Operon raises $700,000 from YC, founder leaves university

Operon, an AI company focused on heavy industries, has raised $700,000 in pre-seed funding from Y Combinator and other investors, claiming around twenty clients. Its founder, Anderson Chen, 22, has invested $80,000 of his savings and plans to drop out of university to dedicate himself to the company.

$700,000 Raised and Around Twenty Clients Announced

Operon completed a $700,000 pre-seed funding round in May, bringing together Y Combinator and other investors, a deal finalized in about three days according to Anderson Chen. The company reports working with around twenty clients, with some projects being proof of concept and others involving already signed contracts. Before this funding round, Anderson Chen had invested nearly $80,000 of his personal savings into Operon. He specifies that he does not take a salary, while the company's employees are compensated.

Agentic Workflows for Disordered Industrial Data

Operon develops automation solutions for tasks traditionally performed by operators and specialists in manufacturing, energy, and construction. Anderson Chen describes industrial environments where strict operational procedures coexist with data deemed too complex or disordered for traditional AI models. He reports having observed engineers using ChatGPT to process technical PDFs but emphasizes that these models could not understand these documents due to a lack of training on confidential data. Operon claims to structure this information, add a layer of context, and enable the establishment of agentic workflows suited to these environments.

Extended Gap Year and Plans to Drop Out of University

Anderson Chen, a chemical engineering and business student at Nanyang Technological University in Singapore, is currently in his second year of a gap year and plans to leave university to focus on Operon. He states that his expenses during the gap year have been covered by a scholarship and that his parents, initially concerned, now support his decision. He argues that the rapid evolution of AI motivates this choice, citing OpenAI, which he presents as having recently solved a version of the Navier–Stokes problem, while one of his professors claimed it was unsolvable. According to him, effective use of AI could allow for surpassing academic expertise.

From Manufacturing Internships to Founding Operon

Before Operon, Anderson Chen built his capital by launching several ventures as a teenager, including reselling sneakers and dropshipping on Amazon at 14. At university, he founded a tutoring agency connecting Malaysian students with families whose children attend international schools in Singapore, handling marketing and tutor recruitment. He explains that he launched Operon during his first gap year, following internships in manufacturing and discussions with industrialists and founders in Taiwan.

A Team of Five, All Under 30, Facing Skepticism

The Operon team consists of five members, all under 30, with the oldest being 26 and the youngest 16. Anderson Chen believes that this youth generates skepticism in sectors where competing founders are often in their forties or fifties. However, he asserts that his profile has helped attract clients and considers that this skepticism brings them exposure and curiosity from decision-makers.