About
Layer is an AI-powered creative operating system purpose-built for high-velocity entertainment brands, game studios, and growth teams. It consolidates access to every leading AI model into a single platform, enabling teams to automate the full creative production lifecycle — from ideation and concepting to bulk asset generation, LiveOps content, and user acquisition (UA) marketing variants. With Layer, studios can go from 22-week traditional production cycles down to 5 weeks, generating 200–500 UA assets per cycle across 10–20 markets, compared to just 25–40 assets in 3–5 markets manually. The platform supports 100+ creative variants per day, 50+ ad creatives per hour, and multi-region LiveOps refreshes — all while maintaining on-brand consistency without scaling headcount. Key capabilities include AI-powered concept generation with instant variations, rapid prototyping and auto-storyboards, bulk asset generation with direct game engine sync, automated workflows for integration, and signal-based optimization to scale winning creatives fast. Layer is model-agnostic, meaning teams are never locked into a single AI model and can leverage the best tools as they evolve. Trusted by 10,000+ artists, producers, and growth teams, Layer is designed for professional designers, marketers, and producers in the games and broader entertainment industry — no AI expertise required.
Key Features
- Bulk AI Asset Generation: Generate 200–500 UA assets and 100+ creative variants per day using leading AI models, slashing production time from weeks to days.
- Model-Agnostic Platform: Access every leading AI model from a single interface so teams are never locked into one provider and can always leverage the best available tools.
- Workflow Automation & Engine Sync: Automate the entire creative pipeline from concepting to integration, including direct game engine sync and automated asset importing.
- LiveOps & UA Scaling: Produce hundreds of on-brand LiveOps and user acquisition assets per day across multiple regions with continuous refresh and signal-based optimization.
- Enterprise Asset Management: Centralized asset management with enterprise-grade security, brand consistency controls, and collaborative tools for large creative teams.
Use Cases
- A mobile game studio generates 300+ UA ad creatives per day for 15 different markets, running rapid A/B tests to identify winning creatives and scale them automatically.
- An entertainment brand's LiveOps team produces hundreds of daily event assets and in-game promotional content across multiple regions without increasing team size.
- A growth marketing team reduces their UA variant production cycle from 2 weeks to 2 days by automating concept generation, bulk asset creation, and multi-platform formatting.
- A game developer's art team uses Layer to rapidly prototype and auto-generate storyboards during pre-production, exploring 10–20 concepts in the time it previously took to sketch 2–3.
- An enterprise gaming company centralizes all AI model access and creative asset management in Layer, ensuring brand consistency and enterprise-grade security across distributed global teams.
Pros
- Dramatic Production Speed-Up: Reduces creative production cycles by up to 77% — from 22 weeks to 5 weeks — enabling studios to move faster without growing headcount.
- Massive Scale Without Outsourcing: Enables teams to produce 1000%+ more UA variants and 200% more LiveOps output while maintaining on-brand consistency across all assets.
- No AI Expertise Required: Designed for professional artists, designers, and marketers — not AI engineers — making advanced generative AI accessible to the entire creative team.
- Future-Proof Model Flexibility: Model-agnostic architecture means teams always have access to the latest and best AI models without platform lock-in.
Cons
- Niche Industry Focus: Primarily designed for game studios and entertainment brands, which may limit its appeal or utility for general creative or marketing teams outside that vertical.
- Enterprise Pricing Opacity: Full-scale enterprise features and pricing require contacting sales, making it harder for smaller studios to quickly evaluate total cost.
- Learning Curve for Workflow Setup: Setting up automated pipelines and engine syncs may require initial onboarding time, especially for teams new to AI-assisted production workflows.
Frequently Asked Questions
Who is Layer designed for?
Layer is purpose-built for game studios, entertainment brands, and growth teams — including professional artists, designers, marketers, and producers — who need to produce large volumes of on-brand content without scaling headcount or requiring AI expertise.
What types of content can Layer produce?
Layer supports user acquisition (UA) assets, LiveOps content, IP-based creative content, ad creatives, concept art, storyboards, and marketing visuals — all at scale and across multiple markets.
Is Layer locked into a specific AI model?
No. Layer is model-agnostic, meaning it integrates with every leading AI model. Teams can use the best available model for each task without being locked into a single provider.
How much faster is Layer compared to traditional workflows?
Layer reduces production timelines by approximately 77% — cutting a typical 22-week workflow down to 5 weeks — while enabling 500–1000% more UA variants and 1000%+ daily asset output compared to manual processes.
Does Layer offer a free plan?
Yes, Layer offers a free tier to get started. Enterprise plans with advanced features, security, and dedicated support are available by contacting the sales team.
