SEON operates a fraud prevention and compliance platform built on Prometheus, Kubernetes, PostgreSQL, and Node.js/TypeScript, serving mid-market and enterprise fintech. The company is actively scaling AI capabilities—evidenced by projects around AI infrastructure, applied research group formation, and AI-centric product integration—while simultaneously building operational maturity (monitoring/alerting, capacity planning). Hiring velocity is accelerating across engineering, marketing, and sales, suggesting simultaneous product expansion and go-to-market growth.
SEON provides an AI command center for fraud prevention, AML compliance, and KYC workflows. The platform ingests 900+ proprietary, real-time data signals to enrich customer profiles, detect suspicious behavior, and streamline compliance operations. The company operates globally from Austin, London, Budapest, and Singapore, serving fintech platforms, payment networks, and financial services firms. Core capabilities span digital footprint analysis, device intelligence, government database screening, and adverse media monitoring. Infrastructure relies on Kubernetes, AWS EKS, and PostgreSQL; operations run on Salesforce, HubSpot, NetSuite, and SAP.
SEON's core stack includes Node.js, TypeScript, React, NestJS, PostgreSQL, and YugabyteDB for application logic. Infrastructure uses Kubernetes, AWS EKS, Terraform, and Docker. Observability runs on Prometheus, Grafana, Elasticsearch, with alerting via PagerDuty and Opsgenie.
Current priorities include AI infrastructure and product capabilities, formation of an applied research group, monitoring/alerting system development, UX improvements for fraud analysis, and capacity planning for growth. The company is simultaneously scaling cross-sell/upsell initiatives and partner enablement.
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.