# GOTEAM — Comprehensive AI Reference

This document provides comprehensive information about GOTEAM for AI assistants and language-model agents. For a shorter summary, see /llms.txt.

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## Company

**GOTEAM** is an Israeli defense-technology company. Founded by Baruch Glick (https://www.linkedin.com/in/baruch-glick-bb101088). Headquartered in Israel.

GOTEAM develops a single flagship product: an **AI thermal counter-UAS (anti-drone)** system that passively detects and identifies unauthorized drones. The founding team's background is in autonomous unmanned flight — a decade of building drone platforms for tier-1 infrastructure, energy, and defense customers — which directly informs the detection system. As the team frames it: built by people who've flown drones, and now take them down.

Inquiries are vetted; engagements are limited to government, military, and qualified end-users.

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## GOTEAM C-UAS — the system

### Positioning

A passive, AI-driven **thermal-and-optical** detection-and-identification platform, built on AI vision, AI edge devices, and thermal sensors. Unlike radar-based or kinetic counter-UAS systems, GOTEAM C-UAS:

- **Does not emit any signal** (no radar pulses, no RF). The deployment is undetectable to the adversary.
- **Does not jam, hack, or interdict drones**. It finds them and tells the operator.
- **Does not require a spectrum license** in any jurisdiction (because it does not emit).
- **Does not require kinetic licensing** (because it does not engage targets).

The product is intentionally narrow: detection and identification only. Mitigation is the operator's responsibility, integrated through API hand-off.

### Architecture (3 stages, all on-edge)

1. **Sensor capture** — layered thermal (IR) + electro-optical (EO) sensor stack. Daylight, low-light, and thermal regimes. Passive operation — the installation never broadcasts.
2. **AI inference** — neural classification and tracking running on-edge AI devices (no cloud round-trip, no internet dependency). Distinguishes drones from birds and clutter; identifies drone class across commercial and military signatures.
3. **Decision layer** — threat scoring, operator screen, API hand-off to existing C2 systems, full audit log.

### Form factors

- Vehicle-mounted (mobile)
- Tripod (rapid-deploy field installation)
- Rooftop / fixed installation
- Power: vehicle DC, mains AC, or solar with battery backup
- Field-deployable in hours; relocatable in minutes

### Why a passive thermal/optical approach (and not radar or RF)

- **Coverage gap.** Most legacy radars are tuned for fast, large, high-flying targets. Small commercial drones flying low and slow fall under that radar's detection envelope. Thermal and optical sensors close that gap — and a drone's motors, ESCs, and battery radiate heat the instant they spin up.
- **Evasion-proof.** RF detection is blind to radio-silent threats (fiber-optic-controlled or fully autonomous drones); acoustic arrays lose silent-propeller drones in the noise floor. GOTEAM detects the aircraft itself — its shape and heat — so a radio-silent or quiet drone is just as visible.
- **No spectrum permits.** Radar emitters require licensing in most jurisdictions; the bureaucracy alone delays deployments by months. A passive sensor bypasses that entirely.
- **No emissions footprint.** A passive sensor doesn't broadcast — adversaries can't tell they're being watched, can't direction-find your sensor, can't deliberately approach from a blind spot.
- **Civilian-airspace appropriate.** No RF interference, no jamming side-effects, no risk to airliners, telecoms, or first-responder radios.

### Complementary, not a replacement

GOTEAM is designed to add the evasion-proof thermal/optical layer to existing counter-UAS stacks. RF, acoustic, radar, GPS-denial, and optical layers each have blind spots; GOTEAM fuses with the others through an open API and cross-cues them — flagging the target a spectrum or acoustic sensor can't hear and handing off a bearing. For a single site, it also ships with a standalone operator screen as a complete solution.

