Signzy
Signzy sells digital onboarding, identity verification and compliance automation to banks, non bank lenders, payment providers and global enterprises. Its no code platform and application programming interface (API) catalog let an institution assemble a risk based onboarding journey without engineering, covering document capture and optical character recognition, biometric face match, liveness and deepfake detection, forgery checks, know your business verification, sanctions and politically exposed person screening, transaction monitoring and contract execution. Trust Scores built on more than 200 device, transaction and identity signals target mule account fraud.
Business verification screens companies against registries in more than 150 countries and all 50 US states. An agentic platform connects a bank's core system to the Central Know Your Customer Records Registry for search, validation, upload and monitoring, converting records to the registry's 2.0 schema. Customers include HSBC, Citi, ICICI Bank, Amazon Pay, Stripe and Mastercard, and the company has grown to a team of more than 400 across three geographies.
Capability Axes
Capability grades
15 of 15 axes rated · 9 graded A or B
Face matching, liveness and deepfake detection run on first party models, alongside patented video fraud detection. An orchestration layer that routes each customer through configured checks would still be worth buying on its own.
Risk based journeys let an institution route each customer by risk level, geography and product type, and verification that once took days now completes in under a minute. Those choices are made at design time. At decision time, a review queue, escalation threshold or alternative evidence path for someone the system cannot verify goes undescribed, which leaves the hardest cases to whatever process the institution builds around the product.
Video verification is stated as 95 percent accurate for face match, liveness and live location detection, a figure published without its method or test population. More than 1 billion users verified measures volume, not how often a verification was right. False match and false rejection rates, presentation attack accuracy and accredited third party evaluation are absent.
HSBC, Citi and Stripe sit among named customers, with more than 500 companies served, but none is joined to a measured outcome. Recognition from awards and analysts fills the space where results would sit.
Models are trained on millions of real verification attempts from actual banking customers, so customer data improves the models every other customer uses. Consent, whether biometric captures join the training set and whether a bank can opt its customers out are not addressed.
Personal information collected through the APIs, directly or via integrating customers, falls under a privacy policy updated February 20, 2025, with heightened security for facial images and biometric templates. Illinois, Washington and Texas residents get specific biometric notices, and retention runs as long as necessary without fixed periods.
ISO 27001 certification is stated alongside an untyped SOC 2 compliance claim, 256 bit encryption and round the clock security monitoring. Certificate scope is not given, and no accredited presentation attack detection certification appears for the biometric checks.
Searches, uploads and monitoring against the Central KYC Records Registry are automated, and video based customer identification, a modality the Reserve Bank of India introduced, is a core product. Those processes run under the regulated institution's own registration rather than any admission Signzy holds.
False rejections in face matching and liveness fall unevenly by skin tone, age and gender, and Trust Scores built from device and behavioral signals can read atypical interaction as mule risk against a named person. Demographic error rates, independent face recognition evaluation and an appeal route are all unpublished.
The person verified holds access, correction and deletion rights over API collected data, a data route rather than recourse for the decision. Someone failing a face match or liveness check is not told which system decided, and no guarantee or accuracy commitment stands behind the output.
Mastercard and Microsoft are named at the commercial level, and the endpoint catalog is openly an aggregation of external verification and data services. Individual data providers, hosting and analytics providers and any model provider for the biometric components are unnamed.
API reference documentation at docs.signzy.com covers more than 340 endpoints and low code widgets, with go live stated in days. How deep the connection runs into an institution's own core banking or origination systems is left open.
Data localization and residency are listed among security commitments, and processing occurs in the United States, India and other jurisdictions. Hosting provider, selectable regions and a private deployment option are left out.
Pricing is absent from the vendor's own site, with no rates, tiers or basis of charge, so video verification and the API catalog cannot be sized before a sales conversation. Subscription plus per call descriptions come from outside reviews, not the vendor.
Banks, payments firms and crypto exchanges such as Coinbase and Binance sit alongside enterprises, with journeys covering account opening, loan disbursement and credit card issuance. Operations span India, the United States and the Middle East.
Compared With
Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.
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Pricing
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