AI Optical Counter-UAS

See drones first

Passive detection and identification of unauthorized drones — built on AI vision, optical and thermal sensors. No radar license. No spectrum emissions. No kinetics. Mobile-ready, deployable in hours.

Request a brief → See the system
+217%
// rising incursions
Rise in unauthorized drone activity across critical infrastructure versus pre-2020 levels — with European airports up as much as 300%.1
< $1k
// adversary cost
Mass-produced FPV attack drones are built from commercial parts for under $1,000 — cost ratios against the assets they target exceed 1,000:1. Asymmetric by default.2
< 1 m²
// below radar
Small drones sit in the radar-cross-section "grey zone" below the ~1 m² target legacy air-defense radar was built to track — too small, too slow, too low.3
seconds
// time to act
In a multi-drone scenario the defender has only seconds between critical decisions — automated detection and classification is essential.4

Sources: 1 Dedrone, Airspace Security Insights · 2 Global Security Review · 3 Robin Radar, Counter-Drone Technologies · 4 Lockheed Martin, C-UAS Challenge

// layered detection

Go dark. Go quiet. Still warm.

RF, acoustic and GPS denial are proven counter-UAS layers — but each leans on a signature or dependency a capable adversary can engineer away. GOTEAM's thermal layer covers exactly those gaps and fuses with the sensors you already run: the drone that slips past one still lights up on another.

Partner layer
// radio-frequency

RF detection

Reads the command-and-control link — long reach, strong against comms-heavy drones. Blind spot: a fiber-optic-tethered drone emits nothing on the spectrum. GOTEAM picks it up and cues it straight back into your RF picture.
Partner layer
// acoustic

Acoustic detection

Catches rotor noise and gives cheap bearing-to-target. Blind spot: low-noise "silent" propellers fall below the ambient floor at standoff range. Thermal cross-cues the array the instant a heat source appears.
Partner layer
// gnss denial

GPS jamming

Denies the drone its satellite fix to force a land or return-to-home — strong against GPS-dependent autopilots. Blind spot: fiber-optic, inertial and visual-navigation drones ignore GNSS entirely and fly straight through. Thermal sees the aircraft no matter how it steers.
Evasion-proof
// infrared

Thermal signature

Motors, ESCs and battery packs radiate heat the instant they spin up — thermodynamics, not a switch they can flip. Radio-silent and whisper-quiet, sure — but never cold. Run it stand-alone, or fuse it with RF and acoustic for a picture with no blind spot.
▶ See it detected · FlyBox →
// better together Every layer cross-cues the others through an open API — more detections, fewer false alarms, and higher operator confidence than any single sensor on its own. GOTEAM adds the one layer that can't be evaded, without replacing what you already trust.
// the system

Detect. Identify.
Decide faster.

A passive optical sensor stack with on-edge AI classification. No spectrum emissions. No moving parts. Single operator, single screen.

// optical detection

EO/IR vision stack

Layered electro-optical and infrared sensors. Daylight, low-light, and thermal. Passive — your installation never broadcasts. The adversary doesn't know they've been seen.
▶ Run it on your own clip · FlyBox → See for yourself · FlyOps →
// EO/IR · TRACK CLASS-1 · DRONE RNG · 13.84m CONF · 0.83
// field-ready · IP66

Field Ready AI

Neural classification of drone vs. bird vs. clutter, plus class identification across 100+ commercial and military drone signatures. Inference runs at the sensor on a fanless, IP66 ruggedized NVIDIA edge compute box — dust-tight and water-jet rated, no cloud round-trip, field-deployable, vehicle-grade DC power.
// EDGE COMPUTE NVIDIA · FANLESS · IP66 CUDA · ON-DEVICE DC 9–36V · FIELD-DEPLOYED
// tracking

Multi-target tracking

Persistent tracks across the field of view. Trajectory prediction, threat scoring by behavior, and prioritization for the operator. Hand-off to other systems via open APIs.
// form factor

Mobile + fixed

Vehicle-mounted, tripod, or rooftop. Power: vehicle DC, mains, or solar+battery. Deploy in hours, relocate in minutes. No civils, no spectrum permits, no kinetic licensing.
// solutions

Where it goes to work.

Built for environments where the threat moves faster than legacy radar — and where emitters or kinetics are not an option.

// 01

Military

Forward operating bases, supply convoys, hardened installations. Standalone or as a sensor layer feeding existing C2.
// 02

Critical Infrastructure

Power grids, water treatment, ports, dams. Continuous perimeter awareness without RF noise floor disruption.
// 03

Police

Crowd events, prison perimeters, urban deployments. Civilian-airspace appropriate, no jamming side-effects, full audit log.
// 04

VIP Protection

Motorcades, residences, off-site engagements. Mobile detection that travels with the principal — passive, discrete, hand-offable to security teams.
// technology

Sensor → Model → Decision.

Three stages, all on-edge. The pipeline runs locally on the deployed unit; no internet dependency in operation.

