Kinetix develops Kamo-1, an AI video generation model that is conditioned by 3D technologies to give
Kinetix develops Kamo-1, an AI video generation model that is conditioned by 3D technologies to give creators precise shot-level control. Instead of treating video as a black box, Kamo-1 accepts 3D-aware signals—such as scene geometry, camera paths, skeletal motion, depth, and segmentation—to guide composition, movement, and continuity. Creators can start from text prompts, reference images, or source footage and then constrain results with 3D inputs to maintain spatial layout, subject identity, and consistent motion across frames.
This approach enables reliable video-to-video transformations and text-to-video generation with predictable outcomes suitable for previsualization, advertising, virtual production, and motion design. A studio interface and developer-friendly API support iterative workflows, batch rendering, and integration into existing pipelines.
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