Minerva provides an AI‑driven AML name‑screening and continuous monitoring platform that evaluates sanctions lists, politically exposed persons, and adverse media. Its deep‑learning models cut false positives by up to 75% while automating onboarding and periodic re‑screening, and the solution integrates via REST APIs with role‑based alert queues and built‑in audit and reporting tools for regulated financial institutions.
Funding
Funding not disclosed
Founders
Product
Problem
Legacy AML screening processes generate large volumes of false positives, requiring extensive manual research and creating backlogs that hinder timely risk assessment. Fragmented workflows and manual data handling also make it difficult for compliance teams to maintain visibility over their screening programs.
Solution
Minerva delivers an AI‑driven AML name screening and ongoing monitoring platform that evaluates sanctions, politically exposed persons (PEPs), and adverse media sources. Its neural‑network models, trained on millions of investigation decisions, reduce false positives by roughly 75% while preserving detection accuracy. The system automates client onboarding screening and schedules continuous monitoring at configurable intervals, eliminating repetitive manual checks. Alerts are consolidated into a single, role‑based queue, and intelligent alert management suppresses duplicate notifications based on prior dispositions. Integration is achieved through simple REST APIs, enabling rapid deployment within existing compliance stacks. Built‑in audit trails, reporting tools, and compliance certifications (SOC 2, ISO‑27001, NIST, GDPR, etc.) support regulator‑ready documentation.
Target Audience
The platform is aimed at AML analysts, compliance officers, and risk‑management teams within banks, fintech firms, cryptocurrency exchanges, and other regulated financial institutions that need scalable, accurate screening solutions.
Features
- AI‑powered risk scoring using deep‑learning models trained on over 5 million AML decisions, delivering contextual understanding of name variations and entity relationships
- Up to 75% reduction in false positives across sanctions, PEP, and adverse media checks
- Automated onboarding screening that can process up to 96% of new clients without manual review
- Intelligent alert management that de‑duplicates alerts and learns from analyst dispositions to improve future accuracy
- Configurable ongoing monitoring cadence (weekly, monthly, quarterly) with automated re‑screening workflows
- Unified alert queue with role‑based access, real‑time collaboration, and customizable escalation rules
- Seamless integration via RESTful APIs and SDKs, supporting both proprietary and third‑party compliance systems
- Comprehensive audit logging, one‑click regulatory reporting, and adherence to SOC 2, ISO‑27001, NIST, GDPR, CCPA, and related standards