Boutique AI engineering.Judged on what runs.
We build custom AI and put it in production on infrastructure you own. When AI is the wrong tool, we say so on the first call.
How we work, stated
before you hire us.
Four principles, kept on every engagement.
Production over demos
An engagement isn't done when the demo works. It's done when the system runs on your hardware, your team uses it daily, and it's still in production a year later. That is the standard every row on our Work page is held to.
Self-hosted by default
Our specialty is AI that runs where your data lives: on-premise, air-gapped, zero telemetry. We moved 200K monthly medical scans from cloud to on-premise without losing throughput, and our own products ship self-hosted first.
An honest no
Our audits end in a build-versus-skip verdict, and sometimes the verdict is skip. If AI is the wrong tool for your problem, you hear it in the first 30 minutes.
Senior engineers only
No pitched-by-partners, built-by-juniors bait and switch. A senior engineer is on every line of code, every architecture decision, and every call, including the first one.
Cost, throughput, adoption.
Never model scores.
Every number below came out of a shipped engagement. The cases behind them are on the work page.

Sebastian Mondragon
Sebastian founded Particula Tech and still works the way the firm does: senior engineers on the code, outcomes measured in business numbers, and an honest read before any proposal. He takes the first strategy call himself, and every promise on this site is one he stands behind.
As CEO and an AI systems architect, he keeps the firm small and senior by design. Every engagement ships custom AI into production on the client's own infrastructure, on-premise, self-hosted, or air-gapped, and he stays hands-on from the first call to what runs.
Everything we build
runs on your hardware.
Services for your problem, products and models we run ourselves.
“If you want a vendor that says yes to everything, we're the wrong call. Bring the problem, and in 30 minutes you'll have an honest read on whether AI fixes it, what it costs, and what it returns. Sometimes the answer is no.”