Caja Robotics provides a cloud‑native, AI‑driven order‑fulfillment platform that coordinates vertically and horizontally moving robots with modular workstations to automate picking in warehouses. The system integrates with any WMS via RESTful APIs, uses a 4‑dimensional navigation engine for real‑time route optimization, and delivers up to 99.8 % pick accuracy while reducing labor costs by more than 60 %.
Funding
Funding not disclosed
Founders
Product
Problem
Warehouse operators face high labor costs, limited picking accuracy, and difficulty scaling operations to meet fluctuating omnichannel demand, especially during peak periods. Integrating disparate automation hardware with existing Warehouse Management Systems (WMS) often requires extensive custom engineering, slowing deployment and reducing ROI.
Solution
Caja Robotics delivers a fully automated order‑fulfillment system that combines vertically and horizontally moving robots with configurable workstations, all orchestrated by a cloud‑based AI platform. The platform uses machine‑learning‑driven swarm management and a proprietary 4‑dimensional navigation algorithm to compute optimal robot routes in real time, maximizing throughput while maintaining 99.8 % pick accuracy. Its modular workstation designs (eCommerce, Retail, Hybrid) support unit and bulk picking for a range of SKU velocities, enabling seamless omnichannel fulfillment. The solution integrates with any WMS via lightweight RESTful APIs, allowing rapid deployment without extensive middleware. Cloud hosting provides elastic compute resources for large‑scale simulations, inventory prioritization, and continuous performance tuning. By eliminating the need for multiple robot types and reducing manual labor, the system can increase warehouse productivity by up to 400 % and cut labor expenses by more than 60 %.
Target Audience
The primary customers are midsize to large warehouse operators in eCommerce, retail, food & beverage, pharmaceutical, and third‑party logistics (3PL) sectors seeking to automate omnichannel fulfillment and reduce labor dependency.
Features
- AI‑powered swarm management with a 4D navigation engine that dynamically optimizes robot paths for speed and collision avoidance.
- Cloud‑native control layer offering scalable compute, remote diagnostics, and simulation tools for layout planning and demand forecasting.
- Dual‑mode robots (vertical lift up to 5.3 m and horizontal shuttles) that collaborate to transport bins between storage racks and workstations.
- Modular workstations (eCommerce unit‑pick, Retail bulk‑pick, Hybrid mixed‑pick) configurable for specific SKU velocity profiles and space constraints.
- End‑to‑end WMS integration via RESTful APIs, supporting real‑time order status updates, inventory sync, and SLA enforcement.
- Smart storage capability extending up to 12 m height, maximizing cubic utilization in existing facilities.
- Industry‑specific templates for food & beverage, pharma, apparel, grocery, and 3PL environments, each with compliance‑ready temperature and handling controls.
- Continuous AI-driven inventory and order prioritization that adapts to demand patterns, reducing pick errors and improving order cycle time.