Enrich product data, generate brand-aligned descriptions and prepare catalog images with Hypotenuse AI.
Hypotenuse AI is an AI-first product experience management platform for ecommerce. Its current focus is the information and imagery behind product listings: enriching attributes, generating descriptions, standardising images and preparing content for sales channels. This is broader than a general writing assistant.
The platform can use approved source material such as webpages, specification sheets, product identifiers and images to fill gaps in a catalogue. Tagging, categorisation and normalisation help align records with a retailer’s taxonomy. An inferred attribute should still be checked against authoritative product documentation.
Content generation applies brand voice and formatting requirements to titles, descriptions and other page material. Bulk imports and exports support larger catalogues, while localisation helps prepare content for different audiences. Search and AI-discovery optimisation are workflow goals, not a guarantee of ranking or sales.
Image tools include background work, cropping, upscaling and lifestyle scenes. Review workflows and guideline checks help teams inspect outputs before publishing. The product also advertises monitoring of product-page performance across major retail and search destinations.
Basic and enterprise pricing are quoted rather than shown as a fixed universal rate. Custom PIM or ERP integrations, bespoke models and access controls depend on the engagement. A free trial is offered, but that does not establish permanent free production use.
Start with a small category and compare generated descriptions with supplier specifications. Check dimensions, materials, compatibility and any regulated claims. Keep image edits faithful to the actual product, and publish only after a responsible reviewer approves the enriched data and wording.
