AI Edge Sensing Company MatrixSpace Announces Close of $10M Funding Round

Addressing the next generation of AI-enabled sensing solutions, MatrixSpace announced completion of $10.1M in private investor funding with secured enterprise and government customers in place on August 10th.

MatrixSpace is a company that has developed a real-time edge-based sensing with AI. From their recent press release, “MatrixSpace’s ability to combine industry leading sensing, AI edge processing and RF communication in real-time is a major technology breakthrough with multiple vertical market applications.”

MatrixSpace was founded in late 2019 in Burlington Massachusetts and has assembled a proven US-based leadership team from the RF, radar, artificial intelligence, and autonomy sectors.  

Greg Waters is co-founder and executive chair, focused on the semiconductor and networking markets. He is a Director at Cyxtera Technologies, onsemi, Sierra Wireless, and Mythic AI. Waters was previously President and CEO at Integrated Device Technology, and he has held leadership roles at Skyworks Solutions, Agere Systems, and Texas Instruments.  

Co-founder and chief scientist Dr José Martínez Lorenzo is associate professor at Northeastern University and was an NSF Early CAREER recipient for his work in 4D mm-Wave Compressive Sensing and Imaging at One Thousand Volumetric Frames per Second. Matthew Kling is VP Autonomous Systems and Dan Nobbe is VP of RF and Radar Systems, holding over 50 patents in mobile and RF communications. 

Why it’s important: MatrixSpace’s recent funding close will help the company further develop and refine their IP, as well as start marketing their offerings to many flight control guidance and autonomous systems OEM’s that are seeking refined image processing and stratification tools for their aircraft. If proven robust enough for widespread commercial implementation, MatrixSpace’s IP is incredibly valuable; an efficient plug-and-play edge processing system, coupled with sound flight control logic and decision making once traffic conflicts have been detected, will be integral to detect and avoid (DAA systems).