Automated network assurance and digital twin for multi-vendor enterprise networks
IP Fabric builds a network assurance platform that maps devices, configurations and dependencies across cloud and on-prem networks. Job posts show engineering is breaking a monolithic application into modules and moving deployment to containers on Kubernetes, with GitLab CI/CD, NX and Playwright in the build chain. NetBox, Nautobot, ServiceNow and Splunk in the stack point to integration-heavy product work with the network automation ecosystem.
IP Fabric, founded in 2015 and headquartered in Boston, Massachusetts, develops software that automatically discovers enterprise networks and validates their state against intended behavior. The platform normalizes data from multi-vendor environments spanning cloud, network and security systems, supporting audit, compliance, troubleshooting, documentation and mapping use cases. It sells to enterprises running complex hybrid networks, often through proof-of-concept engagements. The privately held company has 51–200 employees and is currently hiring in Czechia and Germany.
IP Fabric builds with Python, TypeScript, Node.js, PostgreSQL, Redis and RabbitMQ, deploys on Docker and Kubernetes across AWS, Azure and GCP, and uses GitLab CI/CD, Terraform and Ansible.
IP Fabric is hiring in Czechia and Germany, with hiring accelerating across engineering, product, ops, sales and support, mostly at senior level.
Current work includes decomposing a monolithic application into modules, moving deployment to containers, improving build and test pipelines, and running proof-of-concepts for hybrid and cloud networks.
Other companies in the same industry, closest in size
IP Fabric'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.