Marble

AI-powered fraud and AML automation platform for banks, fintechs, and crypto exchanges.

Cover Block

From the public record

Field	Value
Name	Marble
Tagline	AI-powered fraud and AML automation platform for banks, fintechs, and crypto exchanges
Headquarters	Paris, France [The Next Web, September 2026]
Founded	2021 [Crunchbase]
Stage	Series A [The Next Web, September 2026]
Business model	SaaS [checkmarble.com, retrieved 2024]
Industry	Fintech [The Next Web, September 2026]
Technology	AI / Machine Learning [The Next Web, September 2026]
Geography	Western Europe [The Next Web, September 2026]
Growth profile	Venture Scale [The Next Web, September 2026]
Founding team	Co-Founders (2), Arnaud Schwartz and Pascal Delange [FinTech Global, September 2026]
Funding label	Series A, total disclosed €9 million [finsmes.com, October 2026]

The Short Version

PUBLIC Marble sells fraud detection and anti-money-laundering software to banks, fintechs, payment providers, and crypto exchanges, and it merits investor attention now because the company has paired a fresh Series A with reported production use at more than 100 institutions across 25 countries, a meaningful signal in a category where pilot activity often outpaces live deployment [The Next Web, September 2026] [Fintech Garden, September 2026]. Founded in Paris in 2021, Marble is building around the combined FRAML workflow, joining fraud monitoring and AML compliance in one system rather than treating them as separate point tools, according to company materials and recent funding coverage [checkmarble.com, retrieved 2024] [EU-Startups, September 2026] [Fintech Garden, September 2026].

The product appears to center on configurable detection rules, alert triage, screening, and investigation workflows, with AI assistance positioned around routine compliance operations; the practical differentiation is less about a novel model layer and more about giving risk teams control over rules and case handling without relying on long IT cycles [The Next Web, September 2026] [checkmarble.com, retrieved 2026] [Fintech Garden, September 2026]. That framing is helped by deployment flexibility, with sources describing both hosted and customer-managed options, which can matter for regulated buyers with stricter infrastructure requirements [checkmarble.com, retrieved 2024] [Fintech Garden, September 2026].

The founding team is relevant to the problem set. Co-founder and CEO Arnaud Schwartz previously served as COO at Shine, and co-founder Pascal Delange held senior engineering and data roles there, giving Marble operators with direct exposure to compliance-heavy fintech environments rather than purely theoretical domain knowledge [FinTech Global, September 2026] [me.sh, retrieved 2026] [Fintech Garden, September 2026].

On financing, Marble announced a €6.5 million Series A in September 2026 led by Smartfin, with participation from ADNEXUS and existing investors including Passion Capital, 42Capital, and Hexa; multiple outlets report total funding at €9 million [The Next Web, September 2026] [finsmes.com, October 2026] [startup.eu, September 2026]. The business model is SaaS, but the next 12 to 18 months will likely hinge on whether Marble can turn early geographic breadth into deeper enterprise penetration, prove that AI-driven investigation tooling improves compliance productivity in production, and hold differentiation as larger financial crime vendors continue to widen their own fraud-plus-AML product scope [The Next Web, September 2026] [crowdfundinsider.com, September 2026].

Single-source, plausible -- Material claims rely on one to two independent public reports plus company materials; funding is well corroborated, while product specifics remain partly company-described.

Taxonomy Snapshot

Axis	Value
Stage	Series A
Business Model	SaaS
Industry / Vertical	Fintech
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Co-Founders (2)
Funding	€9 million total disclosed [The Next Web, September 2026] [finsmes.com, October 2026]

The Company in Brief

PUBLIC Marble is a Paris-based company founded in 2021, focused on software for fraud detection and anti-money-laundering compliance in financial services [checkmarble.com, retrieved 2024] [Crunchbase]. Public company materials position the product for banks, fintechs, payment providers, and crypto exchanges, with deployment available as either SaaS or on-premise, which suggests the company is selling into regulated buyers that care about workflow control and implementation flexibility [checkmarble.com, retrieved 2024] [docs.checkmarble.com, retrieved 2024].

The public record is still fairly lean on corporate formation detail, and the available sources in scope here do not establish a legal entity name or filing history. What is clearer is the operating arc: Marble appears to have started with transaction monitoring and AML screening workflows on its website and documentation, then broadened its public product surface to include investigations and case management by 2024, indicating a company that was already trying to cover more of the compliance operating stack rather than a single-point tool [checkmarble.com, retrieved 2024] [docs.checkmarble.com, retrieved 2024] [Crunchbase].

Single-source, plausible -- Confirmed primarily by company website and documentation, with Crunchbase used for partial corroboration.

