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. With Dymitr Nowicki, he coauthored the arXiv paper GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning, which introduces a deterministic planning framework combining systematic tree search with a layered world model for efficient long-horizon planning.
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.