Deepheem
Deepheem is an evidence-based AML and KYC investigation platform designed for compliance professionals. It allows users to submit a compliance brief, after which it automatically retrieves primary regulatory sources from authoritative databases (such as FCA enforcement records, legislation.gov.uk, JMLSG guidance, FATF recommendations, and jurisdiction-specific sources). The platform then classifies every retrieved source by type (Regulatory Authority, Official Legislation, Government Source) and assesses each finding against the evidence, rating it as Supported, Partially Supported, Unsupported, Contradicted, or UNCLASSIFIED when evidence is insufficient. This structured approach ensures no speculative risk ratings are ever returned. Deepheem is not a chatbot or a search engine; it acts as an investigation structuring layer. It accelerates the research stage of compliance investigations, producing a formatted report in under 10 minutes. The output includes supported conclusions, identified evidence gaps, contradictions, and regulatory mapping, all with full source citations. Reports are designed to be incorporated directly into Enhanced Due Diligence (EDD) files and audit records, though they require independent professional review before regulatory reliance. Key features include multi-jurisdiction support covering UK, US, and Nigerian regulatory frameworks, a strict evidence gate that returns UNCLASSIFIED instead of guesses, transparent workflow from query to report, and citation-backed PDF exports. The platform is built for AML analysts, KYC teams, and Money Laundering Reporting Officers (MLROs) who need defensible, source-backed research rather than black-box risk scores.
- Category
- Code
- Pricing
- Free
Problem solved
AML analysts, KYC teams, and MLROs often spend hours manually searching regulatory databases and synthesizing findings, often resulting in incomplete evidence trails or speculative risk assessments. Deepheem solves this by automating the retrieval, classification, and evidence-grading of regulatory information, delivering a structured investigation report with clear citation trails. This reduces research time, ensures consistency, and provides a defensible evidence basis for compliance decisions, helping organizations meet regulatory scrutiny and audit requirements.
Use cases
- Investigating Enhanced Due Diligence (EDD) obligations for a UK payment institution under MLR 2017.
- Assessing FCA enforcement risk and regulatory exposure for a financial services firm.
- Mapping CDD/EDD requirements for high-risk customers across multiple jurisdictions.
- Conducting Companies House research and adverse media checks integrated into compliance reports.
- Building structured EDD files with full source citations for audit and regulatory submissions.
Audience
- Business Users
- Enterprise
Pros
- Evidence-based, with an enforced evidence gate that returns UNCLASSIFIED rather than speculative ratings.
- Structured, citation-backed reports suitable for EDD files and compliance audits.
- Multi-jurisdiction support covering UK, US, and Nigerian regulatory frameworks.
- Fast turnaround: investigations completed in under 10 minutes.
- Transparent workflow showing every source, classification, and assessment step.
Cons
- Not a compliance engine or legal advisor; outputs require independent professional review before reliance.
- Jurisdiction coverage currently limited to UK, US, and Nigeria; may not suit global needs.
- Not a screening or sanctions tool; name-matching and transaction monitoring must be handled separately.
Official website: https://deepheem.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/deepheem