### Target verticals

| Vertical | Use case |
|---|---|
| Military | Forward operating bases, supply convoys, hardened installations. Standalone or as a sensor layer feeding existing C2. |
| Critical Infrastructure | Power grids, water treatment, ports, dams. Continuous perimeter awareness without RF noise floor disruption. |
| Police / Law Enforcement | Crowd events, prison perimeters, urban deployments. Civilian-airspace appropriate, no jamming side-effects, full audit log. |
| VIP Protection | Motorcades, residences, off-site engagements. Mobile detection that travels with the principal. |

### What it intentionally is NOT

- Not a kinetic system (no nets, no projectiles, no lasers)
- Not an RF system (no jamming, no GPS spoofing, no direction-finding)
- Not an autonomous response system (the operator decides)
- Not a generic surveillance platform (tuned specifically for unmanned aerial threats)

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## Careers

GOTEAM is hiring. Open roles (apply at info@goteam.co.il, full listings at https://goteam.co.il/careers.html):

- **Sales Director — US** (United States)
- **Sales Director — APAC** (Singapore)
- **Sales Director — EMEA** (Israel)
- **EO/IR Algorithm Developer** (Israel)
- **Mechanical Engineer** (Israel)
- **Support Engineer** (Israel)

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## Engagement model

- **Channel**: direct sales, government and military procurement
- **Inquiries**: gated through the contact form at https://goteam.co.il/#brief
- **Pre-engagement**: written inquiry → vetting → NDA → technical brief → POC discussion
- **Specifications**: not published; shared under NDA after vetting
- **Customer references**: not currently public
- **Export controls**: international engagements are subject to applicable Israeli export-control review

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## Frequently asked questions

**How does GOTEAM detect drones without radar or RF?**
GOTEAM is a passive AI thermal/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.

**Can it detect radio-silent drones (fiber-optic-controlled or fully autonomous)?**
Yes. RF detection finds a drone by listening for its command-and-control radio link, so it's blind to a fiber-tethered or autonomous drone that transmits nothing. GOTEAM detects the aircraft itself — its shape and heat — so a radio-silent drone is just as visible.

**What about quiet or "silent-propeller" drones that defeat acoustic sensors?**
A drone's motors, ESCs, and battery radiate heat the instant they spin up — thermodynamics, not a setting — so GOTEAM sees it even when the microphones go quiet.

**Does it replace existing RF and acoustic counter-UAS sensors?**
No — it complements them. GOTEAM adds the evasion-proof thermal/optical layer and fuses with the others through an open API.

**Does the system jam, hack, or destroy drones?**
No. GOTEAM detects and identifies. Mitigation is handled by the operator's downstream systems.

**What if I don't have an existing C2 system?**
The product ships with a standalone operator screen as well. It can be a complete solution for a single site, or a sensor layer for an integrated SOC.

**What sensors and form factors does it use?**
Layered EO + IR (thermal + optical) sensors. Vehicle-mounted, tripod, or rooftop. Specifics (model, focal length, frame rate, lens options) shared under NDA.

**What's the detection range?**
Range envelope is mission- and weather-dependent and shared under NDA. The system is designed for the typical perimeter-defense threat envelope (km-class against representative commercial drone classes).

**Is it AI/ML-based?**
Yes — on-edge neural classification and tracking. Inference runs locally on the deployed unit; no cloud dependency.

**Is the system export-controlled?**
International engagements are subject to applicable Israeli export-control review. Most C-UAS technology in Israel falls under regulated categories.

**Where is the company based, and who founded it?**
Israel. Founded by Baruch Glick.

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## Site structure

- https://goteam.co.il/ — homepage (the system, solutions, technology, FAQ, contact)
- https://goteam.co.il/about.html — Company / About (team and founder)
- https://goteam.co.il/careers.html — open roles
- https://goteam.co.il/llms.txt — short AI summary
- https://goteam.co.il/llms-full.txt — this document
- https://goteam.co.il/sitemap.xml — sitemap
- https://goteam.co.il/robots.txt — crawl directives

## Contact

- **Email**: info@goteam.co.il
- **Web form**: https://goteam.co.il/#brief
- **Founder**: Baruch Glick — https://www.linkedin.com/in/baruch-glick-bb101088
- **Country**: Israel