AI-powered risk intelligence for financial crime compliance and counterparty screening
Sigma360 operates a risk intelligence platform built on Python, Go, Java, and graph databases (Neo4j, Elasticsearch) to screen organizations against financial crime watchlists and assess counterparty risk. The company is in a key growth phase with hiring acceleration across engineering, sales, and security — and active work on enterprise client integration and AML workflows suggests they're scaling both product depth and go-to-market motion simultaneously.
Sigma360 provides an AI-driven risk intelligence platform that helps financial institutions, compliance teams, and enterprises detect and prevent financial crime. The product consolidates data on over 1 billion companies and associated individuals into a unified screening and monitoring solution. Core capabilities include AML and watchlist screening, adverse media detection, KYC workflows, investigations and alert management, and counterparty credit risk assessment. The platform is sold to mid-market and enterprise compliance, risk, and legal teams. Current technical initiatives center on incident response automation, security policy compliance, enterprise client architecture, and AML integration.
Python, Go, Java, React, PostgreSQL, Neo4j, Elasticsearch, AWS (Lambda, ECS), Databricks, Terraform, Docker, and Grafana. The architecture emphasizes graph and search infrastructure for risk data at scale.
Enterprise client integration architecture, incident response automation, build process automation for security compliance, AML integration workflows, and a transformed pricing model. Current focus is scaling compliance product depth and customer onboarding velocity.
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