The risk & fraud layer
insurers underwrite on.

deepidv captures and forensically validates a government ID, matches it to a live selfie, and runs passive and active liveness in a single application flow. Identity-verified results return in under 60 seconds, so you can bind policies on accurate identity data instead of self-reported information. The same verified identity then anchors credit and behavioral intelligence used for pricing, reducing adverse selection before a premium is ever set.

Yes. deepidv scores incoming claims using identity verification, document intelligence, behavioral signals, and historical claims patterns to build case-level fraud scores with full evidence trails. High-risk claims are auto-triaged to your SIU rather than your bank account. The system also detects AI-generated photos, manipulated video evidence, doctored invoices, and fabricated supporting documents submitted at FNOL.

deepidv analyzes applicant behavior in real time during the digital application — form interaction patterns, session anomalies, copy-paste activity, hesitation signals, and device intelligence. Behavioral red flags that indicate fraud, exaggeration, or material misrepresentation are surfaced before an underwriting decision is made, so you bind clean risk instead of inheriting it.

Yes. deepidv automates KYC, CDD, AML, sanctions screening, PEP checks, and adverse-media monitoring across jurisdictions, with rules mapped to 162 frameworks across 211+ countries. The platform adapts compliance flows to local regulations in each market you write, screens both insureds and brokers, and provides continuous monitoring with automatic re-verification and regulator-ready evidence on every policy and claim.

Synthetic identities — where real and fabricated information are combined into a new identity — collapse under layered verification. deepidv validates identity documents forensically, cross-checks identity elements across authoritative databases, confirms biometric liveness so a real applicant is present, and flags inconsistencies across the verification chain. Synthetic profiles cannot stay consistent across all of these points, so they fail before a policy is issued.

deepidv is built API-first with modern REST endpoints, comprehensive webhooks, and SDKs for all major platforms, plus pre-built UI components for digital application and claims flows. Most teams go from API key to production in around four hours, and the document intelligence API supports standard claims-evidence formats out of the box. Sandbox environments and developer-friendly docs mean no professional-services dependency to get live.