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EvolutionaryScale.ai is an AI biotech startup founded by former Meta researchers. The company recently secured $40 million in funding, primarily from Lux Capital, with additional investments from notable AI investors Nat Friedman and Daniel Gross. This funding will support the development of advanced biological language models aimed at various applications, including cancer cell targeting and environmental cleanup (Decrypt) (AIntello).
Led by Alexander Rives, who previously headed Meta AI’s protein-folding team, EvolutionaryScale is leveraging transformers-based AI models to predict protein structures. Their technology boasts a database of 700 million potential 3D protein structures, which is crucial for drug development and other biotechnological applications. The company claims its models can predict these structures up to 60 times faster than existing technologies like DeepMind’s AlphaFold, though they are currently less accurate on average (Decrypt) (AIntello).
EvolutionaryScale plans to spend $38 million in its first year, focusing on scaling up its AI models and computing power. Their long-term goal is to develop a general-purpose AI model for biology that can analyze a wide range of biotech data, potentially revolutionizing the industry by allowing researchers to apply the model to diverse fields such as medical research and environmental biotech (Wicked Sciences) (AIntello).
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