Here We Go Again: Building Predictable Machines

After years of founding, scaling, integrating, selling, and reconnecting, I’ve entered a new stage in my professional journey: Building.

Not just building companies, but building with purpose. Projects that create impact, surrounded by people I admire and trust.

That clarity came after my sabbatical. I realized I don’t want to spend my time chasing numbers, but focusing on initiatives that truly touch my soul. Building things that matter. And doing it with people who share the same values.

That’s why, once again, I’m teaming up with my brothers Justin, Nick, and Raúl. Same wild spirit, same founding team, a few more gray hairs… and a whole lot more experience.

And this time, we’re taking on one of the greatest challenges (and opportunities) of our generation: AI.

Why Predictable Machines?

For me, it started with a simple question: how can we trust the systems we build if we can’t verify the information they use?

Over the years, I’ve seen how technology evolves faster than our ability to keep it accountable. AI is powerful, but it can get things wrong — sometimes in subtle ways that have big consequences. And it’s not just about AI; it’s about how data moves, how automation behaves, how decisions are made without humans in the loop.

With Predictable Machines, we wanted to go back to the core of what made us fall in love with engineering in the first place — building things that work, that do what they’re supposed to do, and that earn people’s trust. By combining AI and formal verification (tech + math), we’re creating a foundation where information can be verified, systems can be trusted, and technology can truly be predictable.

👉 Our vision: A future where AI systems are safe, ethical, and scientifically verifiable.

What We Stand For

At Predictable Machines, technology is only half of the story. What really drives us are our values:

01 — Trustworthiness
We believe AI must be safe, ethical, and verifiable. Trust is at the core of everything we build. That’s why we don’t settle for “black boxes” — we use formal verification to make AI outcomes provable, testable, and reliable.

02 — Kindness
We don’t work with jerks. We choose empathy and diversity over ego, and we build a culture where respect comes first. For us, kindness isn’t just nice — it’s smart. It makes us better, more creative, and more resilient.

03 — Social Responsibility
We’re building the future — and we want it to be one we’re proud of. That means thinking beyond our code: about the communities we impact, the planet we live on, and the kind of society we’re helping shape. Sustainability isn’t an afterthought. It’s part of our responsibility as builders.