About us

Venturalítica builds AI assurance

While almost the entire market talks about governance —inventorying systems, drafting policies, describing controls—, we produce the proof: the signed, continuous and reconstructible evidence that an AI system does what it says and complies with what it must. Everyone talks about governance; we deliver assurance.

Froga

Froga lives inside the workflow of whoever builds the system: the risk-treatment cycle closes in git and, from that chain of evidence, the technical documentation of Annex IV of the EU AI Act and whatever each sector standard adds on top are assembled. Evidence is generated, not written up.

Backing

Venturalítica is incubated at BIC Gipuzkoa, is a graduate of the Creative Destruction Lab (CDL) acceleration programme in San Sebastián (May 2026) and is a member of BAIC, the Basque Artificial Intelligence Center, since July 2026. It also maintains an academic collaboration with GIAA, the Applied Artificial Intelligence Group of the Carlos III University of Madrid: the same university from which the founder holds his doctorate. Since July 2026 it also sits as a member of UNE's CTN 71/SC 42 subcommittee, the one on artificial intelligence. They are verifiable facts, not ornaments: the same yardstick with which we measure an AI system we apply to what we say about ourselves.

BIC GipuzkoaCreative Destruction Lab San SebastiánBAIC, Basque Artificial Intelligence CenterGIAA, Applied Artificial Intelligence Group at UC3M

The founder

Venturalítica is founded by Rodrigo Cilla Ugarte, PhD in Computer Science from the Carlos III University of Madrid, with more than fifteen years of experience in machine learning for regulated environments. That trajectory —research and AI systems put to work where an error has consequences— is what shapes the product: assurance conceived by someone who has had to answer for what a model decides. He is the author of the preprint arXiv 2604.13767, submitted to IEEE Computer.

Rodrigo Cilla Ugarte

Mission and vision

Mission.

We produce the proof — signed, continuous and reconstructible — that an AI system does what it says it does, so that those responsible for it can demonstrate it and those affected by it can be protected.

Vision.

A world where every AI that makes decisions about people can be trusted, because its safety is proven, not promised.

This is the purpose that governs the company and that its management system declares; it is not a campaign message.

How we work

Six values guide the company’s decisions:

  • Proof, not promises.

    We prove what we say an AI system does. Not with a report: with signed evidence that anyone can check again independently.

  • Check.

    We take nothing for granted. If we make a claim, it is because we have gone and checked. And if we could not, we say so.

  • Honesty.

    What cannot be demonstrated is not accepted as sound — externally or internally. A green light that proves nothing does more harm than a red one.

  • The error is in the system.

    When something goes wrong, we look for what allowed it, not who did it. That way, failures are reported rather than hidden, and we fix the cause rather than the person.

  • Those accountable decide.

    Decisions are made by those who will have to answer for them. The rest of us prepare, measure and propose.

  • Everything in its own time.

    We do not prepare solutions for problems we do not yet have. And when something is deferred, we write down why and what would need to happen for us to do it.

ISO 9001, in progress

Our quality management system’s ISO 9001 certification is in progress: not a badge already obtained. It is distinct from the AI management systems standard (ISO/IEC 42001). This process does not mean the company is governed using Froga: the product assures AI systems, not organisations.