A documented comparison for retail loss prevention and asset protection teams. Trigo built its computer vision for checkout-free stores and now points it at shrink, and the alternatives split on how much of the store one platform has to answer for.
Trigo Vision is a retail computer vision company whose loss prevention line covers multilayer loss prevention, loss prevention at self-checkout and an investigation product it calls IMPACT. It publishes real scale behind it: over 60 million shopping activities processed in a year, terabytes of video a day and a privacy posture stated in absolute terms, 100% non-biometric data processing with full GDPR compliance. Teams shop for an alternative when the cameras also have to answer questions outside the shrink budget, or when the requirement is real-time response rather than a prioritized case file. The five below split on exactly that.
Both platforms read the same store cameras and both find theft. They differ on when the finding becomes useful, which decides whose budget pays for it.
Every cell is something the vendor publishes, or an explicit not publicly specified.
Swipe the table sideways to see every column.
Trigo's row was read off trigoretail.com on August 13, 2026, including the IMPACT description, the non-biometric and GDPR statements, the scale figures and the stated independence from point of sale. The 2.5% of shoppers figure quoted below is Trigo's own published statistic. The other five rows come from each vendor's public documentation reviewed in July and August 2026. Gaps are marked as not publicly specified rather than guessed.
Start with the part Trigo genuinely gets right, because it is the reason it belongs on a shortlist at all. Most loss prevention tools drown a team in alerts. IMPACT is built on the opposite premise, that roughly 2.5% of shoppers cause 60% of stolen goods, so the job is to find the high-value cases and repeat offenders rather than flag every incident. It connects related incidents, captures multi-item evasion and produces structured evidence packages instead of a queue of clips. Its privacy posture is also stated more plainly than most: 100% non-biometric data processing and full GDPR compliance.
The first reason teams look further is that the same cameras are pointed at a store with other problems. The aisle tells you about shrink. The stockroom door tells you who propped it open, the parking lot tells you about the vehicle that circled three times, and the queue tells you when to open another lane. Trigo publishes a retail computer vision line covering loss prevention, autonomous retail and retail intelligence, so some of that is in scope and the security perimeter is not. Every question outside it is a separate contract on cameras already installed and already paid for.
The second is what happens at the moment it matters. IMPACT is described as a post-investigation tool that operates independently of the real-time point of sale system, which is what makes it easy to deploy and also what defines its moment: after the fact, on a case file. No on-site response, speaker or strobe appears publicly. If what you are buying is a warning while somebody is still in the store, that is a different product.
Trigo prioritizes the cases worth working. Decide whether you are buying a better caseload or a response while the incident is still happening.
What each one is, where it is strong, and what to check before you commit.
Spot AI is a software-led video AI platform that turns the IP cameras a business already owns into AI coworkers. An on-site Intelligent Video Recorder keeps full-resolution video in the building and sends only event metadata to the cloud, so search and multi-site management stay cloud-based while footage does not leave the facility.
Solink is a cloud video platform for retail and restaurant operators that pairs a site's existing cameras with point-of-sale data, so register exceptions surface as video clips. It ships three named agents, Overnight Guard, Loss Prevention and Store Readiness, alongside a customer-facing builder, and names 48 camera manufacturers publicly.
Verkada is a cloud-managed platform that sells its own cameras, access control, sensors, alarms and intercoms under one console, and publishes per-device MSRPs. Third-party cameras come in through Command Connector, which Verkada states is an ONVIF Profile S conformant client and can also ingest RTSP feeds.
Coram AI is a camera-agnostic platform built around AI search and investigation across cameras a business already owns, with named detections for firearms, falls and PPE violations, and alerts that can be built in plain English. An on-site appliance called Coram Point is purchased upfront.
Lumana is a video AI platform with documented point-of-sale integration, and it publishes its catalog rather than describing it: roughly thirty named event types under four AI agents called Insight, Monitor, Investigate and Respond, plus a response layer named action by action. Lumana Core stores and processes video on site and, in its pricing FAQ, replaces your DVR or NVR.
Six questions that separate these platforms faster than any feature list.
Write down what you want to happen the moment a detection fires. Trigo's IMPACT is explicitly a post-investigation tool, and it is good at that. Solink pairs the clip with the transaction for the same reason. Spot AI runs talk down, strobes and horns through speakers already mounted, so the response happens while the person is still there. Both are legitimate; they are not the same purchase.
