SKYHOOP Overview
SkyHoop offers a portable, easy-to-deploy UAV detection solution powered by an advanced optical algorithm. Designed for real-time identification, it combines deep learning, visual tracking, and trajectory prediction to accurately detect drones in various environments. The system runs efficiently on both smartphones and specialized cameras, making it accessible and scalable for any operation. With fast setup, intuitive use, offline capabilities, and no need for complex equipment, SkyHoop delivers powerful, flexible, and cost-effective drone threat detection.
Latest News
| Sector | Aerospace, Defense & HLS |
Funding
| Total funding | Undisclosed |
| Last funding | Undisclosed |
| Stage | Pre-Funding |
| Rounds | 0 |
| Investors | 0 |
Team Members
3
Employees: 1-10
Web & Social Links
Locations
Tel Aviv-Yafo, Israel
Photos & Videos
No files yet
SKYHOOP Business
Sector
Aerospace, Defense & HLSDefense & HLS SolutionsCombat Equipment & SystemsSecurity & Surveillance IntegrationTarget Customer
Defense, Safety & SecuritySecurityHomeland SecurityPublic SecurityNational SecurityCivilCore Technology
Artificial IntelligenceDeep LearningComputer VisionImage RecognitionSensingOpticPlatforms & InterfacesMobileTags (5)
homeland-securityobject-trackingdefenseanti-dronessoftware-developmentSKYHOOP Financials
SKYHOOP Lifecycle
SKYHOOP News
2 articlesSKYHOOP Team
Employee Info
| Employees (range) | 1-10 |
| Exact count | 4 |
| Team members | 3 |
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SKYHOOP Internal
Recent Updates
No update log entries.
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Admin Info
| Confidence | 71/100 |
| Missing | sector, business model, homepage, video or image, funding rounds, markets, not claimed |
| BI Verification | Ayelet Levi Shinebox |
| Registrar ID | 517128203 |
| Phone | 0667345138 |
| Creator | Zach Bergerson |
| Creator email | zach@skyhoop.io |
| Last update | 2025-04-14T00:00:00.000Z |
| Created | 2025-04-14T00:00:00.000Z |
| Claimed | Yes |