What They Have Built

MIXED

Marble is positioned around a practical problem rather than a model claim: giving risk and compliance teams a way to build monitoring logic, review alerts, and move investigations forward without relying on long internal IT cycles. Public descriptions are reasonably consistent on the core workflow. The company says users can create no-code transaction monitoring rules, run AML screening, and manage investigations through a unified case workflow [checkmarble.com, retrieved 2024]. Third-party coverage adds that the product emphasizes configurable detection rules, alert triage, and investigation preparation, and that it is aimed at the combined fraud and AML workload now often referred to as FRAML [The Next Web, September 2026] [Fintech Garden, September 2026] [EU-Startups, September 2026].

The deployment story also matters here because Marble appears to be selling into regulated institutions that care about control and implementation flexibility. Company materials state that the platform is available as SaaS or on-premise, while external coverage similarly reports that customers can deploy it on their own servers or consume it as a hosted service [checkmarble.com, retrieved 2024] [Fintech Garden, September 2026]. On the feature surface, Marble says it supports customer and company screening against sanctions, PEP, and adverse media lists, continuous monitoring, AI-powered alerts, and an investigation suite for exploring and annotating cases [checkmarble.com, retrieved 2024] [GitHub, retrieved 2026]. Press coverage suggests the product has expanded from a narrower detection tool into a broader fraud and compliance stack with AI assistance for routine casework, which, if borne out in customer references, would make the product more system-of-record than point solution [crowdfundinsider.com, September 2026].

The main caution is evidentiary, not conceptual. Several of the most detailed product assertions come from Marble's own website and documentation, so the existence of these capabilities is better supported than their depth, adoption, or performance in production [checkmarble.com, retrieved 2024] [docs.checkmarble.com, retrieved 2024]. Public evidence does support the broad shape of the platform and the no-code plus configurable positioning, but it does not establish technical architecture, model provenance, false-positive reduction, or quantified workflow gains.

Single-source, plausible -- Product scope is corroborated by Marble's website and documentation, with partial support from The Next Web, Fintech Garden, and EU-Startups.

Market Size and Demand

PUBLIC

The market matters now because fraud operations and AML compliance are being pushed together by product complexity, cross-border payments growth, and tighter regulatory expectations, while many financial institutions still run fragmented tooling and labor-heavy review workflows [The Next Web, September 2026] [Fintech Garden, September 2026].

Public evidence on formal market size for Marble’s exact category is thin in the supplied record, so the cleaner way to frame demand is by workload convergence rather than by a hard TAM claim. Multiple reports describe Marble as targeting FRAML, the combined operating burden of fraud detection and AML/CFT compliance, for fintechs and financial institutions [EU-Startups, September 2026] [Fintech Garden, September 2026]. That framing matters because the buyer is not shopping for a single point feature so much as trying to reduce alert volume, investigation time, and engineering dependency across adjacent control layers, according to those same reports [Fintech Garden, September 2026] [The Next Web, September 2026].

The near-term demand drivers in the record are operational rather than purely strategic. Marble is described as giving risk and compliance teams the ability to create, test, and launch detection rules without waiting for IT projects, and its product scope has reportedly expanded from detection into investigations and AI-assisted casework [Fintech Garden, September 2026] [crowdfundinsider.com, September 2026]. That suggests a market where speed of policy iteration and analyst productivity are becoming purchasing criteria alongside baseline screening and monitoring, particularly for mid-market institutions that may lack the internal engineering budget to assemble a full stack from separate vendors [The Next Web, September 2026].

Adjacent markets also shape the opportunity set. Marble’s public positioning spans banks, fintechs, payment providers, and crypto exchanges, which places it at the intersection of transaction monitoring, sanctions and PEP screening, case management, and fraud operations rather than inside a narrow AML-only category [checkmarble.com, retrieved 2024] [GitHub, retrieved 2026]. The substitute set is therefore broader than direct FRAML vendors alone: an institution could stitch together rules engines, watchlist screening, and investigations tools from multiple providers, or keep some of that work in-house if product complexity is lower and regulatory scope is narrower [The Next Web, September 2026] [checkmarble.com, retrieved 2024].

Regulation and macro conditions are present in the background even where the supplied sources do not quantify them. The company is consistently described as serving regulated financial institutions and helping them meet fraud, AML, and counter-terrorist-financing obligations, including for cross-border and crypto-adjacent use cases [The Next Web, September 2026] [EU-Startups, September 2026] [checkmarble.com, retrieved 2026]. In practical terms, that usually favors software that can be configured quickly, deployed in hosted or customer-managed environments, and updated continuously as monitoring requirements change, which aligns with Marble’s reported deployment options and workflow positioning [Fintech Garden, September 2026] [checkmarble.com, retrieved 2024].

