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, which shapes what it is unusually good at and what it deliberately leaves alone. 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 it states in absolute terms, 100% non-biometric data with no facial recognition and full GDPR compliance. Teams shop for an alternative when the cameras also have to answer questions outside the shrink budget, when the requirement is real-time response rather than a prioritised case file, or when the store's other departments want the same footage. 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, and that decides which budget the purchase comes out of.
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 product 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 later on this page is Trigo's own published statistic. The other five rows come from each vendor's public documentation reviewed in July and August 2026 on the same five columns. 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. Trigo's IMPACT product 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 to flag every incident. It connects related incidents, captures multi-item evasion, and produces structured evidence packages instead of a queue of clips. On prioritising a shrink caseload by value, that is a genuinely good answer, and its privacy posture is stated more plainly than most: 100% non-biometric, no facial recognition, 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, the queue tells you when to open another lane, and the back office tells you whether the cash-handling procedure was followed. 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 exactly 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 the outcome you are buying is a warning while somebody is still in the store rather than a better report on Monday, that is a different product.
Trigo prioritises the cases worth working. Decide whether you are buying a better caseload or a response while the incident is still happening, because those are two different purchases.
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, which is unusual in this market. 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 newer video AI platform aimed at retail teams, with documented point-of-sale integration. Its centre of gravity is the transaction-anchored use case rather than gesture detection, so it suits teams whose loss shows up against a register entry.
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: prioritised, structured, evidence-ready. 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 if security wants the perimeter and the stockroom, 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 as long as 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 answer decides whether this is software or a hardware programme. 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 and is worth asking deliberately. 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 before you weigh the integration effort.
Trigo is unusually clear here and you should hold every vendor to the same standard: it states 100% non-biometric data processing, no facial recognition and full GDPR compliance. Ask each shortlisted platform for the same three 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 publishes no pricing. Verkada publishes per-device MSRPs. Lumana publishes its licensing model, an annual recurring licence set by camera feeds, days of storage and term, with all features standard and no tiers. Solink, Coram AI and Spot AI quote. If a business case has to clear a finance gate before a pilot is approved, that difference is worth more than a feature row.
Spot AI fits when the store's cameras should answer more than one department's questions. AI Security Guard covers the perimeter, the stockroom and the investigation, AI Operations Assistant covers queue, dwell and process adherence, AI Safety Manager covers slips, falls 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 organisation 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, its evidence packages are built for that job, and its privacy position is stated more plainly than most of this market. A comparison pretending a general video platform prioritises a shrink caseload as sharply would not survive a walk of your stores.
Onboarding a store estate's cameras is the expensive part, and it is the part you only want to do 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 a published licensing model.
No, and it states this in absolute terms. Its material specifies 100% non-biometric data processing, no facial recognition 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 operating completely independently of the real-time point of sale system and deploying with minimal overhead as a post-investigation tool. That removes an integration project. It also means transaction-linked exception reporting, which is Solink's centre of gravity, is a different capability rather than the same one.
No. No price, plan tier or contract term appears on its site. Of the platforms on this page, Verkada publishes per-device MSRPs and Lumana publishes its licensing model, an annual recurring licence set by camera feeds, days of storage and term with all features standard. Solink, Coram AI and Spot AI quote.
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 practical reason: establish what camera coverage and placement a deployment assumes on your stores, because that is not published.