AML, KYC & Financial Crime
E

Enqura

Enqura sells a five product platform to banks, fintechs, payment providers and insurers: EnQualify for identity verification, EnSecure for strong authentication, EnNovate for digital channels, EnWallet for payments and open banking, and EnConnect for customer communication, with shared middleware across all five. EnQualify reads identity documents by AI enhanced OCR and NFC chip verification, runs face verification, liveness and deepfake detection on the device, offers an AI agent interview that adapts to the applicant, and adds live video identification, supporting documents from 193 countries and reporting 99 percent accuracy and up to 90 percent onboarding success. Named institutions include Garanti BBVA, Odeabank, Gedik Yatırım and ALJ Finans, and the platform is offered through the Temenos partner marketplace and the Microsoft Azure Marketplace.

Last VerifiedOctober 2, 2026
Compare Enqura with other vendors
Founded
2014
Headquarters
Istanbul, Turkey
Website
www.enqura.com
Categories
aml-kyc-financial-crime, customer-banking-agents, lending-and-banking-operations
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

EnQualify is model driven, reading documents with AI enhanced recognition, matching faces, detecting liveness and deepfakes, and running an AI agent interview that adapts to the applicant. EnSecure authentication and EnNovate digital channels are conventional banking software that would stand without any model.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Live video identification and peer to peer video guidance put a person in the session, and a decision and management center with parametric definitions lets the institution set how verifications are decided. When a case moves from the AI agent to a person, and at what threshold a failed check is referred rather than rejected, is not published.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

One in ten million is the stated false face match ratio, beside 99 percent accuracy, and neither comes with a method, test set or false rejection rate. The evaluation report behind the false match figure is unpublished.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

ALJ Finans, Odeabank and Garanti BBVA are among named institutions, and one unnamed customer reports 82 percent success in remote acquisition. Verification in under five seconds is an aggregate that no named institution is tied to.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

On device verification would keep document images and faces on the handset during the check, but what is transmitted afterward is not said. Whether biometric data or one institution's onboarding attempts train models serving others is the first question a regulator asks of facial recognition, and it goes unanswered.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

Data individuals provide when using the products is covered by a privacy policy, updated February 11, 2025, naming Enqura as controller under the GDPR, the UK GDPR and Turkey's KVKK. Identity documents and facial biometrics processed for client institutions are not addressed, and processors and data locations are not named.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

Credentials on the EnQualify page include ISO 27001, and the security page claims Cybersecurity Framework compliance verified through independent audits. Certifying body, certificate number and scope are absent, and the badge row mixes the certification with data protection and card network logos.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Remote identification rules are not named for the onboarding product, in Turkey or elsewhere, and neither is any supervisor. Laws cited cover only Enqura's own processing, which leaves its position as a supplier to regulated institutions unstated.

AI Governance and Bias Disclosure
DD on AI Governance and Bias DisclosureNothing published on a product where the bias risk is concrete, such as credit decisioning or underwriting with no fair lending, disparate impact or adverse action disclosure.
Vendor Published

Face matching carries documented error differences by sex, age and origin, and no subgroup result, completion rate by population or face recognition evaluation is published for EnQualify. Who fails verification, on a product deciding access to accounts, is not reported.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

Up to 90 percent onboarding success leaves roughly one applicant in ten incomplete, and whether that person is told why or referred to a live agent is not said. Access and deletion rights under the privacy policy are a data route, with nothing standing behind the verification outcome.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Verification models are presented as in house, but no base model, biometric engine or document template library is named. Training data sources, hosting provider and subprocessors are likewise absent from the product, security and privacy pages.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

Temenos's partner marketplace lists the products for banks running that core system, verifiable in the marketplace itself, and the Microsoft Azure Marketplace is a second channel. EnWallet exposes more than 120 integrated payment and open banking features.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Server side, the platform has no published hosting provider, region or on premises option. Turkey, the Gulf and the United Kingdom differ on where biometric and identity data may be held, and the vendor sells into all three.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Five products and the middleware beneath them carry no published price, packaging or basis of charge, with engagement through contact. Its pitch is cost, up to 50 percent faster time to market, and whether products can be bought individually is not stated.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Banks, brokerages and insurers are among the buyers, with documents from 193 countries supported and coverage reaching onboarding, payments and customer communication. Material by institution type is thin, and depth outside Turkey is not evidenced.

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The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

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AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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