Overview

Achira develops atomistic foundation simulation models for drug discovery by integrating geometric deep learning with physics, quantum chemistry, and statistical mechanics to create advanced potentials and generative models. It generates large, accurate synthetic datasets free of experimental artifacts, enabling researchers to pursue inverse design by optimizing compounds directly from target properties. The approach combines physics-based simulations with data-driven learning, setting it apart from firms that rely solely on limited data or standalone ML models. Achira aims to shorten drug discovery timelines and lowers costs by providing reliable inverse-design solutions to pharmaceutical and biotech partners through partnerships, licensing, and collaborations.