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Founded by DeepMind alumnus, Latent Labs launches with $50M to make biologyprogrammable
Latent Labs, founded by ex-Google DeepMind scientist Simon Kohl, has launched with $50 million to make biology programmable by developing AI models for protein design. The startup aims to partner with biotech firms to streamline drug discovery, reducing reliance on traditional wet lab methods, and plans to utilize advanced computational techniques to generate custom therapeutic molecules.
Key points
- Latent Labs launched with $50 million funding from a mix of seed and Series A rounds.
- The startup focuses on developing AI models to create and optimize proteins, aiming to transform drug discovery.
- Founders, including Simon Kohl, have backgrounds in protein modeling and deep learning from DeepMind.
- Latent Labs operates out of London and San Francisco, with a dual focus on modeling and wet lab experimentation.
- The goal is to minimize the need for wet lab experiments in the long term by utilizing computational biology.
Why it matters
- The startup's approach aligns with recent advancements in AI and biotechnology, reflecting ongoing trends in generative models for drug design.
- Historical advancements, like DeepMind's AlphaFold, have set the stage for AI applications in biology, enhancing the current landscape.
- There is a growing interest in the biopharma sector for innovation in drug discovery methods amidst rising operational costs and complexity.
Latent Labs' innovative approach to protein design and drug discovery could significantly revolutionize the biopharmaceutical landscape by reducing the time and resources needed for therapeutic development, marking an important step in integrating AI within biological research.