AI should work for the business, not take its data away from it.

Built from the work itself.

I’m Kevin Trinh, a Houston-born developer and the founder of Atarla. I worked across restaurants, from large franchise operations to independent shops, and kept seeing the same pattern: capable people were forced to coordinate through expensive, disconnected systems that rarely fit the way their business actually worked.

I studied at the University of Houston, then left in 2026 and chose not to re-enroll so I could focus on building. That was not a rejection of education. I was learning more by shipping, listening to operators, and taking responsibility for whether the work was useful. Atarla gave that work a purpose again.

Before Atarla reached this form, I tried consulting, recorded tailored demos for local owners, built POS-connected software, and developed a mobile app. Each iteration moved closer to the same underlying need: useful intelligence that a business can understand, adapt, and control.

Atarla is bootstrapped. I build because I am curious about how systems work, but also because technology should be accessible to the one-person shop and the global enterprise, not only to organizations with large technical teams.

I use AI often, including to help shape this page. I used it as an interviewer: I talked through my experiences and ideas, then used it to organize and clarify what I actually meant. It did not invent a founder story or replace my judgment. Honesty matters to me, and so does working efficiently. Good use of AI should preserve the person behind the work, not manufacture one.

I also do not want every explanation polished until it sounds generic. The founder note is lightly edited on purpose. It lets people hear the conviction and unfinished questions behind the architecture. Candor is useful only when the public claims around it remain bounded, reviewable, and sourced.