Authentise, a leader in data-driven engineering & manufacturing workflow tools, released Guidelines, a major new rules engine that puts operators back at the heart of digital manufacturing. Guidelines is a new set of features accessible to users of aMES, Authentise’s end-to-end, connected workflow engine for additive manufacturing. It enables users to formulate if-this-then-that rules that […]
Authentise acquires Elements to deliver data-driven flexibility across manufacturing
Authentise, a leader in data-driven workflow tools for additive manufacturing, announced the acquisition of all assets of Elements Technology Platform, a provider of self-serve workflow tools for manufacturing. As part of the transaction, Elements’ team will join Authentise. The partnership enables discrete manufacturers everywhere to access connected workflow management solutions used by the world’s leading […]
Integrating sensor-data from depowdering into end-to-end workflow
Authentise, a leader in data-driven workflow tools for additive manufacturing, and Solukon, a developer of automated depowdering systems for metal and polymer additive manufacturing, agreed to integrate the Solukon Digital Factory Tool into the advanced Manufacturing Execution System (aMES). The removal of powder from 3D printed components, is a central step in postprocessing in additive […]
Authentise and Riven combine forces to simplify and scale end-use part production
Authentise, a leader in data-driven workflow tools for additive manufacturing, and Riven, involved in 3D reality intelligence for digital manufacturing, are announcing the integration of the Riven 3D reality platform with the Authentise Manufacturing Execution System (aMES). Through the integration, scan data from Riven’s sensors will be automatically inserted into the traceability report of the […]
Combining data capture and visualization for better part data
Authentise, a leader in data-driven workflow tools for additive manufacturing, and nebumind, a provider of visualization and analytics tools for manufacturing data, announce the integration of nebumind’s tools into the Authentise Manufacturing Execution System (AMES). nebumind produces ‘digital twin’ visualizations, which fuse machine parameters and sensor data with the original part geometry. The integration of […]
Authentise releases Digital Material Powder Tracking
Authentise, a leader in data-driven workflow tools for additive manufacturing, released a feature update to simplify the digital tracking of material powders for additive manufacturing. Material Management enables customers such as Boeing to track all actions associated with the material, such as sieving, blending, testing or printing, to enable a full digital thread of the […]
Authentise to integrate its workflow management system into Microsoft Flow
Authentise, a leader in data-driven workflow tools for additive manufacturing, has agreed to a multi-year collaboration with Microsoft to use Microsoft Azure and integrate Authentise’s workflow management system into Microsoft Flow. The integration with Flow, which goes live this week on the Microsoft Flow Gallery, gives operators directly involved in additive manufacturing quoting, production and […]
Mobile app helps additive operators track entire additive processing
Authentise, a leader in data-driven workflow tools for additive manufacturing, released a mobile web application for its users. The app uses scans of QR codes implanted on travelers to help operators move parts through manual post processing stages such as powder or support removal, inspection, testing and more. This makes it easy for operators to […]
Authentise and Prosper3D partner to develop better quoting solutions
Authentise, a developer of data-driven workflow tools for additive manufacturing, announced a partnership with Prosper3D, a provider of accurate quoting solutions for AM service bureaus. This partnership will give Authentise customers more choice in tools to manage their workflow. As part of the agreement, Authentise customers will be able to access the Prosper3D quoting engines […]