The 34 Education 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

#	Company	Sector	HQ	Founded	Founders	Companies started
1	StudySmarter	Education	—	—	4	1
2	Vaia	Education	—	—	4	1
3	Edrolo	Education	—	—	3	4
4	Guild Education	Education	Denver, USA	2015	3	1
5	JoyTunes	Education	—	—	3	1
6	Merlyn Mind	Education	—	—	3	1
7	Outsmart	Education	—	—	3	1
8	Outsmart College	Education	—	—	3	1
9	Quazel	Education	—	—	3	1
10	Simply	Education	Israel	2010	3	1
11	TIN	Education	—	2024	3	1
12	Univerbal	Education	Zürich, Switzerland	2023	3	1
13	Coursera	Education	Mountain View, USA	2012	2	5
14	10% Happier	Education	Boston, USA	2013	2	4
15	upGrad	Education	—	—	2	4
16	2U	Education	—	—	2	3
17	SplashLearn	Education	San Francisco, USA	2011	2	3
18	Udemy	Education	United States	2010	2	3
19	Dalvoy	Education	—	—	2	2
20	Fullstack Academy	Education	New York City, USA	2012	2	2
21	GO1	Education	Brisbane, Australia	2015	2	2
22	Gradescope	Education	—	—	2	2
23	InstaEDU	Education	—	—	2	2
24	Oboe	Education	—	—	2	2
25	AglaSem	Education	India	2009	2	1
26	BYJU'S	Education	Bengaluru, India	2011	2	1
27	Bloom Institute of Technology	Education	Austin, USA	2017	2	1
28	BloomTech (fka Lambda School)	Education	San Francisco, USA	2017	2	1
29	Career Karma	Education	—	—	2	1
30	Degreed	Education	—	—	2	1
31	Learn In	Education	—	—	2	1
32	LearnSynergy Education Solutions L.P.	Education	United States	2023	2	1
33	LearnSynergy Global Institute	Education	United States	2023	2	1
34	Mate academy	Education	—	—	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.