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Inputs
Broadcasts
Lectures
Courseware
Bodycam
Surveillance
Archives
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Outputs
Timestamp
Confidence
Window
Video understanding.
Not keyword matching.
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Scene-level understanding.
Queries are matched against what actually happens on screen — actions, objects, emotions, and context — not filenames or captions.
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Precise timestamp retrieval.
Answers land on the moment, not the neighborhood. Timestamps are returned with millisecond precision and a confidence score.
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ChronoSeek Retrieval Specifications
Retrieval
Input:
A video file or URL
Query:
A plain-language description of the moment you are looking for
Returns:
Timestamp • Confidence • Window
Precision:
Millisecond, down to the frame
The network
Runs on:
Bittensor, as a subnet of competing
miners and validators
Scoring:
Validators score responses against ground truth and synthetic tasks
Access:
REST — POST /v1/seek
Status:
In active development
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Video, audio, and context.
Models reason across the visual track, the soundtrack, and temporal context together, so “when the alarm starts” works as well as “when the door opens.”
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A network that keeps improving.
Competing miners are continuously scored on accuracy, so retrieval quality compounds over time — no single-vendor ceiling.
Anywhere footage is long
and moments matter.
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Media
Platforms and broadcasters.
Deep search across catalogs. Jump viewers straight to the scene they came for.
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Education
Lectures and courseware.
Students find the exact explanation they need inside hours of recorded classes.
No scrubbing, no manual tagging, no rewatching hours of footage.
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Security
Surveillance review.
Describe an incident in words and surface it from days of footage in seconds.
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Agents
AI agents and tooling.
Give autonomous agents temporal eyes: video becomes a queryable data source.
