RF ConnectML delivers high-performance Radio Frequency Machine Learning (RFML) services, with a focus on quantum-enhanced analytics, low-SNR signal intelligence and SDR hardware integration. Our mission is to empower telecom, space and defense organizations with cutting-edge capabilities in spectrum intelligence, anomaly detection and autonomous signal classification.
Modulation Classification: Real-time RF signal identification using classical and quantum ML
Telemetry Optimization: Efficient handling of satellite and edge telemetry for bandwidth-constrained environments
Quantum ML Integration: Hybrid pipelines built with PennyLane, Qiskit and other quantum ML libraries
SDR Hardware Compatibility: Integration with RFSoC, USRP, HackRF and other SDR platforms
Remote Deployment: Cloud-native RFML pipelines for scalable, global deployment
Telecom: Spectrum monitoring, interference detection, waveform analytics
Space Systems: Satellite signal classification, telemetry compression, anomaly detection
Defense: Tactical RF intelligence, encrypted signal analysis
Healthcare (R&D): RF-based biomedical telemetry
RF ConnectML envisions becoming a trusted partner in the UK and Ireland's deep-tech ecosystem, driving innovation in RFML and quantum-enhanced signal analytics for telecom, space and defense sectors. Our goal is to contribute to national efforts in spectrum intelligence, secure communications and autonomous signal processing through joint R&D, pilot deployments and scalable technical integration. By operating virtually, we offer seamless collaboration with startups, research institutions and government-backed initiatives across the region.