Unload provides a battery‑free, LIDAR‑free robotic system that moves along three‑dimensional rails to transport compactly organized bins and pallets within warehouses and fulfillment centers. By eliminating aisles and overhead conveyors, the solution increases storage density and cuts automation costs by over 60%, while its robots travel up to 6 m/s and lift 200 lb bins (with a roadmap for 1‑ton pallets), enabling faster order fulfillment without additional labor.
Funding
Funding not disclosed
Founders
Product
Problem
Warehouse and retail fulfillment centers often struggle with inefficient space utilization, high automation costs, and limited robot performance, leading to slower order processing and the need for additional labor.
Solution
Unload offers a battery‑free, LIDAR‑free robotic system that moves along three‑dimensional transportation rails to transport compactly organized bins and pallets within a warehouse. By eliminating bulky aisles and overhead conveyors, the system maximizes storage density while reducing infrastructure costs by over 60%. The horizontal robots travel up to 6 m/s and can lift 200 lb bins, with a roadmap to handle 1‑ton pallet‑size containers. This combination delivers faster order fulfillment without expanding the workforce, enabling retailers to scale operations in existing footprints.
Target Audience
Primary customers are mid‑size to large retailers, e‑commerce fulfillment centers, and distribution warehouses seeking to improve storage efficiency and order throughput without large capital outlays.
Features
- Three‑dimensional rail network that eliminates wasted aisle and overhead space
- Battery‑free robots powered via continuous rail power, removing the need for charging cycles
- High‑speed linear motion up to 6 m/s for rapid item transport
- Load capacity of 200 lb per bin with future support for 1‑ton pallet containers
- Compact box organization system that stacks bins tightly, increasing storage density
- Cost‑effective design that cuts automation expenses by more than 60% compared to traditional robotic solutions