COMPANYAI & Core TechnologyData, Identity & AnalyticsE-commerce Platform

Trigo

Trigo is a computer vision SaaS for cashierless checkout, loss prevention and retail analytics.

Trigo operates in the Unclassified segment.

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Founded
2018
Headquarters
150 Menachem Begin road, Tel Aviv, Israel 6492105
Core Segment
Unclassified
Company Size
50–200
Official Links
Website
Verified
2026-03-12

Trigo: About

The company operates an enterprise SaaS model built on computer vision and data analytics for physical retail. It ingests video from existing CCTV and ceiling‑mounted cameras plus POS data to construct anonymous virtual baskets, detect loss events, and generate real‑time invoices and store‑level insights. Value is created by reducing shrink, lowering labour needs at checkout, shortening queues, and improving store layout and assortment decisions through richer behavioural data. Implementations typically integrate with retailers’ existing infrastructure to minimise additional hardware capex, and can be procured via cloud marketplaces for easier IT and procurement alignment. The business scales through multi‑store and multi‑country roll‑outs with large grocery and convenience chains, often starting with pilots before estate‑wide deployment.

Trigo: Market Position

Trigo Vision Ltd is an Israel-based computer vision company focused on brick-and-mortar retail. It provides software that uses existing in‑store CCTV and ceiling‑mounted cameras, combined with POS data, to track shopper interactions, detect loss events, and enable cashierless or reduced‑staff store formats. The platform also generates analytics on traffic patterns, basket composition, and product placement effectiveness.

The company monetises primarily through enterprise SaaS subscriptions and multi‑year contracts with grocery and convenience retailers, often deployed store‑by‑store and available via cloud marketplaces such as Microsoft Azure. Its customers are large supermarket and convenience chains, along with their loss‑prevention, operations, merchandising, and analytics teams seeking to reduce shrink, automate checkout, and optimise store layouts and assortments.

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