Hypotenuse AI

The platform works as a PIM, a system that holds product data, content, and images in one place. It's built to answer a familiar problem: product information spread across spreadsheets, a store backend, and a folder of images. Here you manage all of it in a central source of truth, which keeps categories and attributes consistent as your catalog grows.

Enrichment is the feature that saves the most manual work. The AI fills missing attributes by searching the web, UPC codes, and spec sheets, and it can pull details like color or size straight from a product image. It then normalizes formats and fixes errors, so a record that arrived half-empty leaves ready for every channel.

Tags and categories decide whether a product surfaces in search and on marketplaces. This feature applies accurate tags and sorts each SKU using your taxonomy, whether that follows Google, Amazon, or a custom system you maintain. For a catalog with thousands of items, it's the difference between a clean structure and a pile of mislabelled listings.

You can generate thousands of unique product descriptions in one pass, each written in your brand voice and formatted to SEO best practices. The tool also covers meta titles, category pages, blog articles, and other content types, so a large launch doesn't turn into weeks of writing.

Raw catalog images rarely look uniform. This feature aligns backgrounds and shadows for a consistent look, crops and resizes based on product shape, sharpens details, and places products into lifestyle scenes. An image compliance checker then reviews shots against retailer rules before you send them out.

The platform monitors how your product pages rank across Google, Amazon, Walmart, and other retailers, and suggests keywords at the product and category level. The content is also shaped for GEO, so it's more likely to surface when buyers research through AI-driven search rather than a classic results page.