Innovation Works

SpIntellx has the first-mover advantage in Precision Pathology and Spatially Intelligent Biology by applying truly unbiased spatial analytics software powered by explainable AI to decipher the complex cancer biology. SpIntellx’s software solutions have the potential to unlock a plethora of new applications in medicine and research by answering the fundamental question “Why?”, thus revealing the underlying patient-specific disease network biology, across each stage of the drug development, diagnostics, and treatment pipelines.

Sterile Vision provides a platform for organizing and tracking sterilizable tools and consumables through an entire use cycle in the perioperative environment, such as through multiple steps of the sterilization, processing, and distribution workflow. This is accomplished through the use of computer vision to capture images of the surgical tools along multiple steps of the use cycle, and machine learning algorithms to process the images and determine the identity of each surgical tool. This information will be used to determine to remove most if not all of the points of potential tool loss and offer great time savings by providing automatic methods and systems for tool tracking.

From the shelves of a warehouse to your kitchen sink, the real world is full of clutter. At CapSen Robotics, their goal is to provide a universal 3D computer vision system which enables computers to understand the physical world in all of its cluttered glory. Robots and computer vision systems are slowly making their way out of the factory and into less structured environments such as hospitals, warehouses, farms, and homes. Although recent advances are quite impressive, these systems are still limited in their ability to understand what they see and must be carefully programmed to get the bare minimum of information out of their sensory data in order to accomplish their assigned tasks. Their goal at CapSen Robotics is to change this—they have developed a suite of computer vision solutions based on new research from MIT on 3D object detection in cluttered scenes. This is a foundational technology that will have broad impact on a wide range of consumer, industrial, and defense markets, from computer gaming and augmented reality to logistics, manufacturing, and robotics. They are beta testing with system integrators like The Proud Company and robotics companies like IAM Robotics on robotic picking applications, and are partnering with a top 5 government contractor on a non-robotic warehouse application for a large Fortune 100 distributor. One of the robots using their object detection software at MIT recently took part in a robotic order fulfillment competition sponsored by Amazon and took 2nd place out of 31 teams.

Agot is an all-in-one computer vision platform, purpose-built for the QSR industry. The suite of solutions are designed to solve the biggest pain points by digitizing restaurants activities and translating those observations into real-time team interactions and impactful analytics.

RoadBotics empowers governments and communities to make objective, data-driven decisions about their public infrastructure assets. We automate image mapping and road assessments, generating interactive maps, unbiased ratings, and practical tools to save time and taxpayer dollars for hundreds of communities across the country and around the world.

Create the industry standard technological platform that turns any camera enabled smart device into a smoke detector without the need for calibration or additional hardware.

Agot is an all-in-one computer vision platform, purpose-built for the QSR industry. The suite of solutions are designed to solve the biggest pain points by digitizing restaurants activities and translating those observations into real-time team interactions and impactful analytics.

RoadBotics empowers governments and communities to make objective, data-driven decisions about their public infrastructure assets. We automate image mapping and road assessments, generating interactive maps, unbiased ratings, and practical tools to save time and taxpayer dollars for hundreds of communities across the country and around the world.

From the shelves of a warehouse to your kitchen sink, the real world is full of clutter. At CapSen Robotics, their goal is to provide a universal 3D computer vision system which enables computers to understand the physical world in all of its cluttered glory. Robots and computer vision systems are slowly making their way out of the factory and into less structured environments such as hospitals, warehouses, farms, and homes. Although recent advances are quite impressive, these systems are still limited in their ability to understand what they see and must be carefully programmed to get the bare minimum of information out of their sensory data in order to accomplish their assigned tasks. Their goal at CapSen Robotics is to change this—they have developed a suite of computer vision solutions based on new research from MIT on 3D object detection in cluttered scenes. This is a foundational technology that will have broad impact on a wide range of consumer, industrial, and defense markets, from computer gaming and augmented reality to logistics, manufacturing, and robotics. They are beta testing with system integrators like The Proud Company and robotics companies like IAM Robotics on robotic picking applications, and are partnering with a top 5 government contractor on a non-robotic warehouse application for a large Fortune 100 distributor. One of the robots using their object detection software at MIT recently took part in a robotic order fulfillment competition sponsored by Amazon and took 2nd place out of 31 teams.

RoadBotics empowers governments and communities to make objective, data-driven decisions about their public infrastructure assets. We automate image mapping and road assessments, generating interactive maps, unbiased ratings, and practical tools to save time and taxpayer dollars for hundreds of communities across the country and around the world.

From the shelves of a warehouse to your kitchen sink, the real world is full of clutter. At CapSen Robotics, their goal is to provide a universal 3D computer vision system which enables computers to understand the physical world in all of its cluttered glory. Robots and computer vision systems are slowly making their way out of the factory and into less structured environments such as hospitals, warehouses, farms, and homes. Although recent advances are quite impressive, these systems are still limited in their ability to understand what they see and must be carefully programmed to get the bare minimum of information out of their sensory data in order to accomplish their assigned tasks. Their goal at CapSen Robotics is to change this—they have developed a suite of computer vision solutions based on new research from MIT on 3D object detection in cluttered scenes. This is a foundational technology that will have broad impact on a wide range of consumer, industrial, and defense markets, from computer gaming and augmented reality to logistics, manufacturing, and robotics. They are beta testing with system integrators like The Proud Company and robotics companies like IAM Robotics on robotic picking applications, and are partnering with a top 5 government contractor on a non-robotic warehouse application for a large Fortune 100 distributor. One of the robots using their object detection software at MIT recently took part in a robotic order fulfillment competition sponsored by Amazon and took 2nd place out of 31 teams.