About

We built 7play.ai for the UA team whose next test needs a new mechanic.

Most playable AI engines on the market share one design choice: they are template-based builders. You bring your assets, pick a mechanic from a fixed gallery, swap in characters and copy, export. For high-volume reskinning of a winning mechanic, that is a great product.

The teams whose CPI has flattened are not asking for another way to reskin the same template. They need to test a new mechanic. The mechanic itself is the ceiling, and a fixed template gallery cannot lift it.

7play.ai is a different shape, and we kept the surface as simple as possible. UA managers come in with one input: a gameplay video. The agents reason in detail about how the game actually plays. The mechanic, the controls, the visual language, the UI patterns, the hook moments. They figure out which assets matter. If your team does not have isolated sprites, the agents generate them in place. You do not bring an asset pack. You bring a gameplay video. The rest is on us.

That is 7play.ai. An AI playable engine that builds from analysis of your actual game, without template-gallery constraints, for UA teams whose next creative test needs to find a new winner.

What this is not.

Status.

Closed beta in 2026. Onboarding design-partner studios with active playable creative on the roadmap. Apply for access. For everything else, hello@7play.ai.