// stage 01
Optical capture
EO + IR sensors
full-frame at 30+ FPS
configurable PTZ
weather-rated
→
// stage 02
AI inference
classification + tracking
100+ drone signatures
on-edge (no cloud)
continuous learning
→
// stage 03
Decision layer
threat scoring
operator screen
API hand-off
full audit log
no spectrum emissions · no kinetic action · open APIs to existing C2
// heritage

Special Drone Projects.

GOTEAM was founded around custom autonomous-drone deployments for infrastructure inspection, energy assets, and defense missions. That work continues — and informs the C-UAS system. We've spent years on both sides of the threat.

Custom drone solutions for infrastructure, energy, and defense.
Autonomous inspection runs over substations and pipelines. Persistent surveillance for sensitive sites. Mission-specific platforms tailored per customer. Same engineering team, same operational discipline — applied to the offensive side of unmanned aviation.
Infrastructure Energy Defense Custom build Autonomous flight
See projects →
// live sandbox

Try it on your own footage.

FlyBox is a public sandbox of the detection pipeline. Upload a thermal or EO clip and a GOTEAM Field device processes it on real hardware — same models, same inference path as a deployment. The annotated result streams back to your browser.

Upload a clip. See the system run.
Drop a video or a zip of frames (up to 500 MB). Add an optional flight-log file for synchronised metadata. We queue it on a Field device, run drone-detection locally, and stream the annotated MP4 back — usually in minutes. No install. No integration. Up to 17 jobs per email for evaluation; talk to us for more.
Thermal & EO 500 MB / clip Field-device inference Annotated MP4 No install
Open FlyBox →
// operational scenarios

The system, scenario by scenario.

How GOTEAM handles real operating conditions. Each clip is live model output — the boxes are produced on a Field device, on thermal footage captured in the field. No staging, no post-editing of the detections.

▶ Try it on your own clip · FlyBox →
Up · Cloud · Sky

Drone against open sky

A target climbing and then hovering against broken cloud. The tracker holds the drone through the hover — the hardest moment, when a near-stationary target is easiest to lose.
Open video
Final Flight

Final Flight

The closing seconds of a tracked engagement, looped — the system staying locked on the target right through the end of the run.
Open video
Walk in the Woods

Walk in the woods

A target tracked over a wooded, broken-terrain background — thermal clutter from foliage and ground that the system holds the lock through.
Open video
// company

By people who've flown them.
And took them down.

Engineering team grounded in autonomous flight. We've built drone platforms for tier-1 customers across infrastructure, energy, and defense. C-UAS is the natural next chapter — defending against the systems we've spent a decade designing.

BG
Baruch Glick
// founder
Founder of GOTEAM. Deep background in autonomous unmanned systems and Israeli defense engineering. Leads the C-UAS program from sensor design through field deployment.
// questions

RF, acoustic, optical — where each one fits.

The questions buyers who already run counter-UAS sensors ask us most — how passive optical detection works, and how it covers the blind spots in RF and acoustic.

01How does GOTEAM detect drones without radar or RF?
GOTEAM is a passive AI-optical counter-UAS system. It detects and identifies drones from their visual and thermal signature using EO/IR cameras and on-edge machine learning — no radar, no transmitter, no spectrum license. Because it emits nothing, it can't be jammed or geolocated by the threat.
02Can it detect drones with no RF signal, like fiber-optic-controlled drones?
Yes. RF detection finds a drone by listening for its command-and-control radio link, which makes it blind to a fiber-optic-tethered or fully autonomous drone that transmits nothing. GOTEAM detects the aircraft itself — its shape and heat — so a radio-silent drone is just as visible. Where you already run RF sensors, GOTEAM cross-cues them: it flags the target your spectrum sensor can't hear and hands off a bearing.
03What about quiet or "silent-propeller" drones that defeat acoustic sensors?
Acoustic arrays key on rotor and propeller noise and give low-cost bearing-to-target, but low-noise silent propellers drop below the ambient noise floor at standoff range. A drone's motors, ESCs and battery still radiate heat the instant they spin up — thermodynamics, not a setting — so GOTEAM sees it even when the microphones go quiet. The two layers cover each other.
04Does GOTEAM replace our existing RF and acoustic counter-UAS sensors?
No — it complements them. RF, acoustic, radar, GPS-denial and optical layers each have blind spots. GOTEAM adds the evasion-proof thermal and optical layer and fuses with the others through an open API. Every layer cross-cues the rest: more detections, fewer false alarms, and higher operator confidence than any single sensor alone.
05Does GOTEAM jam, intercept, or shoot down drones?
No. GOTEAM is detection and identification only — passive, no kinetics, no jamming. It gives operators early, accurate situational awareness and feeds your existing decision and mitigation layer.
06What does GOTEAM need to deploy?
Power and a field of view. GOTEAM is mobile-ready and fixed-site capable, needs no spectrum license and no emissions authority, and deploys in hours. On-edge inference means it runs without network backhaul.

Want a technical brief?

Not a generic deck. A specifications-first conversation tailored to your mission profile, threat envelope, and integration constraints. Government, military, and qualified end-users only.

// vetted inquiries only · response within 2 business days · NDA-ready