MayiLabs exists to put real software in the world — and to prove that a small team directing a governed fleet of AI agents can out-build groups many times its size.
Our engine room runs on governed autonomy. Changes are proposed, built, and reviewed under written rules — agents do most of the building, and a human signs off on everything that ships. The machines make a high standard cheap to hold; people still decide what good means. It's how one small team keeps a large surface honest, and moves fast without cutting corners.
80% done. Always improving.
Architecture that stands up to reality.
We build to put things in the world, not to demo them — and we build for the people the industry tends to overlook. We ship, watch what breaks, and correct the record when reality overturns the plan. The products are what comes out; how they're built is what we're really making.
One live on both app stores. One in active development.
A two-sided community marketplace for cultural diaspora communities — discovery on one side, local providers and a marketplace on the other. Generally available on the App Store and Google Play.
Available in 177 countries · active communities in the US and Spain
A tax administration platform for LATAM municipal governments — it determines what a business owes, collects it, and issues the solvency certificate that lets it keep trading. Municipal ordinances live inside it as structured data, so a change in the law is a configuration change, not a release.
267 economic-activity codes encoded · modeled on Ordenanza ISAE 2023 (Tinaquillo, Venezuela)
The disciplines behind the work. Real depth.
Systems built to survive contact with reality — store review, real payments, real users. Clean architecture, boring deploys, and the unglamorous rigor that keeps software standing after launch day.
AI runs through the work twice over: inside the products as a native capability, and inside the studio as the fleet that helps build them. We treat models as team members — useful, supervised, never the final word.
The pipelines and stores that turn scattered facts into something a product can trust. Modeled deliberately, versioned like code, built to hold up when the schema meets the real world.
Turning signal into decisions — methods that answer a real question instead of decorating a dashboard. If it can't change what happens next, we don't ship it.
Knowing what actually happened, honestly. Instrumentation and measurement that show where a product helps, where it hurts, and what to fix next — the feedback loop the rest of the work depends on.
While others chase trends, we chase outcomes. We invest in architecture that stands up to reality — not just demos. We build infrastructure that scales before you need it to.
We don't believe in 'set it and forget it.' Version 1.0 is a starting point, not a finish line. Ship it, learn from it, make it better together.
We don't measure success in hours billed or decks delivered. We measure it in whether the thing actually works once it's in someone's hands.
Who's behind the lab
Founder & Head of Engineering
A builder running a governed, multi-agent engineering studio — plus one external contributing engineer. The operating model ships production software: QUUL is in the world on both app stores, eGovve is in active development.
No awkward sales dance. No 47-slide deck. Just a conversation about what you're trying to build.
hello@mayilabs.comWe read everything. We respond to everything. Usually within a day, often within an hour.