AML, KYC & Financial Crime
S

smartKYC

smartKYC automates counterparty due diligence for private banks, corporate and investment banks, retail banks, wealth managers and multinational corporates through smartEYE for Banks and smartEYE for Corporates, using multilingual natural language processing that machine reads online media, registries, court records and watchlists in their native language rather than matching keywords. Its distinguishing method is identity level screening: every hit is scored for relevance using attributes such as age, nationality and company affiliation rather than name alone, which addresses the false positive problem that dominates adverse media work.

Coverage spans onboarding, periodic refresh, perpetual monitoring, batch remediation and source of wealth analysis, and the platform can run on premise or in the cloud. InvestCloud has built smartKYC into its Intelligent Screening product for wealth managers.

Last VerifiedOctober 2, 2026
Compare smartKYC with other vendors
Founded
2014
Headquarters
London, United Kingdom
Website
smartkyc.com
Categories
aml-kyc-financial-crime, compliance-and-surveillance, wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 11 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Documents and articles are machine read in their native language and script, and relationship inference surfaces links to politically exposed and high risk persons. Without the models, what remains is the federated keyword search the product defines itself against.

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

Alerts arrive only by exception, classified by criticality so escalation follows each client's risk policy, and straight through processing is offered for onboarding and batch remediation. The confidence at which a hit is escalated rather than discounted is unpublished.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Each hit carries a relevance score, and findings come from source documents a reviewer can open rather than an opaque risk database. Precision, recall and validation results are unpublished, though fewer false positives at equal detection is the core claim.

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

InvestCloud built its Intelligent Screening product for wealth managers on smartKYC technology, announced August 6, 2025 with chief executive Dermot Corrigan quoted. No other customer is named and no outcome figure, client count or volume is published.

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

Screening draws on public, subscription and private sources rather than pooled customer data, and on premises deployment keeps an institution's adjudication history at home. For the multi tenant cloud, whether the history of discounted and escalated hits tunes relevance scoring, and how profiles of the same people stay separate between banks, are unstated.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

Screened individuals are covered by the privacy notice from smartKYC Limited at 83 Victoria Street, London, which lists identification numbers, associations and financial history among the categories processed and separates its controller and processor roles. Retention periods for screening data and named subprocessors are not given.

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

ISO 27001 certification is named with certificate number 23913. Certifying body, scope and renewal date are not stated, and no SOC 2 report or trust portal is offered.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

Customer and enhanced due diligence obligations from the Financial Action Task Force shape the material, along with a precise account of what supervisors find in adverse media programs, from keyword floods to English only coverage. Neither a register entry nor another formal admission stands behind the position.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Hits are scored on identity, using attributes such as age, nationality and company affiliation, and name variants are resolved across transliteration, spelling and pronunciation, which targets the false matches common names generate. That is product design rather than governance: no false positive rate by name origin or script and no named bias review process are published.

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

Terms updated April 22, 2026 put final compliance decisions solely on the customer, call outputs probabilistic and disclaim any warranty that AI outputs are error free. A screened person can use access, rectification and objection rights, which correct data rather than an outcome.

Integration and Deployment
Model Supply Chain Disclosure
BB on Model Supply Chain DisclosureSubstantial partial disclosure, or a chain that is structurally short: an explicit in house build, on premise deployment, per customer instances, or zero retention at the model layer.
Vendor Published

More than 50 sources come standard, spanning public web content, subscription databases and private data such as blacklists, so the evidentiary basis of a finding is clear. Individual data and model providers are unnamed, and subprocessors are unlisted.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

API first delivery injects outputs into client lifecycle systems, and a flagged payment from connected transaction monitoring can trigger enhanced due diligence on the parties. API documentation is private, and beyond the one wealth platform partner no core banking or onboarding system is named.

Deployment Model and Data Residency
AA on Deployment Model and Data ResidencyOn premise or hybrid deployment is offered and documented, alongside where data rests.
Vendor Published

On premises or cloud hosting is offered, with a multi tenant architecture for cloud, and the privacy notice keeps processing within the United Kingdom, the European Union or jurisdictions with adequate protection. Private banks holding confidential risk profiles can keep them in house.

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

Production access runs under a separate subscription or license agreement, which names the commercial shape without a number attached. Engagement goes through contact, and whether charges fall per screen, per monitored client or per seat is open.

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

Private banking, corporate and investment banking and wealth management are among the institution types served, and corporates use the same tooling for supplier screening. Coverage runs from onboarding through continuous monitoring with batch remediation, stopping short of transaction monitoring and case management.

Head to Head

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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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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