A new entrant in autonomous trucking is taking a different route to commercialization: removing the cab entirely. Autonomous Start-Up Humble Announces Cabless Autonomous Electric Hauler A new autonomous truck startup company is targeting yard, port, and short-haul freight with a lighter, fully autonomous platform designed for dock-to-dock moves. Humble, a San Francisco-based startup, emerged from stealth mode on April 21 by announcing a fully autonomous, cabless, battery-electric freight hauler. The company also said it has raised $24 million in seed funding. The funding round was led by Eclipse, with participation from Energy Impact Partners and other investors. Humble said its approach is focused on purpose-built, driverless equipment for controlled logistics environments. The company believes its freight hauler solution could accelerate adoption of autonomy in freight operations that have so far resisted large-scale deployment. A Cabless Platform Built for Freight Efficiency The Humble Hauler is designed from the ground up as a modular, autonomous freight platform rather than a retrofitted Class 8 tractor. Its first application targets container movement in environments such as warehouses, railyards, and seaports. By eliminating the cab, Humble said the vehicle is significantly lighter than a traditional tractor-trailer combination. That reduction in weight can translate into higher payload efficiency and lower operating costs, while also enabling new use cases where conventional trucks are less practical. The platform is designed to adapt to different cargo types and logistics workflows, positioning it as a flexible solution for industrial and intermodal operations. Designed for Dock-to-Dock Autonomy Humble’s system combines cameras, Lidar, and radar to provide 360-degree visibility, supporting what the company describes as true dock-to-dock autonomous operation. At the core of the autonomy stack are vision-language-action (VLA) models, a newer approach in artificial intelligence that enables machines to interpret complex environments and make decisions in unfamiliar scenarios. The company says