Unit21
Agentic AI platform for fraud and AML operations whose out of the box agents execute the full financial crime lifecycle end to end, from detection and investigation to regulator ready SAR filing, configured to each institution's procedures with human supervision, audit trails, and backtesting.
Unit21, based in San Francisco, is an agentic AI platform for fraud and anti money laundering operations, rebuilt around AI agents that execute financial crime investigations end to end rather than just assisting analysts. Founded in 2018 by chief executive Trisha Kothari and co founder Clarence Chio on the premise that risk and compliance teams should not need engineers to build fraud and AML rules, it raised ninety two million dollars from Tiger Global, Google's Gradient Ventures, and ICONIQ, and serves more than two hundred customers including Intuit, Chime, and Green Dot. In March 2026 it relaunched as AI Risk Infrastructure, positioning itself as a leader in agentic AI for financial crime after rebuilding its platform from the ground up.
Rather than summarizing alerts, Unit21's agents perform the work. On a unified fraud and AML data model, out of the box agents run the full lifecycle across transaction monitoring, real time fraud prevention, sanctions screening, know your transaction, enhanced due diligence, check and ACH fraud, account takeover, case management, and suspicious activity report filing. An agent ingests an alert, pulls transaction histories, checks sanctions lists, reviews adverse media, assembles evidence, drafts a regulator ready narrative in the customer's format, and logs every step for audit, with each agent configured to that institution's standard operating procedures, thresholds, and risk appetite rather than a generic model. Critically, the AI does not only review alerts, it also creates new detection logic, recommending optimized rules from patterns across dispositions, and teams can validate models and rules with backtesting and shadow mode against historical or live data before deploying. Every run is human supervised, shows its work, and improves from analyst decisions and outcomes over time. Customers report false positive reductions up to ninety three percent and investigation time cut up to eighty percent.
Unit21 is built for the regulated realities of banks, fintechs, and crypto companies, where defensibility, auditability, and governance are non negotiable, and it deliberately contrasts itself with copilots that summarize and standalone tools that lack the underlying risk infrastructure. It runs as a cloud platform without a documented on premise option, uses its own models rather than a choice of provider, and acts through data and integrations rather than driving a browser. For a risk or compliance team drowning in alerts that wants agents to execute investigations and filings while keeping full regulatory defensibility, Unit21 is a strong and proven fit; a team wanting a self hosted deployment or a general purpose agent builder will find it purpose built for financial crime.
Vendor details
Canonical URL
https://www.unit21.ai
Category
Enterprise operations agent
Subcategory
Agentic AI for fraud and AML financial crime operations
Funding status
Independent, based in San Francisco, founded in 2018 by chief executive Trisha Kothari and co founder Clarence Chio on the premise that risk and compliance teams should not need engineering resources to build fraud and AML rules. Unit21 raised ninety two million dollars from investors including Tiger Global, Google's Gradient Ventures, and ICONIQ, and serves more than two hundred customers including Intuit, Chime, and Green Dot. In March 2026 it relaunched as AI Risk Infrastructure with a platform rebuilt around AI agents, reporting over one hundred customers already running the agents in production.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Unit21 is built on a data agnostic architecture that connects to core banking systems and payment rails and interprets signals across any payment rail, ingesting transactions, behavioral signals, device data, and customer attributes in real time. A device intelligence SDK adds signals with a few lines of code, and the unified data model brings fraud, AML, enhanced due diligence, and sanctions into one connected environment with entity networks.
In practice
Up to ninety five percent of your AML alerts are false positives, and analysts burn days manually working them and drafting SARs. Unit21's agent ingests the alert, gathers evidence, drafts a regulator ready narrative, and logs every step, cutting investigation time dramatically.
Fraud and AML run in separate systems, so criminals exploit the blind spots between them. Unit21 unifies fraud, AML, sanctions, and case management on one data model with entity graphs that surface money mules and networks.
You need to tighten detection without months of engineering and vendor rule cycles. Unit21's AI recommends optimized rules from your alert dispositions, and you validate them with backtesting and shadow mode before deploying with confidence.
