SOLIDWORKS Design vs Onshape: Which CAD Platform Is Right for Your Team?

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SOLIDWORKS Design vs Onshape: Which CAD Platform Is Right for Your Team?

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Choosing a CAD platform is a bigger decision than just comparing modeling tools.

Today, engineering teams need to think about collaboration, data management, cloud connectivity, licensing flexibility, training requirements, and even AI-powered productivity tools. Whether you’re replacing an older CAD system, evaluating cloud CAD for the first time, or planning for future growth, the platform you choose will impact your workflow for years.

Two of the most common options being evaluated today are SOLIDWORKS Design and Onshape.

Both are professional CAD solutions that support parametric modeling and offer cloud connected workflows. But they are built around very different philosophies.

Let’s break down the differences.

Quick Answer: SOLIDWORKS Design or Onshape?

If your team wants a mature, industry-standard CAD platform with powerful desktop performance, extensive engineering tools, flexible licensing options, and access to the broader 3DEXPERIENCE ecosystem, SOLIDWORKS Design is typically the stronger choice.

If your priority is a browser only CAD environment with simplified deployment and built-in cloud collaboration, Onshape may be worth considering.

The right answer depends on your team’s workflows, product complexity, and long-term goals.

What Is SOLIDWORKS Design?

SOLIDWORKS Design is the latest evolution of the SOLIDWORKS portfolio.

It combines the CAD environment engineers have trusted for decades with modern cloud services, collaboration tools, revision management, and AI-powered capabilities through the 3DEXPERIENCE platform.

Today, organizations can choose between multiple deployment approaches:

SOLIDWORKS Design Single-User License

A named-user license connected directly to cloud services and the 3DEXPERIENCE platform.

Benefits include:

  • Access from multiple devices

  • Built-in cloud collaboration

  • Cloud file and revision management

  • Continuous updates

  • AI-enabled cloud services and tools

SOLIDWORKS Design Device License

A machine-based license designed for organizations that prefer traditional deployment methods.

Benefits include:

  • Local installation control

  • Machine-based activation

  • Multi-user workstation environments

  • Optional cloud connectivity

  • Support for controlled IT deployment strategies

Both licensing options provide access to Cloud Services and future expansion into the broader 3DEXPERIENCE ecosystem.

Comparison of SOLIDWORKS Design and Onshape interfaces to help teams choose the right CAD platform.SOLIDWORKS CAD Modeling Environment

What Is Onshape?

Onshape is a fully browser based CAD platform.

Unlike traditional desktop CAD, there is no local installation. Users access their CAD environment through a web browser, and all data is stored in the cloud.

Because the platform is cloud-native, Onshape provides:

  • Real time collaboration

  • Built-in version history

  • Browser based access

  • Automatic updates

  • Simplified IT deployment

This makes it attractive for distributed teams, startups, educational institutions, and organizations looking to avoid workstation management.

Side-by-side comparison of SOLIDWORKS and Onshape highlighting key features for engineering teams.

Onshape CAD Modeling Environment

SOLIDWORKS Design vs Onshape: The Biggest Differences

Modeling Experience

Both platforms use modern parametric modeling workflows.

However, SOLIDWORKS Design still offers a more mature and feature rich modeling environment for many engineering use cases.

Areas where SOLIDWORKS continues to excel include:

  • Large assemblies

  • Weldments

  • Routing

  • Drawings and detailing

  • Manufacturing documentation

  • Simulation integration

  • CAM integration

  • Advanced surfacing workflows

For many engineers, SOLIDWORKS remains the benchmark for production ready mechanical design.

Onshape delivers a modern modeling experience and continues to evolve rapidly, but some organizations transitioning from mature desktop CAD environments may find certain advanced workflows less developed.

Performance

This is where deployment philosophy matters.

SOLIDWORKS Design

Most CAD calculations happen locally on workstation hardware.

Advantages:

  • Excellent performance on complex assemblies

  • Direct access to GPU resources

  • Better support for demanding engineering workloads

  • Less dependence on internet speed during modeling

Onshape

All modeling calculations occur on cloud infrastructure.

Advantages:

  • Lower workstation requirements

  • Easy access from almost any device

  • Consistent performance across users

For engineering teams working on large products, machinery, manufacturing equipment, or highly detailed assemblies, local workstation performance still offers significant advantages.

Data Management

Historically, data management was a major differentiator.

Today, the gap is much smaller.

Onshape

Includes cloud-based data management by default.

Users benefit from:

  • Version history

  • Branching workflows

  • Built-in collaboration

  • Cloud storage

SOLIDWORKS Design

Includes Cloud Services and can scale directly into the 3DEXPERIENCE platform.

Organizations can start with:

  • Share and Markup

  • Store and Revise

  • Collaborative Spaces

  • Cloud revision management

And later expand into:

  • Product lifecycle management (PLM)

  • Change actions

  • Governance workflows

  • Enterprise collaboration

This creates a growth path from basic collaboration all the way to enterprise level product development.

What About SOLIDWORKS xDesign?

This is an important distinction that often gets overlooked.

When comparing browser-based CAD, the most direct comparison is often SOLIDWORKS xDesign versus Onshape, not SOLIDWORKS Design versus Onshape.

SOLIDWORKS xDesign is Dassault Systèmes’ cloud-native design solution, running entirely in a web browser with no local installation required. It combines modeling, collaboration, lifecycle management, and cloud storage directly within the 3DEXPERIENCE platform.

Overview of SOLIDWORKS Design and Onshape showing differences in workflow and collaboration features.

SOLIDWORKS xDesign Modeling Environment

For organizations that like the flexibility of browser-based CAD but want to stay within the SOLIDWORKS ecosystem, xDesign is often worth evaluating alongside Onshape.

Many companies ultimately adopt a hybrid strategy:

  • SOLIDWORKS Design for advanced mechanical design

  • SOLIDWORKS xDesign for cloud-native collaboration and conceptual work

  • 3DEXPERIENCE for data management and lifecycle control

AI Features: SOLIDWORKS vs Onshape

AI is becoming part of every CAD discussion, but it’s important to separate practical tools from marketing buzzwords.

Neither platform has a “design my product” button.

Instead, both focus on productivity improvements.

AI in Onshape

Onshape currently offers AI Advisor, an AI-powered assistant designed to answer questions and guide users through workflows using Onshape documentation and training resources as its knowledge base.

AI Advisor can:

  • Answer workflow questions

  • Recommend best practices

  • Surface documentation

  • Provide troubleshooting guidance

  • Deliver contextual assistance inside the platform

Importantly, Onshape states that AI Advisor does not currently generate designs or make engineering decisions.

Visual comparison of SOLIDWORKS Design and Onshape focused on team collaboration and cloud capabilities.

Onshape AI Advisor

AI in SOLIDWORKS

SOLIDWORKS has been expanding its AI roadmap aggressively through both desktop and cloud-connected tools.

Recent AI capabilities include:

  • Auto-Generate Drawings

  • Command Predictor

  • Fastener Recognition

  • Assembly Performance Evaluator

  • Material Appearance Manager

  • BREP-to-Parametric CAD conversion

  • Design Change Impact analysis

  • PLM Model Insights

  • AURA AI Assistant

Rather than acting as a documentation assistant, many of these tools directly interact with engineering workflows and CAD data.

The goal isn’t replacing engineers. It’s reducing repetitive work, accelerating documentation, improving performance, and helping teams make decisions faster.

