The 50 Enterprise Software 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 · Enterprise SoftwareAlumni who went on to found companiesMicrosoft: 36 alumni founded 61 companiesMicrosoft36Oracle: 19 alumni founded 23 companiesOracle19Salesforce: 14 alumni founded 17 companiesSalesforce14VMware: 6 alumni founded 5 companiesVMware6Abacus: 4 alumni founded 2 companiesAbacus4Alex: 4 alumni founded 2 companiesAlex4Contrast: 4 alumni founded 2 companiesContrast4Glide Apps: 4 alumni founded 2 companiesGlide Apps4Intercom: 4 alumni founded 2 companiesIntercom4Standard AI: 4 alumni founded 2 companiesStandard AI4Much: 4 alumni founded 1 companiesMuch4Rehook.ai: 4 alumni founded 1 companiesRehook.ai4Virgin Records: 3 alumni founded 23 companiesVirgin Records3Concur: 3 alumni founded 3 companiesConcur3Herald: 3 alumni founded 3 companiesHerald3
# Company SectorHQFounded Founders Companies started
1 Microsoft Enterprise Software Redmond, USA 1975 36 61
2 Oracle Enterprise Software Austin, USA 1977 19 23
3 Salesforce Enterprise Software San Francisco, USA 1999 14 17
4 VMware Enterprise Software Palo Alto, USA 1998 6 5
5 Abacus Enterprise Software New York City, USA 2014 4 2
6 Alex Enterprise Software San Francisco, USA 2024 4 2
7 Contrast Enterprise Software New York City, USA 2018 4 2
8 Glide Apps Enterprise Software 2018 4 2
9 Intercom Enterprise Software San Francisco, USA 2011 4 2
10 Standard AI Enterprise Software San Francisco, USA 2017 4 2
11 Much Enterprise Software 4 1
12 Rehook.ai Enterprise Software Bengaluru, India 2022 4 1
13 Virgin Records Enterprise Software United Kingdom 1972 3 23
14 Concur Enterprise Software 3 3
15 Herald Enterprise Software San Francisco, USA 2019 3 3
16 Inkling Enterprise Software Chicago, USA 2006 3 3
17 Nutanix Enterprise Software San Jose, USA 2009 3 3
18 Rainforest Enterprise Software San Francisco, USA 2012 3 3
19 Ready Enterprise Software San Francisco, USA 2020 3 3
20 Holdbar Enterprise Software 3 2
21 Integration Labs Enterprise Software Bengaluru, India 2022 3 2
22 RootFi Enterprise Software 3 2
23 SirionLabs Enterprise Software New York City, USA 2012 3 2
24 Yoshi Enterprise Software San Francisco, USA 2016 3 2
25 AXDRAFT Enterprise Software Kyiv, Ukraine 2019 3 1
26 Cardinal Enterprise Software Austin, USA 2023 3 1
27 Dream Enterprise Software San Francisco, Japan 2008 3 1
28 Elyos AI Enterprise Software London, United Kingdom 2023 3 1
29 GoLorry Enterprise Software Hyderabad, India 2016 3 1
30 Hona Enterprise Software Orem, USA 2023 3 1
31 Leafpress Enterprise Software 2023 3 1
32 Meru Enterprise Software 3 1
33 Meru.com Enterprise Software Mexico City, Mexico 2021 3 1
34 Speedy Labs Enterprise Software 2023 3 1
35 OSlash Enterprise Software United States 2 9
36 Kiko Enterprise Software Boston, USA 2005 2 7
37 Cohesive Enterprise Software New York City, USA 2025 2 6
38 Erebor Enterprise Software United States 2025 2 6
39 GirnarSoft Enterprise Software Jaipur, India 2007 2 5
40 HackerEarth Enterprise Software India 2 5
41 Blaze Enterprise Software San Francisco, USA 2022 2 4
42 DroneDeploy Enterprise Software San Francisco, USA 2013 2 4
43 Hessian Enterprise Software San Francisco, USA 2026 2 4
44 Phyllo Enterprise Software 2 4
45 Atrium Enterprise Software San Francisco, USA 2018 2 3
46 Button Enterprise Software 2 3
47 Ermetic Enterprise Software Israel 2 3
48 Humi Enterprise Software Toronto, Canada 2016 2 3
49 Inari Enterprise Software San Francisco, USA 2023 2 3
50 Job Alchemist Enterprise Software 2008 2 3
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.