TLDR: Castellum.AI, a leading financial crime compliance platform, has successfully closed an oversubscribed $8.5 million Series A funding round. The investment, led by Curql with participation from BTech Consortium and Framework Venture Partners, will accelerate the adoption of its AI Agent and AML/KYC platform, aiming to significantly reduce false positives and enhance financial institutions’ ability to combat financial crime.
NEW YORK – Castellum.AI, a pioneering force in financial crime compliance, announced today the successful closure of an oversubscribed $8.5 million Series A funding round. This significant capital injection is set to accelerate the adoption of its innovative AI Agent and Anti-Money Laundering (AML)/Know Your Customer (KYC) platform, which is designed to provide secure, effective, and explainable AI solutions to financial institutions.
The funding round was spearheaded by Curql, a fund supported by over 130 credit unions, including Navy Federal. Notable participation also came from BTech Consortium, a fund backed by more than a dozen banks including Customers Bank, and Framework Venture Partners, which is supported by Tier 1 Canadian financial institutions like RBC. Existing investors, including Spider Capital, Remarkable Ventures, and Cameron Ventures, also reaffirmed their commitment by participating in this round.
Castellum.AI distinguishes itself as the only financial crime compliance platform that integrates in-house risk data, comprehensive AML/KYC screening, and advanced AI agents. This unique combination directly addresses the critical challenges faced by compliance teams, who often grapple with an overwhelming volume of false positives while genuine financial crimes evade detection.
Peter Piatetsky, CEO and Co-Founder of Castellum.AI, emphasized the company’s mission: “Compliance teams are drowning in false positives while financial crime slips through the cracks. We’ve eliminated the tradeoff of choosing accuracy and risk mitigation.” The company stands by its commitment with an industry-first money-back guarantee, promising clients a reduction in false positive rates.
Nick Evans, President and CEO of Curql, highlighted the timely nature of the investment: “Financial institutions face the dual threat of criminals using AI and legacy systems generating unnecessary compliance alerts on a daily basis. We’re excited to invest in Castellum.AI, which is exactly what the doctor ordered—AI that’s explainable, effective, and ready to be adopted across the regulated landscape.”
Mike Sekits, Co-Founder and Managing Director of BTech Consortium, further elaborated on the platform’s technological edge: “The true value of AI in compliance is entirely dependent on the quality of the underlying data and screening alerts – garbage in, garbage out. It cannot be realized with just an LLM wrapper. Castellum.AI is the only company that combines all three in-house: data, screening and AI agents.” The company’s AI agents have even demonstrated their regulatory alignment by successfully passing a CAMS practice exam on the first attempt.
The impact of Castellum.AI’s platform is already evident in its client successes. A leading sponsor bank reported an 88% reduction in AML/KYC review costs, while a community bank saw a 94% decrease in transaction screening false positive rates. A Fortune 50 corporation reduced Level 1 KYC alerts by 83%, and a major crypto brokerage dramatically cut their data refresh time from 24 hours to every 5 minutes. These results underscore the platform’s ability to significantly reduce unproductive alerts, thereby lowering compliance costs and enabling teams to scale operations while maintaining precision and oversight.
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This new funding will enable Castellum.AI to deepen its integration with financial institutions, empowering compliance teams with quicker access to its robust AI solutions. The company’s modular platform is also designed to reduce switching costs, allowing banks and credit unions to integrate tools individually or adopt the full suite, facilitating a flexible and scalable approach to compliance technology.
