Anthrogen is an AI research lab in biology. We create new, programmable molecular tools. We train large protein models on vast quantities of data generated internally. Our tools open up new kinds of human intervention that were previously impossible.
Historically, these new kinds of tools have arrived once in a generation. Antibodies were developed in the 1970s, RNA therapeutics in the 1990s, and CRISPR in 2012. We believe that with the right data and experimental infrastructure, the right models, and the right verification loop, we can pull the future forward and create dozens of new tools ready for deployment, by the end of the decade.
We envision a future where voluntary, human intervention doesn’t just occur at a person’s lowest point in their life, but eventually becomes ordinary. If we're right, we won't just be able to cure diseases that remain incurable today for hundreds of millions every year, but also expand what people can do in good health.
The future won't be one paved by doing the same kinds of molecules we already know faster or with more precision; it will be paved by being able to develop nanomachines in the truest sense, with orthogonal functions that seem like sci-fi today.
This is a long project and there are many unknowns ahead. If it is the kind of problem you want to spend years on, we are hiring.
Recent research
All work →- Consensus: Making Transformers Less Fragile to Train A token-mixing mechanism developed for proteins makes transformer training less sensitive to high learning rates across text, DNA, and protein experiments.
- Odyssey: Scaling Novel Primitives for Better Protein Models Rethinking the primitives of protein modeling: local consensus and joint sequence–structure diffusion, scaled to 102 billion parameters.