CUBRC is a machine learning research, development, testing and systems integration company. PPT has sought to team with the firm to enhance its post-printing technologies and better enable their implementation within factory floors of the future.
Automat3D and Connect3D use data science to reduce manual steps and guesswork and advance performance during the support removal and surface finishing of 3D printed components. Heartwood Analytics has been developed from technologies from CUBRC’s Data science and Information Fusion (DSIF) Group through a decade of R&D. It combines disparate data sources in real-time to provide data alignment, processing, deduplication and ingestion. It also performs predictive analysis, optimisation and rule-based alerting.
PPT’s post-processing technologies can supplement all 3D print materials and processes and have been designed to help fulfil the potential implementation of additive manufacturing can offer. This partnerships, the two parties believe, is an extension of that ambition.
“We are very excited about bringing CUBRC’s advanced machine learning capability to PostProcess to accelerate the groundbreaking work that the team at PostProcess have done,” Dr. John Coles, CUBRC’s project lead, commented. “Our efforts in developing a class of technologies that turn massive amounts of data into actionable information for decision makers is a perfect fit for PostProcess’ applications and mission.”
“PostProcess was founded on software as the first component of our solution,” added Daniel Hutchinson, founder and CTO of PostProcess. “We’ve known since the beginning that data analytics was an essential part of doing data science at scale. That’s why we’ve chosen CUBRC for its experience and expertise in data extraction, alignment, analysis, and systems optimisation technologies to enhance and expedite our post-printing software platforms.”