The 21 Robotics companies that produced the most founders (2026)

A founder factory is a company whose people leave to start companies of their own. This ranks every company in the graph by how many of its alumni — people who founded it or worked there — went on to found at least one company, counting only ventures started no earlier than the company itself.

Refreshed 2026-09-13 · updates nightly
Founder factories · RoboticsAlumni who went on to found companiesRIVR: 5 alumni founded 3 companiesRIVR5Swiss-Mile: 5 alumni founded 3 companiesSwiss-Mile5Andromeda: 4 alumni founded 8 companiesAndromeda4Sunday: 4 alumni founded 3 companiesSunday4Mimic: 4 alumni founded 1 companiesMimic4Mimic Robotics: 4 alumni founded 1 companiesMimic Robotics4Rhoda AI: 3 alumni founded 4 companiesRhoda AI3Seneca: 3 alumni founded 4 companiesSeneca3Figure: 3 alumni founded 2 companiesFigure3Robust AI: 2 alumni founded 3 companiesRobust AI2Sanctuary AI: 2 alumni founded 3 companiesSanctuary AI2Lifeline Robotics A/S: 2 alumni founded 2 companiesLifeline Robotics A/S2Standard Bots: 2 alumni founded 2 companiesStandard Bots2Sunday Robotics: 2 alumni founded 2 companiesSunday Robotics2UMA: 2 alumni founded 2 companiesUMA2
# Company SectorHQFounded Founders Companies started
1 RIVR Robotics 5 3
2 Swiss-Mile Robotics 5 3
3 Andromeda Robotics 4 8
4 Sunday Robotics 4 3
5 Mimic Robotics 4 1
6 Mimic Robotics Robotics 4 1
7 Rhoda AI Robotics 3 4
8 Seneca Robotics 3 4
9 Figure Robotics Sunnyvale, USA 2022 3 2
10 Robust AI Robotics 2 3
11 Sanctuary AI Robotics 2 3
12 Lifeline Robotics A/S Robotics 2 2
13 Standard Bots Robotics 2 2
14 Sunday Robotics Robotics 2 2
15 UMA Robotics 2 2
16 Vicarious Robotics 2 2
17 Andromeda Robotics Robotics 2 1
18 Armstrong Robotics Robotics 2 1
19 General Autonomy Robotics 2 1
20 Nuro Robotics Mountain View, USA 2016 2 1
21 Progressive Robotics Robotics 2 1
How this is counted. A person counts as an alumnus of a company if they founded it or worked there. They count towards the company’s score if they went on to found at least one other company that was started no earlier than the company itself. Universities and other non-commercial organisations are pruned from the graph where we can identify them. Data is community-corrected — fix something.