quantumloom.io
There are more wireless signals in the world than cell phone chips. Every device emits: WiFi, Bluetooth, tire pressure sensors, smart wearables.
Quantum Loom captures all of it and turns it into timestamped, geolocated, actionable intelligence through purpose-built hardware, a crowdsourced data platform, and enterprise analytics.
Autonomous RF collection devices that scan continuously and auto-upload over cellular. No SD cards, no manual retrieval. Deploy and forget.
The most comprehensive wireless data platform in existence: maps, manufacturer intelligence, alerts, leaderboards, and a global contributor community.
Signal data overlaid on 164,969+ infrastructure points across 270 countries for combined SIGINT + GEOINT analysis.
Phone WiFi and Bluetooth signatures, vehicle systems, tire pressure (TPMS) sensor IDs, smartwatches, earbuds, laptops, IoT devices, and cell towers.
Every observation is timestamped and geolocated, suitable for investigative and court use.
"Who was at this location on Tuesday at 2 AM?" If a device was running, the data already exists.
Repeat visitors, recurring unknown devices, watchlist hits, and rare device alerts in real time.
Manufacturer and OUI intelligence, IoT and wearable classification, surveillance camera (Flock) detection.
REST API, SIEM connectors, GIS export, and fleet management for every deployed device.
Real-world applications across investigation, security, and emergency response.
Prove a restraining order violation from the violator's phone, vehicle, TPMS, and wearable signatures.
Four nodes create an invisible wireless fence that logs every device entering the property.
The same unknown device appearing again and again is a pattern: evidence of surveillance.
Retroactively search logged data for a phone or smartwatch to establish last known location.
Track a specific vehicle across nodes by tire sensor ID. No GPS trackers, no plate readers, no cameras.
Passive RF logs answer who was present at a scene, after the fact.
Find rogue access points, unauthorized devices, and RF anomalies with continuous monitoring and alerts.
Capture every wireless device present during the theft window and match against known profiles.
Log every device at hotspot locations and build profiles of who attends, when, and how often.
True crowd counts, repeat attendees across events, and movement patterns without a single camera.
Build a complete visitor pattern over weeks with zero physical surveillance presence.
A "homebound" claimant whose devices appear at gyms and bars: passive evidence that speaks for itself.
Capture who visits a subject's residence, when, and for how long, without sitting in a car across the street.
Locate trapped survivors by scanning for active device signals in rubble when traditional methods fail.
Weaving Intelligence from Scattered Signals · Built in the USA
Wyoming limited liability company · EIN 42-4843792 · NAICS 334220 / 541512 · SIC 3663 · D-U-N-S and CAGE in process