AI-powered financial crime compliance platform for enterprise KYC, AML, and sanctions screening
ComplyAdvantage operates an end-to-end financial crime compliance platform serving 3,000+ enterprises across 75 countries. The tech stack reveals a dual-layer architecture: a distributed data foundation (PostgreSQL, YugabyteDB, Kafka, Spark, graph databases like Neo4j and TigerGraph) supporting real-time risk signal processing, layered with sales and customer success tools (Salesforce, Outreach, Gong). Current hiring tilts heavily toward sales (11 roles) over engineering (7), signaling a customer acquisition and retention push—backed by active pain points around scaling campaign operations and partner retention.
ComplyAdvantage delivers compliance automation for mid-market and enterprise financial services firms. The platform consolidates KYC (know-your-customer), AML (anti-money laundering), transaction monitoring, PEP/sanctions screening, and fraud detection into a single workflow, powered by agent-based automation that handles up to 95% of review work without manual intervention. The company operates from London with regional hubs in New York, Lisbon, Singapore, and Cluj-Napoca. Revenue appears sales-driven, with active proof-of-concept and proof-of-value engagement pipelines, while infrastructure challenges (Zendesk-to-Pylon migration, platform maintenance burden) suggest scaling friction in back-office operations.
Python, Kotlin, TypeScript, React on the application layer; PostgreSQL, YugabyteDB, Kafka, Spark, Neo4j, and TigerGraph for distributed data and graph processing; AWS, GCP, Azure for cloud infrastructure; Salesforce and Outreach for sales operations.
201–500 employees, headquartered in London with global hubs in New York, Lisbon, Singapore, and Cluj-Napoca.
ComplyAdvantage's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.