Cited market signal	Figure	Relevance to demand
Institutions using Marble in production	100+	Indicates live demand for FRAML workflow consolidation across regulated customers [Fintech Garden, September 2026]
Countries with production deployments	25+	Suggests cross-border applicability, which tends to increase screening and monitoring complexity [Fintech Garden, September 2026]
Total funding raised by Marble	€9M	Shows investor appetite for the category, though not market size by itself [finsmes.com, October 2026]

The table does not size the category, but it does show the shape of the market Marble is pursuing: distributed compliance demand across many jurisdictions, with enough complexity to support a multi-product workflow layer. The main limitation is that the supplied evidence supports category relevance more clearly than it supports a third-party TAM model.

Single-source, plausible -- Section relies on named publisher coverage and company materials for category framing, but no third-party market sizing report for Marble's exact segment is present in the supplied sources.

Who Else Is Fighting for This

Competitive positioning

MIXED Marble is positioning itself less as a point tool for sanctions screening or identity checks, and more as a configurable FRAML workflow layer for regulated financial institutions that want fraud monitoring, AML controls, and investigations to sit in one operating stack [The Next Web, September 2026] [Fintech Garden, September 2026] [checkmarble.com, retrieved 2026].

Company	Positioning	Stage / Funding	Notable Differentiator	Source
Marble	FRAML platform for banks, fintechs, payment providers, and crypto exchanges	Series A, total funding reported at €9M	Configurable no-code detection rules, investigation workflows, and SaaS or on-premise deployment	[The Next Web, September 2026] [finsmes.com, October 2026] [Fintech Garden, September 2026] [checkmarble.com, retrieved 2024]
AML Watcher	AML screening and monitoring vendor	Not established in provided sources	Named competitor in the AML tooling set	[Structured Facts]
iDenfy	Identity verification and compliance vendor	Not established in provided sources	Named competitor in onboarding and compliance infrastructure	[Structured Facts]
KYC Portal	KYC and AML workflow software vendor	Not established in provided sources	Named competitor in compliance case management and onboarding	[Structured Facts]
Token of Trust	Identity and trust infrastructure vendor	Not established in provided sources	Named competitor in fraud and identity verification workflows	[Structured Facts]
Binderr	Compliance and onboarding software vendor	Not established in provided sources	Named competitor in business verification and compliance operations	[Structured Facts]

The field breaks into three practical groups. First are incumbent compliance platforms that sell screening, transaction monitoring, and case management into regulated institutions, often with longer implementation cycles and heavier services layers. Second are challengers such as Marble that appear to be selling configurability and faster rule changes as the wedge, especially for mid-market institutions that cannot afford to wait on internal engineering queues [The Next Web, September 2026] [Fintech Garden, September 2026].

Marble's clearest edge today is product architecture rather than distribution scale. Public reporting consistently points to no-code rule creation, alert triage, and investigation preparation, with deployment either as hosted software or on a customer's own servers, which matters for institutions that are sensitive to data residency, internal control, or integration constraints [The Next Web, September 2026] [Fintech Garden, September 2026] [checkmarble.com, retrieved 2024]. The team also has category-adjacent operating credibility through Shine, where Arnaud Schwartz served as COO and Pascal Delange held senior engineering roles, a background that likely helps with product design for compliance teams inside European fintechs [FinTech Global, September 2026] [me.sh, retrieved 2026]. That edge is useful, but still somewhat perishable. Configurability can compress into table stakes if larger vendors ship similar workflow layers, and founder-market fit is not the same thing as owning a proprietary dataset or a locked distribution channel.

The exposure is equally plain. Marble's reported scale, more than 100 institutions across 25 countries, suggests early commercial validation, but it does not yet imply category leadership against established AML and KYC vendors with broader installed bases, deeper partner ecosystems, or stronger ownership of the identity-checking layer [Fintech Garden, September 2026] [FinTech Global, September 2026]. Marble also does not appear, from the public record provided here, to own a proprietary distribution channel such as a core-banking partnership or an exchange-native network, which makes competitive displacement depend heavily on direct sales execution.

The most plausible 18-month scenario is a sorting of the market by buyer complexity rather than one company taking the whole category. Marble is the likely winner if mid-market European banks, fintechs, and crypto platforms continue consolidating fraud and AML operations into one workflow stack and prioritize local configurability over global vendor breadth, because that matches the product story described in recent coverage [The Next Web, September 2026] [EU-Startups, September 2026] [Fintech Garden, September 2026]. The reverse also holds.

Inferred, not confirmed -- This section combines corroborated public reporting on Marble from The Next Web, FinTech Global, Fintech Garden, finsmes.com, me.sh,

Opportunity

PUBLIC The prize here is unusually large if Marble can become the control layer that regulated financial institutions use to manage fraud and AML work in one system, because those workflows sit close to the core of onboarding, payments, and account monitoring rather than at the edge of IT spend [The Next Web, September 2026] [Fintech Garden, September 2026].

