Technical content is more than documentation. It’s a critical business asset. Accurate, up-to-date service manuals, operator guides, and interactive content directly influence product uptime, safety, and customer satisfaction. As products become smarter and more complex, traditional tools used to manage documentation (like Word or InDesign) can’t keep up with the speed and data integration demands of modern engineering. That’s where PTC Arbortext comes in.

As one of the leading platforms for structured authoring and publishing, Arbortext connects your technical content directly to engineering and product data, ensuring every manual and part catalog stays in sync with the product itself. But how do you decide if Arbortext is the right fit for your organization? Below, we explore the most common questions decision-makers ask when evaluating Arbortext and how it delivers measurable business value.

Questions Around Business Value

What are the cost savings or productivity gains companies see when using Arbortext?

Organizations adopting Arbortext typically see dramatic reductions in content creation time, translation cost, and update cycles. By creating reusable, modular content, authors avoid rewriting the same information across multiple manuals or configurations. One change automatically updates every publication that references that content. This reuse can cut authoring time by up to 40% and translation costs by as much as 30%. When paired with PLM integration, Arbortext eliminates costly manual rework caused by misalignment between engineering and documentation, ultimately improving service efficiency and reducing downtime in the field.

How do you measure return on investment (ROI) when deploying Arbortext?

ROI from Arbortext often comes from both hard and soft savings. Hard savings include measurable reductions in publishing time, translation volume, and content maintenance costs. Soft savings come from better user experience, faster product launches, and improved compliance through documentation accuracy. Many companies calculate ROI by tracking key metrics such as content reuse percentage, average update turnaround time, and error reduction rates. Within the first 12 – 18 months, organizations that standardize their technical publications on Arbortext often see clear, quantifiable payback from increased efficiency and reduced errors.

What are the licensing models for Arbortext and how much does it cost?

PTC offers flexible licensing options for Arbortext, designed to fit the needs of individual authors, small teams, or enterprise-scale organizations. Licenses can be purchased as subscription-based (the most common model today) or as perpetual with annual maintenance. Pricing depends on factors such as the number of users, deployment type (standalone or integrated with Windchill), and the level of functionality, whether you need only authoring or full publishing automation. While costs vary, most organizations find that Arbortext pays for itself through reduced translation spend, faster time-to-market, and lower documentation overhead.

Workflow, Implementation, and Differentiation Questions

How steep is the learning curve for Arbortext for technical authors?

For authors new to structured authoring, there is an initial learning curve, primarily in understanding XML-based workflows and modular content organization. However, Arbortext was designed for non-developers, offering a familiar, WYSIWYG-style interface that hides the technical XML coding beneath the surface. With proper onboarding, most writers become comfortable creating and managing structured content within a few weeks. Organizations that invest in training and standard templates see rapid adoption and improved authoring consistency across teams.

How is Arbortext different from simpler tools like Word, FrameMaker, or other authoring systems?

Unlike traditional desktop publishing tools such as Word or Adobe FrameMaker, Arbortext is purpose-built for structured, reusable content that scales across complex product lines and global audiences. Standard tools focus on document layout, whereas Arbortext focuses on data-driven content architecture. This allows you to author once and publish everywhere. It enforces content standards, automates formatting through stylesheets, and integrates directly with engineering systems like PTC Creo and Windchill. This ensures every update in CAD or PLM automatically flows into the documentation, maintaining alignment between engineering and service content without manual rework.

What are the deployment options for Arbortext (on-prem, cloud, hybrid)?

Arbortext supports on-premises, cloud, and hybrid deployments, offering flexibility for organizations with varying IT strategies or regulatory requirements. Many companies still prefer on-premises setups to maintain direct control over their content repositories and security, especially in aerospace, defense, and energy sectors. However, cloud deployments are increasingly popular for distributed authoring teams and global content collaboration, particularly when integrated with PTC’s Windchill cloud platform. Hybrid environments are also common. This allows secure local control while leveraging cloud-based collaboration or translation tools.

