Veriff vs Zams (formerly Obviously 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.

Obviously AI rebranded to Zams in February 2025. The original no-code data science platform that built classification, regression, and time-series models from CSV uploads in minutes is now archived at obviously.ai. The live product at zams.com is an AI worker platform for sales and revenue teams.

The archived Obviously AI product targeted analysts who needed churn prediction, lead scoring, and dynamic pricing without Python. Zams pivoted entirely to named AI workers like Evan for meeting prep and Atlas for CRM hygiene, connected to Salesforce, HubSpot, email, and calendar through plain-English commands rather than model-building dashboards.

Revenue teams evaluating sales automation are the current audience. Evan starts at $50 per month for meeting intelligence, while the automation platform Basic plan runs $125 per month with 1,000 agent tasks. The free tier on the archived site offered 1,200 predictions for hobbyists, but new signups route to Zams.