Our mission is to build the foundational representation of the real world to enable generalizable intelligence.
The Problem We're Solving
Modern AI models are powerful, but still constrained by limited context.
Enterprises store trillions of tokens across documents, videos, logs, databases, meetings, and internal systems. Traditional retrieval systems like RAG can surface relevant snippets, but they cannot understand how information connects across datasets, modalities, and time.
They can retrieve. They cannot relate.
As a result, AI agents and agentic systems can answer questions about isolated pieces of data, but struggle to reason across the full organizational context needed for accuracy and reliability.
How is Graphon Different
Graphon introduces a new layer in the AI stack: Relational Context Intelligence.
Existing systems retrieve isolated context.
Graphon models how that context connects.
The result is a persistent relational memory that lets AI reason across multimodal data at scale.
Team & Vision
Leadership
Graphon AI was founded by researchers and engineers with deep expertise in AI, machine learning systems, and large-scale enterprise infrastructure. The leadership team includes former researchers and engineers from Amazon, Meta, Google, Apple, NVIDIA, Rivian, Samsung AI Center, NASA, and leading research institutions.
Technical Advisors
Jennifer Chayes
Dean, College of Computing, Data Science, and Society, UC Berkeley
Christian Borgs
Professor of Computer Science, UC Berkeley, Co-creator of graphon theory
Alejandro Ribeiro
Professor, University of Pennsylvania ESE Department
Business Advisors
Bask Iyer
Ex-CIO of VMWare, Honeywell, and Juniper Networks
Alan Fletcher
Ex-COO of Regrello (acquired by Salesforce)
Simon Mulcahy
Ex-Chief Innovation Officer of Salesforce
Akash Bhatia
Senior Partner and Global Tech Sector Lead at BCG