AI inference for the work behind your storefront
A better shopping experience depends on a lot of work customers never see: clear product information, useful imagery, organized catalogs, and responsive support.
HIPS is building an inference platform for teams bringing AI into those workflows, with language, vision, image, and specialist models connected through one service.
We are inviting early-access interest while we develop the platform.
Turn a growing catalog into usable information
Use language and vision models to explore product descriptions, attribute extraction, and category suggestions. A defined classification task can help organize incoming items or route uncertain records for review.
Keep the original product facts close to the workflow. Model output should help your team prepare accurate listings, with human review where the consequences call for it.
Give creative and support teams a starting point
Explore image generation for concepts and campaign variations. Use language models to summarize customer conversations or prepare a draft reply from the information your application supplies.
The useful question is what each model contributes to the job. Compare output quality, relevant usage units, and the settings that affect the bill.
Build around your store
Connect supported inference into the systems your team already uses. Bring a customer-owned model when your catalog or workflow calls for specialized behavior, and choose the plan whose request-data policy fits the material you send.