MatrixSpace – Launches Smart Edge Sensing Solutions

Source: matrixspace

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

Real-time edge-based sensing with AI (artificial intelligence) is the ability to sense and detect objects, motion, and direction in any situation. 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.

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

Co-founder and executive chair Greg Waters is a serial entrepreneur and investor focused on the semiconductor and networking markets. He is a Director at Cyxtera Technologies, onsemi, Sierra Wireless, and Mythic AI and was previously President and CEO at Integrated Device Technology. He 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.

Independent board members are David St Jean, Senior Advisor at Centerview Partners, and Mark Twaalfhoven, CEO of Trexon. Advisors include Rene Hass, CEO of Arm, and Brian Modoff, Founder and CEO of MC3 Ventures LLC, Advisory Partner, Summit Partners and former EVP Strategy, M&A and Ventures at Qualcomm.

AI Software Defined Sensing

AI Software Defined Sensing processes sensor data to significantly enhance object recognition and tracking, day or night, and in bad weather, smoke or fog

Our AI Software Defined Sensing alerts operators to potential hazards in real time

Lightweight small AI sensing fits in your hand. It works on the ground, in handheld or wearable units, or in UAV’s. Our mobile mesh network connects everything if there’s no secure network available

Swarms of Automated UAV’s, people, and vehicles can be controlled by a single operator. This provides rapid confirmation of threats or a rapid response via UAV’s

Site Safety & Security

  • Cameras classify objects in real time — people, birds, vehicles, drones, and more 
  • Radar also classifies objects at longer distance, day or night, and in bad weather 
  • Camera and Radar data is used together to provide significantly better object classification 
  • Multiple objects of interest can be tracked in real time 
  • Mesh network connects everything
  • Operators are alerted to situations of interest
Source: matrixspace
Source: matrixspace

Base or Port Security

  • Cameras and Radar track targets in real time
  • Drones fly automatically to area of interest from a nearby roof or launch site
  • High resolution optical, radar, and lidar provide high resolution models streamed to operator
  • Operators can rapidly dismiss or escalate a safety risk

Airport or Public Transit Security

  • Cameras classify objects in real time  people, birds, vehicles, drones, and more
  • Radar also classifies objects at longer distance, day or night, and in bad weather
  • Camera and Radar data is used together to provide significantly better object classification
  • Multiple objects of interest can be tracked in real time
  • Mesh network connects everything
  • Operators are alerted to situations of interest
Source: matrixspace

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