Our mission

Advance mathematical discovery with AI systems, and make these systems the object of true scientific inquiry: open to the mathematical community to examine, reproduce, improve, and ultimately understand.

The rapid growth of AI capabilities marks a pivotal moment for mathematics. Our mission is to help the field thrive in this new era and place mathematicians and scientists in a position to shape its future. At the MAIC (pronounced /maɪk/) Center, our central goal is to bring mathematics and AI together to advance scientific discovery, deepen our mathematical understanding of modern AI systems at their natural scale, build research infrastructure for the field, and redefine mathematical training for the next generation.

Together with The University of Texas at Austin, we are founding an academic consortium to build shared infrastructure for this goal. We will pursue this objective in stages: first building the capability to generate mathematical data and environments at scale, then using that capability to post-train open models in partnership with open-weight model providers; and ultimately developing our own open model and training stack.

Frontier AI systems must themselves become objects of scientific inquiry. We will study them at their natural scale and hold that work to the standards of open science, with transparent methods and results the broader community can scrutinize and reproduce. We approach AI safety and alignment as first-order scientific challenges that require that same openness.