Technical and Integration Questions

What document standards (e.g., DITA, S1000D) does Arbortext support?

Arbortext supports a wide range of industry standards, including XML, DITA, and S1000D, ensuring compliance and interoperability across documentation ecosystems. For defense, aerospace, and heavy equipment manufacturers, S1000D compatibility is critical to meeting customer and government requirements. The software also accommodates custom schemas, giving companies flexibility to create tailored XML structures aligned with their internal processes. This standards-based approach guarantees that Arbortext content remains future-proof and easily shareable with suppliers, partners, and downstream systems.

How does Arbortext manage versioning, change propagation, and linkage back to engineering data (CAD/BOM)?

When integrated with PTC Windchill, Arbortext becomes part of a closed-loop digital thread that ties technical documentation directly to product data. Each document component is version-controlled, with automated workflows that notify authors when an upstream engineering change occurs. Arbortext can dynamically update references to CAD models, parts lists, or specifications, ensuring manuals and service data reflect the latest approved configurations. This reduces the risk of out-of-date instructions, mismatched revisions, and compliance gaps in regulated environments.

Can Arbortext generate or manage interactive illustrations or multimedia content alongside text?

Yes, Arbortext integrates with PTC Creo Illustrate and other illustration tools to include 2D, 3D, and animated visual content directly within publications. This capability allows service manuals and training documents to include interactive graphics that technicians can rotate, zoom, or animate, improving comprehension and task accuracy. When paired with PTC’s Vuforia AR technology, Arbortext content can even be transformed into augmented-reality experiences for service and training applications. This ability to combine text, imagery, and interactivity makes Arbortext a critical tool for companies aiming to modernize technical communication and deliver next-generation digital experiences.

Why Arbortext is a Strategic Investment for Modern Manufacturers

Choosing the right technical publication system isn’t just about creating documents. It’s about building a connected, data-driven communication ecosystem that enhances product quality, service efficiency, and compliance. PTC Arbortext offers a single-source solution that unites engineering data with technical content, enabling teams to automate publishing, reduce errors, and accelerate updates across multiple channels and languages.

For decision-makers, the case for Arbortext is both practical and strategic. It minimizes documentation overhead while improving product lifecycle alignment and service accuracy. When deployed with partners like EAC Product Development Solutions, organizations gain access to deep implementation expertise, training, and long-term support that ensure their Arbortext environment continues to evolve with their business needs.

If your organization is ready to modernize its technical publications and create a foundation for digital service excellence, Arbortext is the solution built to get you there. Talk to an expert to see how this tool can bring improvement to your process.

Artificial intelligence (AI) is transforming how products are designed, manufactured, and serviced. From predictive maintenance to generative design and digital twins, AI has the power to accelerate decision-making and unlock entirely new business models.

But here’s the reality: without a strong data foundation, AI initiatives stall or fail. Studies show that most AI projects fail to deliver value because they rely on incomplete, inconsistent, or siloed data. For manufacturers, the source of truth for this data is Product Lifecycle Management (PLM).

PLM provides the foundation that ensures product data is accurate, contextualized, and accessible across the enterprise. In this blog, we’ll outline a practical readiness checklist for executives, explore the ROI of aligning PLM with AI initiatives, and share how leaders can turn readiness into competitive advantage.

The Strategic Imperative: Linking PLM to AI

Think of PLM as the digital backbone of your organization. It manages product information across the lifecycle—from concept and engineering to manufacturing, quality, and service.

AI, meanwhile, acts as the accelerator—turning that data into predictive insights, optimization opportunities, and smarter innovations. But AI is only as effective as the data it consumes. Without PLM ensuring integrity, context, and governance, even the most sophisticated algorithms produce unreliable results.

For executives, the takeaway is simple: success with AI isn’t about choosing the right algorithm. It’s about ensuring your product data is trustworthy, structured, and accessible. PLM makes that possible.

The Executive AI Readiness Checklist

To help leaders prepare, here’s a practical playbook for assessing readiness. Use these six checkpoints to evaluate whether your PLM can truly support AI-driven transformation.

