Directory of AI marketing compliance and disclosure review vendors

The AI FinTech Index holds 8 of them, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record.

No vendor pays for inclusion, placement or rating. Counts generated 2026-10-20 across 610 indexed vendors. What moved is in the change log.

The product is a judgment about whether a piece of copy is misleading, which is inherently contestable. Ask what the reviewer sees when the model flags something, whether an override is recorded, and how the vendor evidences its false negative rate rather than its catch rate.

What is in this directory. Screened to review of outbound marketing, promotions and disclosure. Internal conduct surveillance is held separately.

Part of the wider Compliance, Surveillance & RegTech category.

What the public record shows in this directory

The share of the 8 indexed vendors here whose public record answers each of the nine regulatory questions a financial institution diligence process works through, and where this directory ranks against the other 50 directories in the index on the same question, highest share first. A thin share means the public record is thin, not that a control is absent.

how the model works and how it is validated13%
1 of 8 vendors, 48 highest of 50 directories
regulatory status and licensure88%
7 of 8 vendors, 4 highest of 50 directories
data privacy posture under GLBA25%
2 of 8 vendors, 36 highest of 50 directories
security certification depth13%
1 of 8 vendors, 45 highest of 50 directories
AI governance and bias testing13%
1 of 8 vendors, 16 highest of 50 directories
how much the system decides on its own100%
8 of 8 vendors, 6 highest of 50 directories
liability and customer recourse13%
1 of 8 vendors, 16 highest of 50 directories
which models sit underneath13%
1 of 8 vendors, 45 highest of 50 directories
deployment model and data residency13%
1 of 8 vendors, 39 highest of 50 directories
In summary

The AI FinTech Index lists 8 AI marketing compliance and disclosure review vendors, graded on 15 capability axes from public sources with no paid placement and no aggregate score. Across this directory the best documented part of the public record is how much the system decides on its own at 100 percent, and the thinnest is deployment model and data residency at 13 percent, which is 39 highest of 50 directories in the index on that question. Across the whole index of 610 vendors, none documents all nine regulatory axes in public and the average documents 3.61.

