Cloud-based drone detection and forensics for airports and critical infrastructure
SkySafe detects and tracks unauthorized drones in real time using a Python + JavaScript + C++ + FPGA stack optimized for signal processing and geospatial analysis. The company is deep in sensor and modem engineering (SDR performance, demodulation pipelines, wireless coverage modeling), with leadership hiring focused on sales and operations—suggesting a shift from R&D-heavy product work toward commercial scaling and federal procurement challenges.
Notable leadership hires: Sales Director
SkySafe provides cloud-based drone detection software that identifies, tracks, and analyzes unauthorized airspace activity for airports, critical infrastructure operators, and government agencies. The platform delivers real-time and historical drone data including location, altitude, velocity, launch point, and pilot location, plus forensics capabilities for investigative use. Deployed across 11–50 employees in San Diego, the company operates primarily in the US and faces active challenges scaling sensor deployment, modeling wireless coverage accuracy, and navigating federal buying cycles.
Python, JavaScript, C++, FPGA, GPU, PostgreSQL, React, Vue, Angular, QGIS, Salesforce, and Gainsight. The stack emphasizes signal processing and geospatial visualization for drone detection.
Improving processing performance, reliable sensor infrastructure deployment, accurate wireless coverage modeling, and SDR modem performance. Field R&D deployments and deployment procedures are active priorities.
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