Price the whole question, not the shrink line. If operations wants queue and dwell data, if safety wants slip and fall evidence and security wants the perimeter, check which platform publishes anything on each. Trigo publishes loss prevention, autonomous retail and retail intelligence. Spot AI publishes agents spanning security, safety and operations on one set of cameras. Two contracts is a legitimate answer if you chose it.
Trigo grew out of fully instrumented checkout-free stores, and it does not publish a protocol, conformance profile or third-party camera compatibility statement. Establish early whether it runs on the cameras you own at the density you have them, because that decides whether this is software or a hardware program. Spot AI takes any ONVIF or RTSP camera plus legacy analog through the Intelligent Video Recorder. Lumana states it is completely camera-agnostic.
This cuts both ways. Trigo states IMPACT operates completely independently of the real-time point of sale, which removes an integration project and a dependency. Solink's whole model is the opposite: transaction data tied to video is the investigation. Decide whether POS-linked exception reporting is central to how your team works.
Trigo is unusually clear here. Hold every vendor to the same standard: it states 100% non-biometric data processing and full GDPR compliance. Ask each shortlisted platform for both statements in writing, plus where video is stored and for how long. Spot AI keeps full-resolution video on site in the Intelligent Video Recorder and sends only event metadata out.
Trigo states it works with any camera system regardless of brand or specifications, that most deployments need minimal new hardware and that a store can be live in as little as two weeks on a single in-store workstation. Spot AI runs on any ONVIF or RTSP camera plus legacy analog through the Intelligent Video Recorder. Ask both what the store's network and back office have to carry.
Spot AI fits when the store's cameras should answer more than one department's questions. AI Security Guard covers the perimeter and the stockroom, AI Operations Assistant covers queue and dwell, AI Safety Manager covers slips and hazard zones, and Iris builds the detection nobody ships. All of it runs on any ONVIF or RTSP camera plus legacy analog through the Intelligent Video Recorder, with talk down, strobes and horns through speakers already mounted.
Trigo stays the right call for a retail security organization whose problem is caseload quality rather than coverage: too many low-value incidents, not enough of the repeat offenders and multi-item thefts that actually move shrink. Its own 2.5% statistic is the thesis of the product, and its evidence packages are built for that job. A comparison pretending a general video platform prioritizes a shrink caseload as sharply would not survive a walk of your stores.
Onboarding a store estate's cameras is the expensive part, and you only want to do it once.
Watch the AI coworkers work on your live feeds, not a demo reel.
Customer-reported outcomes from named Spot AI customers.
All Star Elite brought cash shrink down from about 6% to 1% across its store estate, and cut investigation time by more than half.
Storage Asset Management was alerted to a break-in around one in the morning, and law enforcement arrived while the incident was still in progress.
Cambridge City cut the time it takes to find footage from two hours to thirty seconds.
"The ability to formalize our incident reporting with Spot AI, keep every case in one database, and attach video directly to those cases has been a game changer."
The five covered here are Spot AI, Solink, Verkada, Coram AI and Lumana. Spot AI fits stores wanting loss prevention, operations and security from the same cameras. Solink fits POS-linked investigation. Verkada fits a single-vendor build with hardware budget. Coram AI fits investigation across a large store count. Lumana fits buyers who want camera-agnostic AI on an existing fleet.
No. Its material specifies 100% non-biometric data processing and full GDPR compliance, and it describes surfacing repeat offenders without identifying individuals biometrically. That is a clearer public position than most of this market takes, and it is worth asking every shortlisted vendor for the same statement in writing.
Not for its IMPACT investigation product, which it describes as a post-investigation tool operating completely independently of the real-time point of sale system. That removes an integration project. It also means transaction-linked exception reporting, which is Solink's center of gravity, is a different capability rather than the same one.
Trigo publishes a short timeline: a store can be live in as little as two weeks on a single in-store workstation, and it states that most deployments need minimal new hardware and that it works with any camera system regardless of brand or specifications. It publishes no protocol or conformance profile, so confirm what camera coverage and placement a deployment assumes on your own stores before you count on that timeline.
Not any more, though that is where the technology came from. Its current site leads with retail loss prevention, covering multilayer loss prevention, loss prevention at self-checkout and the IMPACT investigation product, with autonomous retail and retail intelligence as separate lines. The origin still matters for one reason: establish what camera coverage and placement a deployment assumes on your stores, because that is not published.