Trigo offers a vision‑AI platform that turns existing in‑store camera feeds into real‑time loss‑prevention alerts, autonomous checkout, and detailed shopper behavior analytics. Using proprietary non‑biometric computer‑vision algorithms, the system processes millions of shopping events while preserving privacy and delivers insights through cloud dashboards and API integrations for large retailers.
Funding
$100M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
6OTHFounders
Product
Problem
Retail stores face high shrinkage from theft, inefficient checkout processes, and limited visibility into shopper behavior, leading to lost revenue and suboptimal operations. Traditional loss‑prevention and analytics tools often rely on manual monitoring or biometric data, which can be costly, invasive, and difficult to scale across large store networks.
Solution
Trigo provides a vision‑AI platform that analyzes video streams from existing in‑store cameras to deliver real‑time loss‑prevention alerts, autonomous checkout capabilities, and actionable retail intelligence. Using proprietary non‑biometric computer‑vision algorithms, the system tracks shopper interactions, classifies products, and detects suspicious behavior without storing personal identifiers, ensuring privacy compliance. Processed data are aggregated in the cloud where retailers can access dashboards, alerts, and analytics to optimize staffing, inventory placement, and store layout. The solution integrates via standard APIs and can be deployed on‑premise or through cloud marketplaces such as Microsoft Azure, allowing seamless adoption across multi‑store operations.
Target Audience
Primary customers are large‑format retailers, supermarket chains, and specialty stores seeking to reduce shrinkage, automate checkout, and gain data‑driven insights into in‑store shopper behavior.
Features
- Real‑time theft detection with instant alerts based on non‑biometric visual cues
- Autonomous checkout that recognizes products and shopper actions to enable frictionless payment
- Product classification and interaction analysis for detailed shopper behavior insights
- Scalable cloud analytics pipeline handling tens of millions of shopping events per year
- Privacy‑by‑design architecture that processes only anonymized visual data, avoiding biometric storage
- API and SDK integrations for easy connection to existing POS, ERP, and store management systems
- 24/7 support and deployment options across on‑premise, edge, and Azure Marketplace environments