In a world where model reuse can drive measurable efficiencies, there’s usually one thing in the way — 3D objects and parts aren’t inherently searchable. Metadata, tags, and other classifications only get you so far. Physna helps you find what you are looking for based on unique object geometry and proposed classifications, so you can organize your 3D data sets for more efficient, time-saving object searches and find compatible components for more expedient, more precise development. Finding what you need, when you need it, is just the beginning of unlocking the power of your 3D data.
See FeaturesEveryday, someone in the manufacturing world is asked to work with a part that lacks any identifiable data, resulting in staggering inefficiencies, lost productivity, and impact on profitability. Physna’s ability to instantly identify geometric difference gives your team the power to compare a scanned image against a 3D model or identify a part with a simple photo, online and in real-time. This capability not only empowers your teams to do their jobs more effectively, but also collects quality control data in real-time to greatly improve output and measurable operational efficiencies for your business.
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Physna’s algorithm is customized and calibrated to your data, continuously building transferable domain expertise and actionable intelligence - powerful machine learning that predicts part classification, materials, cost, performance and more. Physna knows where and how each part is used, allowing you to instantly compare parts, identify components and alternatives. And all of this happens between different file formats - with or without metadata or file hierarchy. This is how Physna delivers an unparalleled competitive advantage to our customers.
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