Highlights
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About
In-store Checkout Intelligence
Eyezon's mission is to make the checkout process in physical stores completely friction-less. Eyezon uses deep learning and advanced computer-vision technologies to track shoppers inside the store and accurately determine what products they picked up. No scanning or tills are required. With Eyezon, retailers can eliminate cashier positions and improve conversion. The technology provides real-time shelf and product availability analysis and improved supply chain efficiency. It offers users a better understanding of shoppers' behavior based on video analytics and can help reduce theft.
Identity
| Name | Eyezon |
|---|---|
| Slug | eyezon |
| Type / kind | startup |
| Crunchbase ID | eyezon |
| Source _id | agxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICAoMOd7IEJDA |
Status
| Status | inactive |
|---|---|
| Status reason | Non Active, Aug 2024 ceased to operate |
| Last update | 2026-05-17 |
Location
| HQ country code | IL |
|---|---|
| HQ region/district | Center District |
| HQ city | Tel Aviv-Yafo |
| HQ address | HaArba'a Street 21, Tel Aviv-Yafo, Israel |
Web & social
| https://www.linkedin.com/company/35453737 |
Classifications
Primary sector Business Software
Sub-sectors
Business SoftwareSales & Marketing Solutionse-Commerce Tools
Technologies
Artificial IntelligenceDeep LearningComputer VisionMachine Learning
Target customers
Commerce & RetailDistribution ChannelseCommerce PlatformsBrick & Mortar
Business models
B2B
Tags
artificial-intelligenceecommercedeep-learningin-store-digitalizationmachine-learningshopping-experiencecomputer-visionpaymentsdata-analyticsvideo-platformretailersretailretail-technologyself-checkout
Funding
| Total raised | $2.2M |
|---|---|
| Current stage | Seed |
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