Hypotenuse AI

What it does

Hypotenuse AI is an AI-first product information management and content platform for ecommerce catalogs. It takes in product records, partial attributes, catalog images and existing product details, and produces enriched attributes, tags, categories, product titles and descriptions, and edited product images. Generated content can be checked against brand, legal, channel and data quality rules before publishing.

Teams use it to fill gaps in product records, generate descriptions in a set brand voice, and produce content in bulk from CSV or XLSX imports. Enrichment can draw on web search, UPC and spec sheet information, and the image editor standardizes backgrounds, crops, upscales and can place products in lifestyle scenes. The platform also monitors product rankings across Google, Amazon and Walmart and suggests keywords.

It suits ecommerce and catalog teams handling large or complex product sets, from onboarding many new products to managing extensive SKU counts. The Basic plan offers a Try for free option with one seat and 40+ languages. Enterprise features such as custom integrations with PIM, ERP and ecommerce systems, bespoke models and team access controls are set up through a demo, and additional seats and word volumes require contacting sales.

What it can do

• Enrich missing product attributes using AI from web search, UPC and spec sheets
• Generate product descriptions and meta titles in a brand voice, including in bulk
• Enhance product images: standardize backgrounds, crop, upscale and place products in lifestyle scenes
• Tag and categorize products against Google, Amazon or a custom taxonomy
• Track product rankings across Google, Amazon and Walmart and suggest keywords
• Check content against retailer guidelines with an AI quality checker

Works with

• PIM integration (custom)
• Import and export via CSV and XLSX
• Custom integrations with ERP and ecommerce platforms (enterprise)

Example workflows

Bulk enrich and describe a new product batch

Input: a CSV or XLSX file of products with partial attributes. Steps: import the file, run AI enrichment to fill missing attributes from web search, UPC or spec sheets, then bulk generate product descriptions in the brand voice. Output: enriched product records with generated descriptions ready for review and export.

Prepare product images and check guidelines

Input: raw catalog photos for a set of SKUs. Steps: apply background standardization and cropping with the bulk AI image editor, then run the AI guideline checker against retailer requirements. Output: edited images and a list of flagged inconsistencies to fix before publishing.

Before you choose

• The Basic plan includes one seat; additional seats and words require contacting the vendor
• Bespoke models, custom integrations and dedicated onboarding are part of the enterprise plan that requires a demo
• Data is stated not to train public AI models and the company states SOC 2 Type II compliance; security review support is available during procurement

Listed under

• Marketing
• Ecommerce
• SEO and AI search
• Catalog management
• Geo
• Image editing
• Pim
• Product data enrichment

Get started

The Basic plan offers a Try for free option; enterprise setup is through a demo request.

1. Create an account via Try for free on the Basic plan or request a demo
2. Import product data through CSV or XLSX in the platform's format or your own format
3. Define brand voice, taxonomy and formatting rules, and connect a PIM or sales channel if needed

Basic plan price, billing interval and trial length are not shown on the pricing page. Enterprise plan pricing requires contacting sales through a demo booking.

Source: hypotenuse.ai/pricing, checked 29 Oct 2026. Prices can change; check before you buy.

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• AI-first PXM Platform for Ecommerce | Hypotenuse AI ↗www.hypotenuse.ai
• Pricing - Hypotenuse AI ↗www.hypotenuse.ai

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.