Memazing Information

Memazing is an AI research and engineering company founded by Sebastian Seung focused on building more efficient, reliable, and interpretable artificial intelligence systems by leveraging connectomics: structured connectivity patterns distilled from biological intelligence. Rather than scaling models through brute-force increases in parameters and data, Memazing constrains model design at the architectural level using wiring principles refined by millions of years of evolution. These connectome-based constraints encode hard-won structure (modularity, sparsity, hierarchy, and task-aligned inductive biases) that biological systems evolved under strict energy, space, and robustness constraints. By extracting and formalizing this evolutionary intelligence into modern machine learning systems, Memazing produces models that learn faster, generalize more reliably, and operate at a fraction of the computational cost. This approach bridges neuroscience and AI to create deployable intelligence for robotics, edge computing, and adaptive control, where efficiency and robustness are non-negotiable.