Distributed sensing and edge intelligence for defense and security
Omnisent builds hardware-software systems combining RF sensing, edge processing, and autonomous platforms for defense missions. The tech stack reveals a hardware-first company: CAD tools (Altium, KiCad, SolidWorks, Fusion 360) dominate, paired with cloud infrastructure (AWS, GCP, Azure) and embedded runtimes (Node.js, Python, Go). Active projects span RF backbone design, LPWAN mesh networks, and real-time acoustic detection—all pointing toward distributed sensor networks that operate in denied or noisy environments. Pain points around battery longevity, RF resilience, and compliance testing signal the engineering complexity of fielding autonomous systems in contested conditions.
Omnisent is a Munich-based defense technology company building situational awareness systems for security and homeland security operations. The product combines edge-deployed sensors (aerial, robotic, stationary), LPWAN mesh networking, and cloud-based dashboards to deliver continuous sensing across complex environments. Their engineering focus spans RF hardware design, real-time signal processing (acoustic event detection, air leak detection), and OTA device management. At 11–50 employees with 8 of 10 active roles in engineering and primarily mid-level hiring, the company is scaling technical depth in hardware integration and distributed systems. Current sales headcount (2 roles) suggests early-stage go-to-market.
CAD (Altium, KiCad, SolidWorks, Fusion 360, Onshape), embedded languages (Python, Go, Node.js), frontend (React, Vue), cloud (AWS, GCP, Azure), wireless (LPWAN, Serverless Framework).
RF mesh networks, real-time acoustic event detection, sensor hardware design, aerial/robotic platform integration, and cloud dashboards for distributed sensing deployments.
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