Castellum.AI evaluates agent reliability in three ways using Arbiter proof-of-value (POV) tests on client alert data.
Published
Signal category
Research & Knowledge
Quote
“At Castellum.AI, we evaluate agent reliability in three ways. Everything below comes from running Arbiter proof-of-value (POV) tests on client alert data this year.”
— Morgan Loewith|Castellum.AI team
Company
Castellum.AI
AI agents for L1 and L2 alert resolution
- Industry
- Software Development
- Location
- New York, US
- Company size
- 28 employees
Castellum.AI helps AML teams eliminate alert overload. With AI agents that resolve alerts across customer onboarding, payments and investigation workflows, we enable teams to process investigations 6x faster while eliminating 94% of false positives. Our Arbiter agents are trained on each institution's own internal policies and procedures, ensuring every decision reflects that institution's specific risk appetite. There's no one-size-fits-all model: our agents work the way your compliance team works. Arbiter agents can be deployed as a modular AI layer within existing workflows, or as part of a consolidated Castellum.AI solution that includes global risk data — sanctions, PEPs, adverse media and more — with real-time screening and monitoring.