AI-powered IoT platform for real-time asset tracking in manufacturing and logistics
KINEXON operates a hardware-software platform for indoor localization and fleet management in industrial settings, built on C++, Go, Rust, and Kubernetes with a growing real-time data pipeline capability. The hiring mix—engineering-heavy with embedded systems depth, balanced finance and ops roles, and active fundraising—indicates scaling toward enterprise deployment and potential M&A. Pain points around low-latency sensor networks and rendering thousands of moving objects in real-time signal the company is solving hard physics problems in factory-floor visibility.
Notable leadership hires: Head of Finance, Head of Marketing
KINEXON builds an IoT platform that combines indoor positioning (via ultra-wideband), automated material handling (AMR/AGV fleet management), and real-time asset tracking for manufacturing and logistics operations. The platform integrates with SAP systems and is deployed across automotive, aerospace, and heavy industrial sectors. Headquartered in Munich with a US office in Chicago, the company serves customers who require real-time visibility and traceability of moving assets in complex physical environments. The product spans localization hardware, edge compute, cloud analytics, and actionable dashboards for process automation.
KINEXON's core stack includes C++, Go, Rust, and Python for backend services; Angular and Vue for front-end; Docker, Kubernetes, and AWS for infrastructure; GitLab CI/CD for deployment; and ultra-wideband (UWB) hardware integration. WebAssembly is used for real-time rendering on the client side.
KINEXON is headquartered in Munich, Bavaria, Germany, with an additional office in Chicago, USA. The company employs over 250 people and was founded in 2012.
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