Compliance, Surveillance & RegTech
U

Umony

Umony captures, archives and monitors regulated communications for banks, hedge funds and private equity firms, across mobile calls, text messages, chat, email, voice and video, including third party platforms such as messaging apps, collaboration tools and mail. Its distinguishing choice is architectural: recording happens inside the carrier network rather than on employee handsets, so it does not depend on device settings, capture software or third party applications, cannot be switched off or bypassed by the user, and produces records the firm can defend.

Archiving is built for financial record keeping requirements, and generative models monitor communications in 47 languages in real time to surface potential misconduct. The advisory board includes a former head of the United Kingdom conduct regulator and a former United States securities prosecutor.

Last VerifiedAugust 14, 2026
Compare Umony with other vendors
Founded
2017
Headquarters
London, United Kingdom
Website
www.umony.com
Categories
compliance-and-surveillance, aml-kyc-financial-crime, capital-markets-ai
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 7 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

The monitoring layer is model work, using generative techniques to analyse communications in 47 languages in real time and surface potential misconduct as it occurs, which no rules or keyword system achieves at that breadth. Against it, two thirds of the product is infrastructure: capturing calls and messages inside carrier networks and archiving them in a form that satisfies record keeping obligations is telecom engineering and storage design, and the company sold exactly that for most of its existence before generative surveillance became the differentiator. Strip the models and a firm still has complete, defensible records, which is the harder half to build.

Autonomy and Oversight Model
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism, or full automation is presented as the entire disclosure. Human in the loop appears as a phrase rather than a described control.
Vendor Published

Detection is automated and continuous, with models identifying potential regulatory breaches in real time across every monitored channel, and the output goes to a compliance team rather than triggering action directly, which is the correct division. Nothing beyond that is described.

No confidence indication accompanies an alert, no threshold or escalation path is published, and no account is given of how a firm handles the volume that real time monitoring across 47 languages necessarily produces. That matters because an alert here is an allegation of misconduct against a named employee, and what happens between detection and investigation is the part that affects 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

No accuracy, precision or recall figure is published for the monitoring models, and 47 language coverage describes breadth rather than correctness. The unmeasured direction is the one that produced the fines this market exists to prevent, since regulators penalised firms for failing to detect and preserve, so how much misconduct the system misses is the operative number and it is absent.

The advisory board's regulatory expertise implies the approach has been scrutinised by people who have prosecuted these cases, which is assurance about judgement rather than about measured performance.

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

More than 100 international banks, hedge funds and private equity firms use the platform, alongside dozens of telecommunications providers including several of the world's largest mobile carriers, which is a second customer class most compliance vendors never reach.

The company has operated since 2017, so this is nine years of production deployment rather than recent traction, and raised a 15 million dollar Series A in September 2025 led by a European enterprise software fund with two earlier backers following on, bringing total funding above 20 million. The angel register includes the chief science officer of a leading open source artificial intelligence company.

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

No data boundary statement was located. Monitoring models improve with exposure to real misconduct, and the platform observes the internal communications of more than 100 competing institutions including hedge funds and private equity firms whose conversations contain positions, strategies and deal intentions.

Nothing states whether communications data informs models serving other customers, whether detection patterns learned at one firm transfer, or how carrier level capture separates one institution's traffic from another's within shared telecom infrastructure.

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

No data protection agreement, retention schedule, subprocessor list or deletion commitment was located, and the payload is the most comprehensive in this index. Every call, message, email and video an employee sends or receives is captured, at network level, always on, and unbypassable by design, then retained for years to satisfy record keeping rules.

That necessarily includes personal communications made on a recorded line and the other party to every conversation, who has no relationship with the firm at all. Nothing published addresses what employees are told, how private communications are separated, or what happens to a captured record when someone leaves.

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

No attestation, certification, trust centre or enumerated framework was located. More than 100 international banks and several of the world's largest mobile carriers have completed vendor assessment on this company, and carrier integration in particular requires clearing telecommunications security requirements that are among the more demanding anywhere, so the assurance exists privately. For a platform holding years of recorded employee communications, publishing that control set is what the next institutional buyer will ask for first.

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

The regulatory bench is the strongest in this index and it is a genuine asset rather than decoration. The advisory board includes a former chief executive of the United Kingdom conduct regulator who later served as chief compliance officer at a major international bank, a former director of risk at its predecessor authority, a former United States securities prosecutor and a former chief compliance officer at a large American bank, and the company describes its team as combining former regulators with technologists.

