Media & Entertainment organizations are sitting on a rapidly growing deluge of unstructured, multi-modal content—dailies, archives, interviews, behind-the-scenes, marketing footage, and more. These assets are fragmented across systems, difficult to search, and largely impossible to monetize efficiently. While generative AI is creating a major opportunity to make content “AI-ready” through metadata and structure, today’s legacy solutions are primarily cloud-based, forcing studios to upload massive libraries—an approach that is often infeasible due to cost, bandwidth, security constraints, and operational complexity. 

At the same time, the industry lacks a true solution for in-place compute, where media can be processed securely wherever it already lives. Without that, studios remain blocked from unlocking what matters most: contextual metadata and multi-modal synthesis that make video content discoverable, reusable, and commercially valuable. 

Crisp AI solves this problem by making video content instantly discoverable for editors, agents, and enterprise teams. Crisp indexes dailies and archives into structured, timecoded moments, allowing teams to instantly find the right take, the right scene, and the right clip—and push it directly into production workflows such as Adobe Premiere, Avid, or media asset management systems like Iconik. Crisp operates as a secure, enterprise-grade intelligence layer that transforms raw media into searchable, contextual information that enables faster editing, better reuse, and new monetization pathways. 

Here's a product introductory video:  https://vimeo.com/manage/videos/1138740063

Crisp AI

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Crisp AI

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