Sources & related URLs
Agentic Index coverage score
11.0 / 14 capabilities · 79%
| Integrations & Tool CallingConnects to core banking systems and payment rails on a data agnostic architecture, ingesting transactions, device, and customer signals in real time, with a device intelligence SDK, Unit21 docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationAgents orchestrate the entire financial crime lifecycle end to end across fraud, AML, sanctions, EDD, case management, and SAR filing in one environment, Unit21 docs 2026-07-07 | Full |
| Knowledge Grounding & RAGGrounds investigations in transaction histories, entity networks and graphs, sanctions lists, adverse media, and customer data on a unified data model, Unit21 docs 2026-07-07 | Full |
| Human Oversight & GuardrailsEvery agent run is human supervised, producing artifacts teams review, approve, and defend, with analysts investigating within configurable workflows and approval gates on filings, Unit21 docs 2026-07-07 | Full |
| Security, Identity & GovernanceBuilt for regulated banks, fintechs, and crypto with complete audit trails, embedded quality controls, and regulator ready defensibility across every decision, Unit21 docs 2026-07-07 | Full |
| Observability & AuditabilityShows its work with a transparent log of every step, source, and assumption built for audits, plus more than forty dashboards tracking alerts, cases, and SAR trends, Unit21 docs 2026-07-07 | Full |
| Memory & State PersistenceLearns from alerts, analyst decisions, and historical outcomes to improve detection and decisioning over time, on persistent unified entity networks, Unit21 docs 2026-07-07 | Full |
| Deployment & Data ResidencyDelivered as a multi tenant cloud platform with no on premise or dedicated residency option documented, Unit21 docs 2026-07-07 | Unable to verify |
| Prebuilt Agents, Templates & PacksShips out of the box agents across AML monitoring, fraud prevention, sanctions, KYT, EDD, check and ACH fraud, ATO, case management, and SAR filing, plus rule and filing templates, Unit21 docs 2026-07-07 | Full |
| Triggers & Channel CoverageDetects risk in real time with sub 250 millisecond decisioning and continuous monitoring, surfacing suspicious activity within minutes or in real time, Unit21 docs 2026-07-07 | Full |
| Model Flexibility & RoutingRuns its own detection and investigation models with no documented customer choice or routing of the underlying model, Unit21 docs 2026-07-07 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityOffers a device intelligence SDK, API integrations, and a no code rule builder on a data agnostic architecture for teams to extend detection, Unit21 docs 2026-07-07 | Full |
| Testing, Debugging & OptimizationProvides backtesting and shadow mode to test models and rules against historical or live data, measuring precision and optimizing thresholds before deployment, Unit21 docs 2026-07-07 | Full |
| Browser & Computer UseInvestigates through data and integrations rather than driving a browser or operating a computer interface, Unit21 docs 2026-07-07 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Unit21 introduced SAR Agents, which automatically draft FinCEN-ready narratives directly into filings for analyst review. The update also includes expanded payments screening with PEP and Adverse Media watchlists, goAML integration into the filing form generator, and enhanced auto-assignment routing.
Bears on: Agent capability
View sourceUnit21 released a new API suite that allows financial institutions to call its financial crime AI agents directly from their existing case management systems. Instead of migrating to Unit21's full platform, customers can assign investigation tasks to the agent via API and receive the decision, gathered evidence, and a written narrative as structured data.
Bears on: MCP / tool calling / API
View sourceUnit21 launched the Agentic Task Builder, a no-code capability that enables fraud and compliance teams to create custom AI investigation tasks using plain English. Currently supporting online search and data analysis, the builder allows agents to autonomously search external data, analyze internal records, and produce structured answers with citations inside existing alert workflows.
Bears on: Agent capability
View sourcePricing
Not public; quoted through enterprise engagement, scaled to transaction volume, modules, and users
enterprise engagement scaled to transaction volume, modules, and users
What is public
No list pricing. Unit21 sells to banks, fintechs, and crypto companies through enterprise engagement, but rates are not public.
Billing mechanics
Presumed enterprise engagement scaled to transaction and alert volume, the modules deployed, and users, though rates are not disclosed.
Cost watchouts
Cost scales with transaction and alert volume and the number of modules deployed across fraud, AML, sanctions, and case management, and adding the AI agents on top of monitoring is a distinct commercial line.
Variable cost rationale
Priced against transaction and alert volume and the modules deployed, so cost grows with monitored volume and how much of the fraud and AML lifecycle runs on the platform.
Additional watchouts
Confirm whether pricing is per transaction, per module, or a platform subscription, and how the agentic AI capabilities price relative to the base monitoring and case management platform.
Sales call required
Yes, required for paid access
Free / trial
Demo on request; no public free tier
Key ambiguities
No public rate is disclosed, and whether pricing is per transaction, per module, or a platform subscription with users is not clear, nor how the AI agents price relative to the base platform.
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Alternatives to Unit21
The closest documented capability profiles to Unit21 among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Manhattan Associates10.0 / 14A lighter documented profile than Unit21
- Apprentice.io10.5 / 14Adds documented Deployment & Data Residency
- Atlassian10.5 / 14Adds documented Deployment & Data Residency
- Atomicwork12.5 / 14Adds documented Deployment & Data Residency and Model Flexibility & Routing
- Beam AI11.5 / 14Adds documented Deployment & Data Residency
- Nexthink10.5 / 14Adds documented Deployment & Data Residency
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded