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Capability · 18

18 · Practice

Generative IP & Worlds

Brand IP engineered to survive the AI age, and scale inside it.

Generative IP & Worlds

Definition

An IP practice built for the generative era. We package a brand, character, or world into a deterministic creative system, bibles, model fine-tunes, LoRAs, style locks, prompt grammars, and rights frameworks, so any team, any model, any market can generate on-brand assets without the work drifting off-system. The output isn't a campaign. It's the operating layer your AI tools, agencies, and partners build against.

For

  • 01Brands turning identity into a generative system instead of a static guideline.
  • 02Studios, networks, and franchises productizing characters, worlds, and universes for AI-native pipelines.
  • 03Platforms and IP holders licensing likeness, style, and world to downstream AI partners.

What we ship

05 sub-practices

Each line below is a standing offer. Scoped, priced, and led by a named practice lead. Mix and match across a brief; nothing here is a one-off.

Brand & Character LoRA Packs

Trained model packs, characters, products, environments, style, versioned, documented, and shipped with usage rules. Drop into Flux, SDXL, Wan, or partner stacks.

FluxSDXLComfyUIWanKohya

Generative Brand Bibles

Prompt grammars, negative locks, color and lens lexicons, and approval lanes, the rules your AI tools obey when no human is in the loop.

ComfyUIRunwayMidjourney

Worlds & Universe Systems

Persistent worlds for episodic, gaming, and franchise IP, environments, lore, casting, and continuity built once and exported to film, game, and realtime engines.

UnrealHoudiniGaussian Splatting

Rights, Provenance & Governance

Chain-of-custody for training data, likeness, and derivative output. Audit trail, usage policy, and indemnity framework built in from day one.

C2PACustom provenance pipelines

Agent & Tooling Integration

We wire your IP system into the agents, plugins, and internal tools your teams already use, so brand compliance is the default path, not a review gate.

MCPn8nCustom agents

Outcomes

  • A canonical generative source of truth, not a Figma file, not a PDF.
  • On-brand AI output at scale, across teams, agencies, and models.
  • Defensible rights position: every asset traceable to a licensed source.

Process

  1. 01Audit: what is the IP, where does it live, what does it own.
  2. 02Train: build the model packs, LoRAs, and grammars that encode it.
  3. 03Wire: integrate into the brand's tooling, partners, and approval flow.
  4. 04Govern: version, document, and patrol the system as the IP evolves.

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