Enterprise

Four million visitors. Four million storefronts.
Generated on arrival.

Programmatic personalization inside your enterprise stack. Video and image, generated per visitor, traced to conversion.

Enterprise licence · runs in your stack
A desk monitor showing a rav.ai analytics dashboard: a rising trend line above three cohort rows, each with product thumbnails, a sparkline, and a positive revenue-per-visitor change.
In your stack

One layer. Decides and generates.

Decisioning engines choose among the assets you already shot. This one makes them.

Your customer data

Loyalty, POS, or just session signals

People on laptops, phones, a monitor and a tablet on the left; shoppers at a checkout, an order-pickup shelf and store shelves on the right. A dotted trail of cursors, cookies, receipts and scan codes converges from both sides into a single teal point.

rav.ai

One layer, both jobs

Decisioning

Who sees what

Generation

Makes the asset

Your app

Your site

Your kiosk

Leverage a decision layer that lives in your stack using your loyalty data or even a handful of session signals.

Same product, same brand

What each surface actually renders.

One storefront per customer, across app, web and in-store — and it doesn’t stop at three.

One generic storefront at the top branches into three: an in-store kiosk labelled third visit this week, a phone labelled 7am same order, and a laptop labelled redeems every offer. Each shows the same shoe in a different generated scene, with further faded variants continuing below.
Request access

See it on your surface.

Tell us where your customers land and what you already know about them. If it's a fit, we'll show rav.ai running on your own storefront.

Twenty minutes, on your traffic
Measured against a held-out control
We reply to qualified requests within a few days
By request · we reply to qualified brands

Request received.

We review each one personally — if it's a fit, we'll email you a link to book.

Patent-pending creative optimization