SEON builds fraud prevention and AML compliance software on a TypeScript/NestJS and Python core, running PostgreSQL with pgvector, ClickHouse and YugabyteDB across AWS, Azure and GCP. The pgvector and ML serving work points to embedding-based risk analysis, while Playwright, k6 and Pact show a mature testing culture. Accelerating, senior-heavy hiring and a Revenue Operations Lead search signal a push to automate quote-to-cash and renewals.
Notable leadership hires: Revenue Operations Lead
SEON provides a platform that helps businesses detect fraud and manage anti-money-laundering obligations, combining customer data enrichment, behavioral monitoring and compliance workflows. Its capabilities span KYC, device intelligence, digital footprint analysis, customer screening, adverse media and government database checks. Founded in 2017, the privately held company employs 201–500 people and is headquartered in Austin, Texas, with offices in London, Budapest and Singapore. It serves companies scaling into new products and markets worldwide.
SEON runs Node.js, TypeScript, NestJS, Python and Java with React, on PostgreSQL, pgvector, ClickHouse and YugabyteDB, deployed via Docker and Kubernetes across AWS, Azure and GCP.
Yes. Engineering leads SEON's accelerating hiring, mostly at senior level, alongside sales and a Revenue Operations Lead, with roles in Hungary, the United Kingdom and the United States.
SEON is building ML solutions for ID verification, packaging and serving ML models, training-data pipelines, and automating its quote-to-cash and renewals processes.
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SEON'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.