Illustration comparing SOLIDWORKS Design and Onshape to help determine the best CAD solution for design teams.

SOLIDWORKS AI Lab

Which Platform Is Better for Growing Companies?

This is often the most important question.

For startups prioritizing fast deployment and simple browser access, Onshape can be an attractive option.

For companies expecting growth, increasing product complexity, manufacturing integration, simulation requirements, or future PLM adoption, SOLIDWORKS Design often provides a more scalable path.

One of the biggest advantages of the SOLIDWORKS ecosystem is that organizations don’t need to commit to everything on day one.

You can start with:

  • SOLIDWORKS Design

  • Cloud Services

  • Basic collaboration

Then gradually expand into:

  • PDM

  • PLM

  • Simulation

  • Manufacturing

  • Electrical

  • Cloud-native design

  • AI-driven workflows

Without changing CAD platforms.

Why work with Solidxperts?

Choosing software is only part of the project.

Implementation, training, data management strategy, and user adoption are often what determine whether a deployment succeeds.

At Solidxperts, we work with organizations every day that are evaluating:

  • SOLIDWORKS Design

  • SOLIDWORKS xDesign

  • Cloud Services

  • 3DEXPERIENCE

  • PDM and PLM solutions

  • CAD migration projects

Whether you’re moving from another CAD platform, modernizing your data management strategy, or exploring AI-enabled workflows, our team can help you build a roadmap that fits your reality not just a software brochure.

The goal isn’t simply choosing a CAD tool.

It’s building a design environment that will still make sense five years from now.

Looking to go further?


Michael Habrich

3DEXPERIENCE Specialist

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Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

    SWOOD 2026: Key New Features to Discover

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    SWOOD 2026: Key New Features to Discover

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    SWOOD 2026: Design with more freedom, automate further, and produce faster

    The wood and furniture manufacturing industry is evolving quickly. Manufacturers are under constant pressure to shorten lead times, increase product personalization, overcome the shortage of skilled labor, and improve profitability. In this context, digital tools play an increasingly strategic role.

    With SWOOD 2026, EFICAD continues its vision of an integrated digital chain where design, manufacturing, and data management work together to accelerate processes while reducing manual interventions.

    This new release brings significant improvements across the entire SWOOD suite: SWOOD Design, SWOOD CAM, SWOOD Nesting, and SWOOD Center. More than just an update, SWOOD 2026 directly addresses the current challenges faced by manufacturers in the woodworking, cabinetry, commercial furniture, and bespoke fit-out sectors.

    Today’s challenges in wood manufacturing

    Before diving into what’s new, it’s important to understand the issues companies face today:

    • Growing demand for customized products

    • Reduced delivery lead times

    • Difficulty recruiting and training specialized resources

    • Increasing complexity of architectural projects

    • Need to integrate ERP, MES, and CNC equipment

    • Ongoing pursuit of greater productivity

    The new features in SWOOD 2026 were developed specifically to address these realities.

    SWOOD Design 2026: more freedom for complex projects

    Manufacturers of bespoke furniture know that atypical projects often pose the greatest design challenges. SWOOD Design 2026 introduces several improvements that make it easier to create customized products without increasing model complexity.

    1. SWOOD Box supports non-rectangular geometries

    Traditionally, standard furniture relies on simple, rectangular geometries. However, modern projects often require more complex shapes:

    • Under-stair furniture

    • Vehicle fit-outs

    • Built-ins under sloped ceilings

    • Custom architectural installations

    Thanks to the new Point parameter in SWOOD Box, you can now position and intelligently constrain components according to non conventional geometries.

    Benefits

    • Fewer specialized configurations

    • More flexible libraries

    • Better reuse of existing models

    • Faster development of parametric catalogs

    Overview of new features in SWOOD 2026 for woodworking design and manufacturing

    2. Free Machining in SWOOD Box

    Manufacturing rarely follows rules perfectly aligned with a model’s standard CAD planes. With the new Free Machining feature, machining operations can now be defined according to the actual orientation of a sketch.

    This improvement enables:

    • Better consistency between design and manufacturing

    • Simplified handling of angled panels

    • Reduced manual adjustments in CAM

    3. Multilingual libraries

    For companies working with multiple plants, subsidiaries, or international partners, library management can quickly become complex. SWOOD 2026 now allows SWOOD Box parameters to be displayed in multiple languages.

    Outcome

    • Simpler rollout of corporate standards

    • Improved collaboration across international teams

    • Fewer misunderstandings

    Key highlights of SWOOD 2026 updates for CAD and woodworking workflows

    SWOOD CAM 2026: automation reaches a new level

    For many manufacturers, the bottleneck is no longer design but the preparation of CNC programs. SWOOD CAM 2026 introduces features that significantly reduce manual interventions.

    1. CAM Filters: one of the most important new features in SWOOD 2026

    The new CAM Filters allow you to automatically assign machining strategies based on different criteria:

    • Materials

    • Geometry

    • Machines

    • SOLIDWORKS properties

    • Manufacturing properties

    • Post-processors

    Why it matters

    Rather than creating specific rules for every situation, manufacturers can develop reusable and scalable manufacturing logic.

    The benefits are immediate:

    • Reduced programming time

    • Standardized machining methods

    • Lower risk of errors

    Updated user interface and improvements introduced in SWOOD 2026

    2. Relationships between CAM operations

    Another major improvement concerns communication between machining operations. Operations can now automatically share already-identified geometries.

    For example:

    • A drilling operation can pass references to a secondary operation

    • A groove can be automatically recognized by other strategies

    • Specialized connectors can be processed more efficiently

    Direct impact

    • More robust automation

    • Less duplication of rules

    • Simplified maintenance of CAM libraries

    New cabinet design tools and features available in SWOOD 2026

    3. New 3D machining strategies

    Manufacturers producing complex parts will also benefit from new toolpath strategies:

    • 3D roughing

    • Projected finishing

    • Spiral

    • Alternating spiral

    • Circular zig-zag

    • Cavity machining

    Outcome

    • Better surface finish quality

    • Optimized machining times

    • More efficient use of modern CNC machines

    CNC machining improvements and automation features in SWOOD 2026

    SWOOD Nesting 2026: more control over panel optimization

    With material costs remaining high, panel optimization is essential. SWOOD Nesting 2026 delivers greater stability in the handling of nests.

    1. Nesting Lock

    Users can now lock an optimization result to prevent accidental modification.

    Advantages

    • Protection of validated decisions

    • Greater control over the production process

    • Lower risk of unintentional reorganization

    Enhanced woodworking workflow and productivity tools in SWOOD 2026

    2. Nesting Freeze

    This feature goes even further. CAM edits and adjustments made after optimization can be retained even when the project is updated.

    Benefits

    • Simplified revision management

    • Protection of work already completed

    • Fewer unnecessary reworks

    Automation features in SWOOD 2026 designed to improve design efficiency

    3. Smart nesting updates

    Manufacturers rarely work on frozen projects. With SWOOD 2026, nesting assemblies can be reopened and updated while preserving previous adjustments.

    This improvement is especially useful for:

    • Evolving projects

    • Commercial furniture

    • Make-to-order environments

    Updated material libraries and components included in SWOOD 2026

    SWOOD Center 2026: connecting engineering to the shop floor

    The value of a modern manufacturing solution also depends on its ability to communicate with other enterprise systems. SWOOD Center continues this mission with several important additions.