1. Data Centralization

Ask yourself: Do we have a single source of truth for product data across engineering, manufacturing, and service?
If data lives in spreadsheets, departmental silos, or disconnected systems, AI will struggle to deliver value. PLM centralizes this information, ensuring every team operates from the same baseline.

2. Data Quality & Governance

AI depends on accuracy. Without strong governance—standards, version control, and access policies—data integrity is compromised. PLM enforces these rules, giving executives confidence that AI models are trained on reliable, compliant data.

3. Cross-Functional Alignment

AI is not an IT initiative or an engineering experiment—it’s an enterprise-wide transformation. Success requires alignment between engineering, IT, operations, and business leadership. Position PLM not as an engineering tool, but as a strategic enabler of business outcomes.

4. Integration & Ecosystem Readiness

AI thrives on connected ecosystems. Can your PLM integrate with IoT platforms, ERP, MES, and CRM systems? Are your data pipelines designed for scalability? Executives must ensure their PLM is not an isolated system but a central hub connected across the digital thread.

5. Talent & Culture

Technology is only half the equation. Do your teams have the skills to work with AI? Are employees data-literate and open to AI-driven workflows? Building a culture of adoption—where engineering collaborates with IT and data science—is critical to long-term success.

6. Compliance & Risk Management

Finally, consider regulatory, cybersecurity, and ethical implications. AI introduces risks around transparency, bias, and data security. PLM provides the governance framework to ensure compliance and traceability—protecting both your business and your customers.

By assessing these six dimensions, executives can identify gaps and create a roadmap that ensures PLM is ready to power AI initiatives effectively.

The ROI of Preparing PLM for AI

For executives, the question is always: What’s the business impact? Aligning PLM with AI initiatives creates measurable returns that go far beyond cost savings.

Simply put, PLM-readiness is not just an IT investment—it’s a growth strategy.

Executive Next Steps: Building the Roadmap

Preparing your PLM for AI doesn’t require an all-or-nothing approach. Executives can start small and scale over time.

By approaching readiness as a strategic initiative rather than a technical project, executives can future-proof their AI investments while demonstrating clear ROI.

Turning Readiness Into Advantage

AI is redefining competitiveness in product industries—but only for organizations that have the right foundation. PLM provides that foundation by centralizing, contextualizing, and governing product data across the lifecycle.

Executives who align their PLM strategy with AI readiness unlock faster innovation, reduced costs, and stronger market positions. The time to act is now. See where your own product data stands with our Business Assessment. We’ll help you identify gaps, inefficiencies, and readiness for digital transformation.

Gain a clear view of how structured PLM can set the stage for scalable AI success.

In today’s fast-moving product development landscape, companies can’t afford inefficiencies, disconnected processes, or compliance risks. That’s where Product Lifecycle Management (PLM) software comes in. PLM gives organizations a central platform to manage design, engineering, manufacturing, and service data across the product lifecycle.

Two of the most widely adopted PLM platforms on the market are PTC’s Windchill and Siemens’ Teamcenter. Both solutions offer enterprise-grade functionality, but their architectures, usability, and performance differ in ways that significantly impact long-term value.

If you’re comparing Windchill vs Teamcenter and wondering which is the best fit for your organization, this blog provides an objective, side-by-side look at usability, stability, integration, compliance, industry fit, and overall digital transformation readiness.

Windchill vs Teamcenter: Company & Product Overview

Windchill has earned its reputation as a modern, secure, and open PLM system. PTC has invested heavily in creating a true end-to-end digital thread, connecting engineering data to manufacturing, service, and even field operations. With native cloud capabilities, DoD IL5 accreditation, and seamless integrations with tools like Ansys and SAP, Windchill is designed to help organizations innovate faster and scale with confidence.

Teamcenter is Siemens’ flagship PLM platform and part of a very large software portfolio that also includes NX CAD, Simcenter, and Tecnomatix. Siemens markets Teamcenter as a broad solution that covers multiple industries and processes. However, its reliance on legacy technology, heavy customizations, and complex module structure often make implementation and maintenance challenging.

