TREY Autonomous Forklift
About
About TREY Autonomous Forklift
TREY is Gideon’s autonomous counterbalanced forklift for loading and unloading palletized goods from truck trailers. Medium Duty and Heavy Duty chassis address different load classes: the current specifications list capacities of 1,600 and 2,722 kilograms respectively. The two configurations use AI vision and autonomous navigation to work with multiple pallet and trailer types.
Browser-based fleet software coordinates multiple vehicles and connects with WMS, WES and MES systems. Medium Duty TREY is rated for more than 12 hours at full charge, while Heavy Duty is rated above 10 hours; both support opportunity charging. A 360-degree laser-scanner field protects workers around the vehicle, and pallet detection and mapping reduce the fixed infrastructure needed in a loading bay.
Capabilities
Source-backed capabilities
- Operating environments: North American manufacturing and distribution loading docks
- Control modes: Autonomous
- Pallet transport and handling
Commercial deployment - 2026-10-07 - Load and unload palletized goods between staging areas and trailers. - environment: North American manufacturing and distribution loading docks
Source - Autonomous pallet transport
Claimed - 2026-10-07 - Gideon launches TREY autonomous forklift commercially across North America
Source
Timeline
- Gideon launches TREY autonomous forklift commercially across North America
2026-10-07 - Product Launch - Medium- and heavy-duty models are offered, with advertised battery operating times of 12 and 10 hours respectively. Gideon rates handling at up to 28 pallets or cages per hour and supports more than 119 load-carrier types. Fleet management and a dashboard track trailer cycles, operating performance and associate interventions; time-stamped load images provide an inventory audit trail.
Source - Gideon launches TREY for autonomous trailer loading
2022-04-21 - Product Launch - TREY was designed to load and unload pallets autonomously while working in dynamic loading-bay environments alongside people. Gideon said the workflow could save more than 80% of a worker’s time during trailer loading and unloading. The system combined AI and 3D-vision autonomy, workflow-orchestration software and a purpose-built counterbalanced chassis.
Source
Context
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