Context for Codebases
Teams and AI agents struggle to understand and reason across large codebases due to missing, fragmented, or incomplete context.
Driver precomputes and structures codebase context to produce symbol-complete documentation, architecture maps, and history guides for accurate code understanding.
Software developers and engineering teams (and their AI agents) working on complex codebases.
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.




