Driver
ActiveContext for Codebases
About
Driver is the context layer that translates your codebase into shared, structured understanding. By computing context ahead of time, Driver delivers symbol‑complete documentation, architecture maps, and history guides so teams and agents can reason across an entire codebase without guesswork.
Founders · 2
Adam was the co-founder of Aktive, an embedded machine learning development platform that he sold to Nike in 2019, and Rithmio, which he sold to Bosch Sensortec in 2017 (part of the the BHI260AP). Adam did his B.S., M.S., and Ph.D. (abd) at the University of Illinois in Urbana Champaign in Mechanical Engineering, Computer Science, and Control and Estimation, respectively.
Daniel was co-founder and Head of Engineering at Infinity AI. Before that, he helped run the boutique software engineering firm Edge Analytics. In 2017, Daniel completed a PhD at UC Berkeley, developing methods for Magnetic Particle Imaging. He then led software engineering at Magnetic Insight, a startup he and others spun out of Berkeley to commercialize this technology.
Launch
We help teams understand their business-critical systems at a fraction of the time and cost
Driver AI is a tool that ingests codebases and generates internal, multi-level documentation to help teams understand complex software quickly. It explains code capabilities and enables interactive documentation for executives, business, and technical audiences, aiming to reduce technical discovery from months to days and speed project delivery.
From the original launch (Feb 2024) — may be outdated.
Formerly “Driver AI”
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