Steward is an AI-first AML and compliance platform built for complex investor onboarding and ongoing monitoring. It automates AML and KYC workflows, including document collection, screening, risk assessment, and ongoing reviews, to improve efficiency across financial institutions.
Investment Rounds
Capital activity and funding progression
| Amount | Date | Round |
|---|---|---|
| $5 M | Mar, 2026 | unspecified |
Industries
Frequently Asked Questions
Where is Steward located?
Steward is located in London, United Kingdom.
What industries does Steward operate in?
Steward operates in the following industries: fintech, regtech, compliance, artificial intelligence.
How much total funding has Steward raised?
Steward has raised a total of $5,000,000.
Who are the investors in Steward?
The investors in Steward are: Unknown, Shai Wininger, Mark Ransford, Tom Keiser, Remy Astié, Ulric Musset, Mushegh Tovmasyan, Keith Grose.
Who are the founders of Steward?
The founders of Steward are: Unknown.
What is Steward?
Steward is an AI-powered sales research platform designed to help sales development representatives automate the process of researching prospects and creating personalized outbound messaging.
How does Steward improve the sales prospecting process?
Steward improves prospecting by scanning various data sources to find relevant information about leads, allowing sales teams to tailor their outreach based on specific company news, individual achievements, or industry trends.
Which platforms does Steward integrate with?
Steward typically integrates with major CRM and sales engagement tools like Salesforce, HubSpot, and Outreach to ensure that the research and personalized data are easily accessible within existing workflows.
Can Steward identify specific buying signals?
Yes, Steward is built to monitor specific triggers and signals that indicate a prospect may be in need of a new solution, helping sales reps prioritize accounts that are more likely to convert.
Is Steward designed for individual reps or large teams?
Steward is scalable and can be used by individual sales professionals looking to save time on research or by large enterprise sales organizations aiming to standardize and automate their outbound personalization at scale.