DeepX develops autonomous operation systems for construction machinery, enabling simultaneous automation of multiple machines in complex environments like pneumatic caisson construction. This technology addresses labor shortages and enhances operational efficiency by reducing the need for manual intervention in heavy equipment operations.
Funding
$15M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The construction industry faces significant labor shortages and an aging workforce, creating a need for automation solutions to maintain productivity and efficiency. Operating heavy machinery in complex environments, such as pneumatic caisson construction, requires skilled operators, and the industry struggles with transferring tacit knowledge and ensuring safety in hazardous conditions.
Solution
DeepX provides autonomous operation systems for construction machinery, enabling the automation of tasks such as excavation, soil removal, and crane operation. Their technology leverages AI, real-time 3D visualization using digital twins, and robotics to allow multiple machines to operate simultaneously and continuously. The systems adapt to dynamic site conditions, including variations in soil properties and the position of other equipment, ensuring stable and safe operation. DeepX's solutions address labor shortages, improve safety by reducing the need for manual intervention, and enhance overall productivity by enabling continuous operation, even during off-peak hours. The systems are designed for easy integration with existing machinery and can seamlessly switch between autonomous and manual control as needed.
Target Audience
DeepX targets construction companies, civil engineering firms, and heavy equipment manufacturers seeking to automate their operations, improve safety, and address labor shortages.
Features
- ROS2-based robotic system for robust and scalable autonomous operation
- Real-time 3D visualization using digital twin technology for comprehensive site awareness
- AI-powered perception and control algorithms for adapting to dynamic environments
- Collision prevention system with alerts and automatic operation stop
- User-friendly GUI for specifying work details and initiating automated operation
- Autonomous path planning that considers terrain and equipment positions
- Remote operation capabilities for hazardous environments
- Integration with LiDAR for precise environmental perception