    1. PTX export for panel saws

    SWOOD now supports PTX formats 1.14 and 1.21. This improvement makes it easier to integrate with many production machines used in the industry.

    Outcome

    • Less manual data entry

    • Lower risk of errors

    • Smoother data flow between systems

    Performance upgrades and faster processing in SWOOD 2026 software

    2. Batch document generation

    Users can now automatically generate:

    • Drawings

    • Reports

    • Panel lists

    • Hardware lists

    • Production documents

    Impact

    • Significant time savings

    • Standardized documentation

    • Higher team productivity

    Enhanced 3D wood modeling capabilities introduced in SWOOD 2026

    3. Enterprise integration automation

    SWOOD Center can now automatically launch external applications from generated reports. This capability opens the door to advanced integrations with:

    • ERP

    • MES

    • Planning tools

    • Custom internal systems

    New assembly tools for woodworking projects in SWOOD 2026

    The vision behind SWOOD 2026

    Looking across all the new features, a clear trend emerges. SWOOD is no longer just aiming to speed up design or CNC programming. The platform now strives to create complete digital continuity between engineering and production.

    This strategy rests on four pillars:

    1. Design without constraints

    The new SWOOD Box capabilities let you tackle increasingly complex projects without multiplying models and configurations.

    2. Automate further

    CAM Filters and inter-operation relationships reduce reliance on individual know-how and foster standardization.

    3. Optimize materials

    The new SWOOD Nesting functions protect completed work while simplifying revision management.

    4. Connect systems

    New features in SWOOD Center strengthen integration between engineering software, ERPs, and production equipment.

    Why consider upgrading to SWOOD 2026?

    For companies already using SWOOD, this release is a major opportunity to increase their level of automation. For manufacturers currently evaluating their digital processes, SWOOD 2026 clearly demonstrates that it is possible to:

    • Reduce preparation time

    • Standardize manufacturing methods

    • Simplify management of complex projects

    • Maximize material usage

    • Improve cross-department integration

    In a context where every minute saved and every avoided error has a direct impact on profitability, the new features in SWOOD 2026 offer concrete tools to improve overall business performance.

    Explore SWOOD 2026 with SOLIDXPERTS

    Want to assess the impact of SWOOD 2026 on your design and manufacturing processes? The SOLIDXPERTS team can help you:

    • Analyze your current methods

    • Identify automation opportunities

    • Demonstrate SWOOD 2026’s new features

    • Develop a deployment strategy tailored to your manufacturing reality

    Contact our SWOOD specialists today to discover how SWOOD 2026 can accelerate your digital transformation and increase your production efficiency.


    Alain

    Alain Provost

    Senior Technical Sales Executive

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    Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

      FAQ: AI at the Core of SOLIDWORKS and 3DEXPERIENCE

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      FAQ: AI at the Core of SOLIDWORKS and 3DEXPERIENCE

      What is AI in SOLIDWORKS?

      At its core, SOLIDWORKS AI refers to a set of intelligent capabilities that assist engineers by automating repetitive tasks, providing design guidance, and enabling workflow orchestration through built-in features and Virtual Companions that can be interacted with using natural language.

      What AI features are currently available in SOLIDWORKS?

      Currently, available capabilities include automated drawing generation, general design assistance through an interactive chat interface, command prediction, sketch analysis and repair, fastener recognition, and many additional features that are being rapidly developed and expanded.

      Learn more about what’s available in SOLIDWORKS AI.

      Stay up to date with the latest SOLIDWORKS Design features.

      What is the difference between built-in AI features and Virtual Companions in SOLIDWORKS?

      On one hand, built-in AI refers to machine learning-based capabilities that enhance existing design workflows. On the other hand, Virtual Companions are AI assistants that can be engaged using natural language to access knowledge and perform specific tasks. Both built-in AI features and Virtual Companions are available directly within the SOLIDWORKS Design user interface.

      What are the roles of the new Virtual Companions?

      Unlike generic conversational agents, our companions embody AI at the heart of engineering, grounded in physics and causality.

      Name

      Specialty

      Example Application (E-Foil Wing)

      AURA

      Knowledge and Context

      Balances requirements for strength, lightweight construction, and water resistance (for example, choosing between carbon fiber and fiberglass).

      LEO

      Engineering Reasoning

      Optimizes the strength-to-weight ratio using carbon composites, specifically unidirectional carbon fiber with epoxy resin for stiffness and fatigue resistance.

      MARIE

      Materials Science

      Analyzes critical factors such as density (1.6 g/cm³), elastic modulus, and resistance to water-induced degradation.

      How do these entities collaborate to optimize a project?

      Innovation emerges from the combination of multiple perspectives. AURA explores the range of possibilities, MARIE grounds the project in rigorous materials science, and LEO ensures mechanical and manufacturing feasibility. Together, they help identify the optimal technical solution without compromising safety or manufacturability.

      Why is the move to the Cloud essential for these new AI capabilities?

      Knowledge extraction, deep data mining, and the execution of complex AI models require significant computing power. Cloud infrastructure is the only practical way to provide these resources flexibly and cost-effectively to organizations of all sizes.

      Does SOLIDWORKS AI use customer data for training?

      No. Customer data is not used to train AI models. Governance controls ensure the protection of intellectual property. You can learn more by visiting the 3DS Trust Center.

      Can AI automatically create drawings?

      Yes. SOLIDWORKS Design includes the ability to automatically generate 2D drawings by interacting with Virtual Companions using natural language. Drawings can be created according to specified standards, templates, and dimensioning schemes, helping accelerate the documentation process.

      Can AI automate repetitive CAD tasks?

      Yes. SOLIDWORKS AI automates repetitive engineering tasks such as drawing creation and assembly structure generation. Additional capabilities will continue to be introduced in future releases.

      How does SOLIDWORKS AI protect intellectual property?

      SOLIDWORKS AI ensures that customer intellectual property remains isolated and secure. Learn more about the specific security protocols by visiting the 3DS Trust Center.

      How do I get started with AI in SOLIDWORKS?

      Start by exploring the built-in AI capabilities and current Virtual Companion features available through the AI Lab task pane directly within SOLIDWORKS Design. Access to Virtual Companions requires Cloud Services to be enabled, which are included with every SOLIDWORKS Design license.

      Can AI automatically fix CAD models?

      AI can identify issues, explain errors, and suggest corrections. However, engineers remain responsible for reviewing and approving any modifications.

      Will AI replace CAD designers and engineers?

      No. AI helps automate repetitive tasks and uncover valuable insights, but engineers remain responsible for design intent, validation, and decision-making.

      Want to Learn More?

      Discover more tips and tutorials on our YouTube channel.

      Explore best practices with our experts.

      Or contact our team, we’re here to help you get the most out of your platform.


      Benoit Bilodeau

      Senior Solutions Architect

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      Que vous soyez prêt à commencer ou que vous ayez quelques questions supplémentaires, vous pouvez nous contacter sans frais :

        3DDrive vs. 3DSpace: What’s the Difference?

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        3DDrive vs. 3DSpace: What’s the Difference?

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        The 3DEXPERIENCE platform includes a powerful set of tools designed to support collaborative product development. Two of the most commonly used apps for storing and managing files are 3DDrive and 3DSpace.

        At first glance, they can look similar, but they’re built for very different purposes. Understanding how each one is meant to be used will help your team work more efficiently and avoid confusion down the road.

        What Is 3DDrive?

