INDUSTRY

Insurance Underwriting Intelligence

Assess policyholder risk with comprehensive company intelligence. Financial health, compliance history, and operational quality data from 53 official sources.

5
Risk Dimensions
28
Sub-Scores
53
Data Sources
50M+
Signals
Industry Challenges

Underwriting demands better data

Insurance professionals need reliable, multi-dimensional risk data to price policies accurately and detect fraud early.

Risk Assessment Accuracy

Traditional underwriting relies on self-reported data and credit scores alone. Incomplete risk profiles lead to mispriced policies and unexpected losses.

Claims Fraud Detection

Identifying fraudulent claims requires cross-referencing director networks, company histories, and sanctions lists — data scattered across dozens of registries.

Regulatory Compliance Verification

Verifying that policyholders hold required licences, registrations, and regulatory approvals across FCA, CQC, FHRS, and environment agencies is time-consuming.

Portfolio Risk Aggregation

Understanding concentration risk across sectors, regions, and interconnected entities requires analytics that go beyond individual policy assessments.

Tailored Solutions

Underwriting intelligence, automated

Multi-dimensional risk profiling, network analysis, and operational quality data — purpose-built for insurance professionals.

01

Multi-Dimensional Risk Profiling

Assess companies across 5 risk dimensions and 28 sub-scores: financial health, compliance, governance, network risk, and operational quality — all from official sources.

02

Network Risk Analysis

Detect hidden connections through shared directors, PSC owners, and corporate ownership chains. Identify contagion risk from linked entities with failed or sanctioned companies.

03

Operational Quality Scoring

Evaluate operational standards through CQC inspection ratings, FHRS food hygiene scores, Environment Agency permits, and Ofsted ratings — quantified and comparable.

04

Sector Risk Benchmarking

Compare any company against its industry peers using sector-level risk distributions. Identify outliers and understand where a policyholder sits within their sector.

Data Sources

Risk and operational quality data

Financial filings, regulatory inspections, and compliance records from official UK government and regulatory sources.

Companies HouseCQC RatingsFHRSEnvironment AgencyPayment PracticesMortgagesLand RegistryFCAHMRC AMLGazette

Related Use Cases

Smarter underwriting starts here

Access 5 risk dimensions, 28 sub-scores, and 50M+ signals from 53 official sources — purpose-built risk intelligence for insurance professionals.