New York-based financial-crime compliance platform focused on sanctions, PEP, adverse-media, KYC/KYB, transaction screening, and AI-assisted alert adjudication for banks, fintechs, credit unions, crypto, and other regulated institutions. The strongest evidence is not generic ‘compliance AI’ but operational screening work: Castellum.AI claims 94% fewer false positives, 83% less time on L1 alert reviews, watchlist updates every five minutes, and AI agents that resolve L1/L2 alerts with documented, audit-ready reasoning. Legal relevance is real but narrow. This is not a day-to-day law-firm workflow product; it is for in-house AML, BSA, fraud, risk, and compliance teams, with legal or regulatory counsel involved in escalation, policy, and exam readiness. Public proof is better than many batch vendors. The site contains dedicated pages for fintech compliance, APIs, pricing, SOC 2, and GTI integration, and there is some third-party or practitioner signal: PitchBook/Tracxn funding data, a Lead Bank case study, a small but real Reddit mention in r/AMLCompliance, and explicit competitive comparison pages against LexisNexis. The caveat is source mix: many outcome claims still come from Castellum-controlled pages, and public pricing remains mostly demo-led despite a pricing landing page.
Company Info
- Founded: 2019
- Team size: 11-50 employees
- Funding: $4.2M
- HQ: United States
- Sector: Governance/Compliance/Risk Management
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Castellumai is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Castellumai addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
In-house legal team gets 200+ compliance queries per month ('Can we do X in Germany?', 'Does CCPA apply to this data?') — each one requires a lawyer to manually triage, research, and respond, but 80% are repetitive questions with deterministic answers that could be automated into a decision tree
Fund manager's compliance team needs to verify KYC/AML for every LP in a new fund — 40 investors across 12 jurisdictions, each with different beneficial ownership structures, and the 31 CFR deadline is approaching while half the investors haven't submitted their compliance documentation
Company needs to vet a distributor, supplier, or agent in a difficult jurisdiction - screening comes back mostly clean, but the real risk sits in local records, beneficial ownership, site visits, or corruption rumors that global databases miss, and the team has no clean way to escalate from automated checks into on-the-ground investigation without starting over
Where it fits in your workflow
Before Castellumai
A customer or business is onboarding, a payment or transaction needs screening, or a counterparty triggers sanctions/PEP/adverse-media risk that must be assessed before approval
After Castellumai
Cleared alerts return to onboarding or payments, while higher-risk matches escalate to human analysts, deeper due diligence, SAR drafting, ongoing monitoring, or account restrictions
Integrations & hand-offs
Compliance operations usually work first-line alerts, with legal, BSA/AML leadership, fraud teams, and investigators reviewing the harder cases. Castellum.AI tries to fit into existing case-management, core, and payment workflows rather than forcing a rip-and-replace implementation.
Also used by similar teams
Community Data
Loading practitioner-sourced data…