Ship real systems, not demos.
A demo that isn't wired into your auth, logs, and on-call rotation is homework. We only count something as done when it's in prod.
[ ABOUT ]
Independent studio. Built for operators.
Pintoed AI was founded in 2026 as a small, opinionated shop for teams who want AI actually working in their business this quarter, not next year. We build the systems, we write the docs, and we hand over something your engineers can maintain.
We started this studio because we kept watching the same pattern repeat: a team gets excited about an AI use case, burns two quarters evaluating vendors and writing strategy decks, and ends up with nothing in production. The opportunity was never in the deck. It was in the three weeks of focused building that everyone kept postponing.
So that's what we do. We scope tight, build narrow, ship to prod, and iterate from real usage. Our engagements are deliberately small — one or two consultants embedded with your team for a few weeks at a time — because that's what actually produces working software. We're not trying to grow into a 200-person firm. We're trying to produce good work.
Alongside client work, we run a public reviews practice for the AI tools we use in builds. Every review is hands-on, unpaid, and written after we've actually shipped something with the tool. If a vendor tries to influence what we write, we note it and move on.
If you're an operator, a founder, or an ops lead who's tired of being sold to, you're the person we built this for.
[ PRINCIPLES ]
What we actually believe. Short list.
Optimize for iteration speed.
The team that ships the ugliest version first wins. We scope narrow on purpose so we can get to "running in production" fast.
Write honest reviews.
We publish reviews of tools we use in client work — including the ones we love. Nothing we publish is paid, sponsored, or ghosted by a vendor. We've said "don't buy this" in print.
Keep the stack boring.
Postgres. Python. A single well-known queue. A boring stack fails less, hires easier, and stays alive after we leave. We reserve novelty for the part of the system that actually needs it.