Unit21
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About
Unit21 is a comprehensive AI-driven risk and compliance infrastructure designed to help financial institutions and fintech companies fight financial crime. The platform provides a centralized solution for fraud prevention, Anti-Money Laundering (AML) monitoring, and case management. By unifying data from disparate sources, it allows teams to monitor transactions in real-time and manage the entire lifecycle of a financial crime investigation from initial detection to regulatory filing. At the core of the platform are specialized AI Agents that act as virtual investigators, learning from historical data and real-time activities to enhance alert quality. These agents provide rule recommendations and can automate up to 80% of alert reviews, significantly reducing the manual workload for human analysts. The suite include real-time payment fraud monitoring, AML transaction monitoring, sanction screening, and customer risk rating. Its no-code nature allows risk teams to build and modify detection logic without heavy engineering involvement, while the system integrates directly with existing databases like Snowflake, AWS, and Google Big Query. The tool is primarily built for risk and compliance professionals within banks, credit unions, neobanks, and crypto platforms. It is particularly valuable for fast-growing fintechs that need to scale their compliance operations without exponentially increasing their headcount. Current users include established names like Nexo, Brex, and Green Dot Bank, who utilize the platform to handle massive volumes of activity while maintaining strict regulatory standards across multiple jurisdictions. Unlike traditional compliance software that often functions as a black box, Unit21 emphasizes transparency and customizability through its no-code interface. Its unique AI Agents are designed to think like analysts rather than just execute static rules, which helps in identifying complex patterns that traditional systems might miss. Furthermore, the platform's ability to sit on top of any database and its focus on saving analyst time—evidenced by over 48 million minutes saved—positions it as an efficiency tool as much as a security one.
Pros & Cons
No-code interface allows risk teams to deploy or update detection logic without engineering support.
AI Agents can automate a significant portion of alert reviews, reaching up to 80% automation for some users.
Supports real-time payment fraud monitoring to identify and block suspicious transactions instantly.
Flexible data ingestion allows the platform to sit on top of any existing database infrastructure.
Includes built-in regulatory filing capabilities for streamlining Suspicious Activity Reports (SARs).
Public pricing information is not available, requiring a direct consultation for cost details.
Initial setup may require extensive data integration to fully utilize the AI Agents' learning capabilities.
The platform's comprehensive feature set may be more complex than what a very small business requires.
Use Cases
Compliance officers at neobanks can automate AML monitoring and sanction screening to scale operations safely.
Fraud analysts at fintech companies can utilize AI Agents to reduce false positive alerts and focus on high-risk cases.
Risk managers at cryptocurrency platforms can implement real-time transaction monitoring to block illicit transfers immediately.
Credit union operations teams can unify data from disparate sources into a single case management system for investigations.
Regulatory compliance teams can use the platform to automate the preparation and filing of SARs, saving manual effort.
Platform
Task
Features
• ai agents
• case management
• payment screening
• aml transaction monitoring
• customer risk rating
• regulatory filing
• sanction screening
• real-time fraud monitoring
FAQs
What types of financial crime does Unit21 detect?
The platform is designed to combat a wide range of illicit activities including money laundering, payment fraud, and the financing of terrorism. It provides dedicated tools for AML transaction monitoring, real-time payment screening, and sanction monitoring to ensure comprehensive coverage.
How do the AI Agents assist compliance teams?
AI Agents act as intelligent virtual teammates that assist in both detection and investigation by learning from historical patterns. They can automate alert reviews and provide rule recommendations based on data, significantly reducing the manual workload for human analysts.
Which database integrations are supported?
Unit21 is built to sit on top of any existing database infrastructure, ensuring easy data ingestion. It offers native support for popular platforms like Snowflake, AWS, Google Big Query, Databricks, and MongoDB.
Can the platform handle regulatory reporting?
Yes, the suite includes specialized features for regulatory filing to help institutions stay compliant with legal requirements. It streamlines the creation and submission of Suspicious Activity Reports (SARs) and other necessary documentation.
Is coding knowledge required to use the platform?
No, Unit21 is a no-code platform that allows risk and compliance teams to make data-driven decisions without needing technical expertise. Users can customize detection logic and manage workflows directly through a user-friendly interface.
Pricing Plans
Enterprise
Unknown Price• AI Agents
• Real-Time Fraud Monitoring
• AML Transaction Monitoring
• Case Management
• Regulatory Filing
• Sanction Screening
• Payment Screening
• Device Intelligence
Job Opportunities
Senior Full Stack Engineer(Singapore)
Detect, investigate, and report financial crime with an AI-powered platform that automates AML compliance and reduces fraud loss for financial institutions.
Benefits:
Competitive salary and pre-IPO equity
100% company-paid medical, dental, and vision insurance (employee)
Unlimited PTO and generous leave programs
401(k)
learning & development stipend
Experience Requirements:
5+ years of experience with Python, Go, Rust, or another object-oriented language
3+ years of experience with React
3+ years of experience working with data warehouses such as Snowflake, Databricks, or Redshift
Experience building and operating distributed systems
Experience with AWS and Terraform (or equivalent infrastructure-as-code tools)
Other Requirements:
Experience with event-driven architectures and technologies such as Kafka or RabbitMQ
Advanced knowledge of software engineering fundamentals
Demonstrated hustle, curiosity, and humility
Experience with Apache Spark
Responsibilities:
Focus primarily on high-output software development
Take technical leadership of projects from ideation through deployment and release
Collaborate closely with product managers to assess technical feasibility
Review pull requests across the team
Design creative technical solutions to complex, ambiguous problems
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Enterprise Customer Success Manager
Detect, investigate, and report financial crime with an AI-powered platform that automates AML compliance and reduces fraud loss for financial institutions.
Benefits:
Competitive salary and pre-IPO stock options
100% company-paid medical, dental and vision insurance (for employee)
Optional HSA and FSA medical reimbursement accounts
Unlimited paid time off
Generous leave programs for life events
Education Requirements:
Bachelor’s degree
Experience Requirements:
4+ years of outstanding track record in SaaS customer success or account management
Experience in fintech, banking or related fields (AML, fraud)
Experience managing accounts of $200k+ ARR
Experience managing complex retention and upsell opportunities
Other Requirements:
Ability to build long-lasting relationships with senior executives
Outstanding project management and organization skills
Sense of curiosity and learning
Responsibilities:
Act as the main point of contact for a set group of our enterprise customers
understand their success criteria and help tell the story of Unit21’s value
Act as a customer advocate internally, bringing trends and feedback to the team
Seek to find mutual wins through identification and education around additional features
Drive revenue retention and growth
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Partnerships Lead
Detect, investigate, and report financial crime with an AI-powered platform that automates AML compliance and reduces fraud loss for financial institutions.
Benefits:
Competitive salary and pre-IPO equity
100% company-paid medical, dental, and vision insurance (employee)
Unlimited PTO and generous leave programs
401(k)
learning & development stipend
Education Requirements:
Strong academic background in a technical or analytical discipline
Bachelor’s degree or higher in a relevant field
Experience Requirements:
2–5 years of experience in partnerships, business development, strategy, technical GTM, or research commercialization
Other Requirements:
AI-native technical fluency
Analytical, metrics-driven mindset
Comfort operating in fast-moving, ambiguous environments
High levels of intellectual curiosity, humility, and hustle
Responsibilities:
Help define and execute Unit21’s partnerships strategy
Identify, evaluate, and build relationships with AI-forward fintechs
Develop joint value propositions and partner narratives
Collaborate closely with Product, Engineering, and Data teams
Track and analyze partner performance metrics
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Ratings & Reviews
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