Perfect Parts explains how it has deployed AI and ML on both large and small data samples and obtained zero defects post-generation and audit.
Perfect Parts Corporation prides itself on being more than an average parts supplier. The company sources and tests everything from raw materials to chemicals, copper, electronic components and more. Many manufacturers are struggling to find pure materials and often receive contaminated batches. With China owning 80 per cent of mines globally, it is important to have a partner that can source, test and ensure zero-defect products.
With a ten-year track record of zero non- conformities, Perfect Parts has become a leading global source for materials and top choice for ODMs, OEMs and OCMs. The company has mapped close to four hundred thousand mines globally. This software was created to help manufacturers find raw materials with higher purity levels. High purity levels are critical in making sure critical applications use only the best and purest materials to ensure compliance with aerospace level requirements. Raw material and end application conformity often depend on the reliability of each of the systems, sub- systems, components, raw material authenticity, processes and material purity. Critical applications require the type of raw material and the purity of those resources when trying to reproduce old end-of-life or obsolete components or new products with advanced packaging or the next best process to create the best components in the world.
Perfect Parts can help with generating part data and simulation for data modeling in CAD software. By modeling the components, systems, sub-systems and end-to- end systems, engineers could potentially, in theory, model a B-52 end-to-end in CAD. With the company’s unique and accurate data being used, it bridges gaps in digital twin technology from concept to modeling to production. Perfect Parts has AI and ML that use SM and LM data samples needed to test ML processes on a large scale for part data generation for LLMs, accuracy, simulation and modeling. Only then can sourcing, testing, logistics support and standards management be done. Perfect Parts’ teams can generate data accurately across sources and millions of datasheets in real-time.
The digital twin technology, which encompasses modeling, sourcing, testing and design, holds enormous potential to advance programs and projects for those who adopt and master this technology as the foundational steps for appropriate AI and ML advancement and quite possibly the basis of what is utilized as the foundation of AI and ML learning for new AI chip logic. We have successfully deployed AI and ML on both large and small data samples and obtained zero defects post-generation and audit to accurately address the simulation and part generation.