Source: AI FinTech Index, August 2026

Vendors in this directory
8 indexed
Vendor Category AI Centrality Website
A
Adclear
Adclear reviews financial promotions for regulatory compliance before they go live and monitors them once published, replacing a manual approval loop that ran in days with feedback in seconds. Marketing teams at banks, insurers, investment and trading platforms, credit providers and crypto exchanges run social imagery, video, email, articles, paid advertising, websites and product screens through the platform, which checks them against the firm's own policy rules alongside the regimes it has mapped, and points to precisely where content falls short rather than returning a verdict. Coverage spans more than 100 regulatory bodies across the United Kingdom, Europe, the United States and beyond. Post publication monitoring extends to affiliates, partners and finfluencers, and every review produces an audit trail.
Compliance, Surveillance & RegTech A adclear.ai
B
bethebrand
bethebrand sells marketing compliance software to UK financial services firms. Marketing and compliance teams at insurers, building societies, banks and wealth managers use it to store approved assets, route promotions through approval and keep a permanent audit trail of every version, comment and sign off. Its AI sits in SeeDynamic, a content checker that runs before a promotion reaches compliance. Fixed rules catch the explicit problems, such as barred words, missing risk warnings and poor readability. AI enabled rules, added in September 2026, catch the contextual ones: comparative or unsupported claims, ambiguous wording, undefined terms and contradictions. Each issue is flagged inside the document with the reason and a suggested fix, and a compliance report stays attached to the asset. Teams can also write a new rule in plain English. SeeDynamic runs on its own through a public API or inside the bethebrand platform. The company has served regulated marketing teams for more than 20 years and has been owned by Software Circle plc since 2024. Named clients include Coventry Building Society, Just Group, Kensington Mortgages and The Cambridge Building Society.
Compliance, Surveillance & RegTech C bethebrand.com
B
Blee
Blee reviews marketing, product and sales content for regulatory risk before it reaches consumers, and is built to sit on top of the stack a marketing team already uses rather than replace it. Content is screened against a configurable framework covering the Securities and Exchange Commission and Financial Industry Regulatory Authority rules, Federal Trade Commission advertising standards, the insurance advertising requirements of all fifty state departments, accessibility requirements under the Americans with Disabilities Act, and the advertising policies of the major distribution platforms, which are not law but gate whether a campaign runs at all. A legal engineering team maintains those rules centrally. The distinguishing architectural claim is that each customer receives its own model, trained on that firm's policies, guidelines and risk tolerance, rather than sharing one detector across the client base. Flags carry through configurable approval flows into an audit trail built for examination. Integration is the other half of the design: reviews run where the work happens, across project tools including Jira, Asana, Workfront and Salesforce, creation tools including Figma and Google Docs, and storage in Google Drive and Dropbox, with files staying in the customer's own systems. Blee was founded in 2022 in New York by chief executive Guy Shahar, went through the Y Combinator winter 2023 program, and runs with roughly two dozen staff. Named customers include Rocket Mortgage, NerdWallet, Marqeta, Betterment, Greenlight, Public and PayPal.
Compliance, Surveillance & RegTech A blee.com
F
Finspector
Finspector reviews financial promotions for regulatory risk and then keeps watching them once they are live. Content is uploaded or a social handle is entered, and the models inspect text, video and audio across email campaigns, blogs, brochures, social posts, influencer content and sales calls, returning flagged risks with suggestions into a shared dashboard where marketing and compliance work the same queue. Social monitoring runs continuously over profiles on X, Instagram and TikTok and will read back through post history, which is how a firm checks the finfluencers and partners promoting on its behalf rather than only its own output. Firms plug in their own checklists or start from supplied templates, so the checks encode that firm's policies, and a feedback mechanism lets a compliance manager mark where the model was wrong so the checks adapt to the firm's risk appetite over time. Every interaction is logged for audit. The company positions explicitly against general purpose assistants on the ground that they cannot handle video or audio and were not built for financial promotion rules, and names the specific risks it screens for, including mis selling, greenwashing and inadvertently straying into regulated financial advice. Finspector was incorporated in March 2025 in the United Kingdom, sells mainly to small and medium sized regulated firms across banking, insurance, wealth management and fintech, and came out of a Scottish financial regulation innovation program. Its stated case is the Financial Conduct Authority intervening in nearly twenty thousand promotions in 2024, roughly double the prior year.
Compliance, Surveillance & RegTech A finspector.ai
L
Luthor
Luthor reviews regulated marketing before it goes live and describes itself as an artificial intelligence native compliance firm rather than a pure software vendor. Teams upload content or connect their channels, and proprietary large language models trained on regulatory data check every claim against federal, state and international rules alongside the firm's own policies and approved sources, flagging unapproved guarantees, missing disclosures and legally risky statements. Coverage spans the Securities and Exchange Commission marketing rule, Financial Industry Regulatory Authority advertising rules, Federal Trade Commission standards, the prohibition on unfair, deceptive or abusive acts and practices, Regulation Z, state rules and mortgage licensing requirements. Everything lands in one place for review, approval and audit. The distinguishing element is the second tier: on demand access to former securities regulators, examiners and compliance officers who validate complex cases, so the model handles volume and named human experts handle judgment. Scanning runs across websites, emails and social content in real time and is designed to sit inside existing marketing workflows rather than as a separate application to remember to open. A published trust center states independent auditing with regular penetration testing, 256 bit encryption at rest, current transport layer security in transit, data privacy controls and portability, and immutable record retention for regulatory archival. Luthor was founded in 2024 by Glenn and John Espinosa, went through Y Combinator, and is live with financial services firms, mortgage lenders, banks, credit unions, marketing agencies and venture firms whose assets under management the company states exceed $850 billion.
Compliance, Surveillance & RegTech A luthor.ai
P
PerformLine
PerformLine runs marketing compliance oversight across every channel a regulated brand speaks through, covering both halves of the lifecycle in one platform: automated review and scoring of assets before publication, then continuous discovery and monitoring after launch across web pages, social posts, emails, phone calls, text and chat messages. Its proprietary rulebooks encode the consumer finance regimes that govern that content, including the Truth in Lending Act, Regulation Z, fair lending rules and the prohibition on unfair, deceptive or abusive acts and practices, and flags carry through structured remediation workflows that leave an auditable record. A large part of the value is oversight of parties the institution does not employ: the platform discovers unknown pages, posts and emails published by affiliates and partners, and scores customer facing messages sent by agents on the brand's behalf, which is how banks supervise fintech partner programs at scale. In May 2026 the company added AI Response Monitor, which runs daily automated evaluations of what conversational artificial intelligence platforms tell consumers about a brand, its products and its competitors, scoring those answers against the institution's own brand guidelines, product terms and disclosure requirements. PerformLine was founded in 2007 in Morristown, New Jersey by Alex Baydin, who led it for eighteen years and moved to the board in January 2026 when Chris Calhoun became chief executive alongside additional investment from the growth investor M33 Growth. The company has roughly 85 staff and states that six of the ten largest United States banks are clients.
Compliance, Surveillance & RegTech B performline.com
R
Red Oak Compliance Solutions
Red Oak Compliance Solutions sells advertising and marketing review software to registered investment advisers, broker dealers, asset managers and insurers, and has done so since 2010. The Compliance Connectivity Platform runs the full path a piece of regulated marketing takes: content creation, review and approval, distribution to advisers through its 4U platform, and communications supervision, with adjacent modules for disclosure management, registration and licensing, complaint management and branch examinations. Records are held to the write once read many standard the Securities and Exchange Commission requires, and a direct integration carries filings through to the Financial Industry Regulatory Authority, where customers made more than fifteen thousand submissions in a single year across roughly 6.7 million documents reviewed. The models sit on top of a configurable rules engine rather than underneath the platform. Smart Review flags potentially missed disclosures before a piece goes for final compliance review, more than eight hundred thousand of them in one year, and the AI Review module launched in January 2025 applies large language models steered by prompts written to each firm's own policies, with the vendor stressing that no model training or retraining is required. Published averages are 35 percent faster approvals and 70 percent fewer touches per review. The company was founded in Austin, Texas by Stephen Pope, Cathy Vasilev and Rick Grashel, is backed by Mainsail Partners, and states more than 1,800 client firms ranging from single state advisers to over half of the twenty largest global asset managers. On 26 July 2026 it combined with MirrorWeb, a fellow Mainsail portfolio company, under the Red Oak name, with MirrorWeb's Romir Bosu as chief executive of the combined business, which is reported to serve more than 1,550 regulated firms including seventeen of the twenty largest asset managers.
Compliance, Surveillance & RegTech C redoak.com
S
Saifr
Saifr sells AI models that read marketing and communications material and flag regulatory and brand risk before it is published. Created inside Fidelity Labs in 2020 and launched commercially in 2022, Saifr is a subsidiary of FMR, the parent of Fidelity Investments, and its models are trained on proprietary, synthetic and other data reviewed by subject matter experts, drawing on its parent's compliance operation. SaifrReview covers marketing compliance review for financial services, banking, and life insurance and annuity providers, with alerting built on Financial Industry Regulatory Authority rule 2210, the Securities and Exchange Commission marketing rule and the National Association of Insurance Commissioners model advertising laws; it identifies missing disclosures and suggests alternative wording. SaifrScreen handles adverse media and sanctions screening for anti money laundering and know your customer programs, and Saifr eComms covers electronic communications surveillance. Select models and an agent are published in the Microsoft Azure AI Foundry model catalog, agents run inside Adobe GenStudio for Performance Marketing, and Saifr is a ServiceNow build partner. Nasdaq is quoted as a customer. Saifr is based in Boston and led by cofounder and chief executive Vall Herard.
Compliance, Surveillance & RegTech A saifr.ai

