Describes new AI-powered geometric deep learning technology.
ANN ARBOR, Michigan, USA 26 March 2020—CIMdata, Inc., the leading global PLM strategic management consulting and research firm, announces the release of a white paper focused on Physna, the new AI-powered geometric deep learning technology that uses proprietary algorithms to codify 3D models into detailed data that is understandable by software applications and powers 3D geometric search.
Physna seeks to bridge the gap between the digital world and the physical world in product development. The Physna solution aids in the identification of parts that may violate an organization’s intellectual property (IP). It can be used to find previously designed items in a company’s database, allowing them to be re-used in more product designs. This allows the company to gain more value from their investment and reduce design, analysis, testing, regulatory compliance, and other costs associated with developing a new products. In addition, with Physna companies can eliminate duplicate parts having different part numbers in multiple products thereby allowing parts consolidation, decreased inventory, and improved purchasing power.
Dr. Ken Versprille, CIMdata Executive Consultant, noted “The injection of AI-powered technology into parts search opens far ranging possibilities for companies to better understand their inventory of design models and dramatically reduce the time designers spend looking for information.”
The CIMdata white paper on how Physna Promotes 3D Model Search and Discovery is available at: https://physna.com/resources/ and at: www.CIMdata.com.
