Neuro-Symbolic AI · Research & Education
We lead the movement toward interpretable, human-readable AI — building neuro-symbolic systems that a person can understand, correct, and teach.
Today's AI is a
black box.
We are building
the alternative.
The dominant AI systems offer no fine-grained way for humans to understand, examine, or contribute to their inner workings. The CENTAUR AI Institute leads a growing research and education movement around neuro-symbolic AI — approaches designed to keep intelligence legible, correctable, and aligned with human reasoning from first principles.
We help narrow the gap between today's AI and the original Centaur vision: systems designed for deep, symbiotic collaboration with humans.
Invited expert talks on the frontier of neuro-symbolic AI. Join the livestream on YouTube or LinkedIn, and continue the conversation on Discord.
Register on Luma →Tutorials, state-of-the-art research results, and leading startups in the field. Two intensive days with luminaries — learn, connect, and push forward.
Register Early — NSSS26 →A new general framework for analyzing a large class of reasoning systems — including modern neuro-symbolic approaches — showing a path toward provably reliable inference.
Integrated ML analysis of proteomic and transcriptomic data — groundwork for interpretable AI in medicine that clinicians can actually examine and correct.
You've noticed neuro-symbolic AI appearing in paper titles, funding calls, and job ads. You want to understand why — and whether it's the real thing.
Start learning →Working on something ambitious and multidisciplinary. Seeking a co-advisor, mentor, or collaborators from cognitive science, logic, mathematics, or neuroscience.
Join the research →You've shipped production ML and want to understand interpretable systems, reliable reasoning, and the next wave of AI beyond today's mainstream.
Tools & jobs →Looking to partner or sponsor foundational AI research that prioritizes transparency, human alignment, and the long-term health of the field.
Reach out →"The Bauhaus insisted that structure, legibility, and honesty of materials are not constraints — they are the design. We hold the same conviction about intelligence: transparency is not a limitation. It is the point."
Design principle · CENTAUR AI Institute