The headline opportunity is not simply to sell another compliance tool. It is to become the default FRAML infrastructure for mid-market banks, fintechs, payment providers, and crypto exchanges that need configurable controls without long internal build cycles [The Next Web, September 2026] [EU-Startups, September 2026] [Fintech Garden, September 2026]. That outcome looks reachable, not just aspirational, because the company is already reported to be in production at more than 100 institutions across more than 25 countries, which suggests Marble has crossed the harder step from pilot interest to live operational use [Fintech Garden, September 2026] [The Next Web, September 2026]. The product scope also appears to be widening in the right direction, from detection into investigations and AI-assisted casework, which matters because financial crime teams usually prefer fewer systems of record once workflows become embedded [crowdfundinsider.com, September 2026] [checkmarble.com, retrieved 2026] [GitHub].

The most credible upside paths center on distribution inside regulated operators that need flexibility, faster rule deployment, and a combined fraud-plus-AML operating model.

Scenario	What happens	Catalyst	Why it's plausible
FRAML system of record	Marble becomes the primary workflow layer for fraud detection, AML screening, alert triage, and investigations for mid-market financial institutions across Europe	Continued regulatory pressure to unify fraud and AML operations, plus demand for configurable workflows that compliance teams can modify without large IT projects [Fintech Garden, September 2026]	Marble already targets FRAML and is reported to let risk and compliance teams create, test, and launch rules independently, with 100+ institutions already live in production [Fintech Garden, September 2026] [The Next Web, September 2026]
Embedded infrastructure for fintechs and BaaS providers	Marble wins as the underlying compliance stack for neobanks, payment platforms, and BaaS providers that need deployment flexibility and faster launches	More fintechs choosing buy-over-build for transaction monitoring, screening, and investigations, especially where on-premise or customer-hosted deployment is required [checkmarble.com, retrieved 2026] [Fintech Garden, September 2026]	The product is described as available as hosted software or on customer servers, and the company explicitly serves fintechs, payment providers, and crypto exchanges alongside banks [checkmarble.com, retrieved 2024] [Fintech Garden, September 2026]
AI casework automation layer	Marble captures a larger share of compliance budgets by automating routine investigations and analyst preparation work	Successful adoption of AI agents for repetitive compliance workflows, where the ROI is measured in analyst time saved and faster alert handling [The Next Web, September 2026]	Multiple sources describe AI agents, investigation preparation, and AI-assisted routine casework as part of the platform's direction, suggesting an expansion path beyond rules engines into labor substitution [The Next Web, September 2026] [crowdfundinsider.com, September 2026]

What compounding looks like is fairly straightforward. Each new production customer adds more rule configurations, more alert-handling workflows, and more investigation processes inside the product, which can make Marble harder to replace over time if teams build operating habits around its case management and monitoring stack [GitHub] [Fintech Garden, September 2026]. The no-code rule creation angle matters here because it shortens the distance between a new risk pattern and a live control, and that can improve product stickiness when compliance teams do not need to queue behind engineering for every rules change [Fintech Garden, September 2026].

There is also a second layer of compounding if the company can keep unifying adjacent tasks. Screening, transaction monitoring, and investigations are often budgeted separately, but operationally they connect to the same analysts and case queues. A vendor that starts in detection and moves into investigation workflow and AI assistance can expand account value while reducing the number of tools a customer needs to operate, which is one of the cleaner paths from departmental software to infrastructure software [crowdfundinsider.com, September 2026] [checkmarble.com, retrieved 2026]. The early signal is not revenue disclosure, which is absent from the public record here, but breadth of live deployment across more than 100 institutions and 25 countries, which indicates the product already travels across multiple regulatory and operating contexts [Fintech Garden, September 2026] [The Next Web, September 2026].

The size of the win is harder to pin down with precision because the source set here does not include a cited market-size study or a directly comparable public company multiple for this exact FRAML segment. Even so, one scenario is clear enough to frame: if Marble becomes a leading European operating system for fraud and AML workflows across banks, fintechs, and crypto platforms, the outcome would likely resemble an infrastructure-scale compliance software asset rather than a point-solution vendor (scenario, not a forecast) [The Next Web, September 2026] [Fintech Garden, September 2026]. The ingredients that support that ambition are visible in the record: a founder pair with prior operating experience at Shine, a Smartfin-led Series A, and evidence of international production use at meaningful customer count even at an early stage [FinTech Global, September 2026] [The Next Web, September 2026] [TechCrunch, November 2023]. That does not establish category leadership. It does establish a plausible path to it.

Single-source, plausible -- This section relies on one company source for some product capability details and multiple independent September to October 2026 publications for funding, positioning, and reported production deployment.

Sources