Let’s compare these two systems by user experience, system performance, implementation and administration, security and compliance, integration, digital transformation, and pricing.

User Experience

When evaluating any enterprise software, ease of use plays a huge role in user adoption and long-term success. A PLM system that frustrates engineers or requires heavy training often creates resistance and slows down ROI.

If you want a platform that’s easy for teams to adopt and scale, Windchill provides a smoother user experience.

System Performance

Performance and reliability are critical in product development environments where large assemblies and complex BOMs are the norm. A PLM platform needs to deliver stability under pressure to avoid bottlenecks that delay projects and increase costs.

For organizations managing large-scale data or complex products, Windchill is the more reliable choice.

Implementation & Administration

The true cost of a PLM system isn’t just in the license. It’s in how much time and effort it takes to deploy, upgrade, and manage. A platform that is simpler to implement and administer can significantly reduce IT overhead and accelerate time-to-value.

Organizations looking for lower total cost of ownership and less IT burden will benefit from Windchill’s modern architecture.

Security & Compliance

For industries working with sensitive data, from aerospace to medical devices, compliance and data protection aren’t optional — they’re mandatory. The security posture of a PLM solution often determines whether it can even be considered in highly regulated environments.

If security and compliance are critical, Windchill is unmatched in the PLM market.

Integration

No PLM solution exists in a vacuum. To unlock real value, the platform must integrate seamlessly with CAD, ERP, simulation, and service management tools, supporting a truly connected enterprise ecosystem.

For enterprises looking to future-proof their digital ecosystems, Windchill’s openness provides more flexibility.

Digital Transformation

The concept of the digital thread has become a cornerstone of digital transformation initiatives. It refers to the ability to connect data across the entire lifecycle, ensuring traceability, collaboration, and faster innovation.

For organizations serious about digital transformation, Windchill delivers a more connected and future-ready digital thread.

Pricing & Licensing

Cost is always a consideration in enterprise software decisions, but pricing models can be just as important as the raw numbers. A flexible, transparent licensing strategy can make the difference between a scalable long-term solution and escalating costs that strain budgets.

When evaluating Windchill vs Teamcenter pricing, Windchill is typically more transparent and sustainable over time.

How does PTC Windchill compare to Siemens Teamcenter? 

When comparing PTC Windchill to Siemens Teamcenter, both deliver enterprise class PLM capabilities but take different approaches to usability, integration and complexity. Windchill offers a streamlined, modern web architecture with strong multi-CAD support and a focus on enabling the digital thread across engineering, manufacturing and service.  Teamcenter brings deep, mature functionality and tight integration within the Siemens software ecosystem, especially for complex design/manufacturing scenarios, but can be more complex to deploy and maintain. Ultimately the right fit depends on your organization’s existing technology landscape, CAD/Multi-CAD needs, and whether you prioritize speed of adoption and agility (Windchill) or depth of manufacturing process support within a single vendor ecosystem (Teamcenter). 

Use Cases

Not all PLM solutions perform equally across industries. Different verticals have unique requirements, from compliance-heavy aerospace programs to fast-paced electronics manufacturing, making it important to match the platform’s strengths with the industry’s demands.

Next Steps

At the end of the day, selecting a PLM system comes down to balancing usability, stability, compliance, and long-term value. The right choice will empower your teams, streamline your operations, and set your organization up for digital transformation success.

When comparing Windchill vs Teamcenter, both platforms offer strong PLM capabilities, but the differences are clear:

Teamcenter’s large portfolio and attractive UI may appeal at first glance, but its complexity, instability, and high administrative overhead can quickly erode value. If your organization is evaluating PLM solutions, Windchill stands out as the modern, secure, and future-ready choice.

At EAC, we work alongside manufacturers to fix the broken parts of product development by connecting systems, people, and processes. We help organizations implement and optimize Windchill so teams gain clarity, control, and confidence across the entire product lifecycle. We also share practical resources that help engineering and product leaders evaluate their options and make informed decisions.

