We spent 10 years building software. Now we build AI products.
We are a software house from São Paulo. We have always shipped code that lives in production — not in slide decks. Today, that same engineering powers a house of proprietary AI products, with one rule we never compromise on: where there's AI, we point to the code; where it's roadmap, we say so.
From building for others to building our own.
For over a decade, we were the factory behind the software of many companies — from the stalled MVP to the product that scaled. Along the way, we assembled a common engineering foundation (.NET 10, our own infrastructure, on-premises DevSecOps) so solid that we started using it to build our own products.
The result is a line of seven AI products in production: an operating system of agents that do real work, a graph with all of Brazil in public data, a shield that stops data from leaking into public AIs, observability with no agent to install, CFO-grade BI as a service, and an app built by a fleet of agents. The factory never stopped — it also became a laboratory.
Four principles that guide every delivery.
Copilot first, tested autonomy later
AI amplifies the people who decide — it doesn't replace the human bond in the moments that matter. Autonomy only where the evidence allows it.
Where there's AI, we point to it. Where it's roadmap, we say so.
Every product declares where the AI really is — in production, deterministic, or on the roadmap. No hype, no promise of magic.
Code in production as proof
First delivery in weeks, a written guarantee, and direct access to the decision-makers. The risk doesn't sit on your side of the table alone.
Your data, in your house
AI that runs on your infrastructure when the data is sensitive. Security proven in the build, not promised on a slide.
How we got here.
From napkin sketch to scope. Free.
Bring us your pain point — from a process that needs agents to a piece of software waiting to get off the ground. We'll come back with a clear plan.
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