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Philadelphia-based Authentise and Addiguru (Metairie, LA) are combining their talents and experience in a collaboration that will integrate in-process monitoring into additive manufacturing workflow with the extension of their Authentise Manufacturing Execution System (AMES).
Combining artificial intelligence with workflow software, the result is real-time action, enhanced by the ability to create custom alerts, dashboards, and reports. The two companies expect their new product to offer a more streamlined experience for users engaged in industrial use for making functional parts via AM systems.
Addiguru algorithms are responsible for offering notifications through both the web interface and the app, alerting users to any possible problems by specifically highlighting alerts within the workflow, presenting full, real-time traceability. Images and analyses for each machine and build are documented:
“This includes the ability to overlay detected anomalies with sensor data taken from Authentise’s unique access to machine data,” states the Addiguru team in a recent press release.
“Existing in-process monitoring tools either require the user to have spent days setting up trial prints or to click through every image to detect potential flaws. The combination of our AI-driven insight and Authentise’s workflow tools enables the user to gain practical benefit in a system …
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