Common questions

Is there a directory of AI marketing compliance and disclosure review vendors?

Yes. The AI FinTech Index lists 8 AI marketing compliance and disclosure review vendors, each graded on the same 15 capability axes from public sources, with the artifact every grade was read from attached to the record. No vendor pays for inclusion, placement or rating, no vendor is contacted before it is listed, and nothing sits behind a form. Counts generated 2026-10-20.

What counts as marketing and disclosure review in this directory?

Screened to review of outbound marketing, promotions and disclosure. Internal conduct surveillance is held separately. The index holds 8 vendors meeting that screen, drawn from a wider Compliance, Surveillance & RegTech category and from adjacent categories where the vendor belongs on the same shortlist. A vendor filed under a different category can still appear here, because a buyer building this shortlist does not sort by our filing.

What should a buyer check before shortlisting marketing and disclosure review vendors?

Start with what this segment does not publish. Across the 8 indexed vendors, the thinnest parts of the public record are deployment model and data residency at 13 percent, which models sit underneath at 13 percent, and liability and customer recourse at 13 percent. A thin public record predicts the length of a diligence process rather than the absence of a control, so these are the questions to put in writing early. The product is a judgment about whether a piece of copy is misleading, which is inherently contestable. Ask what the reviewer sees when the model flags something, whether an override is recorded, and how the vendor evidences its false negative rate rather than its catch rate.

Head to Head

Comparisons inside this directory

3 published

Other directories in Compliance, Surveillance & RegTech

One category is several buying decisions sharing a label. Each of these narrows the same market to a different one.

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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.
© 2026 AI FinTech Index
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