Graphon is the graph‑native AI engine that runs on CPUs, smashing context
limits to deliver real‑time search, reasoning, and prediction across
video|
About Us
Climate change, cancer, planetary scale logistics, these challenges live in the physical world, not just in words. Solving them demands models that reason across video, sensor streams, and spatial data, not petabytes of text. At Graphon we’re proving you don’t need billion‑parameter behemoths to make breakthroughs. By fusing cutting edge graph theory with multimodal learning, we cut the compute, data, and CO₂ while boosting accuracy on the problems that actually matter.
We're powering the next leap in CPU-first, graph-native multimodal AI, unlocking unlimited context lengths and turning unstructured data into actionable intelligence.
Our team includes FAANG engineers, ML scientists from top labs, product operators, and PhDs from top universities around the world. We are also guided by advisors from Microsoft Research, Berkeley, and University of Pennsylvania. Together we’re building AI that scales responsibly, from the physical world up. If you're excited about unlocking the next frontier in AI with graph foundation models for unstructured data let's connect.
Join Us
If hallway debates about non‑Euclidean spaces, natural‑gradient hacks, and why your matrix really lives on a manifold get you fired up, you’ll fit right in. We’re looking for mathematicians, physicists, systems engineers, and ML scientists eager to turn elegant theory into production code that moves the physical world.