During the U.S. Army’s Project Convergence Capstone 5 (PC-C5), DeepSig’s OmniSIG software helped reshape how RF signals are processed in the field, delivering real-time classification, faster response and actionable insights for Electronic Warfare (EW) operators at the edge.
Our AI-native signal detection and classification technology enabled rapid identification and characterization of unknown signals across various radio platforms. By automating the analysis of wideband RF data at the edge, OmniSIG reduced response times and directly supported the broader goal of real-time EW reprogramming during live operations.
OmniSIG’s analytics capabilities delivered actionable insights across tactical and enterprise systems, enhancing situational awareness and enabling faster, more informed decision-making in contested Electromagnetic Spectrum (EMS).
Project Convergence continues to serve as a key proving ground for emerging EW technologies. We’re proud that OmniSIG contributed to these efforts, enabling agile, intelligent spectrum sensing at the tactical edge.
Feedback from the U.S. Army Cyber noted that OmniSIG supported key RF data classification and labeling efforts during PC-C5. As part of the Radio Frequency Data Pilot, OmniSIG helped process and share RF data at the edge, contributing to broader situational awareness.
Built for today’s rapidly evolving Electromagnetic Operating Environment (EMOE), OmniSIG delivers a suite of AI-native capabilities designed to help defense operators make faster, smarter decisions from the edge to the enterprise. Whether deployed on rugged laptops, tactical radios or integrated into EW platforms, OmniSIG empowers teams to process RF data in real time. It automatically detects, classifies and labels signals across wideband spectrum environments.
Key defense applications for OmniSIG include:
- AI-Powered Signal Detection & Classification: OmniSIG’s neural network-based engine can recognize hundreds of signal types, including commercial, tactical and custom waveforms. It also detects unknown or anomalous signals, supporting threat discovery and model training in dynamic environments.
- Edge-Based Analytics & Reporting: When deployed at the tactical edge, OmniSIG generates automated insights such as metadata, classification confidence, signal strength, duty cycle and more. These can be synced with command-level systems for real-time awareness.
- Signal Capture for Model Development: OmniSIG supports IQ data capture for unknown signals. This enables high-quality training samples and accelerates the creation of custom detection models.
- Flexible, Modular Deployment: OmniSIG supports multiple form factors, from manpacks to distributed sensor networks.
As the Army continues to evolve its electronic warfare capabilities, tools like OmniSIG are helping deliver fast, intelligent RF sensing and analysis across the modern battlespace.
“Understanding that the EMOE is rapidly changing, the Army must adapt faster than our adversary. Due to the contested, congested and constrained EMS, we must place reprogramming efforts in the hands of our EW, Signals Intelligence (SIGINT), and Spectrum Management professionals closer to the edge. Given the uncertainty of consistent network connectivity, it’s critical that we develop organic electromagnetic support capabilities and ensure adversarial emitter information can be shared laterally, bottom-up and top-down across the Department of Defense. The OmniSIG software makes that possible, empowering the force to operate independently, reducing reliance on Field Support Representatives (FSRs) and “reach back” support,” said DeepSig’s Adam Gately, CW3, U.S. Army (Ret.).
