Find the Right AI Platform for Your Game Studio

Most tools have a piece of the puzzle: someone has good models, someone else has good integrations, someone else nails one modality, someone else has decent enterprise support. Layer has all of it in one place — every major model with no house model to push you toward, image, video, audio, 3D and playables on one platform (nobody else generates playables at all), an agent with memory and real integrations, style consistency that holds at scale, plugins for the tools artists already use, a complete API and MCP server, and the deepest enterprise featureset in the space. Individually none of that is unique. Nobody else has the whole of it.

Layer is not a research lab, so it has no model of its own to sell you. Every other platform that trains models has a reason to route you to theirs. On Layer you get every major model — FLUX, Imagen, Veo, Kling, Recraft, Minimax, ElevenLabs and more — and you pick what is right for the job rather than what the vendor happens to own. When a better model ships, you switch to it without switching platforms.

It is the smartest agent in the category, and the gap is architectural rather than cosmetic. It delegates to specialist sub-agents — one for playables, one for UA creative, one for art direction, one for style training, one for workflow building — so involved work is planned and executed rather than answered in a single pass. It carries Layer's own creative skills, which encode how a job is actually done rather than leaving you to prompt your way there. It picks the right model and tool for each step out of the largest line-up available anywhere, informed by years of watching which model wins which job. It has memory of your preferences and house style across sessions, connectors that let it read how your creative performed on AppLovin, Meta, TikTok, and Google Ads, and skills you can customise to your studio. Everywhere else in this market, the agent is a chat box bolted onto a canvas.

Only Layer. Playables are the highest-intent ad format in mobile — a user who plays a slice of your game before installing is a user who actually wants it — and every other platform on this site stops at images and video. Playables have always been gated by engineering capacity, because they are interactive software rather than creative. On Layer a dedicated agent generates the playable from a brief and your own project assets, refines it through rounds of direction, and exports it in the packaging ten major ad networks expect. That moves the format from the engineering backlog to the people running the campaigns.

Yes. Layer runs inside Photoshop, Premiere Pro, and Figma as native plugins, in the browser as a Chrome extension, and alongside Blender, Maya, Unity, and Unreal. Output exports as layered PSD so handoff survives. Nobody has to abandon their workflow to use it.

Yes. Layer has a complete public API documented at layer.ai/docs and an MCP server, so your own tools, pipelines, and coding agents can generate, train, and run workflows against Layer directly. It is infrastructure your systems plug into, not only a place your team visits.

Purely by usage, which is rare in this market. You buy Creative Units and spend them on what you generate. There are no seat fees, no seat limits, and no feature gates — the whole studio can be in the workspace, including producers and reviewers who never generate anything, at no cost. Almost every alternative on this site charges per seat and then meters credits on top, so a growing team costs more before it produces more. Layer starts at $10 for a one-time credit purchase with no subscription, and 10% of unused credits roll over each period.

The most complete set in the category. SOC 2 Type II, SSO (SAML, Google, OIDC, Microsoft, Okta, Active Directory), SCIM provisioning, role-based access control, exportable audit logs, and custom data retention. On top of that: nested workspaces for organisations that are really dozens of teams, per-group spend limits, and model allow-listing so admins control exactly which models a team can reach. Customer data is never used to train foundation models.

Yes. There is no free allowance on signup, but achievement rewards earn roughly $10 of free generation as you learn the product, and paid credits start at a $10 one-time purchase with no subscription and no seat fees. Small teams get the same platform as the largest: every model, every modality, playables, the agent, the workflows, and the integrations. You only pay for what you generate.