Founding
Diego Munhoz founds Vita Munhoz Tecnologia in Ourinhos, in the interior of São Paulo, to turn ideas into intelligent solutions.
About us
Founded in 2019 in Ourinhos, in the interior of São Paulo, Brazil. It started with a single founder and the same requirement it holds today: deliver software that works, scales and lasts.
Vita Munhoz Tecnologia was created to turn ideas into intelligent solutions — and it grew by refusing the easy path: instead of selling hours, it began conceiving digital assets; instead of only building for others, it began building its own products, maintaining them and evolving them. That is why we know what happens after go-live: it happens to us every day.
Diego Munhoz founds Vita Munhoz Tecnologia in Ourinhos, in the interior of São Paulo, to turn ideas into intelligent solutions.
Websites, portals and apps delivered under one non-negotiable requirement: clean code, scalable architecture and a flawless user experience.
The work moves into management systems, integrations and critical processes — where a failure is expensive and the engineering has to hold up.
With the MBA in Artificial Intelligence and Analytics, the company starts applying AI to concrete business problems: predict, classify, automate and decide.
The company stops building only for others and starts building for itself: in-house platforms, designed, maintained and improved internally.
The three platforms are in operation, with demos and plans published. The ambition is unchanged: deliver software that works, scales and lasts.
Three degrees that do not add up by accident — each one solved a limitation of the previous, and together they explain how the company works.
This is where the multidisciplinary view took shape. Building games means handling code, design, narrative, performance and the experience of whoever is on the other side of the screen — all at once. That combination became the way we build software here: nothing is only technical, and nothing is only pretty.
It brought rigor of method. Deadline, scope, risk and communication stopped being improvisation and became process — which is what lets you promise a delivery and meet it, the exact point where most software projects fail.
It gave the vocabulary and the judgment to use AI where it actually solves something — and to say no when it is just decoration. Models, data and metrics became a decision-making tool, not a sales argument.
Corporate websites, portals and web applications — fast, accessible and ready for search engines.
Android and iOS apps designed for daily use, with attention to offline mode, notifications and device capabilities.
Agents, assistants and models applied to concrete problems: classify, predict, answer, decide.
Repetitive manual work removed, with processes that run on their own and speak up when they fail.
Systems that finally talk to each other — ERPs, gateways, third-party APIs and legacy databases.
Cloud infrastructure sized for real usage, with predictable deployment and cost under control.
Technical assessment before the first line of code: what to build, what to buy and what simply not to do.
Structural decisions that support growth — separation of concerns, SOLID and Clean Architecture.
Moving operations off paper and spreadsheets into systems that produce data, visibility and decisions.
We adopt new technology when it solves a real problem — never to pad a portfolio.
We do not promise what we cannot deliver, and we say no to projects where we are not the right fit.
The client sees the progress, the risks and the technical decisions. A hidden problem becomes an expensive problem.
Clean, tested, readable code. What we ship has to be maintainable by someone else two years from now.
The finish matters. Interface detail, response time and error messages are part of the delivery.
Constant study is part of the work, not something done in spare time. The founder's path is made of it.
Project success is measured by the client's outcome, not by the number of features delivered.
Data protection and privacy compliance go into the architecture from day one, not at the end.
We own what we build. If something breaks after go-live, the problem is still ours.
Software does not end at launch. We monitor, measure and improve what is live.
You talk to someone who knows the project and has the authority to decide. No context handed off between support, sales and the technical team.
We start from your process, not from a template. If an off-the-shelf product solves it better and cheaper, we say so.
We apply artificial intelligence where it changes the outcome — and avoid it where it only adds cost and unpredictability.
Structural choices made for maintenance, not just for delivery. The system has to survive the next requirement.
Clean, reviewed, readable code — because the real cost of software is in maintenance, not in the first deployment.
What we build has to withstand your growth without demanding a rewrite at every new tier.
Data protection as an architectural decision. It is the same principle we apply to our own products.
Every delivery answers a business question. A feature that moves no indicator does not enter the scope.
Maintenance, evolution and follow-up after go-live. Living software needs someone to care for it.
None of them is an adjective. Each can be checked — in the products that are live, in the contract we sign, and in what this site publishes about the limits of its own scope.
Vendeon, Vitto and Pulzia are in-house platforms that we architected, built and keep in operation today, with real customers. When we say we know how to get software off the drawing board and support it afterwards, there are running systems to show.
The stack follows from the problem. We do not push a technology because it is fashionable — we pick the one your case justifies, and we explain why.
Scope, deadline and risk treated as a discipline. That is what separates a delivery you saw coming from an unpleasant surprise at the end of the quarter.
A degree in digital games left a habit behind: always think about the person who will use it. Interface, flow and performance are part of the engineering, not an accessory.
Data protection, consent and data minimization go into the project from the start — isolation per organization, access control and audit trails are architectural decisions, not patches.
Monitoring, fixes and continuous improvement. The relationship does not end at go-live, because the software does not end there.
Ourinhos · São Paulo · Brazil
We work with companies across Brazil, with a team set up for remote collaboration end to end.