        Think of 3DDrive as the 3DEXPERIENCE equivalent of tools like Dropbox or OneDrive.

        3DDrive allows you to:

        • Store and access files from anywhere

        • Edit and collaborate on documents in real time

        • Share files easily, including with external users

        • Integrate with other cloud storage services

        You’ll find 3DDrive under My Apps in the 3DEXPERIENCE platform, and it’s also accessible directly inside SOLIDWORKS.

        3DDrive interface in the 3DEXPERIENCE platform for cloud file sharing and management

        3DDrive uses a familiar folder based structure and focuses on flexibility and convenience. It’s a great choice for:

        • General file sharing

        • Early-stage collaboration

        • Working with customers, suppliers, or partners outside your organization

        What it doesn’t include is built-in product data management there’s no revision control, lifecycle states, or formal approval process.

        3DDrive interface in the 3DEXPERIENCE platform for cloud file sharing and management

        What Is 3DSpace?

        3DSpace is built for teams that need structure, control, and traceability.

        3DSpace interface in the 3DEXPERIENCE platform for product data management and revision control

        Instead of simple folders, 3DSpace is organized around Collaborative Spaces, where teams work together on shared project data. Within 3DSpace, you can:

        • Control access and permissions

        • Track revisions and history

        • Assign maturity states like In Work and Released

        • Lock files to prevent conflicting edits

        These capabilities make 3DSpace a strong foundation for PLM-driven workflows, including:

        • Engineering change processes

        • Approval workflows

        • Long-term product data management

        3DSpace is ideal for engineering teams that need confidence in version control and data integrity.

        3DSpace interface in the 3DEXPERIENCE platform for product data management and revision control

        3DDrive vs. 3DSpace: Which Should You Use?

        The short answer: it depends on how you work.

        • 3DDrive is best when:

          • You need fast, flexible file sharing

          • You collaborate frequently with external users

          • You want a familiar, lightweight cloud storage experience

        • 3DSpace is best when:

          • You need controlled access and revision tracking

          • Your team is ready for PLM-style workflows

          • Data accuracy, traceability, and approvals matter

        The good news is that both apps integrate directly with SOLIDWORKS, so you can access the right tool without leaving your design environment.

        Comparison between 3DDrive and 3DSpace in 3DEXPERIENCE showing file sharing and product data management

        Final Thoughts

        3DDrive and 3DSpace aren’t competing tools. They’re complementary. Many teams start with 3DDrive for simple collaboration and gradually introduce 3DSpace as their data management needs grow.

        Not sure which approach makes the most sense for your team? That’s where we come in.


        Michael Habrich

        3DEXPERIENCE Specialist

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        Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

          How SOLIDWORKS AI Is Being Positioned by Manish Kumar

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          How SOLIDWORKS AI Is Being Positioned by Manish Kumar

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          The Future of Work: Shifting from Automation to Value Creation

          In the age of AI, I am often asked: What is the true nature of “value”? For engineers, the pressure to reduce costs and optimize workflows is constant. Historically, we turned to simple task automation. Today, AI is shifting the focus from merely speeding up repetitive tasks to amplifying human ingenuity.

          Redefining Value in Engineering

          What is the real value of an engineer? It isn’t clicking a mouse to create a sketch; it is problem-solving and innovation.

          Consider a visit to the doctor. Is a doctor’s value found in typing notes into a chart, or in the focused diagnosis and long-term health planning they provide? Today, many doctors use specialized AI companions to handle transcription, allowing them to give patients their undivided attention.

          Similarly, an engineer’s value lies in ideation and rapidly converting concepts into virtual twins for experimentation. The manual steps—the clicks to create geometry—are a means to an end. While some fear AI will take away the “enjoyable” parts of CAD, we must ask: do you enjoy the manual execution, or the creative breakthrough? Automating the “busy work” of drawing creation lets us return to the reason we became engineers in the first place: creative problem-solving.

          The Human Role in an AI-Driven Future

          A common concern is that AI will replace human oversight. I strongly disagree. When designing a turbine blade or an aircraft engine, human validation is critical—lives depend on it.

          AI acts as a multiplier, not a replacement. If an engineer produces one design today, AI might help them produce ten tomorrow. This actually increases human responsibility. Engineers must review more outputs, ensure regulatory compliance, and make higher-level decisions. AI expands our capabilities, but it does not originate ideas. Just as AI image generators require a human prompt and refined intent, 3D CAD will always require human direction.

          This is the democratization of design. Thirty years ago, SOLIDWORKS brought CAD to every desktop, democratizing 3D CAD. Today, AI is the next wave of that movement, making 3D modeling accessible so more people can solve massive, complex problems.

          Embracing the Multiplier

          As I said at 3DEXPERIENCE World in February: AI is the engine; you are the driver.

          Professionals should never underestimate their worth. AI is a tool to unlock your potential, and the gap between early adopters and those who resist will only continue to grow. Learning to make AI work for you is the key to staying at the forefront of the innovation revolution.

          So, I ask you: which of your tasks could be delegated to agentic AI, or virtual companions, to help you better showcase your true value? I look forward to hearing from you and seeing what our future holds.

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            Why SOLIDWORKS Is Leading the AI Revolution in CAD

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            Why SOLIDWORKS Is Leading the AI Revolution in CAD

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             SOLIDWORKS and its parent company, Dassault Systems, have been ahead of the competition when it comes to all things AI. SOLIDWORKS started developing AI features, also known as Smart Features, decades ago, giving their software a lead above the competition. While continuing to invest and stay ahead of the pack, all new AI assistants are now directly available within the application, ensuring that integration is seamless.

            Follow along in this blog, because I want to show you all the amazing features SOLIDWORKS has already implemented over the year, along with what is in store for the future. By the end, I will have shown how the recent attempts of our competition’s software do not hold a candle to the advances SOLIDWORKS has already made, let alone what is in store for the future.

            Past Additions of Machine Learning and Artificial Intelligence

            For over a decade, SOLIDWORKS has been continuously adding features that make use of machine learning and artificial intelligence. From features such as Smart Mates or Smart Fasteners to new AI Drawing Creation, SOLIDWORKS has been working to optimize engineer time, and reduce the number of tedious repetitive tasks.

            Excelling in time optimization for years, SOLIDWORKS has continued making tools designed with engineering resources in mind. Tools like Fully Defined Sketch and Selection Accelerators have been available for years, helping make the sketching and selection processes faster. Always improving, SOLIDWORKS took the predictive selection accelerator from the Fillet command, and added it into Chamfers in recent years, making seamless group selection even easier than before in both features.

            Machine Learning and Artificial Intelligence

            Users can go from this underdefined sketch to this fully defined sketch in 3 quick clicks!

            Machine Learning and Artificial Intelligence 2

            There have even been productivity increasing tools in the assembly environment for just as long! Smart Fasteners and Smart Mates have allowed engineers to snap together parts and fill their holes with fasteners for over a decade. Even before the general public heard about AI and chatbots, SOLIDWORKS has been working to implement AI based features to improve the engineering experience.

            Current SOLIDWORKS AI Tool Additions

            In 2026, SOLIDWORKS continues this trend of improving the engineering experience through implementing countless new features in the most recent as well as future updates. Some such features include AI Drawing Creation, AI Assembly Creation, Automatic Fastener Recognition, Command Predictor, and Pattern Assistant, to name a few. With these tools, SOLIDWORKS will become even smarter, and can predict an engineer’s next move; whether that move is dropping a nut into place, or needing to add a pattern of bolts in one swift movement. SOLIDWORKS can now even assist engineers in making sure the most efficient patterning methods are being used, as an efficiency check to young engineers.

