Aubrey Inmon is an AI Researcher at ToltIQ, where he leads platform health testing and spot testing on the ToltIQ platform. He is also responsible for providing actionable insights for output enhancement.

As a member of the AI research team Aubrey performed the primary statistical analysis and final draft editing on "A Comprehensive Analysis of RAG-Enhanced LLM Accuracy Across 20 Critical Due Diligence Use Cases." He has also contributed to bulk query agents testing, deep research comparisons between ToltIQ and standalone platforms, improving the FAQ and Fin documentation, and assisted in preliminary skills code development for blueprints.

Aubrey graduated from Eckerd College in May 2025 with a degree in Marine Science and a Minor in Chemistry. He enjoys problem solving and strategic thinking, developed in part through previous environmental research internships where he compiled fire and TRI facility data to determine high pollutant risk areas, as well as through his time leading both the on-campus improv club and tabletop games club.

Outside of work, Aubrey enjoys board game development, 3D printing, and woodworking.