ViewForge VS Caniqo

ViewForge's answer

Data ownership. Fitment lives in your Shopify metaobjects, so uninstalling does not take your compatibility data with it. Convermax, EasySearch and PartFinder all keep it in their own databases, and getting it back depends on their export tooling on the day you cancel.

Cost at the low end. The search widget, the compatibility table on the product page and the saved-vehicle garage are all on the free tier, up to 50 products, with no expiry. EasySearch puts the table and the garage behind its $75/month Premium plan. Convermax starts at $250/month.

Automotive and non-automotive coverage. Eight built-in templates, and fully custom templates from $19/month, for catalogs that do not decompose into Year/Make/Model at all.

Caniqo's answer:

Competitors like Whistle and Fi require purchasing hardware and focus primarily on activity and GPS tracking — they don’t analyze your dog’s visible health. Telehealth platforms like Vetster and Pawp connect you to a vet after you’re already worried. CANIQO fills the gap in between: regular, structured health check-ins you can do from your phone in under two minutes. No device to buy, no subscription to a vet network. Just a photo, a health score, and clear guidance on whether anything needs attention. It’s the proactive monitoring layer that everything else is missing.

ViewForge's answer

Shopify merchants whose customers need to know whether a part fits before they will buy it — and who do not have an engineer on staff to build that themselves.

Concretely: auto and truck parts retailers, powersports and motorcycle dealers, tractor and agricultural parts sellers, marine and outboard suppliers, small-engine and power equipment stores, bicycle and e-bike component shops, printer supply merchants, and electronics accessory sellers.

Catalog sizes run from a few dozen products on the free tier up into the tens of thousands; it is running in production on a catalog of roughly 40,000 SKUs. The common thread is not the industry — it is that "does this fit my thing" is the question deciding the sale.

Caniqo's answer:

CANIQO is built for health-conscious dog owners who take their responsibility seriously — people who want to stay ahead of problems rather than react to them. They’re not necessarily anxious; they’re informed and proactive. They already go to annual vet visits, but they recognize that a lot can change in the 11 months in between. The product resonates especially with owners of dogs over 5 years old, large breeds with known health risks, and anyone who has experienced the stress of not knowing whether something they noticed warranted a vet call.

ViewForge's answer

ViewForge came out of agency work. Normal View was building for a parts retailer running roughly 12,000 SKUs who needed fitment search, and every app we evaluated stored the merchant's compatibility data in the vendor's own database.

That is a strange trade when you look at it directly. Fitment data is genuinely expensive to produce — it is weeks of work — and the merchant would not own the result. It would belong to whichever app happened to be installed that year.

Shopify metaobjects made a different answer possible: write fitment as native structured data inside the merchant's own store. The theme reads it, the Storefront API queries it, Admin GraphQL exports it, and it is still there after an uninstall. That decision is what the rest of the app is built around.

Everything else came from real catalogs rather than a roadmap. Eight verticals exist because a tractor catalog is not Year/Make/Model. Smart Parse exists because that retailer had already written fitment into 12,000 product titles, and nobody was ever going to retype them.

Caniqo's answer:

CANIQO was built by a founder who kept running into the same frustrating gap: dogs can’t tell you when something’s wrong, and by the time most owners notice a problem, it’s already progressed. The idea started with a simple question — what if you could monitor your dog’s visible health the same way you track your own steps or sleep? Using AI photo analysis, CANIQO translates what you can see in a photo into something objective and trackable. It’s not about replacing vets. It’s about giving everyday dog owners the visibility and confidence to catch changes early and show up to appointments with real information instead of guesswork.

ViewForge's answer

• TypeScript
• Shopify metaobjects, as the fitment data store
• Shopify theme app extensions for the storefront components: fitment search, saved-vehicle garage, compatibility table, product-page fit notice
• Shopify Storefront API, for querying fitment from the theme
• Shopify Admin GraphQL API, for writing and exporting fitment records
• NHTSA vehicle database, for VIN decoding
• ACES and PIES XML parsing, for automotive catalog import

Caniqo's answer:

CANIQO is a web app built on a modern full-stack JavaScript architecture. The frontend uses React with TypeScript, styled with Tailwind CSS. The backend runs on Node.js with Express, connected to a PostgreSQL database via Drizzle ORM. The AI health analysis is powered by Claude (Anthropic’s API).

Caniqo's answer:

∙ CANIQO is an early-stage product currently in its launch phase ∙ Our users are individual dog owners who use CANIQO to monitor their dogs’ health between vet visits ∙ We do not yet have enterprise or institutional customers to disclose​​​​​​​​​​​​​​​​

ViewForge's answer

Three things. (1) Data ownership: ViewForge writes fitment as Shopify metaobjects native to your store — most competitors store fitment in their own database. (2) 8 verticals out of the box: auto, motorcycle, tractor, marine, power equipment, bicycle, printer, electronics — most competitors are automotive-only. (3) Smart Parse: extract fitment automatically from your existing product titles and descriptions instead of re-typing everything.

Caniqo's answer:

CANIQO is the only tool that turns a simple photo of your dog into an objective health score with actionable guidance — no wearable hardware, no app download, no vet visit required. Most pet health tools are either passive trackers (step counters, GPS collars) or reactive (telemedicine after something goes wrong). CANIQO is proactive and visual: it uses AI photo analysis to detect visible health signals like coat condition, skin appearance, eye clarity, and body posture, then scores them on a 0–100 scale. Over time, those scores build into a health timeline that makes it easy to spot when something has quietly changed between vet visits.