Our core capabilities in action
We curate paired, long-to-short multimodal data for film, with clean, time-aligned tracks for dialogue, music, and visuals. These pairs enable high-fidelity generation and distillation from long footage into polished short-form assets while preserving temporal synchronization.
| Input Video | |
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| Music Track | |
| Dialogue Track | |
| Sound Effect Track |
Joint audiovisual learning applied to teaser generation — distilling a long video into a compelling short-form clip.
| Input Video |
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Our NeurIPS-accepted work treats existing footage as reusable memory — a growing library of grounded experiences the system can reference, recombine, and adapt to new contexts at scale.
The model retrieves memory from existing footage and incorporates it into generation to produce coherent short-form content.
| Input Video |
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A proprietary architecture for simultaneous audio-video editing — treating modalities as one coupled stream so changes in motion, events, or structure remain temporally and semantically aligned.
Models trained on binaural and spatial audio, enabling physically grounded 3D soundscapes that strengthen the system's sense of where events occur in the world.
Our downstream application transforms ordinary video into real-time multimodal experiences. The system synchronizes visual understanding, spatial audio, and haptic feedback so users can move beyond passive watching.
As scenes evolve, the model captures motion, impact, rhythm, and environmental transitions, then maps them to tightly aligned feedback channels — maintaining temporal coherence across modalities.