dConstruct Technologies (“dConstruct”) and Foxconn Technology Co. (“FTC”) announced a strategic partnership to jointly design and manufacture SLAM devices, Autonomous Mobile Robots (AMRs), and critical robotics subsystems, while strengthening the regional supply chain for advanced robotics components.

Under the partnership, FTC will provide contract manufacturing services for dConstruct’s d.ASH Pack series of reality capture devices, the d.ASH-ER series of AMRs for logistics, surveillance, security, and inspection, as well as core robotics subsystems spanning perception, power, compute, and communications.

“Robotics companies often struggle not with innovation, but with scaling production and securing reliable component supply,” said Chinn Lim, CEO and co-founder dConstruct. “

This partnership with FTC allows us to industrialise our SLAM and autonomous robotics platforms while building a resilient, trusted component supply chain that can support the broader robotics ecosystem in the future.” FTC’s participation reflects its strategic expansion into AI, robotics, and intelligent systems manufacturing, leveraging decades of experience in global supply chain management and high-volume, high-reliability production.

“Manufacturing robotics products with the most advanced smart manufacturing services, while developing related leading edge technologies to expand overall service, has always been a key objective for FTC. The partnership with dConstruct not only helps achieve these goals but also brings FTC closer to the Southeast Asian market. We believe this will be a landmark collaboration”, said YuKai Lin, Chief Investment Officer, FTC.

The partnership is positioned to support robotics deployments across smart cities, transportation hubs, logistics and warehousing, construction and industrial automation, and security and facilities management. By integrating manufacturing and supply chain capabilities into a single ecosystem, dConstruct and FTC aim to reduce commercialisation risk, accelerate time-to-market, and improve reliability for robotics companies transitioning from prototype to mass deployment.

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