            SOLIDWORKS AI Tool Additions

            Tools, like Automatic Fastener Recognition, make use of a database of thousands of fastener files, allowing the SOLIDWORKS AI to determine if a part is a fastener as soon as it is dragged in to your current project. This recognition will allow the system to offer better mate conditions and groupings, for instance pairing a new nut to your existing bolt.

            Additionally, features like AI Drawing Creation and AI Assembly Creation take processes out of the engineers hands and begin these processes in the system background before bringing the engineer in for confirmation. From laying out standard views and annotations, to organizing folder structures in assemblies, SOLIDWORKS continues to assist in simplifying and standardizing these initial steps in creation and documentation.

            SOLIDWORKS AI Tool Additions

            With the use of SOLIDWORKS AI Drawing Creation, a simple conversation with LEO about the desired settings and defaults leads to a drawing created faster than ever before!

            SOLIDWORKS AI Tool Additions

            Addition of AI assistants in SOLIDWORKS

            SOLIDWORKS AI Assistants

            The most recent additions of artificial intelligence to SOLIDWORKS include the three all new AI assistants; AURA, LEO, and MARIE. Each serves a unique role throughout the CAD Design process, as described below.

            AURA is the starting point of any great project, even before you draw your first sketch. AURA holds the ability to leverage knowledge from both web and enterprise sources, making it your one stop shop for rapid confirmation. For questions regarding basic design rules and suggestions, or even searching your company’s knowledge base, AURA can answer it all.

            After the first steps with AURA are completed, LEO takes the reins. LEO can help users effectively solve many complications through the design process, helping validate your design and optimize your processes. Throughout both mechanical design, as well as simulation, LEO can take your prompts to generate assembly structures, as parametric features, run studies, and even help resolve design errors. For both answering questions, and offering solutions, LEO can solve many engineering headaches.

            The last assistant in the lineup is MARIE, your scientific research specialist. With expertise in materials science, chemistry and more, your thorough scientific research can be simplified. With this third member of the SOLIDWORKS AI trifecta, you have an assistant in your corner for every part of the engineering design process.

            Competitors attempts at replication

            Outside of SOLIDWORKS, many competitors have tried their hand in implementing AI for the benefit of users. While many companies have had good feature additions in recent years, it is hard to compare them to the decades of experience and additions seen in SOLIDWORKS. The following sections detail some of these features within the competing software, and shows how SOLIDWORKS has taken the lead in all things AI.

            For starters, Autodesk has invested in AI in Fusion 360. However, you will find no such features in Inventor. Looking into these, features like CAM hole recognition have existed in SOLIDWORKS for some time. The drawing AI tool seems to be in the early stages, having very little interaction or flexibility. Fusion can add relationships and dimensions automatically, much like Fully Define Sketch (something that has existed in SOLIDWORKS for nearly 20 years). The main hurdle that Autodesk will have to overcome is that their files don’t talk to each other, unlike the fully associative files found in SOLIDWORKS, making their AI feature development harder.

            Other competitors like Siemens have three main enhancements, Magnetic Snap, Automated Drawings, and a design copilot, all things that have existed or do now exist in SOLIDWORKS. Lastly, Onshape has a lot of potential due to their cloud-based nature, however the content released as of now is just in the infancy stage.

            The Bottom Line: SOLIDWORKS AI is Changing the Game

            After looking at the history of feature development, as well as a brief look at the competition, you can see that SOLIDWORKS continues to be designed with the engineer in mind. From features that increase productivity by decreasing repetition, to tools that give you a head start in the design process, SOLIDWORKS is a lifesaver. Many competitors’ Artificial Intelligence ambitions are just beginning, so SOLIDWORKS is working hard to maintain the lead they already have, while pushing engineering design technology to the next level. Our SOLIDWORKS Technical Team has been ahead of the pack when it comes to learning and using AI, so please contact us with any questions, and find out what makes us the Solidxperts.


            Alain

            Alain Provost

            Senior Technical Sales Executive

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            Any questions? Need help? Ask one of our experts.

            Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

              Resolving issues with part name display in eDrawings compared to SOLIDWORKS

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              Resolving issues with part name display in eDrawings compared to SOLIDWORKS

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              It is quite common for information shared with the workshop through eDrawings not to appear exactly as expected. In fact, part names may seem incorrect, incomplete, or simply different from what the engineering team sees in SOLIDWORKS.

              As a result, this is a question we are regularly asked: “Why are part names not the same in eDrawings as in the SOLIDWORKS assembly?”

              So, if you use eDrawings as a viewer for shop floor personnel, this article is for you. Let’s take a few minutes to understand why this happens and more importantly, how to fix it in a sustainable way.

              The Typical Context: eDrawings as a Workshop Support Tool

              In many manufacturing companies, eDrawings is used to:

              • View assemblies without a SOLIDWORKS license;

              • Visualize complete machines on the shop floor;

              • Quickly identify parts to manufacture or assemble;

              • Reduce paper drawings.

              It is an excellent tool as long as the displayed information is clear and consistent.

              However, in some cases, workshop users are faced with:

              • Cryptic file names;

              • Internal references that are not meaningful;

              • Part names different from those used by engineering.

              A Key Point to Understand: eDrawings Does Not Interpret, It Displays

              First of all, it is important thing to clarify: eDrawings does not “guess” anything. It simply displays the information coming from SOLIDWORKS, based on the assembly structure, the properties defined on each part, and the export options used. Therefore, if the display does not meet your expectations, it is almost never an eDrawings bug, but rather a source data or configuration issue.

              The Three Most Common Causes

              In practice, three main causes explain this behavior:

              1. The displayed name is the file name, not the business designation

              By default, eDrawings often displays the part file name (.SLDPRT) instead of:

              • The business designation;

              • The part number;

              • The workshop-oriented description.

              Example: PLT_4587_V3.SLDPRT instead of Conveyor support plate – 10 mm steel

              For the shop floor, the added value is… very limited.

              2. Custom properties are not being leveraged

              Additionally, in SOLIDWORKS, you most likely already have:

              • Description

              • Part Number

              • Internal reference

              • Customer name

              But if these properties are not filled in consistently or eDrawings is not configured to display them, they become useless for the workshop.

               

              3. The eDrawings export process is not standardized

              Finally, an export performed quickly, by different users and without a clear procedure often results in:

              • inconsistent displays;

              • different habits from one project to another.

              As a result, the workshop gradually loses confidence in the tool.

              Recommended Best Practice: Think “Workshop” Directly in SOLIDWORKS

              In reality, the solution is not in eDrawings…it starts in SOLIDWORKS.

              Here is a simple and effective approach:

              Use a workshop-oriented property

              For example:

              • Description

              • or Workshop_Description

              This property should be clear, readable and free of unnecessary CAD jargon.

              Standardize how properties are filled in

              Apply the same logic to all parts:

              • same property name

              • same text convention

              • same language

              Ultimately, this is a small effort on the engineering side…but delivers significant gains on the production side.

               

              Structuring the eDrawings Export for the Workshop

              To ensure consistency, the eDrawings export should:

              • always come from an up-to-date assembly;

              • follow a simple, documented procedure;

              • display useful information, not technical noise.

