A 2026 comparison for retail and grocery leaders: camera models, platform scope, deployment economics, and which store problem each platform is built to solve.
Spot AI is strongest as whole store video AI on the cameras you already own: loss prevention, operations, safety, and security from one camera agnostic platform that deploys in under a week. Trigo is strongest at grocery specific computer vision built around autonomous checkout: its EasyOut system and item level SKU tracking run on purpose installed dense ceiling camera arrays and shelf sensors, processing over 60 million shopping activities a year on a non biometric model. The deciding factor is the job: store wide visibility and shrink across any retail format favors Spot AI, while frictionless checkout in grocery favors Trigo.
Multi format retailers that want loss prevention, deterrence, and store operations on existing cameras, live in days.
Grocery operators investing in autonomous checkout and item level SKU tracking, with the dedicated camera and sensor build out that requires.
Compiled from Trigo's public documentation and Spot AI product documentation; vendor materials checked May 2026.
Trigo data is based on public Trigo documentation as of May 2026. Gaps are marked as not publicly specified.
Spot AI layers intelligence onto the cameras a store already has: any ONVIF or RTSP camera connects to the Intelligent Video Recorder and the platform covers loss prevention, operations, safety, and security store wide. Trigo builds a dedicated sensing grid: dense ceiling camera arrays and shelf sensors installed per store, feeding a grocery specific computer vision suite whose flagship is EasyOut autonomous checkout with item level SKU tracking, processed on a fully non biometric model.
The economics follow the architecture. Spot AI's cost base is a per camera subscription on existing hardware, live in under a week per site. Trigo's model is a per store build out, justified where frictionless checkout changes the front end economics of a high volume grocery format. They answer different investment cases.
Trigo reinvents the checkout; Spot AI protects and runs the whole store. Pick by where the money leaks: the front end queue or everything else.
Both are computer vision at retail scale. The overlap ends at what the vision is pointed at.
Choose Trigo if you run high volume grocery and the business case is the front end: autonomous checkout, queue elimination, and SKU level accuracy justify a dedicated per store build out. Choose Spot AI if you run any retail format and the case is everything else: shrink on the floor and at self checkout, after hours intrusion, parking lots, and store operations, on the cameras you already own.
Both vendors publish scale numbers. The difference is attribution: the proof below is tied to named Spot AI customers with baselines.
See detection, deterrence, and case building run on your own store footage.
Customer reported outcomes from named Spot AI customers.
All Star Elite cut cash shrink from 6% to 1% across 80 sports apparel stores, and improved investigation efficiency by over 50%.
Don Franklin Auto recovered five of six stolen vehicles within an hour of the theft and passed one million dollars in total savings across 30 dealerships.
Storage Asset Management monitors about 50 unstaffed facilities remotely; break ins at a targeted site stopped entirely after a 1 AM detection led to an arrest.
"The ability to formalize our incident reporting, have all our cases on one database, and attach videos to those cases has been a game changer… cameras, case management, and people counting, it's great having that all in one system."
For store wide loss prevention, operations, and security, yes. For autonomous checkout itself, no: that is Trigo's specialty and it requires Trigo's dedicated camera and sensor build out. The two answer different investment cases.
Yes. Context aware detections cover self checkout areas, exits, aisles, and the parking lot, and every incident lands in the Cases tool as case ready evidence, on the cameras the store already has.
Spot AI is software on existing ONVIF or RTSP cameras, live in under a week per store. Trigo requires per store installation of dense ceiling camera arrays and shelf sensors, which follows a construction style project timeline.
Trigo states its model is 100% non biometric. Spot AI's detections are context aware without biometric identification, and its named agents act on behavior and events, not identity.
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