
CogniSensus
CogniSensus builds technologies that allow better sensing, data modelling, visualization and/or actuation.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Spinout | ||
Total Funding | 000k |
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CogniSensus is a spin-off company from the Institute of Communication and Computer Systems (ICCS) in Greece, leveraging intellectual property from years of research by the I-SENSE group. The company specializes in building technologies for enhanced sensing, data modeling, visualization, and actuation to support operations and decision-making in complex environments. One of its key founders appears to be Dr. Angelos Amditis, the Research and Development Director at ICCS and the founder of the I-SENSE Research group. Dr. Amditis has an extensive background in Electrical and Computer Engineering, has participated in over 150 R&D projects, and holds leadership positions in various European technology and transportation organizations, including ERTICO-ITS Europe and ITS Hellas.
CogniSensus focuses on the smart manufacturing and Industry 5.0 sector by developing and integrating customized industrial sorting systems. These systems are designed to automate and streamline material handling and sorting, particularly for plastics, mining materials, and textiles. The technology combines sensors, conveyors, and automated controls to sort items based on characteristics like size, weight, and shape, aiming to improve efficiency, accuracy, and worker safety for its clients. The company's business model centers on creating these custom solutions for industries such as e-commerce, logistics, and chemical processing.
The firm's technological foundation is built on research in areas like Hyperspectral Imaging (HSI), X-Rays, applied AI/ML, Robotics, and Extended Reality (XR). This allows CogniSensus to offer solutions that address complex operational challenges, positioning itself at the intersection of advanced academic research and practical industrial application.
Keywords: industrial sorting, smart manufacturing, sensing technology, data modeling, material handling, Industry 5.0, applied AI, robotics, custom automation, process optimization