Veriff vs Zig (formerly MarkovML)

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.

Zig, formerly MarkovML, gives sales teams a crew of AI assistants that research prospects, draft outreach, prep meetings, send follow-ups, and log CRM updates while reps approve the work. The markovml.com domain now points visitors to Zig.ai, where the product covers research, outreach, meetings, follow-up, CRM sync, and pipeline monitoring in one revenue operating system. It connects to CRMs, inboxes, calendars, and outreach tools your team already uses.

Most sales stacks split those jobs across Apollo, Gong, Salesloft, and a notetaker that reps have to open manually. Zig runs in the background through email, Slack, phone, and the ZigMobile app, surfacing approval cards before messages send and claiming 60+ hours back per rep each month with 95% CRM accuracy. Pricing is outcome-based with unlimited users, not per-seat licenses, and execution pools carry forward instead of expiring unused.

Starter Team runs $799 per month on a 12-month agreement with 3,000 ZigLead enrichment credits and 25,000 AI outbound emails. Growth Team adds higher volume and a dedicated customer success engineer at $1,199 per month. Enterprise teams get custom capacity, SOC 2 Type II, SSO, and forward-deployed engineering through the Enterprise Forward Deployment program.