AI-enabled RF intelligence software under active R&D.
Zap Media is developing a Canadian software intelligence platform for distributed RF sensing, machine-learning-assisted signal analysis, RF signature matching, and multi-node geolocation.
A software layer for distributed RF sensing research.
The RF intelligence program focuses on software systems that can ingest RF-related data from distributed sensing environments, structure that data for analysis, and support research into signal characterization, signature matching, sensor correlation, and geolocation workflows.
The platform is under active R&D and is not presented as a commercially available defence product. Zap Media is using this work to validate architectures, data-processing approaches, user interfaces, and machine-learning-assisted workflows that may support future defence and dual-use applications.
Where the R&D is focused.
The program explores the software and AI problems around RF data processing rather than making claims about field deployment. Research is centered on creating usable intelligence from distributed sensing inputs while keeping the system architecture adaptable for future validation.
Designed to support future defence and dual-use research applications.
Spectrum Awareness
Research into software workflows that help teams interpret RF environments and compare signal activity across distributed sensing inputs.
Perimeter & Infrastructure Awareness
Potential applications for critical infrastructure, perimeter awareness, autonomous-platform sensing, and search and rescue contexts.
Counter-UAS & Maritime Research
High-level research applications may include counter-UAS research, maritime or coastal sensing, and satellite communications or RF monitoring.
R&D partnerships should start with high-level fit.
Zap Media is open to research collaboration with universities, research organizations, technology companies, and industry partners where there is a clear fit around software architecture, RF data processing, machine learning, testing environments, or prototype validation.
For sensitive defence or research discussions, initial outreach should stay high level. The team can arrange an appropriate follow-up channel if the conversation requires more detailed technical exchange.