Blog

Discover insights and updates on our work in building reliable and interpretable AI systems.

March 12, 2025•10 min read

Breaking Open the Black Box: Making Protein Structure Prediction Interpretable

A look inside our new paper on interpretable protein structure prediction using sparse autoencoders and what it means for the future of trustworthy protein AI.

NP

Nithin Parsan

Co-Founder

November 7, 2024•7 min read

Neurons Encoding Catalytic Serines: A Case Study on Interpretability in Protein Models

We demonstrate how two neurons in a protein language model encode the catalytic machinery of serine protease, showing how interpretability techniques can transfer to biological domains.

NP

Nithin Parsan

Co-Founder

October 20, 2024•5 min read

We've Launched on Y Combinator!

After months of hard work and development, we're excited to share our vision for steerable and interpretable AI for protein engineering with the world.

NP

Nithin Parsan

Co-Founder