Arva AI

Arva AI builds autonomous decisioning systems for banking operations. Its agents handle the judgment heavy work that compliance and operations teams currently do by hand: sanctions screening, customer due diligence and enhanced due diligence, client onboarding, transaction monitoring alerts and lending decisions. Each agent researches the case, reaches a decision with a documented rationale and escalates only the exceptions. It is intended for regulated financial institutions: banks, credit unions, fintechs, and crypto and trading platforms. AgentStudio is the environment for configuring and deploying production agents against a firm's policies, and AgentCore is the continuous learning layer that feeds analyst feedback back into the models. A proprietary model called Arva Intel enriches entities and gathers research on counterparties. Named agents cover screening, investigations, onboarding, enhanced due diligence and lending. The company holds SOC 2 Type II, ISO/IEC 27001 and ISO/IEC 42001 certifications, the last covering AI management systems, and it publishes production figures such as a 92 percent alert resolution rate and a 21 percent increase in straight through processing. Pricing is not published. Institutions book a demo and receive a quote based on volumes and the agents deployed. Arva describes itself as a research company as much as a vendor, and its claim of up to 50 percent accuracy improvement over human review is the company's own figure rather than an independent finding.