Guide Robotics develops indoor positioning system (IPS) technology that enables autonomous navigation for forklifts and other robots in warehouse, construction, and security environments. The platform, marketed as GuideNS™, delivers real‑time route optimization, safety monitoring, and analytics to reduce idle time, fuel use, and maintenance costs. Revenue is generated through subscription‑based software licensing and usage‑based fees for the navigation and analytics services.
Funding
Funding not disclosed
Founders
Product
Problem
Warehouses and other industrial environments often lack reliable GPS signals, making it difficult to track the real-time location of forklifts and autonomous robots. Inefficient navigation and lack of real-time data can lead to increased idle time, safety hazards, and higher operational costs.
Solution
Guide Robotics provides an indoor positioning system (IPS) based on visual SLAM technology to enable navigation and robot autonomy in environments where GPS is unavailable. Their system, GuideNS™, uses edge devices and a cloud-based backend with APIs to localize and visualize the trajectory of material handling assets in real-time with centimeter-level accuracy. This solution enhances operational efficiency by reducing idle time and improving route efficiency, leading to faster operations and reduced fuel consumption. The system also enhances safety by providing advanced measurement and monitoring capabilities, minimizing accidents and damage. Smart analytics identify areas for optimization, further reducing operational expenses.
Target Audience
The primary target audience includes warehouse logistics operators, construction companies, and security firms seeking to optimize their operations with real-time indoor positioning and navigation solutions.
Features
- Visual SLAM-based indoor positioning system for centimeter-level accuracy
- Real-time tracking and visualization of forklifts and autonomous robots
- Edge device processing for low-latency localization
- Cloud-based backend with APIs for data analytics and integration
- Route optimization and idle time reduction
- Advanced measurement and monitoring for enhanced safety
- Smart analytics for identifying areas of operational improvement
- SOC 2 Type II compliance for data security and privacy