Global communications platform with edge compute and voice AI infrastructure
Telnyx operates a unified infrastructure combining telephony, edge compute, and AI agent capabilities across 23+ countries. The tech stack reveals a telecom backbone (Kamailio, FreeSWITCH, RTPEngine, Asterisk) paired with modern cloud infrastructure (Kubernetes, Terraform, Prometheus), and they're actively migrating database services to Kubernetes while building inference platforms for AI agents — indicating a shift from traditional telecom architecture toward containerized, AI-first infrastructure.
Telnyx provides a consolidated platform for real-time communications and AI infrastructure. The product surfaces three main capabilities: global voice and messaging APIs (SIP-native, powered by open telephony stacks), dedicated edge compute resources for low-latency inference, and managed AI agent services for voice-based automation. The company serves product teams and contact centers looking to embed voice AI without managing multiple vendors or infrastructure layers. Operations span North America, Europe, South America, Asia-Pacific, and the Middle East, with engineering-dominant hiring concentrated on infrastructure, AI platform, and observability work.
Telnyx runs on open-source telephony frameworks (Kamailio, FreeSWITCH, RTPEngine, Asterisk), container orchestration (Kubernetes, RKE2, Rancher), infrastructure-as-code (Terraform, Ansible), observability (Prometheus, Graylog, Metabase), and languages including Python, Go, Erlang, and Elixir.
Telnyx is headquartered in Austin, Texas. The company operates globally with active hiring across North America, Europe, South America, Asia-Pacific, and the Middle East.
Telnyx'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.