Layer is positioned as an AI operating system and creative work platform for creative teams, with the core goal of helping brands efficiently produce content that is stylistically consistent and can pass review directly.
Purpose Layer is aimed at teams that need to produce brand content at scale, including creative producers, artists, art directors, creative strategists, and marketing and growth teams. It centralizes multiple leading generative models into one workspace, allowing teams to generate and edit assets, collaborate, and scale production without having to switch between multiple tools. According to official statements, the platform is used by more than 300 entertainment brands and serves more than 10,000 artists, producers, and growth teams.
Main capabilities
- Multimodal generation and editing: Supports the creation and refinement of images, videos, 3D models, and audio, integrating more than 300 models behind the scenes and continuously adding new models.
- Style training: Through custom LoRA and reference sets, Layer can be trained on your own work to learn brand styles and published works, enabling creative work to pass review on the first submission.
- Precise editing: Supports detailed operations such as masking, inpainting, relighting, retopology, and recutting, and can edit and refine individual assets or assets in batches.
- Agentic creation: After providing a creative brief to the Creative Agent, it will research, select models, generate, and optimize, and users can participate at every step.
- Workflow automation: Layer Workflows are agent-driven workflows for creative production that can automate multi-step tasks such as ad variants, localized creative, and recurring content deployment.
- Brand differentiation and customization: Provides LoRA training, voice cloning, agent skills, and connectors to build recognizable brand assets on top of general foundations.
- Data-driven iteration: Can connect to AppLovin, Meta, Google Ads, TikTok, Chartboost, and Sensor Tower, allowing the next batch of creative to reference the delivery performance of the previous batch.
- Tool integration: Integrates with Photoshop, Premiere Pro, After Effects, DaVinci Resolve, Blender, Unreal, Unity, Figma, and Slack.
- API and MCP: All in-app capabilities can be invoked through REST API and MCP, enabling Layer to run in users' own pipelines and agents.
- Enterprise-grade security: Provides SOC 2 Type II, SSO/SCIM, role-based access control, and exportable audit logs by defaultcustomer data is not used to train foundation models.
How to use Users can generate and edit assets in a unified workspace and automate through node workflows and agents; they can also embed Layer into existing production pipelines through REST API and MCP. The official FAQ mentions that the platform uses usage-based pricing, with no per-seat charges, and uses Creative Units (CU) to measure consumption of models and tools. Teams can add members through shared quotas. Subscription options can adapt to teams of different sizes, with costs growing with production volume rather than headcount.
Applicable scenarios Suitable for brand assets, advertising and social creative, product and campaign visuals, and any brand content that needs to be produced in batches. Examples listed officially include character design, scenes, props, textures, animation, video ad hooks, subtitles, voiceover, 3D models, and more.
Limitations Details such as the platform's specific pricing amounts, availability of each model, free quota, and the amount of data required for training are not yet provided. The official statement emphasizes that customer data is not used to train foundation models, but other data processing details are not elaborated in the materials.
