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Synera and PanOptimization collaborate to boost advanced metal Additive Manufacturing simulation with AI-powered automation

New integration of PanX into Synera’s Marketplace enables autonomous optimization of complex AM designs to dramatically reduce build failures and time-to-production

March 27, 2025

Bremen

Metal additive manufacturing engineers struggle to predict build failures for complex parts due to lengthy simulation times and high compute demands. Workflow inefficiencies, including disjointed software tools and repetitive manual tasks, further degrade productivity throughout the build preparation process. Today, Synera and PanOptimization announce a collaboration that combines PanX's revolutionary multi-grid simulation capabilities with Synera's intelligent automation platform – enabling engineers to predict build outcomes faster and more precisely while eliminating tedious manual work.

Powerful Simulation Technology fromPanOptimization
PanOptimization's thermo-mechanical Finite Element solver PanX optimizes print outcomes, resulting in increased part quality and throughput as well as decreased lost time, resources, and money resulting from failed builds.  PanX utilizes a novel and unique Multi-GridModeling approach that dramatically improves accuracy, scalability and runtime for both LPBF and DED process simulations. The solver can analyze extremely complex geometries that would be impossible to mesh (let alone solve) using traditional FE approaches, while requiring significantly less computational resources – many simulations can be run on a typical engineering laptop.

Agentic Engineering with Synera
The Synera automation platform enables engineering organizations to digitalize and execute product development processes at multiple complexity levels – from simple tasks to complex AM end-to-end workflows. The platform's easy-to-use visual editor allows engineers to effortlessly set up automations that integrate and connect expert solutions like PanX. With Synera’s latest addition of fully-fledged engineering AI agents that autonomously use these workflows around the clock, organizations can supplement human teams and scale their engineering operations at minimum additional cost.

Automated end-to-end AM workflows

The initial PanX connector for Synera will provide comprehensive capabilities:

  • Running PanX simulations directly from Synera
  • Using and modifying existing analysis templates
  • Importing, processing and visualizing simulation results
  • Performing automated distortion compensation

This will enable users to create end-to-end optimization workflows for metal additive manufacturing, reducing the risk of part distortion and recoater blade interference for complex components during the printing process. Combined with other additive manufacturing solutions in the Synera marketplace, users can manage the complete AM workflow from design to production thanks to connections to other tools like Hexagon’s AM Studio and Emendate, EOSPrint from EOS, Intact.Simulation from Intact Solutions, AdditiveDesign Toolkit from Fraunhofer IAPT, CDS’s Cognitive Design, and more.

Driving Industrial Adoption of AMTogether
Both companies see this collaboration as a direct response to additive manufacturing engineers' needs for more efficient, automated simulation capabilities. The connection between PanX and Synera's platform represents a continuation of trends in the AM industry towards more collaboration to bring the industry forward.

"Our customers are already transforming their engineering operations with Synera by removing repetitive work that all engineers dread and enabling companies to standardize and digitize their processes. Adding PanOptimization's powerful simulation capabilities enables our users to create comprehensive AM workflows that predict and prevent build failures, allowing AI agents to autonomously optimize complex designs with less human intervention." - Andrew Sartorelli, Partner& Product Management Lead at Synera

This focus on practical automation and customer needs aligns perfectly with PanOptimization's vision for their technology:

"In developing PanX we have taken an expansive view on simulation’s role in AM, moving beyond just distortion prediction and into applications including process parameter optimization and topology optimization for manufacturability Collaborating with Synera allows us to connect this capability directly to where engineers need it - as part of automated workflows that can run continuously without manual intervention. Together, we're making advanced simulation accessible and practical for everyday manufacturing.”- Erik Denlinger, Ph.D., Co-Founder and Chief Operating Officer at PanOptimization

The PanX connector will be available in the Synera marketplace in April 2025, with early access available to select customers beginning in March.

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About Synera

Synera develops the AI Agent Platform for Engineering. Trusted by OEMs and Tier 1 Suppliers, including Global Fortune 500 manufacturers and their affiliates, like BMW, Airbus, and NASA, Synera’s AI agents accelerate product development by up to 10× - reducing complexity and controlling costs.

By integrating directly with CAx tools, the platform empowers customers to build and deploy AI agents to operate as engineering experts within those applications - to supplement engineering teams and autonomously address product development tasks without delays.  

Founded in 2018 in Bremen, Germany, by Dr. Moritz Maier, Sebastian Möller-Lafore, and Daniel Siegel, Synera has since expanded its presence to Boston, MA, Synera has built a robust partner ecosystem that includes more than 70 CAx tool integrations with leading providers such as Altair, Autodesk, Hexagon, PTC, and Siemens. The company also collaborates with vehicle technology specialists like ARRK and EDAG, as well as global consulting leaders including Accenture and Capgemini.  

Guided by the vision to give every engineer the freedom and power to shape the future, Synera’s agentic AI solutions work side by side with engineers, leveraging over 100,000 workflows to scale engineering capacity exponentially without corresponding cost growth.

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