulatory Genome Project, an ongoing public-private initiative standardising how regulation is structured.
Explore how RegGenome’s data and models could support your policy, supervisory, risk or compliance workflows.
Discover our range of resources designed to help you streamline regulatory compliance and stay ahead of regulatory complexities.
Webinar
This Virtual Policy Forum brought together leading researchers, regulators and policymakers to examine that question. The discussion drew on a [...]
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Press Release
RegGenome, a regulatory data technology company, has been selected by the Asian Development Bank (ADB) to support its technical assistance [...]
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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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