Computer vision AI for retail loss prevention and autonomous checkout
Trigo builds computer vision AI systems for retail operations, with a product portfolio spanning loss prevention, autonomous stores, and operational analytics. The tech stack reveals a mature data infrastructure—Python, scikit-learn, BigQuery, dbt, Airflow—paired with multi-cloud deployment (GCP, Azure, AWS) and Kubernetes orchestration. Engineering and data hiring is concentrated and deliberate (12 of 13 open roles), suggesting focused product development rather than rapid scaling.
Trigo is a computer vision AI company serving global retail chains with solutions for loss prevention, autonomous checkout, and store operations analytics. The company operates across three primary product lines: AI-powered theft and shrink detection, cashier-less store infrastructure, and data intelligence dashboards that surface operational insights from store-level sensors and transactions. Their platform ingests and processes production data from physical retail locations, requiring both real-time inference (computer vision models at the edge) and batch analytics (warehouse modeling and dashboarding). Trigo is based in Tel Aviv and maintains active engineering operations in Israel and Germany.
Python, scikit-learn, PostgreSQL, BigQuery, dbt, Apache Airflow for data pipelines. Deployment via Kubernetes, Terraform, Helm, and ArgoCD on GCP, Azure, and AWS. Dashboarding with Looker, Tableau, and Power BI.
51–200 employees. Founded in 2018, privately held, based in Tel Aviv.
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