Strangeloop delivers real-time signal intelligence where connectivity ends. No cloud. No latency. No single point of failure.
Three integrated capabilities that give operators persistent, real-time awareness of the electromagnetic spectrum — from the sensor to the decision.
On-device neural inference classifies emitters across protocol, waveform, and intent — in under 2 ms, without a cloud uplink. Operates in GPS-denied, comms-degraded environments.
Automatically detect jamming, spoofing, and unintentional interference. Multi-sensor time-difference-of-arrival algorithms geolocate emitters with sub-meter accuracy.
Continuous, autonomous scanning across contested bands. Machine learning adapts scan priorities in real time as the threat environment evolves — no operator reconfiguration required.
Traditional spectrum intelligence requires data to travel to centralized infrastructure — introducing latency, bandwidth cost, and single points of failure. Strangeloop processes everything at the sensor.
Our edge AI stack runs on ruggedized, SWaP-constrained hardware purpose-built for forward-deployed operations. From the antenna to the alert in under 2 milliseconds.
View Full ArchitectureFrom antenna to classified alert, on-device
DC–6 GHz continuous coverage, no gaps
Classified signal types, continuously updated
Fully air-gapped operation, no uplink required
Real-time detection and classification of threat emitters. Autonomous cueing of kinetic and non-kinetic countermeasures without operator-in-the-loop latency.
SIGINTPersistent, wide-area collection and characterization of signals of interest. On-device processing eliminates exfiltration requirements and reduces exploitation timelines.
Spectrum OpsDynamic spectrum access and deconfliction for multi-domain operations. Automated frequency coordination across complex, multi-operator communications architecture.
TelecomProtect licensed spectrum from interference and unauthorized use. Rapid localization of rogue transmitters for both commercial operators and government agencies.