AI-driven network operations platform for ISPs and telecom operators
AXON Networks operates a software-defined networking platform aimed at ISPs and telecom operators, with a tech stack anchored in Java, Python, C++, Kafka, Kubernetes, and cloud infrastructure (AWS/GCP). The hiring distribution—17 of 23 roles in engineering, weighted toward senior and director-level—reflects a company scaling product and platform depth rather than sales or customer success, while active projects cluster around SDN, WiFi management, and test automation for embedded systems and cloud services.
AXON Networks builds an AI-driven network operations platform for ISPs and telecom operators globally. The product, called Operator-as-a-Service (OaaS), combines orchestration, digital twins, and agentic AI to automate network management across service assurance, provisioning, and customer experience optimization. The platform serves carriers managing over 90 million users. The company was founded in 2021 and is based in Irvine, California, with 201–500 employees and engineering teams distributed across the United States, Turkey, Vietnam, Denmark, Spain, and the United Kingdom.
Java, Python, C++, Go, Node.js, Spring Boot, Kafka, Apache Pulsar, MongoDB, PostgreSQL, Cassandra, Redis, Kubernetes, Docker, AWS, GCP, and SD-WAN. Testing and QA tooling includes Selenium, Postman, Cucumber, Robot Framework, and Spirent.
Primary focus areas are software-defined networking (SDN), WiFi management platforms for ISPs, next-generation network devices, predictive modeling, and test automation frameworks for embedded software and cloud services. Active initiatives also target fault detection automation and access network improvements.
AXON Networks'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.