Hypotenuse AI
Free tierThe AI-first PXM that enriches product data, generates on-brand content, and perfects catalog images for ecommerce
Free tier available·All audiences·API available
Key strengths
AI-powered product data enrichment and attribute fillingBulk generation of SEO-optimized, on-brand product descriptionsAI product photography and image standardizationMulti-channel publishing with performance monitoringEnterprise-grade brand voice enforcement and compliance controls
Free tier + paid plans
Singapore, Singapore
Founded 2021
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Technical Setup & Integration
API Access
Hypotenuse AI exposes a documented API that allows developers to programmatically trigger enrichment jobs, content generation, and image processing workflows — enabling integration into custom pipelines without the UI.
Native Integrations
Connect directly via pre-built integrations with:
- Shopify — sync and publish product content bidirectionally
- Salsify / Akeneo / Plytix — push enriched attributes and content into your PIM
- Salesforce Commerce Cloud / NetSuite — enterprise ERP and commerce system connectors
Bulk Workflow Architecture
- Enrichment agents pull missing attributes from web search, UPC lookups, spec sheet parsing, and image-based attribute extraction (color, material, dimensions from product photos)
- Custom taxonomy mappings can be configured to align with Google, Amazon, Walmart, or proprietary category trees
- Brand voice and formatting rules are enforced via configurable guidelines applied at generation time
Image Processing Pipeline
- AI photo editing: background generation/replacement, cropping, resolution upscaling, noise reduction
- Lifestyle scene composition: places products in realistic environments (e.g., clothing on models, furniture in rooms)
- Image compliance checker validates assets against retailer-specific requirements before submission
Monitoring & GEO
- Rank tracking across Google, Amazon, and Walmart at product and category level
- AI-powered keyword suggestions and guideline compliance flagging for ongoing optimization
