This topic examines the software stack and vendor landscape for using licensed characters and other creative IP with generative AI: from rights‑cleared data stores and model runtimes to marketplaces of creative apps, regulatory compliance layers, and agentic brand‑management platforms. High‑profile initiatives around character toolkits (for example recent industry work to enable licensed Disney characters through AI partnerships) have made clear the practical need to pair creative model capabilities with provenance, contracted rights, and realtime governance. Relevance in early 2026 stems from three concurrent trends: widescale adoption of generative models for media and marketing, increased commercial licensing of character IP, and rising regulatory and corporate demands for auditability and vendor controls. Key tool classes include Rights‑Cleared Data Platforms and enterprise model providers (Mistral AI, Vertex AI) that emphasize governance, privacy, and controlled fine‑tuning; AI Tool Marketplaces and no‑code creative suites (Anakin.ai, Relevance AI) that surface reusable apps and agent workflows for content creation; Regulatory Compliance Tools (Monitaur, Vertex AI monitoring) for policy centralization, monitoring, and vendor governance; and Brand Agent Platforms and agent infrastructure (Xilos, Relevance AI) that operationalize branded behaviors and enforce usage rules. Practitioners building or licensing character‑based outputs must balance creative flexibility with legal and brand risk controls: implement rights metadata, use provenance‑aware model pipelines, integrate governance tooling for approval and monitoring, and choose platforms with enterprise audit and vendor‑management features. This ecosystem overview helps compare how different tools address technical production, rights management, and compliance needs when working with licensed creative IP.