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Mobile LiDAR solutions from Mach9 produce 2D and 3D maps 30x faster than others. With its growth, the Pittsburgh-based company upgraded its website, hired key engineers and salespeople, and moved to Silicon Valley.
FREMONT, CA: "We found that instead of saving time and money, many infrastructure organizations were burdened with labor-intensive data manipulation," says Zach Sussman, Mach9 co-founder and head of software engineering. "We leveraged our deep understanding of AI and computer vision capabilities to build a software solution that intelligently combines information from cameras, LiDAR, and other sources to create a holistic and comprehensive picture of the world. Ultimately, it is a very elegant solution to a complex problem that drastically reduces the time to create 2D and 3D maps."
A business dedicated to geospatial production solutions, Mach9, released its first product. The new software makes 2D and 3D CAD and GIS engineering deliverables faster than ever by utilizing AI and computer vision. This product introduction coincides with Mach9's transition to a software-first business model, which was motivated by the growing need for solutions to expedite geospatial data analysis and processing for infrastructure development.
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"The organizations that own and manage our infrastructure are dependent on high-quality maps. New mapping technologies, like mobile LiDAR, have transformative potential for engineering and construction firms, departments of transportation, electric utilities, railroads, and other government entities. However, the high costs and long wait times required to generate mapping deliverables hamper the broad adoption of these amazing tools," says Alexander Baikovitz, co-founder and CEO. "Our goal at Mach9 is to unlock this potential by creating a geospatial production platform for those that need high-quality maps and actionable data fast."
Recent developments in data collecting via "reality captures" systems like 360-degree cameras, remote sensing on drones, and mobile LiDAR have fueled the fast-expanding geospatial technology sector. These systems create previously unheard-of three-dimensional data on actual physical objects, including structures, roads, trains, and above-ground utilities, creating a new benchmark for 2D and 3D maps that is more thorough and accurate than traditional mapping techniques. But to transform these enormous data sets into useful maps and "Digital Twins," which are frequently made up of LiDAR point clouds and high-resolution photography, labor- and time-intensive processes are needed.
Since its establishment in 2021 at Carnegie Mellon University, Mach9 has been creating advanced mapping and data collection systems. During their tenure at CMU's renowned Robotics Institute, Alexander Baikovitz, Haowen Shi, Michael Mong, and Zachary Sussman encountered each other. Together, they realized they might use their combined expertise in building sophisticated robotic systems for autonomous mapping and mobility to aid infrastructure organizations in implementing innovations that would ultimately enhance daily living.
Mach9 is strategically investing in the company's expansion simultaneously with the product introduction. Its corporate headquarters were relocated to Pittsburgh's Bloomfield neighborhood, ideally inside the flourishing Pittsburgh robotics network. They have established a foothold in Silicon Valley by hiring an experienced software engineer Josh Dague.
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