ReguLink translates AI regulations into machine-verifiable technical constraints — across EU AI Act, NIST AI RMF, SEC, and FTC. With a published error budget. Most compliance tools won't tell you theirs.
Every mapping traces back to its source clause. No black boxes.
Illustrative schematic · published benchmarks below
Each domain runs dedicated sentinels against sourced regulatory text — real articles mapped to verifiable technical constraints, not generic prompts.
Risk classification, human oversight requirements, transparency obligations. Articles 5 and 6 prohibited and high-risk classifications with Annex III mappings.
GOVERN, MAP, MEASURE, MANAGE framework — principle-based risk management with traceable constraint mappings for each function.
2025 Examination Priorities, Marketing Rule AI claims, Regulation S-P customer data, and model risk management for financial AI systems.
Section 5 algorithmic fairness, deceptive design patterns, and data security obligations for AI training data under active FTC enforcement guidance.
Submit your AI product profile. Sentinels classify risk tier and map relevant regulatory articles to verifiable technical constraints across all active domains.
Bind training data records, test results, and human oversight logs. The engine runs gap analysis to identify which constraints are satisfied, missing, or under-evidenced.
Generate an audit-ready binder with traceable evidence, gap findings, and cross-domain conflict analysis. Export as HTML or PDF for external review by qualified counsel.
Three steps from product profile to audit-ready binder.
Submit your AI product profile. Sentinels classify risk tier and map relevant regulatory articles to verifiable technical constraints across all active domains.
Bind training data records, test results, and human oversight logs. The engine runs gap analysis — satisfied, missing, or under-evidenced.
Generate an audit-ready binder with traceable evidence, gap findings, and cross-domain conflict analysis. Export as HTML or PDF.
Most AI compliance products advertise their internal benchmark and hide their blind-evaluation results. We publish both — alongside our documented failure modes.
This is the design constraint, not the marketing copy.
The engine uses rule-based keyword matching, not LLM reasoning. That's deliberate: deterministic, auditable, inspectable. The cost is on the wall.
Public pricing on every tier. Trial requires no credit card.
We're looking for AI teams with real compliance pressure — not theoretical interest. Design partners get full platform access during development in exchange for shaping what gets built.
ReguLink closes that gap. Rule-based from end to end — so every constraint, every mapping, every gap finding is traceable back to a source clause. No black boxes. No optimistic accuracy claims. Just the evidence your next audit requires.