Agentic AI platform for enterprise contact centers with anti-fraud built in
Omilia operates an agentic AI platform for contact center automation, serving financial services and enterprise clients. The company is actively scaling security and product capabilities—17 of 47 recent hires are engineers, while 16 are in security roles, reflecting a push to mature AI governance and compliance frameworks (PCI DSS, SDLC). The tech stack reveals a cloud-native, containerized architecture (Kubernetes, Docker, Terraform) layered with observability (Prometheus, Grafana, Kibana) and CI/CD automation (GitLab, Jenkins), with current projects focused on security-gated feature release, vulnerability triage, and agentic workflow integration (Claude API, n8n).
Omilia builds an agentic AI platform designed to automate customer service interactions while preserving agent involvement where needed. The product combines conversational AI for self-service, real-time agent assist, and multi-layered anti-fraud detection—targeting financial services, telecommunications, and large enterprises. Founded in 2002, the company operates across 24+ hiring countries, with an active workforce of 201–500 and accelerating hiring velocity. Core use cases include call deflection, fraud prevention during customer authentication, and continuous learning across the entire customer journey to improve containment rates.
Omilia runs on AWS and Azure with Kubernetes, Docker, and Terraform for infrastructure. Observability is handled via Prometheus, Grafana, and Kibana. CI/CD pipelines use GitLab and Jenkins; testing includes Selenium, Cypress, and Playwright. The platform is built on Python, Java, and JavaScript with REST APIs.
Active projects include agentic workflows using Claude API, n8n automation, CI/CD pipeline improvements with GitLab and Jenkins, security governance frameworks for AI features, SIEM coverage, vulnerability triage, and transcription accuracy enhancements.
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