              This is exactly why a short internal procedure is often an excellent idea.

              eDrawings: An Excellent Tool, When Properly Prepared

              eDrawings is neither a design tool nor a PDM system. It is a technical communication tool.

              In other words, like any communication, quality depends on what is sent, not only on the tool itself.

              As a result, when best practices are in place the workshop gains autonomy, the unnecessary questions decrease, and the interpretation errors are reduced.

              From Confusion to Clarity: Making eDrawings Work for the Workshop

              If part names displayed in eDrawings do not match what you expect, know that you are not alone, it is not inevitable, and it is almost never a bug. More often than not, it is an opportunity to review how information is prepared and transferred to the workshop.

              Very often…a few simple adjustments are enough to turn eDrawings into a true production support tool.

              FAQ

              Why do part names in eDrawings differ from those in SOLIDWORKS?

              eDrawings displays information coming from SOLIDWORKS files, typically the file name or custom properties. If these data are not standardized or workshop-oriented, the display may appear inconsistent.

              Is this an eDrawings bug or limitation?

              No. In most cases, the issue lies in how data is structured upstream in SOLIDWORKS, not in eDrawings itself.

              What is the best practice to display clear part names on the shop floor?

              Use a dedicated, readable SOLIDWORKS property such as Description or Workshop_Description, filled consistently across all parts.

              Is a SOLIDWORKS license required on the shop floor?

              No. eDrawings allows assembly viewing without a SOLIDWORKS license, making it a cost-effective solution for workshop use.

              What is the tangible benefit for the company?

              A clear and standardized eDrawings display helps to:

              • reduce interruptions between engineering and production

              • limit interpretation errors

              • improve overall operational efficiency


              Alain

              Alain Provost

              Senior Technical Sales Executive

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              Any questions? Need help? Ask one of our experts.

              Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

                Guide: Getting Started with AI in SOLIDWORKS

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                Guide: Getting Started with AI in SOLIDWORKS

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                Artificial Intelligence is quickly becoming part of everyday engineering workflows, but if you’re a SOLIDWORKS user, the big question is usually:

                “Where do I even start?”

                The good news is that AI in SOLIDWORKS isn’t something separate you need to learn from scratch. It’s already being integrated into the tools you use every day through the 3DEXPERIENCE platform.

                In this guide, we’ll walk through everything you need to get started, step by step:

                • Required software and prerequisites

                • Activating the 3DEXPERIENCE platform

                • Installing the Design with SOLIDWORKS connector

                • Accessing AI tools like the new AI Labs tab

                No fluff, just what you need to get up and running.

                Step 1: Understand What “AI in SOLIDWORKS” Actually Means

                Before jumping into setup, it’s important to clarify something:

                AI in SOLIDWORKS isn’t a single feature. It’s a set of capabilities delivered through the 3DEXPERIENCE platform.

                Today, that includes things like:

                • Design assistance and recommendations

                • Automation of repetitive tasks

                • Data-driven insights

                • Early access tools in AI Labs

                In other words, AI is layered into your workflow, not replacing it.

                Step 2: Confirm Your Prerequisites

                Before you can access any AI-driven tools, you’ll need a few key components in place.

                Required Software

                • SOLIDWORKS 2026 (or newer)

                • Active subscription (required for cloud services integration)

                Platform Access

                • A 3DEXPERIENCE platform account

                • Assigned roles (including Collaborative Designer for SOLIDWORKS)

                System Requirements

                • Stable internet connection

                • Admin rights for installation

                • Browser access to the platform

                If you’re missing any of these, that’s your starting point.

                Step 3: Activate the 3DEXPERIENCE Platform

                AI functionality depends on your connection to the 3DEXPERIENCE platform.

                How to Activate:

                • Check your welcome email from Dassault Systèmes
                • Click the activation link
                • Set your password and log in
                • Access your platform dashboard

                Once inside, you should see your roles and available apps.

                Still confused? Follow our Getting Started guide:
                Getting Started with the 3DEXPERIENCE Platform

                Step 4: Install the 3DEXPERIENCE Launcher

                Before installing any apps, you’ll need the 3DEXPERIENCE Launcher.

                Steps:

                • Log into your 3DEXPERIENCE platform
                • Navigate to the Compass (top-left menu)
                • Scroll down to My Apps and locate Design with SOLIDWORKS.
                • Select the app to begin the installation.
                • Click Install Launcher when prompted
                • Run the installer

                This tool acts as the bridge between your browser and desktop applications.

                Step 5: Install “Design with SOLIDWORKS”

                This is the most important step.

                The Design with SOLIDWORKS connector is what links your desktop SOLIDWORKS environment to the platform, and enables AI-driven features.

                Installation Steps:

                • In the platform, search for Design with SOLIDWORKS
                • Click Install
                • Accept default settings (recommended)
                • Complete installation
                • Restart your machine if prompted

                Once installed, your environment is officially “connected.”

                Having trouble? Check out our installation guide:
                Connect SOLIDWORKS Desktop to the 3DEXPERIENCE Platform

                Step 6: Launch SOLIDWORKS from the Platform

                This step is often missed, however, it is absolutely critical.

                First Launch:

                • Go to the platform
                • Click Open on Design with SOLIDWORKS
                • Launch SOLIDWORKS from the browser

                Why this matters:

                This ensures:

                • Your session is authenticated
                • The connector is active
                • Cloud services are initialized

                If you launch SOLIDWORKS directly from your desktop first, you may not be connected properly.

                Step 7: Verify the 3DEXPERIENCE Add-in

                Once SOLIDWORKS opens, confirm everything is working.

                Check:

                • A 3DEXPERIENCE tab appears in the task pane
                • Add-in is enabled under:
                  Tools > Add-ins

                If it’s not active:

                • Enable it manually
                • Restart SOLIDWORKS if needed

                This confirms your system is fully connected.

                Step 8: Access the AI Labs Tab

                Now we get to the interesting part.

                With everything configured, you should have access to AI Labs, where new AI-driven tools are introduced.

                Where to Find It:

                • Inside SOLIDWORKS (Task Pane)
                • Look for AI Labs tab

                What You’ll Find:

                • Experimental AI features
                • Early access tools
                • Workflow enhancements powered by AI

                These features evolve quickly, so expect changes over time.

                Step 9: Start Using AI Features (Practical Examples)

                Once inside AI Labs or connected tools, start small.

                Good First Use Cases:

                • Automating repetitive design steps
                • Getting design suggestions
                • Exploring data-driven insights

                What Not to Expect:

                • Fully automated design generation
                • “One-click engineering”

                AI is there to assist, not replace your expertise.

                Step 10: Best Practices for Getting Started

                This is where most teams succeed or struggle.

                ✔ Start Small

                Don’t try to overhaul your entire workflow.

                ✔ Focus on Real Problems

                Look for:

                • Repetitive tasks
                • Bottlenecks
                • Manual processes

                ✔ Validate Everything

                AI suggestions still require engineering judgment.

                ✔ Train Your Team Gradually

                Adoption works best when it’s incremental.

                Final Thoughts: Where AI in SOLIDWORKS Is Headed

                AI in SOLIDWORKS is evolving, but the direction is clear:

                • More automation of low-value tasks
                • Better decision support
                • Deeper integration with simulation and data

                And importantly:

                SOLIDWORKS isn’t being replaced, it’s being enhanced.

                For most teams, the real opportunity isn’t jumping ahead, it’s simply getting started.

