
1. Technology overview
dConstruct Robotics is an AI and robotics deep tech company founded in 2021 with headquarters at 10 Central Exchange Green, Singapore, and offices in Canada, Munich and the United States. It offers autonomous robots, 3D reality-capture hardware and software for construction, inspection, logistics, surveillance and smart buildings.
The d.ASH platform includes d.ASH-ER, a multi-functional autonomous robot, d.ASH Pack for wearable or robot-mounted 3D capture, d.ASH Xplorer for 3D map processing and d.ASH Ops for robotics fleet management. A new integration with Autodesk Construction Cloud was unveiled in October 2024.
2. Highlighted features & specifications
- d.ASH-ER: multi-functional autonomous robot.
- d.ASH Pack: wearable or robot-mounted 3D capture.
- d.ASH Xplorer: software for processing 3D maps.
- d.ASH Ops: robotics fleet management platform.
- Use cases: inspection, survey and surveillance, plus underground tunnel scanning added in February 2026.
3. Potential application
Progress scanning and as-built verification on high-rise and industrial projects. Rail and tunnel inspection for infrastructure operators. Facility surveillance for smart buildings.
4. Benefits
Combines robots, 3D scanning and fleet software in one platform. Integration with Autodesk Construction Cloud links site scans to project workflows. Supports use cases such as inspection, survey, surveillance and underground tunnel scanning. Singapore base serves Asia-Pacific customers.
5. Market trends & opportunities
Construction and infrastructure owners increasingly use digital twins and robotic scanning to track progress and quality. Singapore's robotics programmes support local deep tech scale-up in Asia-Pacific. Vietnam's large building and infrastructure projects can use automated scanning for progress monitoring.
6. Other information
Founded 2021; Singapore headquarters with offices in Burlington (Canada), Munich and South Pasadena (US). January 2026 MoU with Foxconn Technology Co.; March 2025 partnership with SBS Transit on rail maintenance; named highlight paper at ICCV 2025.
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