Building the AI layer for transportation.
DRIVE AI unites industry, public agencies, and UC Berkeley researchers across autonomy, robotics, electrification, and connectivity. It aligns technology, infrastructure, policy, and talent to move from the lab to deployment at scale.
Data · Robotics · Infrastructure · Vehicles · Electrification · AI
One ecosystem for research and deployment.
DRIVE AI convenes the people and technology reshaping how we move, from robotics and electrified fleets to connected infrastructure and beyond.
Technology
Shared safety-case architecture and scenario intelligence that validate autonomy before mandates formalize.
Infrastructure
Closed R&D and public validation corridors, paired with high-fidelity digital twins.
Policy
Convening federal, state, and municipal leaders to build interoperable, two-way data frameworks the public can trust.
Talent
Priority access to UC Berkeley's AI, robotics, and mobility researchers, and the next-generation workforce behind them.
A neutral platform for the problems no one solves alone.
DRIVE AI is a pre-competitive consortium where companies, public agencies, and UC Berkeley researchers work the system-level conditions that scaled deployment actually depends on — infrastructure, data, operations, and workforce, not vehicles alone.
Research Thrusts
Connected infrastructure & V2X · Digital twins · Work zone safety · Emergency response · Infrastructure sensing & data fusion
Industry funds the work and helps shape the topics.
Berkeley keeps it neutral.
What Members Gain
Member-directed research
Help set the applied research agenda and join the projects it funds.
Facilities & testbeds
AV track, V2X lab, and drone park at Richmond, plus live public corridors.
Public agency access
Direct engagement with CalSTA, Caltrans, cities, and first responders.
Talent pipeline
Sponsored capstones, industry fellows, and early access to Berkeley graduates.
Workshops & working groups
Technical convenings where members compare notes on shared problems.
Deployment frameworks
Early visibility into standards and roadmaps while they are still forming.
Richmond Field Station: 175 acres on the Bay.
UC Berkeley's applied-research campus for connected, electrified, and autonomous systems, six miles from main campus. It's the physical home of DRIVE AI, with validation built for deep tech at full scale across land, sea, sky, and space.
Explore the Field Station