Market abuse and record keeping obligations are named as the problem domain. What holds this below the top grade is that no rule is cited: the retention and communications requirements this product exists to satisfy are specific and well known, and none appears.

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

No consumer decision applies and the adapted exposure falls on employees. Monitoring operates across 47 languages and detection quality will not be uniform across them, so staff communicating in well supported languages face different scrutiny from those using less supported ones, in either direction: over flagging where nuance is misread, or under monitoring where the model is weak.

An alert is an allegation of misconduct attached to a named individual, and one raised because a model misread idiom, code switching or a second language carries a career consequence. Nothing published describes per language accuracy, false positive rates, or how an employee contests a flag.

AI Liability and Recourse
BB on AI Liability and RecourseA published falsifiable commitment such as an accuracy figure with its method, or a real correction route for the affected person, such as step up verification instead of silent denial.
Vendor Published

No commercial guarantee was located, and the product's central design property is itself the institution's recourse. Because capture occurs in the network and cannot be altered or bypassed by a user, a firm always holds complete and defensible records, which is precisely what firms could not produce in the enforcement cases that generated more than two billion dollars in fines. That converts an evidentiary gap into an evidentiary asset.

The employee is on the other side of it entirely: comprehensively recorded, monitored in a language the model may handle poorly, and with no described route to see or contest an alert raised about them.

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

No model provider is named for the generative monitoring layer, no subprocessor list appears and no hosting arrangement is described beyond the on premise option. Telecom partners are identified by category rather than individually, which is understandable commercially and leaves a buyer unable to establish which carriers are covered in which markets, and that is the question determining whether capture actually works for a given firm's staff. The presence of a leading open source model company's chief scientist as an angel investor is suggestive rather than a disclosure.

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

Integration runs deeper than any comparable product because it operates a layer below them. Rather than capturing at the application level through connectors that depend on device settings and third party software, the platform integrates directly with cellular carriers and global telecom infrastructure across all major financial markets, so recording happens inside the network and calls and recordings are inseparable.

Application coverage sits on top of that, spanning named messaging, collaboration and mail platforms. Secure migration from a firm's legacy archive is offered, which removes the single largest obstacle to replacing an incumbent system in this category.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Third Party Estimated

An on premise configuration is published as a supported deployment alongside stated multiple deployment options, which matters for institutions whose own policies prohibit years of recorded employee communications leaving their estate, and it is an option most competitors in this category do not offer.

Held at B because no hosting provider, region selection or residency commitment is published for the hosted alternative, and carrier level capture across multiple national telecom networks raises jurisdictional questions that nothing addresses.

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

No pricing, packaging or basis of charge was located. The product divides into three suites covering capture, archive and monitoring, which are conventionally licensed separately, and the telecom operator relationship adds a further commercial layer whose economics are undescribed. Nothing indicates whether charge falls per user recorded, per minute, on storage volume or as an enterprise licence.

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

Three financial institution types are served, banks, hedge funds and private equity firms, with telecommunications operators as a distinct second buyer class and stated integration across all major financial markets. Channel coverage is complete and is the point, spanning mobile calls, text messages, chat, email, voice and video, and reaching third party platforms including messaging apps, collaboration suites and mail services, because a surveillance regime fails at whichever channel is omitted. Monitoring across 47 languages supports genuinely international deployment. The limit is functional: this is communications compliance and nothing else.

Alternatives to Umony

The closest documented capability profiles to Umony in the same categories, ordered by similarity across the same fifteen axes the index grades every vendor on. Closest documented profile, not a claim that either product does the same job. No vendor pays for placement.

Documents Autonomy and Oversight Model where Umony does not

Documents Autonomy and Oversight Model where Umony does not

Documents AI Safety and Data Stewardship and Autonomy and Oversight Model where Umony does not

Documents Autonomy and Oversight Model where Umony does not

Documents Autonomy and Oversight Model and Model Supply Chain Disclosure where Umony does not

Documents Autonomy and Oversight Model and Model Risk Management and Transparency where Umony does not

Similarity is computed axis by axis from published grades, not from a composite score. The index does not aggregate grades into a total. See the fifteen axes 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 489 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
September 5, 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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