SeeChange provides an AI-powered visual intelligence platform that detects hazards, monitors transactions, and tracks high-value items in retail environments. This technology reduces risks such as slips and theft while enhancing operational efficiency and customer experience through real-time alerts and insights.
Funding
$13.3M 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.

TPFounders
Product
Problem
Retailers face challenges in preventing losses from shoplifting, self-checkout errors, and workplace accidents, while also striving to improve operational efficiency and customer experience. Traditional methods often require significant manual effort and may not provide real-time insights for proactive intervention.
Solution
SeeChange provides a Vision AI platform that leverages existing CCTV infrastructure to automatically detect hazards, prevent losses, and optimize retail operations. The platform uses computer vision and machine learning algorithms to analyze video feeds in real-time, identifying events such as spills, mis-scans at self-checkouts, product stacking, and concealment attempts. By providing real-time alerts and actionable insights, SeeChange enables retailers to proactively manage risks, reduce shrinkage, streamline processes, and improve both customer and employee safety. The platform integrates seamlessly with existing systems and can be deployed in the cloud or at the edge, offering a scalable solution for retailers of all sizes.
Target Audience
The primary target audience includes retail chains, grocery stores, and other businesses with physical locations seeking to reduce losses, improve safety, and optimize operations through AI-powered visual intelligence.
Features
- AI-powered hazard detection for slips, trips, spills, and blocked exits, ensuring OSHA and HSE compliance
- Shrink reduction through automatic identification of mis-scans, barcode switching, and walkaways at self-checkouts
- Fresh produce recognition for faster and more accurate self-service transactions
- High-value item protection by tracking movement from shelf to checkout to exit with automated alerts
- Customizable rules engine for adjusting sensitivity of automations based on business needs
- Integration with existing CCTV systems and BI tools for seamless deployment and data analysis
- Real-time alerts and notifications for prioritized events and potential security breaches
- Self-learning AI algorithms that continuously improve accuracy and adapt to changing environments
- Ability to monitor behavior while automatically redacting personal information to protect customer privacy