Hypotenuse AI

AI platform for ecommerce product data and content

freemium· for mid-market

Hypotenuse AI handles the catalog production work merchandising teams usually split across copywriters, data ops, and photo editors. It writes product descriptions in a trained brand voice, fills attribute gaps through AI enrichment, and reformats product images to a consistent studio look. Built for ecommerce operators and catalog managers at mid-market and enterprise retailers, it also publishes directly to storefronts and tracks how generated content performs against SEO and generative search visibility.

> pick this if

Pick this if you're a mid-market or enterprise retailer where catalog throughput — descriptions, attributes, and image standardization — is the bottleneck between PIM and live PDPs, and you want a single vendor instead of stitching a copy tool, an enrichment tool, and a photo editor.

> look elsewhere if

Look elsewhere if you run a small catalog with fewer than ~500 SKUs, need deep PIM/ERP-native workflows (Akeneo, Salsify) where enrichment must stay inside the system of record, or require human-written editorial copy for a prestige or highly regulated category.

> Hypotenuse AI is built for

platform-agnostic

> what it does for ecommerce

Generate product descriptions tuned to a defined brand voice
Auto-enrich missing attributes across large catalogs using AI
Clean and standardize product imagery to studio-grade output
Publish copy directly to storefronts and track page performance
Optimize listings for both traditional SEO and generative search

> how you'd use it

Mid-market fashion retailer, $30M GMV, 6-person merchandising team with 2 copywriters
Launching 400–600 new SKUs per season across 3 regional storefronts on Shopify Plus, with seasonal drops that currently take 4 weeks from PIM-ready to live due to copywriting and image retouching bottlenecks
→ Compresses the copy + image prep cycle to under a week by generating brand-voice descriptions in bulk and standardizing supplier photography to a single studio look, freeing copywriters for campaign and editorial work
Enterprise home goods marketplace, $120M GMV, catalog ops team of 15 managing 80K SKUs
Cleaning up a catalog where 40%+ of SKUs have missing attributes (material, dimensions, care) that break faceted search and Google Shopping feeds
→ Closes attribute gaps across the long tail without standing up an offshore data-ops pod, and tracks which enriched pages actually gain traffic in both Google and AI Overviews
DTC beauty brand, $8M GMV, founder + 3-person growth team with no in-house studio
Rolling out 50–100 new SKUs a year from supplier-provided photography that arrives inconsistent in background, lighting, and crop
→ Ships PDPs with consistent imagery and SEO-tuned copy without contracting a photo studio or freelance copywriter per launch

> Hypotenuse AI use cases

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