Roe AI
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About
Roe is an advanced AI-powered analyst platform specifically designed to optimize Anti-Money Laundering (AML) and compliance operations for financial institutions and fintech companies. By utilizing specialized Mini AI Agents, the platform automates the labor-intensive process of investigating alerts, allowing compliance teams to close significantly more cases without increasing headcount. The system acts as a force multiplier, moving investigations from alert to decision in minutes rather than days, while maintaining the rigorous standards required for regulatory reporting and internal audits. At its core, Roe functions by autonomously researching and analyzing a wide array of data sources. It can execute SQL queries across databases like Snowflake or PostgreSQL, search the web for external context, and process unstructured data from PDFs, images, and websites. This allows the AI to perform complex reasoning—such as identifying layering activity, detecting high velocity transactions, or spotting patterns—while providing a transparent reasoning trail for every decision. This explainability is crucial for compliance, as it shows exactly how data was analyzed and which Standard Operating Procedures (SOPs) were followed. The platform is ideally suited for Risk Managers and Compliance Analysts within high-growth fintechs, banks, and payment processors. It excels in workflows such as merchant onboarding, enhanced due diligence, SAR filing guidance, and fraud detection. For organizations dealing with high volumes of transactions or complex risk profiles, Roe offers a way to screen up to 12 times more data than traditional solutions. The 91% faster time-to-decision helps teams manage bursts in activity, such as dormant account spikes or rapid movement alerts, with superhuman speed and human-level accuracy. What distinguishes Roe from generic AI tools is its enterprise-grade security and sector-specific focus. It offers single-tenant private VPC deployment options and a strict zero-data-retention policy, ensuring that sensitive financial data is never used for training models. The platform maintains SOC2, HIPAA, and GDPR compliance, making it a trusted partner for regulated entities. With a typical four-week integration time and native connectors for major financial data platforms like Stripe, Plaid, and Salesforce, Roe integrates deeply into existing risk detection ecosystems to provide high-fidelity, actionable intelligence.
Pros & Cons
Reduces time-to-decision by up to 91% compared to manual processes.
Capable of screening 12x more data than traditional compliance solutions.
Supports single-tenant VPC deployment for maximum data privacy.
Provides a clear reasoning trail for decisions to ensure auditability.
Effectively processes unstructured data from PDFs and external websites.
Pricing information is not publicly available and requires a demo.
Integration is not instantaneous, requiring an average of four weeks.
Highly specialized focus may limit its use in non-financial sectors.
Use Cases
Compliance Analysts can automate the triaging of AML alerts, allowing them to process 10x more cases using autonomous research agents.
Risk Managers can streamline merchant onboarding by using AI to analyze transaction patterns and identify shell companies.
Fintech Security Teams can detect complex fraud like card cycling and wash trading by connecting Roe to live database environments.
Platform
Task
Features
• sql query generation
• unstructured data extraction
• native data connectors
• 91% faster decisioning
• soc2/hipaa/gdpr compliance
• single-tenant vpc deployment
• reasoning trails
• mini ai agents
FAQs
How does Roe handle sensitive financial data?
Roe offers a zero-data-retention policy where your data is not used for model training. It also supports single-tenant private VPC deployments on major cloud providers and maintains SOC2, HIPAA, and GDPR compliance.
Can Roe process documents like PDFs and images?
Yes, Roe is designed to reason through unstructured data sources, including PDFs, images, and websites. It extracts context and classifies risk from these materials to supplement structured transaction data.
What types of financial crimes can Roe detect?
The platform is built to identify various suspicious activities, including smurfing, layering, structuring, card cycling, wash trading, and TBML (Trade-Based Money Laundering) risks.
Does Roe integrate with existing data stacks?
Roe features native connectors for popular platforms such as Snowflake, Salesforce, Plaid, Stripe, PostgreSQL, and Databricks. This allows the AI agents to run SQL queries and pull data directly from your live environment.
How long does it take to get Roe up and running?
The average integration time for Roe is approximately four weeks. This period typically involves connecting data sources and tailoring the AI agents to your specific compliance workflows and SOPs.
Pricing Plans
Enterprise
Unknown Price• Mini AI Agents
• SQL query execution
• Unstructured data processing
• Single-tenant VPC deployment
• SOC2 & HIPAA compliance
• Reasoning trails
• Integration support
• SAR filing guidance
• Fraud detection
Job Opportunities
Founding Software Engineer, AI Agent
Streamline AML and compliance operations by automating alert triaging and investigations with AI agents that reason through structured and unstructured data.
Benefits:
Epic offsites
Daily lunch stipend
Medical insurance
Dental insurance
Vision insurance
Education Requirements:
GPA >= 3.7 if less than 2 years of experience
Experience Requirements:
1-4 years of full-stack software development experience
New grad hungry to learn or industry veteran
Other Requirements:
Comfortable with Python, Cursor, cloud infrastructure (AWS/GCP/Azure), and agent frameworks
Top 5% builders in your network
Commit to intense weeks (sometimes 6-day sprints)
On-site in San Mateo at least 3 days per week
Communicative
Responsibilities:
Build AI agent platform to serve risk and compliance
Build mission critical features for Fortune 500 customers
Own problems end-to-end
Review each other’s code
Move quickly
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