NEW STARTUP: Retrofit your construction equipment to make it autonomous! Bedrock Robotics @BedrockRobotics is a 2024 San Francisco startup, founded by former Waymo engineers (CEO Boris Sofman, ex-head of Waymo's trucking program), that retrofits autonomy onto existing construction machines rather than building new ones. Its product, the Bedrock Operator, is a kit of lidar, GPS, motion sensors, cameras and onboard computers with AI software that mounts to a machine in a few hours with no permanent modification, letting excavators, bulldozers, loaders, graders and compactors navigate and do earthmoving work on jobsites without a human in the cab. It is deployed with US general contractors (a named customer is Champion Site Prep in central Texas), and in 2026 it raised a $270M Series B co-led by CapitalG and the Valor Atreides AI Fund at a $1.75B valuation (over $350M total), targeting its first fully operator-out excavator deployments later in the year. I find it interesting that the retrofit approach introduced by self-driving found its product-market fit in construction. Bedrock was founded in 2024 by ex-Waymo engineers (Sofman ran Waymo's trucking program, and recent hires include a head of people from Waymo and a head of evaluation from Meta AI safety), and it points the same perception-and-planning stack at construction. Sites are private, geofenced, low-speed and pedestrian-free, with a far lower safety and regulatory bar than public roads and an immediate customer ROI. The goal here is the operator-less excavator, because a dozer drives but an excavator manipulates. Graders, compactors and dozers mostly move in patterns, close to the lane-following the AV founders already mastered. An excavator digs, swings and dumps with a multi-DOF hydraulic arm on unstructured soil, which is articulated manipulation, not locomotion. Bedrock explicitly calls excavators "complex, articulated machines" and targets its first fully operator-out excavator deployment in 2026, the hard frontier of the category. The Bedrock Operator mounts in a few hours with no permanent modification to a machine the contractor already owns, so there is no warranty risk, no fleet replacement, and it can be removed. Heavy equipment lasts fifteen to twenty years, so building autonomy into new machines leaves the existing fleet untouched for a decade; a removable kit captures that installed base today, the same moat Gravis is chasing on the other continent. A $1.75B valuation on a company targeting its first operator-less deployment is AI-frontier pricing, and the backers are AI and growth money (CapitalG / Google, NVIDIA, 8VC, Eclipse, a Valor "AI Fund") plus, tellingly, Tishman Speyer, a giant real-estate developer, and MIT. The developer money is customer-adjacent, a signal of pull from the people who actually build, while the named live customer (Champion Site Prep, central Texas) grounds it in real jobsite deployment rather than a demo.