About Us

Mechanica Labs was founded with the vision of developing generalizable interpretability tools and the theoretical foundations required to validate them.

We believe that understanding the internal mechanisms of neural networks is key to building safer, more efficient, and more capable AI systems.

Our interdisciplinary team combines expertise in algebraic geometry, dynamical systems, and deep learning to develop a unified mathematical theory that scales across architectures and domains.