Unit 21

Unit21 offers a cloud-based risk and compliance platform that combines fraud prevention and anti-money-laundering (AML) operations in a single system. Its product suite spans real-time transaction monitoring, AML transaction monitoring, sanctions and payment screening, case management, customer risk rating, regulatory filing, device intelligence, and a fraud consortium. The company positions the platform as "AI Risk Infrastructure": configurable AI agents both perform detection and execute investigations end to end, gathering evidence, applying risk reasoning, drafting narratives, and producing regulator-ready filings with a human in the loop and a complete audit trail.

Earlier public descriptions characterize the company as a no-code/low-code activity monitoring and business-logic engine that lets non-technical operators and analysts build and run rules on streams of data without engineering support, initially targeted at KYC/AML and fraud detection in financial services with an intent to extend to additional use cases such as identity verification. Product areas described for 2025 include AI check-fraud detection that analyzes both sides of a check image, AI rule recommendations, anomaly detection models, alert-level AI recommendations and AI-written case narratives, a "Build Your Own Agent" (BYOA) capability, millisecond real-time rules with velocity logic and dynamic allow/deny/step-up decisions, onboarding and ongoing watchlist screening against sanctions, PEP and adverse media lists, payment screening, use of customer risk ratings inside the detection model builder, expanded 314(a) matching on SSN, date of birth and address with refined fuzzy matching, direct CTR filing to FinCEN from within the platform, and a "Why Did This Flag?" alert explainability view.

The company states it can integrate with existing systems and sit on any database, and reports platform-level figures including 4.5 billion monthly events monitored, roughly 48.3 million analyst hours saved, and involvement in 5% of SARs filed in the US.

Founding story

Unit21 was founded in 2018 by Trisha Kothari and Clarence Chio, who previously worked at Affirm and Shape Security respectively.

Business model

Unit21 sells a business-to-business software platform to fintechs and financial institutions, delivered as a cloud-based system with an API and dashboard, and integrations into customers' existing data systems. Positioning emphasizes replacing in-house build efforts (one customer executive cited saving months of engineering effort) and reducing operational cost by cutting review time and false positives rather than adding analyst headcount.

Traction

Company-reported platform metrics include 4.5 billion events monitored monthly, about 48.3 million analyst hours saved, 5% of US SAR filings, and more than 200 customers across 90 countries. In 2021 the company said it monitored over $40 billion of transactions and reduced customer service response times by 50%; customers such as Bakkt and Lili Banking were reported to have cut false positives by 85% and fraud loss by 50%. Recent case-study figures cited on the website include a 72% reduction in alerts using AI agents, 57% AI-driven automation of alert reviews, 93% reduction in false positives, 44% faster reviews, 50% reduction in false positives with 2x fraud caught, and audit preparation time reduced from nearly a week to under 30 minutes. The 2020 funding announcement cited 400% growth.

Latest developments

A January 2026 product recap describes 2025 releases: an AI suite covering detection (AI check fraud detection, AI rule recommendations, anomaly detection models) and investigation (alert-level AI recommendations, one-click AI-written narratives, Build Your Own Agent), millisecond real-time rules with velocity logic and dynamic decisions, expanded device intelligence, onboarding and ongoing watchlist screening plus payment screening unified in one case management flow, customer risk ratings usable in the detection model builder, expanded 314(a) matching, direct CTR filing to FinCEN, and a "Why Did This Flag?" explainability feature.