                For more information on AI in SOLIDWORKS, reach out to us through our website:
                SOLIDWORKS AI: Transform Your Design with Artificial Intelligence


                Michael Habrich

                3DEXPERIENCE Specialist

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                Any questions? Need help? Ask one of our experts.

                Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

                  Connecting SOLIDWORKS Desktop to the 3DEXPERIENCE Platform

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                  Connecting SOLIDWORKS Desktop to the 3DEXPERIENCE Platform

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                  The 3DEXPERIENCE platform includes a wide range of powerful, web-based apps, but many teams prefer to continue designing in the familiar SOLIDWORKS desktop environment. The good news? You don’t have to choose one or the other.

                  By combining SOLIDWORKS desktop with the Design with SOLIDWORKS connector, you can keep your existing workflows and interface while taking full advantage of cloud-based file storage, sharing, and collaboration.

                  In this article, we’ll walk through:

                  • Installing the Design with SOLIDWORKS connector

                  • Launching SOLIDWORKS with the 3DEXPERIENCE connection enabled

                  • Saving files directly to the platform

                  • Managing your local cache for best performance

                  Installing Design with SOLIDWORKS

                  First, once your 3DEXPERIENCE tenant is activated, or you’ve been invited to an existing one , linking SOLIDWORKS desktop to the platform is quick and straightforward.

                  • In the 3DEXPERIENCE interface, click the Compass icon in the upper-left corner.

                  • Scroll down to My Apps and locate Design with SOLIDWORKS.

                  • Select the app to begin the installation.

                  Installing Design with SOLIDWORKS

                  During installation, you’ll be prompted to:

                  • Install all granted roles, or

                  • Install only the roles required for the Design with SOLIDWORKS connector

                  Installing Design with SOLIDWORKS

                  The installer will then allow you to choose:

                  • The installation directory

                  • The location of your 3DEXPERIENCE cache

                  By default, the cache is stored in C:\3DEXPERIENCE. Since the cache is managed directly from within SOLIDWORKS, you typically won’t need to access this folder manually.

                  The cache is stored in C:\3DEXPERIENCE

                  Once installation is complete, the connector is added to your system.

                  Enabling the 3DEXPERIENCE Add-In in SOLIDWORKS

                  Before using the connector, take a moment to confirm the 3DEXPERIENCE add-in is enabled in SOLIDWORKS.

                  • Launch SOLIDWORKS.

                  • Go to Settings > Add-Ins.

                  • Verify that the 3DEXPERIENCE add-in is installed and checked.

                  Enabling the 3DEXPERIENCE Add-In in SOLIDWORKS

                  This ensures SOLIDWORKS can communicate properly with the platform.

                  Launching SOLIDWORKS with the Connector

                  One important workflow change to be aware of is how you launch SOLIDWORKS.

                  • Launching SOLIDWORKS from a desktop shortcut or system search opens the standard desktop version without the 3DEXPERIENCE connection.

                  • To use the connector, launch Design with SOLIDWORKS instead.

                  This starts SOLIDWORKS with full 3DEXPERIENCE functionality enabled.

                  You can also:

                  • Use the dropdown next to Design with SOLIDWORKS to check for updates or uninstall

                  • Create a dedicated desktop shortcut for Design with SOLIDWORKS, allowing you to access cloud functionality without opening a web browser

                  Launching SOLIDWORKS with the Connector

                  Saving Files to the 3DEXPERIENCE Platform

                  Once connected, saving files to the cloud is seamless.

                  You can:

                  • Use Save to 3DEXPERIENCE from the File menu (alongside Save and Save As), or

                  • Use the 3DEXPERIENCE Task Pane, added by the add-in

                  The task pane lets you:

                  • Browse your tenant

                  • Search for existing data

                  • Right-click and save files directly to the platform

                  And if needed, you can still save files locally, the connector doesn’t force you into a cloud-only workflow.

                  Saving Files to the 3DEXPERIENCE Platform

                  Managing the 3DEXPERIENCE Cache

                  When you open or edit files stored on the platform, they’re downloaded locally to your 3DEXPERIENCE cache. Keeping this cache clean can significantly improve performance.

                  The 3DEXPERIENCE add-in makes cache management easy:

                  • Delete individual cached files

                  • Use the cleanup tool to remove files older than a specified date

                  The cleanup utility is smart. It automatically skips:

                  • Files referenced by assemblies

                  • Files not yet saved to the platform

                  • Files that are currently locked

                  This helps you clear space without risking your data.

                  Saving Files to the 3DEXPERIENCE Platform

                  Final Thoughts

                  The Design with SOLIDWORKS connector bridges the gap between SOLIDWORKS desktop and the 3DEXPERIENCE platform, giving you the best of both worlds. You get cloud-based collaboration and data management without changing how you design.

                  If you need help installing the connector, optimizing your workflow, or rolling this out to your team, your Solidxperts team is here to help.

                  Looking to learn more?

                  • Explore additional articles and tutorials

                  • Connect with other users and experts

                  • Or reach out to us! We’re always happy to help you get the most out of your tools


                  Michael Habrich

                  3DEXPERIENCE Specialist

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                  Any questions? Need help? Ask one of our experts.

                  Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

                    7 Myths About AI: Demystifying Bias and Technological Limits

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                    7 Myths About AI: Demystifying Bias and Technological Limits

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                    Every wave of innovation in artificial intelligence (AI) brings real technological progress, along with a dramatic rise in hype. With every breakthrough, new narratives emerge: AI is portrayed as “magical,” endowed with its own will, on the verge of becoming superhuman, or conversely as something completely uncontrollable by law.

                    As a result, this fog of myths makes AI opaque to the public, complicates decision-making for organizations, and distracts attention from the real technical and societal challenges.

                    In this article, we aim to clarify two key questions:

                    • What are the main myths currently surrounding AI?

                    • And what technical, physical, and social realities help dismantle them?

                    The Major Myths Shaping Our View of AI

                    Several myths structure today’s collective imagination about artificial intelligence.

                    “AI has agency.”
                    The idea that AI systems act on their own initiative, with intentions, goals, or desires.

                    “Superintelligence is imminent.”
                    The belief that we are only a few years, or even months, away from a general intelligence far surpassing human capabilities.

                    “AI can be objective or impartial.”
                    The assumption that algorithms are inherently neutral because they rely on computation.

                    “AI has a clear definition.”
                    As if AI referred to a single, clearly defined technology, when in reality no universal definition exists.

                    “Ethical guidelines are enough to protect us.”
                    The perception that voluntary ethical charters are sufficient safeguards against harmful AI uses.

                    “AI cannot be regulated.”
                    The claim that technological innovation moves too fast for legal systems to keep up.

                    “AI can solve any problem.”
                    The idea that AI is a universal solution applicable to any technical, economic, or social challenge.

                    In reality, these myths stem from a mixture of marketing, science fiction, and technical misunderstanding. To move beyond them, we need to return to what AI actually is today.

                    1. Agency and Consciousness: AI as a “Stochastic Parrot”

                    One of the most common misconceptions is attributing intention to AI. We often talk about what AI “wants,” “decides,” or “thinks.” Yet modern systems, especially large language models (LLMs), function much more simply.

