Co-Founder · Engineering & Research
Maureese Williams
Maureese Williams is Co-Founder and an AI engineer and independent researcher specializing in agentic AI, world models, reinforcement learning, robotics, and autonomous planning systems. He is the author of the arXiv paper GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning, which introduces a deterministic planning framework combining graph memory, layered world models, and tree search for efficient long-horizon reasoning.
Prior to co-founding the company, Maureese built enterprise-scale data and AI infrastructure for Fortune 500 organizations including Vanguard, BlackRock, Comcast, and Warner Bros. Discovery, developing large-scale cloud platforms, machine learning pipelines, and distributed data systems. He has also developed multiple open-source AI frameworks and focuses on advancing reliable, scalable AI systems for robotics, simulation, and real-world autonomous agents.