UK Taxi PHV Licensing
Check taxi and private-hire licensing requirements across supported authorities. Run applicant preflight checks, compare authorities, and inspect the evidence behind the result.
Regulatory infrastructure for AI
Evidence-linked regulatory decisions for people, businesses and AI agents
Turn fragmented UK regulatory guidance into structured preflight checks, comparisons, and change-impact decisions — with official-source links, freshness monitoring, and fail-closed handling when evidence is incomplete or conflicting.
Designed for trustworthy automation. Core decision logic is deterministic and evidence-bounded. When current evidence cannot safely support a conclusion, the system reports review or missing information instead of guessing.
Products
Taxi & private hire
Health & social care
Licensing Act 2003
Sponsor compliance
Four focused regulatory products
Choose the workflow that matches your real question. Start with structured facts; use the developer interfaces only when you need programmatic access.
CQC Provider Compliance
Evidence-linked preflight for CQC registration, regulated activities, application readiness, provider changes, and statutory notifications in England.
UK Premises Licence Preflight
Assess licensing triggers, local-policy signals, missing facts, and cross-authority differences before a premises-licence application.
England Works Watch
Check how salary, role, work-location, absence, sponsorship, TUPE, merger, and other changes affect Skilled Worker sponsor duties.
Why RegEvidenceHub
From regulatory pages to decision-ready evidence
Regulatory information is often spread across national guidance, council policy pages, PDFs, application guidance, and changing source material. RegEvidenceHub converts reviewed rules into structured decision logic while preserving the evidence boundary behind each result.
Evidence-linked
Results retain relevant source provenance instead of returning unsupported conclusions.
Deterministic
Core regulatory checks use structured rules rather than asking a language model to invent an answer.
Freshness-aware
Decision-bearing sources are monitored for change, availability, and unresolved conflicts.
Fail closed
When evidence cannot safely support a conclusion, the result is withheld or routed to review.
How it works
Built for people, businesses and AI workflows
1
Supply facts
A person, business workflow or AI agent provides structured facts relevant to the regulatory question.
2
Select rules
The product applies the relevant reviewed regulatory rules for its bounded scope.
3
Check evidence
Source status and evidence dependencies are evaluated before a decision is relied on.
4
Return a result
The service returns a structured result, evidence context, and next action or review state.
The deterministic decision path does not require a server-side LLM.
MCP
One portfolio, four AI connector surfaces
RegEvidenceHub products expose remote MCP interfaces for AI assistants, agents, and workflow automation. AI-safe connector surfaces are separated from commercial MCP endpoints; available tools differ by product.
Taxi
https://taxi.regevidencehub.com/ai/mcpCQC
https://cqc.regevidencehub.com/ai/mcpPremises
https://premises.regevidencehub.com/ai/mcpSponsor compliance
https://works.regevidencehub.com/ai/mcp
Production automation
Commercial decision endpoints stay separate
Commercial MCP endpoints support higher-value regulatory decision workflows, automation, comparison, batch processing, and usage-based access where applicable. Pricing and decision capabilities are published by each product.
View pricing