
Steward
AI-first AML platform automating complex investor onboarding and ongoing monitoring for the financial industry.
About
Steward is an AI-first Anti-Money Laundering (AML) platform designed to automate and streamline complex investor onboarding and ongoing monitoring processes within the financial industry. The platform addresses inefficiencies caused by sophisticated investor structures, layered ownership, and cross-border complexities, which often lead to manual reviews and delays. Steward integrates document collection, screening, risk assessment, and ongoing reviews into a unified system, leveraging AI to interpret intricate ownership structures.
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Key facts
- Website
- getsteward.ai
- Headquarters
- New York, USA and London, UK
- Founded
- 2024
- Total funding
- $5M (Unknown)
- Business model
- B2B
Funding rounds
| Date | Round | Amount | Lead investors |
|---|---|---|---|
| 17 Mar 2026 | Undisclosed round | $5M | Motive Partners |
Tech stack
Detected on getsteward.ai, last scanned 2 Nov 2026. Run your own scan
- Compliance
- SOC 2, ISO 27001, GDPR
- Frontend
- Astro, Tailwind CSS
- Auth
- Auth0
- CDN
- AWS CloudFront
- Hosting
- AWS
- Email provider
- Google Workspace
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Frequently asked
What does Steward do?
It also facilitates the creation and secure sharing of Investor Profiles for more efficient compliance data exchange. The company aims to reduce onboarding times and remediation cycles, enabling same-day onboarding in 80% of cases.
Is Steward trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Steward is 90 out of 100, a trusted rating, based on site security posture, privacy practices, malware and phishing checks, and public reputation signals.
How much funding has Steward raised?
Steward has raised a total of $5M in funding. The most recent round on record is Unknown.
SEC filings, insider activity, nonprofit links and pay benchmarks for Steward:
Company details: from public sources. Funding: no announced round on file. Ownership: not yet claimed by the company. Scores: measured by named tools; each links to its method. Our rules


