Strategy and products, built on evidence.
I train teams to understand AI, help decide where it makes sense to apply it, build prototypes, and lead products. Empirical methods, applied with rigor.
Strategy, products, and leadership, built on evidence.
More than 10 years hands-on with AI. I help companies get real value from AI and bring it into product, at whatever level is needed: training, strategy, prototyping, or leadership.
AI training, applied to your business
I train teams to use AI day to day, to understand how it actually works, and to decide on their own whether a given application makes sense. We work directly on the operations the team already runs: the real workflows, the real decisions, the real tools. Same evidence-driven method as the other engagements, now applied to the team's own practice.
AI strategy
I help leadership teams decide where AI creates real business value. Market analysis, structured user research, and technical feasibility combined to surface the opportunities worth pursuing, and rule out the ones that are not. Scoped to the decision at hand, not to a calendar.
From validated direction to working prototype
When the strategy justifies shipping, I extend the same method into functional software, bringing in trusted collaborators when a project calls for it. Deployed in real users' hands, iterated on real signal, not extrapolated from a deck. A first working version can ship in a week when the scope allows; longer builds run as long as the mission requires.
Product leadership
When a company needs a senior product operator embedded in the team, not just an advisor, I step in as the product lead through the critical phase: post-funding, pre-hire, pivot, or rebuild. Same evidence-driven method, now applied to running product day to day. Engagements run for months, ending when the mission is done or the permanent hire is in place.
A senior consultant, end-to-end.
Innovation only matters if it delivers value, and it only delivers value if it is profitable. Anything else is an expensive experiment. After more than 15 years building products across very different industries, I am convinced of one thing: the right solution comes from understanding the problem firsthand, not from theorizing about it.
I studied Industrial Engineering specialized in mechanics at UPC, and finished my degree at RWTH Aachen. I started my career in mechanical engineering, ran a manufacturing plant as Plant Director, and over the last decade moved fully into AI and digital products, most recently as Head of AI before founding ForgeLab. My work has been recognized in business case competitions at GMV, Siemens, Agbar, and Ideas Making Point. Plus an ESADE PMD.
ForgeLab runs lean, and that is by design. I run every engagement directly, training, strategy, prototyping, and leadership, so the thinking and the doing never lose context. When a project calls for specific expertise, I bring in trusted collaborators I have worked with for years. What matters most is that the project turns out right. If I am not the right person for it, we will talk about it before we start.
Common questions.
Short, direct answers on how ForgeLab works, who it is for, and what you actually get at the end of an engagement.
What does ForgeLab Digital Products do?
ForgeLab is my evidence-driven product studio. I help companies get real value from AI and bring it into product, at whatever level is needed: I train teams to decide on AI on their own, set strategy when the direction is still being decided, build working prototypes once that direction is validated, and lead product when it has to be carried through. Every engagement starts with understanding the problem; code only follows when the evidence justifies it.
Why ForgeLab?
Because most digital initiatives fail on assumptions, not execution. I run training, strategy, prototyping, and product leadership end-to-end as a single senior operator, so nothing is lost in handoff, no juniors are staffed on the client, and there is no incentive to stretch a project. Every material decision is grounded in user research, market signal, or behavioral data, not seniority in the room.
How is a ForgeLab engagement different from a traditional consultancy?
A traditional consultancy delivers a deck; I deliver either a validated decision, deployed software, or a team able to make its own AI decisions. The same person runs the research, writes the strategy, and ships the prototype, so nothing is lost in handoff. Scope is priced against the problem, not billable hours, and if I am not the right fit, I will tell you before we start.
How long does an engagement take?
It depends on the mission. A training engagement runs as long as the team needs to decide on AI on its own. A strategy engagement ends when the direction is validated: what to build, what to defer, what to discard. A prototype engagement ends with deployed, functional software in real users' hands. A product leadership engagement ends when the permanent hire is in place or the critical phase is through. Duration is a consequence of the problem, not a product I sell.
What kinds of companies is ForgeLab a fit for?
Training engagements fit leadership teams and senior contributors who need to scope AI initiatives without outside translation. Strategy engagements fit executives, boards, and innovation teams deciding where to apply AI or digital product. Prototype engagements fit funded startups, product teams, and senior operators who need working software in weeks, not quarters. Product leadership engagements fit funded scaleups going through a critical phase where a senior operator needs to run product day to day. I am not a fit for pure staff augmentation, long-term delivery outsourcing, or projects where the problem is already scoped as a spec.
What do you mean by "evidence-driven"?
Evidence-driven means every material decision is backed by user research, market signal, or behavioral data from a live product, not by opinion or seniority. Strategy recommendations are tested against interviews and feasibility analysis; prototypes are measured by how real users actually behave, not by internal reviews; training is measured by the decisions the team is able to make at the end, not by classroom hours. Decks and mockups are inputs, never the deliverable.
How do we start?
Engagements start with a 30-minute call to understand the business problem. If I am the right fit, a scoped proposal follows within a few days: clear mission, clear deliverables, clear price. Duration is set by the problem. If I am not the right fit, I will tell you directly on that first call. Use the contact link on the homepage to book the conversation.
Start a conversation.
A 30-minute call to understand the business problem you are trying to solve.
If I am not the right fit, I will tell you directly.
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