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§ Private Profile · New York City, NY, USA
B2B SaaS platform identifying financial crime risk for financial institutions and businesses, automating AML and KYC compliance.
Based in New York City, Castellum.AI is a B2B software platform that provides automated anti-money laundering and KYC compliance screening services for financial institutions, businesses, and government agencies. The company utilizes artificial intelligence to screen individuals and organizations against global watchlists, updating its database every 5 minutes and reducing false positive alerts by 80 percent compared to traditional systems. Operating with fewer than 25 employees, the enterprise has raised just under $5 million in total funding to support its subscription risk management operations. The firm serves banks, credit unions, and digital asset companies, recently expanding its commercial reach by hiring industry veteran Jared Ezzell and establishing a strategic integration partnership with Certa. Castellum.AI was officially founded in 2020 by former United States Treasury regulator Peter Piatetsky and former high frequency trading quantitative developer Julian Vasilkoski.
Castellum.AI has raised $13.0M across 2 funding rounds.
Castellum.AI has raised $13.0M in total across 2 funding rounds.
Castellum.AI is a New York-based technology company founded in 2019 (or 2020 per some sources) that builds an AI-powered compliance screening platform for financial crime prevention, specializing in AML/KYC workflows.[1][2][3][5] It offers real-time screening for sanctions, PEPs, adverse media, beneficial ownership, and more, using in-house global data from 200,000+ sources, modular AI agents, and explainable decision-making to reduce false positives by 94% and L1 alert review time by 83%.[1][3][4] The platform serves banks, credit unions, fintechs, digital asset firms, cryptocurrency, and supply chain sectors, solving compliance bottlenecks by automating risk decisions while ensuring audit-ready, regulator-aligned outputs like those from OCC, NY DFS, and others.[1][2][3][4]
This enables financial institutions to scale operations, eliminate backlogs in onboarding and transaction monitoring, and focus on high-risk cases without disrupting workflows or compromising oversight.[1][4]
Castellum.AI emerged from the expertise of its co-founders tackling financial crime head-on. Peter Piatetsky, Co-Founder & CEO, is an ex-US Treasury regulator who fined banks, jailed money launderers, and froze illicit assets before leading compliance at a major Asian bank, bringing over 15 years of frontline experience.[3][5] Julian Vasilkoski, Co-Founder & CTO, applied his high-frequency trading background as a quant developer to build fast, scalable systems for compliance.[3][5] Marissa Venuto serves as COO, with a track record in scaling startups.[3]
The idea crystallized as financial criminals adopted AI, prompting the founders to counter with superior tech: in-house data updated every 5 minutes, end-to-end automation, and AI that outperforms legacy tools plagued by high false positives and slow updates.[1][5] Early traction came from addressing a $219B market gap, backed by investors representing over 100 banks and credit unions, positioning it for rapid adoption in regulated environments.[3][5]
Castellum.AI stands out in the AML/KYC space through integrated, enterprise-grade features that prioritize accuracy, speed, and defensibility:
These edge out competitors like FinScan, Facctum, and CleverChain by offering end-to-end automation in an open ecosystem.[2]
Castellum.AI rides the AI-driven financial crime compliance wave, where criminals leverage AI for evasion amid rising regulatory scrutiny and a $219B market strained by false positives and manual reviews.[5][6] Timing is ideal post-2020s regulatory shifts demanding explainable AI, as opaque "black box" models face audits—Castellum's hybrid, traceable system meets this head-on, enabling institutions to onboard more business confidently.[1][6]
Market forces like real-time transaction volumes in fintech/crypto and global sanctions flux favor its 5-minute data cycles and scalability.[1][2] It influences the ecosystem by setting benchmarks for auditable AI, helping banks/credit unions compete with Big Tech while reducing compliance costs, and accelerating sector-wide adoption of hybrid AI over pure rules-based or generic ML tools.[3][4]
Castellum.AI is poised to dominate AI-AML as regulations mandate explainability and institutions scale AI adoption. Next steps likely include expanding to more verticals like governments and enhancing agent capabilities for fraud/payments, fueled by its investor backing and proven metrics.[3][5] Trends like AI criminality escalation and hybrid model mandates will propel growth, potentially evolving it into a compliance platform leader influencing standards via partnerships.[1][6]
Tying back: In a world where financial crime screening must be fast, precise, and provable, Castellum.AI empowers teams to prevent threats without the drag of outdated tools.
Castellum.AI has raised $13.0M in total across 2 funding rounds.
Castellum.AI's investors include Curql, Cultivation Capital, EVE Atlas, Framework Venture Partners, Mucker Capital, TechSquare Labs, Ajay Gopal, Michael Sekits, Cameron Ventures, Remarkable Ventures, Spider Capital, Newfund.
Castellum.AI has raised $13.0M across 2 funding rounds. Most recently, it raised $9.0M Series A in July 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 1, 2025 | $9M Series A | Curql | Cultivation Capital, EVE Atlas, Framework Venture Partners, Mucker Capital, TechSquare Labs, Ajay Gopal, Michael Sekits, Cameron Ventures, Remarkable Ventures, Spider Capital | Announced |
| Oct 25, 2023 | $4M Seed | Spider Capital | Cameron Ventures, Newfund, Remarkable Ventures | Announced |