Layer AI

One workspace covers image, video, 3D, and audio generation, with 109 image models, 146 video models, 41 3D models, and 31 audio models available at the time of writing. That breadth matters when a single project spans a hero image, a video hook, and a 3D prop. You don't have to pick one vendor's aesthetic and live with it. Nor do you have to pay for three separate subscriptions.

You can train a style on a studio's own assets so every output stays consistent and on-brand, regardless of which model produced it. For teams shipping a franchise, that consistency is the difference between a pile of decent one-off images and a coherent visual identity.

Multi-step production gets composed as node-based workflows, and those workflows are callable from the API and from MCP. Build it once, run it forever. A process like generate then upscale then remove background can run on hundreds of assets without manual clicks.

Hand the agent a brief and it can research trends, develop concepts, select models, build workflows, and generate assets. It's aimed at user acquisition work in particular, where the volume of creative to test is high and the manual loop is slow. Less clicking, more shipping.

Layer AI can generate playable HTML games and ads from your brief and project assets. That's the highest-intent ad format, and it usually sits behind an engineering backlog. Here, it's a prompt. A playable ad generator that doesn't need a developer is a rare thing, and it's one of the clearest reasons a UA team would pick this platform over a generic model.

Layer AI doesn't stop at generation. You can edit with prompts, change a camera angle on a finished image, re-light a shot without touching the subject, upscale to print resolution, and strip background or audio noise in batch. Editing an existing asset is often faster than prompting for a fresh one. That's the part most model-only tools miss.

A versioned REST API, a creative MCP server, and a separate management MCP server expose generation, editing, workflows, training, and workspace admin. Credentials are self-serve, and every generation has a matching estimate operation, so you can price a run before executing it.

SOC 2 Type II certification, SSO through Google, Microsoft, Okta, and Azure AD, SCIM provisioning, and role-based access control cover the procurement checklist. Your data is never used to train foundation models, and generated assets stay exclusively yours with exportable traceability.

Creative Units are pooled across the team, so billing follows usage rather than headcount. Add a freelancer for a week and the seat cost stays at zero. That's a real difference from most per-seat creative tools.