Q4 2025 Rankings
Robotics Startups to Watch, Q4 2025
Robotics engineering is concentrated in few teams, but signal density is high.
Key Takeaway
In Q4 2025, 2 of 2 tracked robotics startups show positive engineering acceleration. ArduPilot leads with 98 commits over 14 days (+21% change). The dominant signal pattern is "Framework migration". Average sector commit velocity is 97 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by six to twelve weeks.
Data sourced from public GitHub activity. Read our methodology
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | ArduPilot ArduPilot development team | Growth | Unknown | 98 | +21% | 100 | +0% | 0 | Framework migration |
| 2 | commaai Building the Android of self-driving cars | Growth | Unknown | 96 | +16% | 100 | +0% | 1 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q4 2025.
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Frequently Asked Questions
What engineering signals are robotics startups showing in Q4 2025?
In Q4 2025, we are tracking 2 robotics startups with measurable GitHub engineering signals. 2 of 2 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 2 of the tracked companies. The average 14-day commit velocity across the sector is 97 commits, with ArduPilot leading at 98 commits (+21% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which robotics startup has the highest engineering acceleration in Q4 2025?
ArduPilot leads the robotics sector in Q4 2025 with 98 commits over a 14-day window, representing a +21% change from the prior period. With 100 active contributors, ArduPilot is showing a "Framework migration" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Where are the most active robotics engineering teams located?
The robotics startups we track are geographically distributed across multiple regions. Startups building autonomous robots and robotic process automation. We derive geography from GitHub organization profiles.