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Q1 2026 ยท United States

Robotics Startups in United States to Watch, Q1 2026

9 robotics startups based in United States ranked by GitHub engineering acceleration. Filtered from our broader Robotics sector rankings.

#CompanyStageCommits (14d)ChangeContributorsSignal
1drone-plugins

View signal profile โ†’
Growth3+999%90Deploy frequency spike
2cyberbotics

Developers of Webots

View signal profile โ†’
Growth3+999%141Engineering hiring burst
3copper-project

Home for copper-rs, the deterministic robot OS built in Rust.

View signal profile โ†’
Series A/B67+235%34Infrastructure buildout
4innate-inc

Physical AI Agents

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Seed134+49%15Engineering hiring burst
5StanfordVL

Research Codebase

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Growth32+10%57Framework migration
6reportportal

AI-powered Test Automation Dashboard

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Series A/B1+0%31Framework migration
7ros-navigation

ROS Navigation Stack

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Growth18+0%383Framework migration
8zapplyjobs

Free job boards and career resources for students & new grads

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Pre-seed30-6%7Deceleration
9OpenSCvx

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Pre-seed69-18%6Deceleration
Powered by VC Deal Flow Signal , real-time GitHub engineering data for investorsData from public GitHub API

Sorted by commit velocity change (14-day window, descending). Data last updated Q1 2026. Geography from GitHub org profiles.

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Frequently Asked Questions

Which robotics startups in United States are showing the strongest engineering signals in Q1 2026?

In Q1 2026, drone-plugins leads robotics startups in United States with 3 commits over a 14-day window (+999% change) and 90 active contributors. Across all 9 tracked United States-based startups in this sector, the average 14-day commit velocity is 40 commits. The dominant signal pattern is "Framework migration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.

How does the United States robotics startup ecosystem compare to other regions?

United States accounts for 9 of the robotics startups in our tracking dataset for Q1 2026. This geographic view filters the broader sector rankings to help investors focused on United States-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.

How is startup geography determined in these rankings?

We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (United States, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.

Related Sectors

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21-47 days
Signal Lead Time (median 31d)
350+
GitHub Orgs Tracked
90 sec
Per Scan
20
Sectors

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