AIM Intelligent Machines

Autonomous platform retrofitting heavy earthmoving equipment to operate independently for mining, site prep, and infrastructure work

Autonomous equipment retrofittingplug-and-play installation (age/make/model agnostic)LiDAR-based 3D mappingedge computing controlsremote equipment operation

About AIM Intelligent Machines

AIM Intelligent Machines is a Seattle-area autonomous platform company founded in 2021 that retrofits heavy earthmoving machinery—including bulldozers, excavators, dozers, loaders, and skid steers—to operate completely autonomously. The platform represents the first embodied AI system designed specifically for earthmoving operations, combining sensor technology from autonomous vehicles with a proprietary software stack built exclusively for construction and mining applications. AIM's plug-and-play retrofit solution works with equipment regardless of make, model, size, or age, using LiDAR sensors and edge compute systems to create real-time 3D maps and autonomously handle dig, haul, plow, fill, and level operations without human operators in the vehicle. A remote supervision platform enables one operator to manage an entire site of autonomous equipment, dramatically improving safety and productivity. The company raised $50M in Series A funding (June 2025) from top-tier investors including Khosla Ventures, General Catalyst, and others. AIM's technology transforms high-risk environments by creating zero-entry worksites where personnel are never near earthmoving equipment, significantly reducing workplace hazards. The company is built by engineers with experience at Waymo, SpaceX, Google, Stripe, Tesla, and Apple. Initial deployments span construction and mining operations across the U.S. and Australia, with applications in highway demolition, wind turbine foundation work, residential site grading, and solar farm pile driving. AIM projects expanding autonomous earthmoving capabilities to terraforming applications on Earth and eventually other planets.

Key features

  • Autonomous equipment retrofitting

  • plug-and-play installation (age/make/model agnostic)

  • LiDAR-based 3D mapping

  • edge computing controls

  • remote equipment operation

  • zero-entry worksites

  • fleet autonomy

  • continuous operation capability

  • Waymo-caliber autonomous systems

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