Freaking Aliens is building the sensory infrastructure for the autonomous world—a nervous system for planetary-scale AI. We deploy modular, intelligent sensor nodes that detect, process, and share situational awareness in real-time.
To create a shared 'ground truth' for artificial intelligence. We're building a network of eyes, ears, and nerve endings that gives machines—and the humans who operate them—a consistent, real-time understanding of the physical world.
Today's AI systems operate blind—each machine builds its own incomplete map and they don't always agree on reality. Freaking Aliens provides a shared, verified picture of the physical world that any autonomous system can plug into, enabling coordination instead of conflict.
A flexible system that fuses data from multiple sensors (optical, thermal, RF, and more) to provide a real-time picture of what's happening around your site, so you can detect, track, classify, and act.
Most sensors are dumb pipes. Ours are nerve endings—they understand what they see. Each node runs onboard Edge AI for detection, tracking, characterization, and anomaly detection, then shares high-value intelligence with the network in real-time.
CCTV systems capture raw video and require humans to watch feeds. Freaking Aliens combines multiple sensor types, fuses signals, runs AI classification on the edge, and delivers actionable alerts & telemetry—not just footage.
Edge AI means the intelligence runs directly on the sensor node, not in the cloud. This enables low-latency detection, reduces bandwidth requirements, and allows the system to work even with intermittent connectivity.
No. Processing happens at the edge (on the device) first. The network syncs high-value intelligence, but we're designing for flexible deployments appropriate to each mission.
The system is modular and supports multi-modal, multi-spectral sensors—visible-light cameras, thermal/infrared, passive RF receivers, acoustic sensors, and other mission-specific modules. Mix and match to build the perfect stack for your needs.
Aircraft, drones, vessels, vehicles, people at range, environmental events, and anomalies. The system classifies detections to reduce noise and surface what matters.
Yes. The UAP subject is of great interest to the team, some of whom have been deeply involved in scientific research of UAP at Harvard University's Galileo Project. We believe collecting data on UAP is paramount to understanding the phenomenon, and UAP detection is a core use case—right alongside practical missions like maritime security, border monitoring, search & rescue, and scientific research.
When the system detects something important, it generates real-time alerts to your dashboard so you can review detections, tracks, and evidence and respond quickly.
Anywhere you need coverage—coastlines, harbors, borders, critical infrastructure, airports, research sites, farms, factories, cities, and private property. Built for streets, skies, factories, and cities.
Security teams, defense operators, first responders, researchers, smart city planners, and anyone who builds or deploys autonomous systems, and needs reliable, continuous awareness across large or remote areas.
It's for both consumers and industry. Whether you're a consumer or professional, the system designed for easy deployment, with a friendly interface and plug-and-play installation. You can mix and match compute and sensor stacks to meet your requirements.
We're actively building and field-testing. Early access and pilot programs will be announced via our mailing list.
Join the newsletter on the homepage—we'll share milestones, early access opportunities, and field results.
We're actively seeking partners—government agencies, defense contractors, NGOs, research labs, smart city initiatives, and serious hobbyist groups. If you have a mission in mind, reach out via the contact form.
Check the Jobs section for openings and apply directly. If you don't see a fit, you can still send us your background.
Use the Contact section on the site; our team will get back to you.
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