Find out why manufacturers choose Windchill over other PLM systems in our guide.

Executives across industries are pouring resources into artificial intelligence (AI), hoping to transform product development, manufacturing, and service. Yet, despite the hype, most of these projects never deliver on their promise. In fact, studies consistently report that up to 80% of AI projects fail to generate business value.

Why? It isn’t usually the algorithm’s fault. The root cause is something far more fundamental: data. Specifically, the lack of clean, structured, and contextualized product data.

Think of AI as the brain. Powerful, capable, and adaptive. But a brain can only act on the signals it receives. That’s where Product Lifecycle Management (PLM) comes in. PLM is the nervous system—the structured network that captures, organizes, and feeds reliable information into AI systems. Without it, AI in manufacturing and product development is built on shaky ground.

The Promise of AI in Product Development

Business leaders have high expectations for AI. From the boardroom to the shop floor, the vision is consistent:

In manufacturing, the potential of AI is especially compelling. Predictive maintenance can reduce downtime by up to 30%. AI-driven scheduling can maximize throughput without additional capital expense. Digital twins (virtual replicas of products and systems) can help engineers anticipate performance issues long before physical prototypes are built.

The promise is real. But the path is filled with risk. Too often, organizations chase these outcomes without first addressing the foundation: their product data.

Why AI Fails Without PLM

Despite big investments, many AI initiatives stall or collapse because the underlying data is incomplete, inconsistent, or scattered across silos. Consider a simple example:

A customer support chatbot designed to answer product questions. If the bot’s knowledge base only contains marketing descriptions but not the latest engineering specifications, it will inevitably give wrong answers. Or imagine training a predictive maintenance algorithm on machine data that isn’t tied back to specific product configurations. The results will be unreliable at best—and misleading at worst.

AI without PLM is like trying to build a skyscraper on sand. No matter how strong your construction materials, the foundation won’t hold.

The problem lies in how product information is typically stored. Engineering drawings live in CAD tools. Bills of materials are locked in ERP systems. Manufacturing instructions sit in MES. Service records and technical publications often exist in entirely separate repositories. AI systems fed on these fragmented, unstructured datasets can’t produce accurate insights.

Worse, without a structured digital thread connecting data across the product lifecycle, there’s no way to maintain traceability. In regulated industries—like aerospace, automotive, or medical devices—this isn’t just inefficient. It’s a compliance risk.

PLM: the Backbone of AI Readiness

This is where PLM for AI comes into play. A modern PLM platform does more than manage CAD files. It serves as the single source of truth for all product-related information, spanning:

By centralizing this data, PLM creates a structured, contextualized foundation that AI can trust. Every piece of information is tied to its source, version-controlled, and connected across the product lifecycle.

In practice, PLM acts as the digital backbone that feeds AI systems:

The result? Instead of acting on fragmented inputs, AI systems gain access to accurate, contextualized product data. This allows companies to realize the true potential of AI in manufacturing—whether that’s predictive maintenance, smarter design automation, or faster regulatory approvals.

Roadmap to Success

Preparing your organization for AI isn’t about jumping into the latest algorithm. It’s about laying the right PLM foundation. Here’s a practical roadmap for executives:

With this roadmap, quick wins become possible:

These examples show that AI’s promise in manufacturing isn’t futuristic—it’s happening now. But only for companies that take PLM seriously.

If You’re Serious About AI, Start With PLM

AI has the power to revolutionize product development and manufacturing. But the statistics don’t lie: most AI projects fail to deliver value. The missing link isn’t more advanced algorithms—it’s structured, reliable product data.

PLM provides that foundation. By serving as the single source of truth and enabling a connected digital thread, PLM ensures your AI initiatives are built on solid ground.

If your organization is serious about AI, it’s time to assess your PLM maturity. Start by cleaning up product data, connecting systems, and enabling traceability. Not sure where to start? See where your own product data stands with our Business Assessment. We’ll help you identify gaps, inefficiencies, and readiness for digital transformation.