                    Models That Predict, Not Understand

                    An LLM does not interpret your sentences in the human sense. Technically, it:

                    • receives a sequence of tokens (pieces of words) as input

                    • computes a probability distribution over the next token using a trained neural network

                    • selects or samples the next token according to this distribution

                    • repeats the process until a complete response is produced

                    This mechanism relies on massive statistical correlations learned during training. At no point does the system possess:

                    • semantic understanding of concepts

                    • an internal model of the world comparable to a human’s

                    • independent intentions or goals

                    In other words, what researchers sometimes call a “stochastic parrot”: a machine that reproduces learned language structures in sophisticated probabilistic combinations.

                    Anthropomorphism as a Persistent Bias

                    If these systems appear to “think,” it is largely because humans naturally anthropomorphize systems that display seemingly intelligent behavior. This cognitive bias is central to many misunderstandings about AI today.

                    2. Superintelligence and the Resource Wall

                    Another dominant narrative suggests that we are on the verge of general superintelligence, held back only by corporate caution. However, the actual infrastructure behind AI tells a different story.

                    The Data Wall: A Finite Resource

                    Today’s large models rely on enormous volumes of high-quality human-generated data: text, conversations, code, and multimedia content. But this resource is not infinite.

                    Estimates suggest that high-quality training data suitable for ever-larger models could be largely exhausted between 2026 and 2032. Beyond that point:

                    • existing datasets would be reused repeatedly, yielding limited improvements

                    • or synthetic data would be used, introducing new risks and feedback loops

                    Physical Constraints and Diminishing Returns

                    The idea of unlimited growth in model power faces several practical limits.

                    Energy and cooling constraints
                    The computing density required for training and deploying the largest models pushes data centers toward limits in:

                    • electrical grid capacity

                    • cooling infrastructure needed to dissipate heat

                    Hardware limits
                    GPUs and other accelerators are approaching physical limits in terms of performance per watt and cost efficiency.

                    Diminishing returns
                    Scaling models by increasing parameters, data, or compute still improves performance, but each additional gain becomes smaller relative to the resources invested.

                    These “resource walls” do not prevent progress, but they challenge the idea of a straightforward path toward limitless superintelligence.

                    3. Objectivity and Impartiality: AI as a Mirror of Human Bias

                    AI is often presented as a way to eliminate human bias. In reality, AI systems frequently inherit and sometimes amplify existing inequalities.

                    Data Bias: Who Is Represented?

                    Models can only generalize effectively if training data represent a sufficiently diverse set of situations and populations.

                    When datasets are imbalanced, performance degrades unevenly. Studies have shown, for instance, that some facial recognition systems exhibit error rates up to 35% higher for darker-skinned women than for white men.

                    This is not an isolated bug. It reflects underlying representation biases in the data.

                    Design Bias: Optimization Choices Matter

                    Even with balanced datasets, models reflect the priorities of their designers:

                    • How is overall accuracy balanced against fairness between groups?

                    • Which metrics are optimized during training and deployment?

                    • What trade-offs are accepted between false positives and false negatives?

                    These decisions directly shape who benefits from an AI system and who may be harmed. Claims of algorithmic objectivity often overlook these design choices.

                    4. The Plural Architecture of AI

                    Contrary to popular belief, “artificial intelligence” does not describe a single unified technology. Instead, it is an umbrella term covering a broad and heterogeneous set of methods, theories, and applications.

                    A Hierarchy of Often-Confused Concepts

                    Many people use AI, Machine Learning, and Deep Learning interchangeably, although they represent different levels of abstraction.

                    Artificial Intelligence (AI)
                    The broader field of computer science focused on creating systems capable of performing tasks that require human-like cognitive abilities.

                    Machine Learning (ML)
                    A subset of AI in which systems learn patterns from data rather than relying solely on explicit programming.

                    Deep Learning (DL)
                    A specialized ML approach using multi-layer neural networks to process complex data such as images, speech, or language.

                    Divergent Definitions

                    The meaning of AI changes depending on perspective.

                    • Scientific definition: a research discipline exploring computational models of cognition.

                    • Technological definition: systems capable of perceiving their environment and taking actions accordingly.

                    • Popular definition: a largely anthropomorphic vision attributing awareness or autonomy to machines.

                    A Fragmented Ecosystem

                    AI is not monolithic. It includes multiple research traditions and technical approaches.

                    Two historical families illustrate this diversity:

                    Symbolic AI
                    Systems based on logical rules and expert knowledge.

                    Connectionist AI
                    Statistical approaches based on large datasets and neural networks, including modern language models.

                    Narrow AI vs General AI

                    Today’s systems belong entirely to narrow AI, designed to perform specific tasks such as:

                    • playing chess

                    • recognizing objects in images

                    • detecting fraud

                    • generating text

                    Artificial General Intelligence (AGI), capable of learning any intellectual task a human can perform, remains a speculative concept.

                    5. Ethics, Marketing, and the Need for Regulation

                    In response to AI risks, many organizations have adopted ethical charters and voluntary guidelines. While useful, these tools have clear limitations.

                    Ethical Marketing

                    Without enforcement mechanisms, many ethical charters function more as reputation tools:

                    • they reassure stakeholders

                    • they improve brand image

                    • but they rarely prevent high-risk systems from being deployed

                    Toward Enforceable Regulation: The EU AI Act

                    Contrary to the myth that AI cannot be governed, regulatory frameworks are emerging.

                    The European Union’s AI Act proposes a risk-based approach:

                    • Unacceptable risk systems are banned

                    • High-risk systems must comply with strict requirements including transparency, traceability, documentation, conformity assessments, and human oversight

                    • Minimal risk systems face limited regulation

                    The goal is not to slow innovation, but to ensure that AI systems remain accountable within existing legal frameworks.

                    6. AI Is Not a Magic Wand

                    Perhaps the most persistent myth is that AI can solve any problem.

                    In reality, successful AI systems are:

                    • specialized, designed for specific tasks such as image recognition, text summarization, fraud detection, or code generation

                    • limited in common sense, often failing when faced with situations outside their training distribution

                    • highly context-dependent, relying on data quality, system integration, and human oversight

                    The same model may perform extremely well in a well-defined environment yet fail dramatically when conditions change or when real-world usage diverges from intended scenarios.

                    AI as a Component, Not a Strategy

                    For organizations, AI should be viewed as:

                    • a technical component within a larger system architecture

                    • integrated into a broader strategy involving governance, metrics, risk management, and human supervision

                    The wrong question is:

                    “How can we add AI everywhere?”

                    The better question is:

                    “On which well-defined problems does AI provide a real advantage compared to existing solutions?”

                    Moving Beyond the Myths

                    Today’s AI is neither a conscious entity, nor an imminent superintelligence, nor a universal solution.

                    It is a set of powerful techniques deeply grounded in real-world constraints. These systems are limited by physical infrastructure such as energy, cooling, and hardware, as well as by the availability of data and computational resources. They are also shaped by the social structures and human biases embedded in the data and objectives guiding their development.

                    By dismantling the myths surrounding AI, autonomous agency, imminent superintelligence, perfect objectivity, legal ungovernability, or universal applicability, we can ask better technical questions, design safer systems, and build more effective regulatory frameworks.

                    Ultimately, understanding these realities allows us to treat AI for what it truly is: a powerful but specialized tool that must be used with rigor, transparency, and human oversight.

                    If you have questions about AI and its practical applications, our experts are here to help. Contact us to start the conversation.


                    Benoit Bilodeau

                    Senior Solutions Architect

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                    Any questions? Need help? Ask one of our experts.

                    Whether you’re ready to get started or just have a few more questions, you can contact us toll-free:

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