Data-Driven Workflow Management
Scale your additive manufacturing operations through smart use of the digital thread with the Authentise Manufacturing Execution System.
Capture insight, reduce costs and increase reliability with industry-leading connectivity and flexibility.
Get all the tools you need to grow your AM operation to production-scale.
Leverage an uninterrupted digital thread to make your production pipeline transparent, reliable and performant.
Scale your AM operations efficiently and reliably
The perfect MES platform
to blaze through your orders
By digitizing your operations, your team will benefit from thorough automation, KPI analytics and all it needs to increase ROI.
Always keep your customers and operators up to date on production status, while maximising part throughput.
Deep, Automated Data Capture
Real-time reporting & insight from machine data to feed future performance.
Authentise connects to more machines than anybody else for automated status updates, machine learning for estimates and more. Our AI algorithms help address practical, present-day production roadblocks and lay the ground work for future efficiencies.
Smart features to help you leverage production data
Tools designed to let you know, and do, everything effortlessly.
Never miss a beat in production with tools designed to automate manual tasks, while maintaining operational awareness. We work closely with AM trend-setters to solve present-day production roadblocks and lay the ground work for future possibilities.
Seamless scalability thanks to world-leading openness
Empower your workflow with open software integrations with your existing tools and novel algorithms. Guarantee scalability with the largest (and growing) list of machine integrations.
Meet the rapid growth of the AM industry with an agile, production-ready MES platform.
"Authentise convinced everybody: the shop floor loved the mobile app and time savings, our IT guys loved the openness and I am happy to know that all our data is being captured and instantly available.
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