Backed by a16z speedrun

Brands sell stories.
Make yours legible
to every shopper.

Built by engineers from Notion Amazon Databricks Stanford Caltech BlackRock

One product. Two readings.

Your product data stops at the description field. Kint looks at the piece itself.

What your product data says today

"Jacket.
Navy.
$240."

What Kint understands

Boxy-cut blouson, dropped shoulder, brushed cotton twill. Runs large; size down between sizes.

Pairs with the pleated trouser from the same drop. Hardware: matte gunmetal.

silhouette boxy blouson · dropped shoulder
material brushed cotton twill, mid-weight
fit note runs large · size down between sizes
pairs with pleated trouser, same collection
hardware matte gunmetal zip and snaps

One foundation. Every step of the journey.

Your catalog, understood.

Every product studied, structured, and kept current: fit, feel, fabric, occasion, styling, the story it belongs to. When AI agents do the shopping, this is the knowledge they'll read.

Discovery that reads the room.

Your grid quietly reranks to what each shopper cares about, read from how they browse. Someone eyeing lightweight layers sees breathable pieces first.

Product pages that answer real questions.

Will it fit? · Is it thick or thin? · Can I wear it to work? · What goes with it?

Kint surfaces fit notes, feel, occasion, and pairings right on the page.

Partnering with

  • Madcattos
  • SW19
  • King Kroach
"It caught that the field jacket runs a half-size large. We never wrote that anywhere — it got it from the photos and reviews."
Founder, apparel brand

See your store selling like your best associate.