Company Directory › Robotics & hardware › Shotwell
Profile not yet claimed. This profile was compiled by GlobleMatch from public sources on 11 November 2026. It has not been reviewed or endorsed by Shotwell, and a listing does not imply a partnership with GlobleMatch. If you represent Shotwell, you can claim this profile to verify and manage it — or request a correction or removal.
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ShotwellNot yet claimed
Shotwell provides fast, dense annotations for robotics training data: it segments long videos into discrete steps, captions each step, and detects failures step by step.
About Shotwell
Shotwell (Shotwell AI) annotates the footage robot teams already collect. It accepts egocentric, teleoperation, UMI or deployment footage (MP4, MCAP, LeRobot) and returns labels as JSON or CSV within 24 hours, per the company.

Its annotation combines subtask segmentation with sub-second boundaries checked against the customer's SOP, dense plain-language captions of each step, and failure detection with rubric verdicts and out-of-distribution flags. Shotwell also publishes Shotwell-Bench, an annotation benchmark that accepts valid alternatives.

Products & services
- Subtask segmentation — sub-second boundaries for every step of an episode, checked against the customer's SOP
- Dense captions — plain-language description of what happens in each step, in the words models use
- Failure detection and quality checks — rubric verdicts for every step and out-of-distribution detection; accepts egocentric, teleoperation, UMI or deployment footage (MP4, MCAP, LeRobot) and returns labels as JSON or CSV within 24 hours
- Shotwell-Bench — an annotation benchmark that accepts valid alternatives
Questions partners ask
Shotwell annotates robotics training footage — egocentric, teleoperation, UMI or deployment video — with subtask segmentation, dense per-step captions and failure detection, returned as JSON or CSV within a stated 24 hours.
Shotwell-Bench is the company's published annotation benchmark, designed to accept valid alternative annotations rather than a single reference answer.
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| Last verified | 11 November 2026 — facts on this profile were checked against the sources listed below. Profiles are re-checked on a published 90-day cycle; this date is never quietly refreshed. |
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Sources & verification
- Company website — shotwell.ai (homepage and product descriptions of segmentation, captions, failure checks and Shotwell-Bench; the pages checked state no headquarters or founding year). Checked 11 November 2026.
- Figures described in this profile as company-stated come from the company’s own public materials and were not independently audited by GlobleMatch.
Facts last verified: 11 November 2026. Something wrong? A listed company can request a correction or removal at any time; verified requests are actioned.
Related companies
More in Robotics & hardware: Slamcore (United Kingdom · Robotics software — visual SLAM, indoor positioning (RTLS) and spatial) · Smart Robotics (Netherlands · Platforms & Software — Embodied AI & Robot Software; palletising) · Spirit AI (China · Humanoid / general-purpose robots — embodied AI (vision-language-action) models)
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Profile facts
| Industry | Platforms & Software — Embodied AI & Robot Software; dense annotation of robotics training data (subtask segmentation, captions, failure checks) |
|---|---|
| Official website | shotwell.ai |
| Profile status | Not yet claimed |
| Facts last verified | 11 November 2026 |
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