Dreamfold

Dreamfold is transforming drug discovery by applying generative machine learning to explore the protein universe and unlock new treatments.

Dreamfold is transforming drug discovery by applying generative machine learning to explore the protein universe and unlock new treatments.
Artificial Intelligence
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Tom Henriksson
Dreamfold is transforming drug discovery by applying generative machine learning to explore the protein universe and unlock new treatments.

Dreamfold is pioneering generative machine learning techniques to navigate the vast landscape of proteins, with the goal of discovering breakthrough medicines. Their work lies at the intersection of machine learning, molecular simulation, and synthetic biology. Founded by researchers from Yoshua Bengio’s lab alongside Michael Bronstein, a leading AI professor at the University of Oxford, Dreamfold is driven by a mission to bring hope to millions of patients who currently have no cure.

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6
min read

Why are we still building development teams like it’s 2020?

Twenty-five years ago, I could have written that same sentence and replaced “AI” with “the Web,” and forty years ago, “the personal computer.” This is not an article about needing to use Claude or other agentic AI tools; that is something you should be doing already. In this case, I’m talking about a fundamental restructuring of how software gets built and deployed.
9
min read

Portfolio spotlight: Dreamfold

Welcome to our portfolio spotlight series, where we highlight the teams behind some of the most ambitious technical companies. A company is only as strong as the people behind it, which is why we share the stories of the teams driving these disruptive innovations.
5
min read

What founders get wrong about speed and scale

Every founder faces the same question: how fast should you go? In conversation with our Venture Partner, Duleepa “Dups” Wijayawardhana, we explored why so many startups struggle to balance speed, quality and scale, and how to get it right (at least most of the time). As Dups puts it, for every rule there is an exception, and for every exception there is something to learn.
Tom Henriksson
Tom Henriksson
General Partner
Tom Henriksson
Tom Henriksson
General Partner
Artificial Intelligence
Artificial Intelligence