Microblink
Microblink builds computer vision and biometric models for identity document capture, authentication and verification, sold to banks, lenders, fintechs and payment providers as software development kits and as a hosted platform it now calls the Identity Intelligence OS. The platform combines real time intelligence (document verification, deepfake detection, biometrics and device signals), a Command Center with decision and rules engines and fraud analytics, an identity graph, and workflow orchestration. Capture runs on the device through client side machine learning models.
Microblink states that it processes more than 4 billion identities a year across more than 195 countries and territories, and names customers including Banco Azteca, for account opening and loan applications, Latin ID, which reports a 98 percent success rate for automotive lenders, and Instacart. In the Department of Homeland Security Science and Technology Directorate's Remote Identity Validation Rally, announced March 2, 2026, Microblink reports it was the only one of seven vendors to meet every performance threshold, with a 3.15 percent document false reject rate and a 0.88 percent false accept rate.
It holds ISO 27001:2022 with an ISO 27701 privacy extension and a SOC 2 Type II examination. The company was founded in Croatia and is headquartered in New York, with research and development in Zagreb.
Capability Axes
Capability grades
15 of 15 axes rated · 11 graded A or B
Remove the models and no product remains: document authentication, deepfake detection and liveness are all model driven. A decision engine and fraud analytics sit on top in what is now branded the Identity Intelligence OS.
Command Center gives the institution a decision engine and rules engine, with the certainty and threshold of each security check tunable by the customer. The applicant's side is missing: no manual review queue, escalation route for a borderline capture or way to reopen an automated rejection is described.
The Department of Homeland Security's Remote Identity Validation Rally, announced March 2, 2026, measured document validation at a 0.00 percent system error rate, a 3.15 percent false reject rate and a 0.88 percent false accept rate against a 10 percent threshold. Model documentation, a validation summary and drift monitoring are not published.
Latin ID reports a 98 percent success rate on know your customer checks for automotive lenders, a named customer joined to a figure. More than 4 billion identities are processed a year.
Demo app data trains machine learning systems with the user's consent, per the privacy policy, but whether documents captured for one institution improve models serving another is not said. Deepfake, synthetic identity and injection attack detection are strong safety work that leaves that stewardship question open.
An ISO 27701:2019 privacy extension has applied to the firm as a processor of personal data since 2023, and the privacy policy sets out the processor role under data processing agreements, standard contractual clauses for transfers and data subject rights. Retention for captured documents and biometric templates, a subprocessor list and state biometric privacy law are not addressed.
ISO 27001:2022 certification covers the computer vision services for scanning and verifying documents across the US and Croatian offices, and a SOC 2 Type II examination against security and availability covers all identity products. Reports sit behind a nondisclosure agreement at trust.microblink.com, and neither the certification body nor the audit period is named.
Customer identification, know your customer and anti money laundering duties shape the product material, which combines document, data and watchlist checks to meet them. No authorization or registration is published, which is expected of a technology vendor.
Accuracy measured externally is not fairness measured externally: the government rally tested documents from 23 states and Washington DC on several phone platforms and reported no demographic differentials. Its biometrics page claims face match works across global demographics and lighting conditions with no breakdown or bias testing behind it.
Error rates measured by a government test team give a falsifiable accuracy figure with its method, and at the published false reject rate roughly one legitimate applicant in 32 is wrongly turned away. Guarantees, appeal routes and a split of responsibility with the deciding institution are all unpublished.
Owning and building the stack in house, from on device capture to biometric AI and fraud detection, is an explicit homepage claim, and the government evaluation partly corroborates it because the tested system was the firm's own. Hosting providers, licensed components and any model or version identifier a bank could record against a decision are not disclosed.
Banco Azteca runs the same component across several mobile applications for account opening and loan applications, and integration comes through interfaces, lightweight development kits and an orchestration layer with a workflow builder. Results return in under three seconds, though no core banking, origination or decisioning platform is named as a connection.
Capture and first processing run on the user's device through client side models, keeping raw images local until submission. Authentication, matching and decisioning run server side, and no hosting region or in country residency option is enumerated for that half.
A demo request or contact form is the only way in, and no rate, tier or minimum commitment is published. Free trial access to the development kits helps a developer judge fit without letting a buyer size a contract.
Bank identity verification and biometric onboarding for regulated finance each get dedicated material, and documents from more than 195 countries and territories are read. Financial services is not split by institution type, and much of the business sits outside finance, from on demand delivery to retail receipt capture.
Product updates
Material product, regulatory, evidence and commercial changes at Microblink, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.
BlinkCard SDK releases published on GitHub on 25 Sep (iOS v3000.1.0, Android v3001.0.0, with Web 3001.0.0 on npm on 24 Sep) make redaction of sensitive card data the default. The card number is now redacted in both the captured image and the returned result with only the first 4 and last 4 digits visible, and the CVV is fully redacted; IBAN and cardholder name are not redacted.
Compared With
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Pricing
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