The chair of the one who writes the code
Code in production: websites, ecommerce and integrations for large companies.
A system almost never breaks on the hard part. It breaks on the part nobody wanted to look at.
My name is Pitu Sabadí. I started writing code in 2009, then led the team as CTO, and since 2017 I have answered for the bottom line of an AI company. This page is not about what I can do: it is about how I decide, which is what you are really hiring.
No strings attached. If I cannot help you, I will say so on the call itself.
Inside a company, technology looks different depending on where you sit. I have sat in all three places, and each one taught me something you cannot learn from the other two.
Code in production: websites, ecommerce and integrations for large companies.
A system almost never breaks on the hard part. It breaks on the part nobody wanted to look at.
Architecture, team and priorities as CTO. Deciding what gets done and, above all, what does not.
The bottleneck is almost never technical. It is that nobody has said what comes first.
CEO of Pleasepoint: investors, large contracts and numbers that had to add up every month.
Technology that gives nothing back to the business is a cost, however well built it is.
When I propose something, I am looking at it from all three at once. And I never got up from the first one: I still write code every week.
These are not website values. They are the rules I apply when your budget is in front of me and a choice has to be made.
Before proposing anything I look at what it will return and how soon. If the numbers do not add up, I say so, even if that means one project less for me.
From the CEO chair: signing a project that returns nothing costs you the client, and then the referral.The projects I have watched fail did not fail on the technology. They failed because nobody was deciding what to do, only how to do it. The first thing I do is close that decision, with you in the room.
From 50 companies: not one of them got stuck for picking the wrong language.A product that runs is the only proof that counts. The documentation your team needs, yes. The kind nobody reads, no.
From the CTO chair: the prettiest diagram has never solved a problem in production.Decisions are made on data, not on hunches: neither yours nor mine. If three weeks in the numbers point somewhere else, we change course and carry on.
From 80 AI systems in production: the one defended without measurement falls over on its own.I work so your team can carry on without me: decisions explained, the system understood and people able to touch it. If you depend on me when we finish, I did it wrong.
From 14 years of teaching: if the other person does not understand it, you did not explain it; you did it for them.Code that reaches production: web, ecommerce and integrations for large companies.
I start teaching on master's programmes: first at ESDi and, since 2018, at INESDI, part of Grupo Planeta. To teach something well you have to understand it properly.
From writing code to deciding architecture, priorities and team.
AI startup. Investors, large contracts and the responsibility of making the numbers work. In 2023, Top 20 in Southern Europe by AWS.
A talk on generative AI applied to fashion imagery, on the largest cloud stage in Europe.
All of that in the service of companies from 1 to 10 million that need to build, scale or prepare their team. No payroll and no long contracts.
AWS Summit Madrid · 2025
A talk on applied generative AI at the largest cloud event in Europe. Not talking about trends: telling the audience what we had already put into production with real clients.
Amazon picked us because the platform worked, not because we had good slides.
Behind me, on the screen, some of the brands already using it: Nestlé, Norauto, Condis, Fiorucci, Konozca.
Half an hour for you to tell me where you are. If I can help, I will tell you how and how much. If I cannot, I will tell you who can.
Book the callOr write to me if you would rather start there.