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Eliot AI

Entrepreneur First '26

New York, US · Founded 2026 · 1 known investors

meeteliot.com

Eliot builds AI agents that automate manual compliance work across AML, KYC, and KYB onboarding for regulated financial firms such as banks. The platform handles entity verification, screening and monitoring, enhanced due diligence investigations, and periodic client reviews so analysts can focus on risk decisions.

Also known as Eliot

AI & Machine LearningEnterprise SoftwareFintechLegalTech

Founders & leadership

Eliot AI was founded in 2026 by Aiden Dawes, Damian Stone, and Lee Forsyth.

ADAiden Dawes
Aiden DawesinCo-Founder & CEOAiden Dawes is a co-founder of Companies Graph, a KYC product with over 1,000 users, and has carried out machine learning research with the University of Oxford. He also delivered AI agents for EY within six weeks, producing annual savings of about $500K.
DSDamian Stone
Damian StoneinCo-Founder & CTODamian Stone exited his first company at 19 and went on to serve as founding AI engineer at Xpendit, a LatAm spend-management platform serving enterprises including Nike and Coca-Cola. At the $3B+ wealth management firm Addepar, he worked on evaluations and ETL agents, using financial agents to onboard more than $5B in assets to the platform over three months.
LFLee Forsyth
Lee ForsythinCo-Founder & COO Eliot AILee Forsyth has spent more than three decades leading financial crime transformation programs and large-scale technology rollouts at global banks and fintech companies. His past employers include Merrill Lynch, Goldman Sachs, Thomson Reuters, and Exiger.

Investors · 1

Company profile

researched Aug 2026

Eliot AI markets an AI platform for regulated financial firms that automates manual work across AML, KYC and back-office compliance. According to the company's website, its agents ingest a firm's internal policies and standard operating procedures and apply them consistently across jurisdictions, handling foundational tasks such as gathering information, reviewing documentation and applying policy, while human analysts retain responsibility for risk decisions, escalation and quality control.

The product spans several workflow areas: KYB onboarding (verifying entity information against public registries, internal data and client-provided documents, and analysing corporate structures); screening and monitoring (adverse media, news, social media, watchlists and PEP checks against global databases); enhanced due diligence investigations conducted in an analyst workspace using web browser agents for web data extraction and document analysis; and periodic client reviews in which agents flag material changes and update risk profiles according to the firm's policies and risk appetite. The site also lists use cases including straight-through processing, sanctions screening, regulatory reporting, policy governance, SAR filing, SOP gap analysis and escalation reports, and references regulators such as the FCA, FinCEN, MAS and APRA as part of the data and rules context in which the system operates.

Eliot positions itself as a layer that sits alongside existing case management and client lifecycle management systems, pulling data from internal APIs and analysing large volumes of documents to surface outstanding information requests. The company describes itself as founded by technology and compliance industry leaders and supported by AI labs and investors, and it is listed in the Entrepreneurs First portfolio directory.

Business model

Eliot sells software to regulated financial institutions and compliance teams; the website's calls to action are demo requests and hands-on engagements in which Eliot maps a customer's workflows and configures the product around their existing process and stack. Specific pricing or contract structures are not disclosed in the sources.

Traction

Public sources provide limited traction detail. The company is listed in the Entrepreneurs First portfolio directory, and its site states it is supported by AI labs and investors, but no customer counts, revenue or usage figures are disclosed publicly.

Latest developments

The company website is live and soliciting demos, describing available product modules across KYB onboarding, screening and monitoring, EDD investigations and periodic reviews, along with SOC 2 Type II and GDPR posture and single-tenant/self-hosted deployment options.

Full profile — market position, technology, go-to-market, geography, risks & controversies

Market position

Eliot presents itself as an AI automation layer for financial-crime compliance operations, complementing rather than replacing incumbent case management and client lifecycle management infrastructure. Sources do not provide market share, ranking or competitor comparison data.

Stated differentiators include policy- and SOP-driven agents that enforce a firm's own playbook across jurisdictions, an analyst workspace for deep investigations using browser agents, model-agnostic architecture with zero data retention, single-tenant or self-hosted deployment, and SOC 2 Type II and GDPR compliance. The company also highlights compliance-industry leadership on its team, including Lee Forsyth, described as former Global Head of KYC Operations with experience at Goldman Sachs, Nomura and Thomson Reuters.

Technology

The website describes AI agents that ingest internal policies and SOPs and apply them to compliance casework, web browser agents used for web data extraction, document analysis at scale, and integration with internal APIs, public registries and existing case management systems. Eliot states it is model agnostic, works with multiple model providers with zero data retention, and benchmarks models on an ongoing basis. Deployment options include a single-tenant private instance in Eliot's AWS cloud by default or self-hosting in the customer's own cloud. The company cites SOC 2 Type II and GDPR compliance.

Go-to-market

Direct enterprise sales driven from the website via demo requests, with hands-on discovery in which Eliot works with compliance teams to map real workflows and adapt the product to their processes.

Regulated financial firms and their compliance functions — including banks and other institutions subject to FCA, FinCEN, MAS and APRA-type supervision — with users spanning risk analysts, escalation managers and QC/QA teams.

Geography

The company references multi-jurisdictional compliance coverage and regulators including the FCA (UK), FinCEN (US), MAS (Singapore) and APRA (Australia). Entrepreneurs First's portfolio directory, in which Eliot AI appears, covers locations including New York and London.

Risks & controversies

No controversies involving this company appear in the sources. Note that several similarly named entities exist and are unrelated: Eliot AI, a Unity game-AI asset by Dan Shevchuk; a GitHub account for Eliot LLC (eliotai.com) publishing newsletter analyses; and Elliot, a shut-down e-commerce platform founded by Sergio Villaseñor.

Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.

Key figures

latest reported
Commercial clients lost by banks during onboarding (market claim)Jan 202610-20%

Company-reported or press-reported figures, each dated to when it was claimed — not independently audited.

Research sources · 8

primary sources listed

8 public sources were cited for this profile; the first-party ones are listed here.

Frequently asked questions

What does Eliot AI do?
Eliot AI builds AI agents that automate AML, KYC and KYB compliance work for regulated financial firms.
Who founded Eliot AI?
Eliot AI was founded by Aiden Dawes, Damian Stone, Lee Forsyth in 2026.
Who are Eliot AI's investors?
Eliot AI's investors include Entrepreneur First.
Where is Eliot AI headquartered?
Eliot AI is headquartered in New York, US.