Veriff vs Kensho

Veriff verifies government IDs, selfies, and business records so companies can onboard users, run KYC and AML checks, and block fraud in about six seconds. Its decision engine analyzes behavioral data across each session and is trusted by more than 3,000 companies worldwide, including Instacart, Western Union, Wise, and Monzo. Automated identity checks report roughly 99.6% accuracy.

Many verification vendors license document forensics, liveness, and face-match models from third parties and rebrand the stack. Veriff builds its decision engine, liveness matching, and document forensics in-house, so one team owns accuracy when a case fails review. AML and database checks use named specialist partners listed in its sub-processor documentation rather than hidden behind the brand.

The platform combines document checks, biometric matching, passive liveness detection, and database cross-referencing into one workflow. It supports more than 12,500 government-issued identity documents across 230+ countries and territories, with end-user flows available in 50 languages. Beyond onboarding, Veriff covers proof of address, age validation, AML screening, business verification across 300+ jurisdictions, and ongoing biometric re-authentication.

Financial services, marketplaces, iGaming, mobility, and HR teams use Veriff for KYC, KYB, age assurance, and account reverification at scale. Fraud tools like CrossLinks, FaceBlock, and session video recording help teams spot synthetic identities and repeat offenders across the shared verification network.

Kensho is S&P Global's AI engine, built to structure, enrich, and retrieve financial and business data for enterprise workflows. Its public AI Toolkit at services.kensho.com gives teams a hands-on way to test core capabilities before committing to a broader deployment.

The toolkit bundles four products aimed at finance and research teams. Scribe handles speech-to-text for complex business audio. NERD identifies entities in text and links them to external databases. Link matches messy company records to S&P Global Company IDs. Extract pulls structured data from tables and text inside PDF documents.

Kensho positions these tools for analysts, data scientists, and research teams who need accurate transcription, entity resolution, company matching, and document extraction without building models from scratch. Free trials are available for each product with defined usage limits, and enterprise access runs through Kensho and S&P Global sales.