Roe provides AI‑driven specialist agents that automate end‑to‑end financial‑crime investigations, ingesting structured and unstructured evidence, applying custom SOPs, and generating fully cited dispositions for QA sign‑off.
Funding
$3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
2OFounders
Product
Problem
Financial crime investigations require analysts to manually review large volumes of structured and unstructured data, follow complex standard operating procedures, and produce documented dispositions for audit and regulatory compliance. This process is labor‑intensive, error‑prone, and costly, especially for high‑volume card networks, BNPL platforms, marketplaces, and crypto compliance teams.
Solution
Roe delivers AI‑driven specialist agents that automate the end‑to‑end investigation workflow. Each agent ingests evidence from multiple sources, applies the organization’s SOPs, and generates a fully cited disposition that can be reviewed and signed off by QA staff. The platform operates within the second line of defense, integrating with existing risk models while maintaining an immutable audit trail of every prompt, source, and decision. Deployment is available as a single‑tenant instance in a private VPC on AWS, GCP, or Azure, ensuring data never leaves the customer’s environment. Role‑based access controls and SSO/SCIM provisioning provide granular permissions and secure user management. Results are exportable to GRC systems, supporting continuous governance and regulatory reporting.
Target Audience
Roe’s primary customers are compliance, risk, and fraud investigation teams within card networks, buy‑now‑pay‑later providers, online marketplaces, and crypto‑native financial institutions that need scalable, auditable automation of high‑volume financial‑crime workflows.
Features
- AI agents that read both structured and unstructured evidence and execute custom SOPs without manual summarization
- Generation of cited investigation dispositions with full traceability for QA and examiner sign‑off
- Immutable, exportable audit log of every prompt, data source, and decision for governance compliance
- Single‑tenant deployment in private VPCs on major cloud providers, guaranteeing data residency
- Granular role‑based access control with out‑of‑the‑box SSO and SCIM provisioning
- Seamless integration with existing risk models and export to GRC systems via API
- Pricing per review (e.g., $0.7–$1.2 for fraud investigations, $3–$6 for merchant risk), eliminating seat‑based licensing