A 22-Year-Old Bet $80,000 on Industrial AI. Now He's Dropping Out.

Anderson Chen, 22, put roughly $80,000 of his own savings into Operon Solutions, an industrial AI startup in San Francisco, and he's not paying himself a salary. In May, Y Combinator backed the company as part of a $700,000 pre-seed round that closed in about three days and included other investors.

Now Chen is dropping out. He studies chemical engineering and business at Nanyang Technological University in Singapore and is on his second gap year. He planned to return after the first one, but Operon grew exponentially toward the end of it.

"During that year, I realized that even if you graduate, it doesn't mean you'll figure things out," Chen said.

Why leave a degree behind?

Chen admits the decision scared him. "Having a bachelor's degree is the Asian standard," he said. His parents were initially concerned that he was doing badly at school, but a fellowship covered his gap-year expenses, so there was no financial risk. They've since come around. "They're like, 'Okay, go for it.'"

He also argues AI itself is eroding the value of a diploma. OpenAI recently solved a version of the Navier–Stokes problem in fluid dynamics — a problem his sophomore-year professor called unsolvable. In Chen's view, someone who uses AI effectively might outperform their own professor.

What does Operon actually do?

The company automates tasks previously run by human operators and specialists in heavy industries: manufacturing, oil and gas, and construction.

Chen spotted the opening during internships at manufacturing companies and through connections with manufacturers and founders in Taiwan. He watched engineers paste engineering PDFs into ChatGPT to generate documentation. Frontier models failed because they had never been trained on that confidential data.

"That was the moment I knew I had to start this company," he said.

Industrial data is messy, and manufacturers run on rigorous standard operating procedures. Operon structures that data, builds a context layer, and enables agentic workflows on top of it. The startup counts about 20 clients — some projects are proofs of concept, others are full contracts.

Where did an undergraduate get $80,000?

Chen earned it from earlier ventures. At 14, he sold sneakers and ran Amazon dropshipping. In college, he built a tutoring agency connecting Malaysian students with parents of children attending international schools in Singapore, handling marketing and hiring tutors.

He put nearly all of his savings into Operon before raising outside money. Employees get paid; he doesn't.

Does age hurt in an old-economy industry?

Operon's team has five people, all under 30. The oldest is 26; the youngest is 16. Competitors' founders, Chen says, are in their 40s and 50s.

He counts the skepticism as an asset. "Skepticism brings exposure, and people will naturally be intrigued," he said. "They'll be thinking, 'Oh my God, how are you able to break into this space? I have to check it out.'"

The bet now rests on converting that curiosity into full contracts — and on proving that a founder who skipped graduation can outbuild rivals with decades of industry credibility.