Today’s product development landscape is more complex than ever. Whether in automotive, medical devices, aerospace, or other safety-critical industries, organizations are under constant pressure to innovate quickly while maintaining compliance with strict regulations. The success of any project hinges on one critical foundation: how well teams manage, track, and communicate requirements across the entire product lifecycle.

Without clear visibility and coordination, companies risk delays, compliance failures, and costly rework. This is where modern tools like Codebeamer step in to help organizations achieve clarity, accountability, and speed.

Why Requirements Management Is Non-Negotiable

Requirements management is the process of capturing, organizing, reviewing, and validating all the needs and expectations of stakeholders. It ensures that what companies design, build, and test truly aligns with the original intent.

When teams handle requirements poorly – scattered across documents, spreadsheets, or siloed tools – projects are far more likely to veer off track. Misinterpretations grow, defects slip through, and compliance audits become nightmares. On the other hand, a disciplined RM approach improves quality, reduces risk, and ensures every team member is working toward the same goals.

Understanding Gapless Traceability

Traceability is the ability to connect each requirement to downstream design, implementation, test, and validation artifacts. In regulated industries, traceability isn’t just a best practice – it’s often a mandatory compliance requirement.

The problem is that many organizations still struggle with gaps in their traceability chain. When requirements, test cases, and results are not seamlessly connected, it becomes difficult to prove compliance, find the root cause of defects, or ensure that nothing has been overlooked.

Codebeamer addresses this by offering end-to-end traceability. From the first requirement to the final release, teams can link, track, and report on every item – making it easy to identify missing links and keep the development lifecycle watertight.

The Role of Collaboration in Modern Development

Product development involves multiple stakeholders: engineers, business analysts, QA teams, project managers, and compliance officers. Each group brings unique expertise, but collaboration often breaks down when they work in isolated systems. Siloed communication leads to misunderstandings, duplication of effort, and slower decision-making.

Codebeamer fosters seamless collaboration by consolidating all requirements, risks, tests, and workflows into a single platform. Teams can work together in real-time with shared visibility, ensuring nothing gets lost in email threads or versioned documents. This transparency helps organizations reduce friction and stay aligned throughout the entire lifecycle.

Codebeamer: The Unified ALM Platform

Codebeamer is more than just a requirements management tool—it’s a comprehensive Application Lifecycle Management (ALM) platform. Designed to support both traditional and Agile processes, Codebeamer brings everything under one roof:

By combining these capabilities, Codebeamer helps teams eliminate tool fragmentation, reduce compliance headaches, and speed up innovation cycles.

Benefits in Practice

Bringing these capabilities together in a single platform isn’t just theory—it delivers real-world advantages. Here’s how companies using Codebeamer are transforming their development processes and achieving better outcomes. Companies using Codebeamer report several tangible benefits, including:

Ultimately, Codebeamer gives organizations the confidence that their products are being developed right—the first time.

What Decision-Makers Want to Know About Codebeamer

When considering an ALM (Application Lifecycle Management) solution like Codebeamer, engineering leaders need clear answers on how it enables traceability, change-control, collaboration and regulatory readiness. The questions below reflect the typical concerns—how will it track end-to-end product development? Will it support audits and multi-discipline engineering? What benefits can regulated industries expect? The following answers provide direct, four-sentence responses to those key decision-points.

How does Codebeamer enable end-to-end traceability in product development?

Codebeamer offers a centralized repository that links requirements, tasks, test cases and implementation artifacts across the full lifecycle—from concept through release—ensuring nothing slips through the cracks. Its Traceability Browser visualizes dependencies upstream and downstream, making it easy to follow how a requirement affects design, testing and delivery. Integrations via OSLC allow Codebeamer to share trace links with PLM systems like Windchill, bridging software, hardware and system data for comprehensive traceability.

How does Codebeamer help teams manage change control, versioning, and configuration of requirements and tests?

