Problem

Financial institutions and fintechs must perform customer due diligence, KYC/KYB reviews, AML screening, adverse-media checks, and sanctions investigations, but much of this work remains repetitive, manual, and difficult to scale. Compliance teams spend substantial time reviewing documents, evaluating whether merchants and businesses are legitimate, and investigating false-positive alerts, while the work’s regulated and reputationally sensitive nature demands explainability, consistency, and an audit trail. The economic pain is higher compliance cost, analyst overload, slower onboarding, customer friction, and potentially greater fraud and risk exposure.

The clearest use case is merchant and SMB onboarding: automatically investigating a business’s websites, social profiles, reviews, and registry filings, then routing genuinely complex or high-risk cases to human analysts. Diligent’s Scalapay case study reports a 65% reduction in manually reviewed risk queues and false-positive alerts, saving more than 6,000 hours annually.

Product / Service

Diligent provides AI agents for KYC/AML operations that complete routine compliance workflows end to end. The agents conduct merchant and counterparty risk investigations, review customer and business documents, screen for sanctions, PEPs, and adverse media, and remediate alerts. They use large language models to read unstructured information, reason through cases according to a customer’s policies and workflows, and produce a comprehensive audit trail, allowing human analysts to focus on judgment, exceptions, and strategy.

The delivery model is designed to augment existing compliance stacks rather than replace them. Customers can use Diligent’s interface or integrate through an API, while the platform connects with current systems and vendors without requiring a wholesale KYC/AML-system change. The intended benefits are lower cost per review, greater throughput with the same resources, faster and less-frictional customer onboarding, and more consistent and auditable decisions.

Market

Diligent competes in the emerging market for AI-agent and automation software for financial-crime compliance, particularly KYC, KYB, customer due diligence, AML alert remediation, and merchant-risk operations. The competitive set includes purpose-built AI-agent providers such as Arva AI, whose offering similarly targets AML, KYB, and KYC manual work, as well as broader or more established compliance vendors such as ComplyAdvantage, Silent Eight, Symphony AI, and Genpact RiskCanvas. Diligent’s positioning is centered on autonomous investigation and workflow execution layered into existing systems, rather than only identity verification, screening data, or conventional rules-based monitoring.

The company is not merely pre-commercial: its materials say the platform is used by fintechs, banks, and publicly listed payment processors, with agents deployed across Europe, the Middle East, the United States, and Japan. Named case studies include Scalapay and Alma, with reported improvements including Scalapay’s 65% reduction in manual reviews and Alma’s 20% risk-queue reduction and 15% manual-review productivity gain. Diligent announced a $2.5 million seed round led by Speedinvest and Shapers, with continued participation from Y Combinator and strategic fintech founders; the available materials do not disclose revenue or ARR, so commercial traction is evident but revenue scale cannot be determined.