Veriff vs GreenEyes.AI

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.

GreenEyes.AI builds managed cloud computer vision APIs with a focus on low-carbon infrastructure. The company offers plug-and-play REST endpoints for visual search, object labeling, content-based image retrieval, image shielding, and a generative chatbot that lets users query uploaded photos in natural language.

Founded in mid-2022 by digital veterans, GreenEyes.AI positions itself around responsible tech and sustainable AI. Its platform targets enterprise workloads with a 99.9% uptime SLA, object storage tied to organization accounts, and a web console for managing applications and datasets.

Developers integrate through the GreenEyesAI Web Console, which issues application credentials for authentication against api.cloud.greeneyesai.com. The service is currently in private alpha, with a TypeScript toolkit on NPM and a browser JavaScript plugin for client-side recognition calls.