Retina Robotics offers the WAM™ system, a plug‑and‑play robotic module that mounts on existing forklifts to provide barcode‑free pallet detection using edge AI and depth sensors. The system streams real‑time pallet locations to warehouse management systems via standard APIs, enabling continuous inventory visibility and reducing manual scanning. Revenue is generated through hardware sales of the unit and recurring service contracts for software licensing, analytics, and support.
Funding
Funding not disclosed
Founders
Product
Problem
Warehouse operators rely on manual barcode scanning and periodic audits to track pallets, which introduces labor overhead, scanning errors, and bottlenecks that limit picking and put‑away throughput.
Solution
Retina Robotics delivers the WAM™ system, a compact, plug‑and‑play robotic module that attaches to existing forklifts or other material handling equipment. The device runs edge‑level computer‑vision and AI algorithms to identify and locate pallets without requiring barcodes or RFID tags. By streaming real‑time pallet positions to the warehouse management system, WAM eliminates the need for handheld scanners and manual validation steps. The continuous, hands‑free inventory view enables operators to increase picking and put‑away speeds while maintaining accurate stock records. Integration is achieved through standard forklift power and data interfaces, and the solution can be retrofitted to any legacy fleet. Ongoing software updates and analytics are provided via a subscription service, ensuring the system stays aligned with evolving operational requirements.
Target Audience
The primary customers are warehouse operators and third‑party logistics providers running high‑volume fulfillment or distribution centers, as well as equipment manufacturers looking to retrofit existing forklift fleets with smart inventory capabilities.
Features
- Plug‑and‑play mounting kit that bolts onto standard forklift forks or MHE lifts without mechanical modification
- Onboard high‑resolution cameras and depth sensors combined with edge AI for label‑agnostic pallet detection and pose estimation
- Real‑time pallet tracking engine that publishes location updates to WMS via RESTful or OPC‑UA APIs
- Automatic audit and exception reporting that flags missing, mis‑placed, or damaged pallets without operator intervention
- Over‑the‑air firmware and model updates to improve detection accuracy and add new analytics capabilities
- Rugged industrial enclosure meeting ISO 10218 safety standards for continuous operation in harsh warehouse environments
- Integrated analytics dashboard offering throughput metrics, error rates, and predictive maintenance alerts