Codebeamer supports configurable workflows for change requests, versioning of artefacts, and configuration management of requirements, design items and test assets, enabling disciplined change control. Each change is captured, versioned, and linked to affected items—so the impact of modifications is visible and reviewable. Version-controlled baselines guard against unauthorized edits and facilitate rollbacks or audits if needed. This structured approach reduces risk and ensures that teams can manage evolving product requirements and tests with full governance.

Can Codebeamer support audits and provide evidence for regulatory reviews?

Codebeamer is designed with regulated industries in mind and includes audit-ready features such as secure e-signatures, version histories, change logs and built-in reports aligned to standards like ISO 13485, ISO 26262 and FDA 21 CFR Part 11. Users can generate traceability reports showing each requirement’s lifecycle from inception to verification and release, simplifying compliance efforts. Pre-configured templates and workflows tailored to regulated domains dramatically reduce the time and effort needed for audit preparation.

How does Codebeamer improve collaboration between software, hardware, and systems engineering teams?

Codebeamer provides a unified platform that covers requirements, risk, test, change and configuration management for software, hardware and systems engineering, eliminating silos between disciplines. Its web-based interface enables stakeholders in different functions and geographies to view, comment on and act upon artifacts in real time, with role-based access ensuring secure collaboration. Integration with tools like Jira, GitHub or PLM platforms means data flows seamlessly across teams, reducing manual hand-offs and misalignment.

What are the benefits of using Codebeamer for regulated industries like medical devices, automotive, aerospace, or industrial automation?

For regulated industries, Codebeamer delivers high-value benefits: complete traceability needed for certification, built-in risk-management for safety-critical systems, configurable workflows for compliance standards, and audit-ready reports that cut documentation burdens. Its templates and industry-specific processes (ISO 26262, DO-178C, FDA MDR) help organizations meet mandatory requirements without reinventing the wheel. The platform also supports faster time-to-market by lowering the overhead of change control, testing and verification tied to regulation.

Building Better Products with Confidence

In today’s competitive and highly regulated environment, companies cannot afford weak requirements management, broken traceability, or siloed collaboration. These gaps lead directly to costly rework, compliance risks, and slower time-to-market.

By combining robust requirements management, gapless traceability, and seamless collaboration, Codebeamer empowers organizations to build better, safer products faster—while maintaining compliance every step of the way.

If your organization is looking to improve efficiency and eliminate risk in product development, it’s time to explore what Codebeamer can do.

Minneapolis, MN – EAC Product Development Solutions (EAC), a leading provider of digital engineering and additive manufacturing solutions, today announced a strategic reseller partnership with AMT Post Processing Solutions (AMT), a global leader in automated post- processing technology for additive manufacturing. Through this collaboration, EAC will now offer AMT’s PostPro SFX product line, providing customers with industry-leading finishing solutions designed to accelerate additive manufacturing adoption across aerospace, defense, medical, and industrial markets.

The partnership marks an exciting milestone for both organizations. By working together, EAC and AMT aim to deliver best-in-class post-processing solutions to current and future customers, ensuring that additive manufacturing parts meet the highest standards of quality, repeatability, and compliance.

“As companies across industries continue to scale their additive manufacturing operations, post-processing has become one of the most significant challenges to achieving production readiness,” said Lauren Adey, Director of Additive Manufacturing at EAC. “Partnering with AMT
allows us to deliver cutting-edge solutions like the PostPro SFX, enabling our customers to streamline their workflows, reduce costs, and bring high-quality parts to market faster.”

The PostPro SFX system represents the next generation of sustainable post-processing technology. Built with precision and scalability in mind, it offers users the ability to smooth and finish polymer parts with unprecedented consistency. The system is particularly well-suited for aerospace and defense applications, where lightweight, high-performance parts must withstand demanding environments and comply with rigorous standards.

This partnership underscores EAC’s commitment to helping organizations maximize the value of their additive manufacturing investments. By integrating AMT’s post-processing technology into its solutions portfolio, EAC will provide customers with an end-to-end additive manufacturing experience—from design to print to finished part.

For more information about the EAC and AMT partnership, or to learn more about the PostPro SFX product line, please visit the listing at www.eacadditive.com or www.amtechnologies.com.