Forging, not assembling.
Forging is what you do when a part has to survive load. You apply heat and force to something raw until its structure changes. That is the honest description of what it takes to put AI inside a large operation — not a pilot, not a proof of concept, but a system that carries weight on a Friday night when the queue is out the door.
Tanzo AI is built in Lisbon, by operators who spent their careers inside multi-brand, multi-market businesses — and who kept watching good decisions lose to bad information.
Vision, mission, values.
Three statements we are willing to be measured against — the last one is how we behave when nobody is checking.
Where we’re going
To give every operation a brain of its own — where the way the company works is written down once, and accountability, governance and traceability are built into every decision rather than reconstructed afterwards.
What we do
Turn AI into something a business can run on — by connecting the data, the context and the workflows that models can’t see on their own. Every product we build removes one category of guesswork from the operation.
How we operate
We act with accountability and earn trust through transparency. Four principles guide every decision — for our clients and for ourselves.
Three bases. One view.
Tanzo AI operates from Mexico, Portugal and Singapore — close enough to local operating reality to be useful, spread widely enough to see where the requirements are heading.
High-volume, multi-site operations and the supply realities that come with them — the environment where a plan either survives contact with the floor or doesn’t.
European operating standards, data governance and GDPR — where accountability and traceability are not optional extras but the price of entry.
The fastest-moving adoption market in the world, and the place to see which operational patterns are about to become everybody’s requirements.
Tech with an operations background.
Most AI companies are built by people who have never run an operation. Most operators can’t build the AI. This works because the founding team has spent its careers on both sides — and knows which promises survive a Friday night service.
Two decades of change, delivered
Leading digital transformation across global businesses and brands. We have had to defend the budget, not just design the slide.
AI that carries real load
AI ecosystems designed and built with Google engineering experience behind them. What we promise is what the brain can actually carry.
Built for the people who use it
Product and performance strategy across QSR, hotels and FMCG — close enough to the floor to know when a dashboard will be ignored.
Contracts that hold up
Legal and commercial depth, with sales across Latin America — where governance and contract clarity are the deal, not the paperwork after it.
We sat on the other side.
Everyone on this team has sat on the other side of the table — buying the platform, running the pilot, explaining to a board why the number didn’t move. That is why Labs starts by measuring instead of selling, why we agree the metrics before anything is built, and why we will tell you “not yet” when that is the honest answer.
Metrics, not deployments.
Deploying AI is not an outcome. We tie every engagement to the metrics the business already cares about — margin, waste, accuracy, decision speed — and agree them before anything is built. If those numbers do not move, the project did not work, however impressive the technology.