Enterprise video OS for building custom, intelligent video solutions at scale
Network Optix builds a software platform that lets enterprises create custom video applications without writing from scratch. The stack—C++23, FFmpeg, H.264/H.265, WebRTC, Kubernetes—reflects a media-heavy, performance-focused architecture optimized for real-time video processing and streaming. Active hiring (17 engineering roles across US, Serbia, Netherlands) skews senior and mid-level, indicating both product expansion and infrastructure scaling; the concurrent focus on CI/CD automation, pipeline performance, and build tooling suggests the team is hitting typical growth walls around velocity and repeatability.
Network Optix develops an Enterprise Video Operating System (Nx EVOS) that abstracts away the complexity of building large-scale video management and analytics platforms. The company targets mid-market and enterprise organizations that need to deploy custom video solutions—surveillance, traffic monitoring, forensics, intelligent analytics—without building the media pipeline from first principles. The platform handles video encoding, network transport, storage, and plugin extensibility; customers integrate their own cameras, analytics, and business logic on top. Founded in 2011 and headquartered in Walnut Creek, California, the company operates as a privately held firm with 201–500 employees distributed across the US, Serbia, and the Netherlands.
C++23, FFmpeg, H.264/H.265 codecs, WebRTC, RTSP, Kubernetes, GitLab, CMake, Conan, Jenkins, and Python. Recently adopting Appium for mobile test automation.
Core projects include media server video processing, camera integration, plugin development, automation services, mobile client tooling, and FFmpeg pipeline integration. Active focus on CI/CD expansion and pipeline performance.
Network Optix'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.