Asset Intelligence

A creative filespace with an agent that understands media like a teammate.

Search footage by transcript, people, objects, scene descriptions, and custom metadata so every approved shot, quote, and archive clip can be reused.

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Automatic labeling

A library that organizes itself automatically as media arrives.

Aspect extracts transcripts, tags, faces, objects, and other metadata automatically as files arrive, turning every upload into something your team can search, filter, and reuse.

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Narrator

The Ross Ice Shelf stretches before them, an immense plain of white merging with the pale Antarctic sky. Crevasses split the surface in jagged blue-green wounds. Two figures move in a slow, roped procession across the fractured ice.

Climber 1 — Oskar

Yuki, ちょっと待って. You see that ridge line about two hundred meters out? 氷が薄く見える, almost translucent. We should anchor here and probe ahead before we commit to crossing.

Climber 2 — Yuki

うん, I noticed it too. The color shift — たぶん下に水が流れてる. Let me get the ice screws set. 持つかどうか試そう. If not, we reroute east along the shelf edge.

Transcription

Transcripts and speaker detection are created automatically as footage uploads, so dialogue, interviews, and spoken moments are searchable without manual logging.

Auto-tagging

Define the labels that matter to your team, then give Aspect written guidance or examples so new and existing assets are tagged the way your team expects.

Faces

Upload samples of people you want to recognize, then label matching assets across your existing library and future uploads.

Agent mode

Use the built-in agent or connect the assistants your team already trusts.

Work with the agent in Aspect, or give Claude, ChatGPT, and other AI tools secure access to your media library through MCP so they can search files, understand metadata, and work with the same context your team uses.
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Security

Your media stays yours. We never train AI models on customer data.

Aspect uses proprietary AI models with isolated cloud processing for each customer workspace. Folders and projects can be excluded from AI indexing with one click, and content is never retained for model training.