{"id":111406,"title":"SubVysion: Preventing $150B is wasted construction spending","tagline":"Autonomous rovers building the 'Google Maps' of subsurface infrastructure","body":"\u003chttps://youtu.be/5IY3vHEJ7J4\u003e\n\nConstruction has a mapping problem. Of the $2.2T in annual US construction spending, $150B is wasted due to a lack of subsurface knowledge. All construction starts from the ground up, and more often than not, unexpected assets underneath the surface will hold a construction project back. Whether it's an unknown utility line, unexpected rock layer, or old foundation that wasn’t on any design map, the costs of delays from underground conflicts quickly add up. \n\nTake utility strikes, when an excavator hits an active utility line. For every dollar spent on the explicit repair cost of that utility line itself, the contractor loses an additional $30 per repair-dollar in project delays, insurance claims, idle work crews, and increased insurance premiums. For a hyperscale project such as data center construction, a single day of delay can cost the cloud-provider up to $14 million dollars for that single day.\n\nIn metropolitan areas, maps are incomplete at best and none create a unified picture of critical infrastructure, making excavation especially dangerous when natural gas or electric lines are broken.\n\nEnter SubVysion. We’ve built a fleet of autonomous rovers carrying ground-penetrating radar and other sensors that create a centimeter-accurate map of subsurface infrastructure. Our hardware is the first and the best to map the entirety of US infrastructure. Using our rovers, we comprehensively map construction sites, city streets, and even larger indoor buildings, at 100x better granularity and 10x the speed (with a single rover) compared to our competitors. We process vast amounts of data using machine learning and agents, and output that data into an easy-to-understand 3D scene. \n\nWho are we? Maxwell Stone was an early ML engineer at Roboflow (YC S20), and Wenson Tang built the world’s smallest and cheapest LiDAR-capable drone for adverse environments. We both studied computer science at the University of Pennsylvania. Together, we’re building SubVysion to map the entirety of America’s subsurface infrastructure.\n\nWe’re currently on job sites in Philadelphia and Texas, helping our first market of utility contractors save hundreds of thousands of dollars every year. We’re soon to expand our mapping services to municipalities and energy providers as we scale up our rover fleet and capacity!\n\nIf you’re in the energy, infrastructure, or hyperscale construction world, we’d love to hear from you at [founders@subvysion.com](mailto:founders@subvysion.com)!","slug":"Sys-subvysion-preventing-150b-is-wasted-construction-spending","created_at":"2026-08-19T23:30:02.157Z","updated_at":"2026-09-19T04:38:05.275Z","total_vote_count":6,"url":"https://www.ycombinator.com/launches/Sys-subvysion-preventing-150b-is-wasted-construction-spending","share_image_url":"//bookface-static.ycombinator.com/assets/ycdc/yc-og-image-c440a0ad1dacfb86eeeb343717479cc54d256614449b4ef719977a0a451f8bc8.png","company":{"id":33313,"name":"SubVysion","slug":"subvysion","url":"https://subvysion.com","logo":"https://bookface-images.s3.amazonaws.com/small_logos/0df819d609df4c8e15ebdc21bbc1f518d56e52d8.png","batch":"Summer 2026","industry":"Real Estate and Construction","tags":["Hard Tech","Computer Vision","Real Estate","Construction","Infrastructure"],"search_path":"https://bookface.ycombinator.com/company/33313"}}