Radical Numerics

Radical Numerics operates at the intersection of AI and life sciences, building multimodal models trained on biological data to accelerate discovery. The team is noted for its work on Evo and Evo 2, generative genomics models used to create gene-editing tools and the first AI-designed whole genomes. This technology demonstrated that AI can be used to create new biology, not just analyze it. Their work on a model named Evo, which was trained on DNA sequences to design a novel CRISPR-Cas system, was featured on the cover of Science magazine. Another creation from their models was a phage, a type of virus that only attacks bacteria, illustrating the technology's potential as an antibiotic.

The company develops foundational architectures and numerical computing frameworks to represent complex physical systems, such as in climate modeling, materials discovery, and robotics, as learnable world models. They focus on creating AI systems specifically for science, arguing that architectures designed for language are not suited for understanding DNA or physical systems. Radical Numerics has released open-source models, including RND1-Base, a 30-billion parameter diffusion language model, to encourage further research in the community. By concentrating on systems and architecture innovations, the firm aims to enable AI to autonomously design AI, thereby speeding up scientific and industrial advancements.