All Posts

Many deep tech ventures start with a research breakthrough: a material, an algorithm, an improved process. The problem with this is that too often, the problem it solves is defined after the technology exists. In this post I dive on some tips and trick on how to approach problem definition for deep tech ventures.

Most deep tech startups don’t fail because the science doesn’t work, they fail because risk piles up unnoticed. In this post, I break down the five biggest risks every founder and investor should map from day zero, and share a practical framework to spot them before it’s too late.

Welcome to The Deeptech Compass. This is a quick overview of the purpose of this project.

A summary of how I’d approach de-risking from day 0 if I were building a deep-tech venture from scratch.

Early-stage deep-tech founders often have little or no traction, and that’s fine. What matters is: can you de-risk your solution and business enough to make me believe? Here’s broadly (in very simple terms) some of the key aspects I focus on when looking at early-stage ventures.

LatAm needs science-based innovations designed for our unique environmental and social realities and technologies that go beyond incremental fixes. To achieve this, we need more founders who are equiped to build venture-backable companies, and more investors to have the technical sophistication required to successfully evaluate and support deep tech ventures through the journey of scaling novel technologies.

There’s a myth that deep tech is “too early” or “too hard” for our region. I’ve found the opposite: Latin America has the scientific talent, the unmet needs, and the urgency to lead if we’re willing to back people solving real problems with real tech. For this, we also need to build the right kind of venture capital. One that’s more technical, more diverse, and more grounded in solving problems than just chasing trends and betting on the power law to work in order to get t