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Recently Funded|Amount: USD 6.0M|Industry: Biotechnology

Dreamfold Secures $6M to Pioneer AI-Powered Protein Discovery for Life-Saving Medicines

Dreamfold

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2-10 employees employees (Est.)
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DreamFold is excited to announce a major milestone in its journey toward revolutionizing medicine discovery by raising $6,000,000 in its latest funding round. This substantial investment will propel the ambitious work of our interdisciplinary team, which brings together cutting-edge expertise in machine learning, molecular simulation, and synthetic biology. Founded by visionary researchers from Yoshua Bengio’s lab and led by influential figures such as Michael Bronstein from the University of Oxford, DreamFold is dedicated to developing advanced generative machine learning algorithms that navigate the vast space of proteins to discover novel medicines. With this funding, we plan to accelerate our pioneering research and scale our operations, ultimately bridging the gap between computational discovery and clinical application. The raised capital will be crucial in fueling initiatives aimed at enhancing our computational infrastructure and expanding our dedicated team of scientists and engineers. By focusing on creating robust models and innovative simulations, DreamFold is poised to identify promising drug candidates much faster than traditional methods, a critical advantage in the fight against diseases that currently lack effective treatments. This infusion of resources reinforces our commitment to saving millions of patients who are left without a cure, and it underscores the confidence that investors have in our mission and the groundbreaking work that we are undertaking. As we set our sights on new horizons and technological breakthroughs, DreamFold remains at the forefront of a transformative era in medicine, where the convergence of artificial intelligence and biotechnology paves the way for a healthier future for all.
March 18, 2025

Buying Signals & Intent

Our AI suggests Dreamfold may be interested in solutions related to:

  • Drug Discovery
  • Generative Algorithms
  • Precision Medicine
  • Synthetic Biology
  • Computational Biology

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