Manifold Tech - 深圳留形科技有限公司

Manifold Tech is a spatial-sensing and robotics-perception company headquartered in Shenzhen, China, operating out of the Shenzhen North Station Hong Kong-Macao Youth Innovation and Entrepreneurship Center. Its own site states an earlier Hong Kong entity was established in October 2021 and the Shenzhen entity in August 2022. The company's About page states its core team originates from the University of Hong Kong's MaRS laboratory, with members who have won international algorithm competitions and prior experience at organizations including DJI and NVIDIA, and reports a team of more than 200 people. General contact is handled through [email protected].

The company's flagship hardware product is the Q9000, described on its product page as a handheld real-time spatial scanner priced from RMB 9,980. Published specifications include point cloud accuracy better than 1 centimeter, a point rate of 200,000 points per second, global positioning accuracy better than 5 centimeters, a measurement range of up to 70 meters at 80 percent target reflectivity, three 2-megapixel global-shutter cameras, a 4,000 mAh battery giving roughly 120 minutes of runtime, and a body weight of 747 grams. The scanner is driven by the company's own MindSLAM simultaneous-localization-and-mapping algorithm. A second hardware product, Odin1, is described as a compact spatial-memory module for robots, with a depth sensor offering 240 by 180 resolution, a 120 by 90 degree field of view, a measurement range up to 30 meters at 10 percent reflectivity and 70 meters at 90 percent reflectivity, a point rate up to 700,000 points per second, built-in SLAM positioning accuracy of plus or minus 5 centimeters plus 1 percent, a weight of about 280 grams, and a Robot Operating System software development kit for integration into robot navigation stacks. The company also sells a Pocket2 Pro scanning device and operates a cloud data platform called MindCloudX.AI.

Manifold Tech's website lists a dedicated 'Robotics and Unmanned Systems' solutions page describing use cases including large-scale robot deployment at public events, autonomous navigation for robot marathon events, and support for RoboMaster robotics competition and training platforms, alongside separate solution pages for spatial scanning and digital modeling, surveying and engineering measurement, and industrial and energy environments. This combination of published navigation-grade sensor specifications and named robotics use cases supports classifying the company as a supplier of navigation and perception components to the robotics sector, distinct from its adjacent surveying and industrial-inspection business lines. No public funding round, employee certification, or stock listing information was identified for the company.