The Worst Job in the Warehouse

Unloading a shipping container by hand is widely considered one of the most grueling jobs in logistics. Workers climb into stifling, poorly lit metal boxes and manually lift, drag, and stack boxes for hours at a time, often in extreme heat, with high rates of injury and constant turnover. Despite decades of automation elsewhere in the supply chain, container unloading has remained stubbornly manual because the inside of a container is cramped, unstructured, and different every time — a nightmare environment for traditional fixed robotics.

What They're Building

Servo7 is building AI-powered robots that go inside shipping containers and unload them autonomously, using computer vision and reinforcement learning to identify, grip, and move boxes of varying size, weight, and packaging without pre-programmed choreography. The robots are designed to work alongside existing warehouse operations, slotting into dock doors and unloading bays without requiring facility redesigns, and to keep learning and improving as they encounter new box types and container configurations.

The company was founded by Pieter Becking and Jasper van Leuven and went through Y Combinator's Winter 2026 batch, raising a $500K seed round to build out its robotics platform. Becking previously worked on deep reinforcement learning at Boeing before founding and selling a recruitment technology startup, giving him experience taking both hard robotics research and early-stage companies to market. Van Leuven developed autonomous defense systems that have been deployed in Ukraine, bringing battle-tested experience in building autonomy that has to work reliably in unpredictable, high-stakes physical environments — a background that translates directly to the chaos of a shipping container.

Container unloading sits at the intersection of enormous labor pain and a market that's been largely ignored by the current wave of warehouse robotics, which has focused mostly on picking, sorting, and last-mile fulfillment. As e-commerce volumes keep climbing and warehouse labor shortages persist, Servo7's bet is that the most physically brutal, hardest-to-automate step in the chain is also one of the most valuable to solve.