CAPABILITIES
Valentine RF develops RF-native sensing and analysis workflows designed for security, defense, and research environments where spectrum activity matters.
SPECTRUM SENSING & ANALYSIS
We build systems that detect, characterize, and analyze RF activity using SDR-based sensing and behavioral features—not just assumptions about known standards.
- Wideband spectrum monitoring and baselining
- Anomaly detection in complex RF environments
- Signal classification beyond standard protocol headers

Development powered by NVIDIA DGX Spark workstations. Leveraging dual GB10 Grace Blackwell Superchips for 200B+ parameter model training and real-time RFML inference at the edge.
COUNTER-UAS / COUNTER-DRONE
Valentine RF is developing RF-based counter-drone workflows that help teams detect, localize, track, and respond to drone activity in protected environments.
- Geofencing & zone monitoring
- Direction finding and localization
- Drone tracking and situational awareness
- Mitigation workflow support (authorized use only)
- Forensic capture, replay, and reporting for incidents
RF FORENSICS & REPORTING
We develop evidence-minded workflows that emphasize repeatability, analyst clarity, and defensible outputs suitable for investigation and technical review.
- Chain-of-custody aligned data capture
- Replayable sessions for post-incident analysis
- Automated technical reporting generation
Compliance Standards


ML-ASSISTED SIGNAL UNDERSTANDING
We focus on models and pipelines that support analyst reasoning with confidence scoring, context, and transparency—prioritizing trust over opaque decisions.
- Explainable AI (XAI) for RF classification
- Analyst-in-the-loop feedback mechanisms
- Confidence scoring for decision support
PERFORMANCE-FIRST ARCHITECTURE
We design for throughput and operational practicality, including GPU-forward processing where it meaningfully improves speed and scalability.
RESEARCH & COLLABORATION
Valentine RF works with partners exploring advanced RF sensing, anomaly detection, and operational spectrum awareness.