Problem

ROE addresses the labor-intensive, high-stakes investigation work behind fraud, disputes, AML, KYB, and enhanced due-diligence programs. Risk teams are caught between hiring or outsourcing, which raises costs and can reduce quality, and relying on rules and models, which can miss emerging typologies; neither option scales with alert volume. The central economic pain is the large amount of skilled analyst time required to turn alerts and scattered evidence into defensible, regulator-ready decisions. The clearest use case is automating the high-volume first pass while escalating complex cases to experienced investigators; Dutchie, for example, says the work previously consumed thousands of analyst hours annually.

Product / Service

ROE is an agentic investigation platform that reads structured and unstructured evidence, follows a customer’s procedures, investigates cases end-to-end, and produces a cited disposition for analyst, QA, and examiner review. It can reason across warehouse data, PDFs, images, websites, social content, and call recordings, while maintaining a per-case audit trail. Rather than replacing an organization’s systems, ROE sits on top of them, reading from existing data sources and posting results back into existing workflows; its browser agent can operate across legacy consoles and other web applications without an extensive integration project.

The product is sold as enterprise software for regulated environments, with single-tenant VPC, customer-managed-key, and on-premises deployment options. ROE reports 90%+ day-one accuracy on production cases, a 70% cost reduction versus offshore fraud operations, and 91% faster time to disposition across live fraud, dispute, AML, and KYB deployments, with the fastest deployments reaching a first production decision within one week.

Market

ROE competes in regtech and fintech compliance software, specifically the emerging category of agentic AI for fraud, AML, and risk investigations. Its alternatives include both manual or outsourced investigation teams and conventional rules-, model-, and workflow-based fraud platforms. CB Insights names Resistant AI, Diligent, and Complok among ROE AI’s top competitors, while the broader fraud-detection landscape includes vendors such as ComplyAdvantage, Featurespace, Feedzai, Sardine, and Hawk AI.

The company has meaningful production traction rather than appearing to be pre-revenue or merely experimental. Its current site lists production use by organizations including eBay, Affirm, Crossmint, Kalshi, Dutchie, TikTok, and Arc Next Insurance, as well as a global systemically important bank; it also reports serving customers with more than $400 billion in aggregate market capitalization and handling more than 20,000 reviews per day. ROE was founded in 2023 and announced a $3.5 million seed round led by Gradient Ventures in 2024, although no public revenue figure is provided in the evidence.