AML, KYC & Financial Crime
D

Dotfile

Dotfile is a Paris business verification platform founded in 2021 by Vasco Alexandre and Titouan Benoit inside the startup studio Hexa, formerly eFounders, with offices in San Francisco and London. It sells an end to end know your business platform that assembles a picture of a company through a single API reaching more than 60 data providers across more than 200 jurisdictions and more than 400 million company records. A customer lifecycle layer covers data orchestration, a configurable risk engine, an Integration Studio with more than 1,000 connectors, case management and a white label client portal.

A data intelligence layer covers business data and beneficial ownership discovery, anti money laundering and sanctions screening, online reputation scoring, identity verification, and Dotfile Autonomy, AI agents that pre investigate business verification cases from document collection to a risk summary. Solutions are packaged for business onboarding, individual onboarding, perpetual monitoring, back book remediation and fraud detection, with risk scoring for cryptocurrency businesses and readiness for the European MiCA regime. Named customers include Flowdesk, which reports onboarding 75 percent faster, Keyrock, Defacto, Spendesk, Unzer, Flow Traders and Roundtable. It takes registry coverage from Kyckr and electronic identity verification from GBG, states EU located servers, and runs a trust center on its own subdomain.

Last VerifiedOctober 2, 2026
Compare Dotfile with other vendors
Founded
2021
Headquarters
Paris, France
Website
www.dotfile.com
Categories
aml-kyc-financial-crime, compliance-and-surveillance, fraud-and-transaction-risk
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

Case management, a client portal and a configurable risk engine would still add up to a working compliance platform without models. On top, Dotfile Autonomy agents pre investigate business verification cases from document collection to a risk summary, alongside document verification and ownership unraveling.

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

Findings from the agents land in case management, the customer configures the risk engine, and audit logs with advanced permissions record who did what. For a product named Autonomy, nothing says what bounds it: no threshold, escalation rule or limit on closing a case without a person.

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

Accuracy rates, false positive figures and validation material are unpublished for ownership unraveling, agent summaries and risk scoring. A regulated buyer expected to validate the financial crime models it relies on has nothing to start from.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Flowdesk onboards 75 percent faster, from eight hours to an hour and a half, Keyrock verifies documents ten times faster and Defacto reports operating costs 40 percent lower, all named on the homepage. None of them comes with a stated method or period.

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

Agents and risk scoring run over a shared corpus of more than 400 million company records, so improvements drawn from one institution's activity could reach another. Whether case data, analyst decisions or outcomes train models served to others is not stated, nor what happens to an institution's case history when it leaves.

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

GDPR compliance and custom retention policies are stated on the security page, but no subprocessor list, default retention period or data processing terms are published there. Beneficial ownership data, identity documents and directors' details pass through third party suppliers across many jurisdictions, which makes the missing provider list matter.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

SOC 2 Certified appears on the homepage and security page with no report type, an ambiguous credential on its own. Whatever reports exist sit in a browser only trust center at trust.dotfile.com.

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

France's financial intelligence unit and other supervisors oversee the customers, who hold the anti money laundering obligations, while Dotfile states no license or registration of its own. Its published guidance on the French digital asset regime and the MiCA transition is subject matter knowledge rather than a supervised status.

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

Sanctions and politically exposed person matching performs unevenly across scripts and naming conventions, and online reputation scoring disadvantages newer companies and those in markets with thinner online coverage. Neither a fairness disclosure nor an evaluation across jurisdictions or business types is 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

Companies wrongly scored on reputation, misresolved in their ownership structure or wrongly matched to a screening list may be refused without learning that Dotfile's analysis drove the outcome. Dotfile publishes no correction route and no split of responsibility between itself, its data suppliers and the institution.

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

Model supply goes undisclosed: no provider, family or version is named for the agents or for document verification, ownership analysis or reputation scoring. Part of the data supply is named, but a subprocessor list is not published.

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

A single API reaches more than 60 pre integrated data providers across more than 200 jurisdictions, Kyckr for registries and GBG for identity verification among them, and the Integration Studio adds more than 1,000 pre built connectors. Those are data suppliers and generic connectors; no core banking, case management or payments system on the customer's side is named.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

Servers sit in the European Union, stated on the homepage and security page alongside 99.99 percent availability. No hosting provider or private deployment is named, and nothing covers where data rests once it passes to upstream providers in other jurisdictions.

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

The pricing page carries a demo form, testimonials and feature descriptions but no plan, price or billing basis. With dozens of separately metered upstream providers bundled in, a buyer cannot tell whether cost follows checks, verified entities or seats.

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

Customers span spend management, payments, digital asset trading and private markets, with Spendesk, Unzer and Flow Traders among the names. Material is organized by use case rather than institution type, and the base leans heavily on France and continental Europe.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Dotfile, 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.

Sep 21, 2026Product / capability

Dotfile rebuilt Analytics around three read only dashboards: an executive Overview (approval rate, time to decision, automation rate, portfolio risk), AML & Screening (alert resolution times, false positive rate, hit review outcomes) and Documents, ID & eKYC (pass rates and rejection reasons). Users can ask the Autonomy agent in plain language for any other chart, and Autonomy only saves it to a dashboard after the user clicks Approve. Every figure opens the underlying case and check records, which can be exported as CSV or XLSX (up to 500,000 rows) or as a dashboard PDF, with new role permissions for access and custom dashboards.

Bears on: Operational and Outcome EvidenceSource
Our read on this update →Tracked since Sep 2026

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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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