shotwell.ai
shotwell.ai is a YC Spring 2026 (P26) company. Based in San Francisco, CA, USA. Team of 4.
About shotwell.ai
Summary
shotwell.ai builds an observability layer for robotics companies, automatically annotating video data to detect failures in both training datasets and live deployments. Customers upload raw robot operation footage and receive segmented, step-level annotations with failure detection and sub-second subtask boundaries returned within 24 hours. The product replaces manual QA review of video data, letting engineering teams scale operator oversight without adding headcount.
Business model
Per-upload or usage-based video annotation processing, with 24-hour turnaround.
Go-to-market
Robotics companies and operators buy directly; they start by uploading videos through the self-serve portal or by talking to the team via email.
From the Y Combinator listing
The Observability Layer for Robotics
Robotics companies send Shotwell their video data and we detect failures. We do this for both their training data and for their deployments. We've developed models that can automatically produce these annotations with near-instant turnaround time.
Facts
- Industrials / Industrials -> Manufacturing and Robotics
- San Francisco, CA, USA
- 4
- Active
- Early
Founders (4)
- Ali Abid
- Farhan Khan
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