Dr. Maor Farid, Co-Founder & CEO at Leo AI
Dec 7, 2025
Your CAD data is your gold. Your PDM, PLM, and CAD library are your treasure chest. They hold all your previous designs, which encapsulate your IP and best practices, and represent one of your most significant competitive advantages.
Just like every new engineer joining your company must familiarize themselves with your previous designs to understand your best practices and context, the AI tool you choose must do the same.
Any AI tool worth considering must check all these boxes:
Secure: Keeps your proprietary data protected and doesn't use it to train its AI model
Integrates with your workflow: Connects to your knowledge bases (PLM, ERP, local/network folders) and CAD
Understands CAD files: Not just text files
Delivers substantial ROI: Not just "cool AI," but value that justifies changing how you work today
In this article, we'll break down how to choose the best AI copilot for your engineering team's needs.
How To Choose an AI Copilot That Learns From Your CAD Library
Think about this: you and your friend Joe are both mechanical engineers. You work for NASA, Joe works for HP. You both use your engineering AI copilot and ask for the same thing: "ball bearing."
You expect to get a titanium space-grade bearing. Joe expects to get a standard SKF one.
Same request. Different context. Different expected output.
Your AI copilot must understand your context and best practices. What are your preferred parts and vendors? What are the most common components in your previous designs? What industry do you operate in, and what standards must you follow?
The gateway to this context is your CAD and text libraries.
Why ChatGPT, Gemini, Claude, and Other Generic AI Tools Aren't Enough
Your CAD data contains much more information than the text in its title. No doubt about that.
But doesn't it seem odd that your PDM search tool only helps you search based on part title text? If you're looking for a spring with a constant of 3000 N/m, structural damping of 0.2%, and free length of 750 mm, how exactly is your search bar going to help you find that?
Generic AI tools like ChatGPT, Gemini, and Claude are called LLMs (Large Language Models). They're great at analyzing text. But they cannot read or understand CAD files, which limits their ability to understand your context. While these tools excel at summarizing documents or writing code, they can't interpret assemblies, tolerances, or constraints.
Mechanical engineering demands more than textual understanding. It requires spatial reasoning and specialized knowledge that general-purpose models simply don't have.
Beyond that, these LLMs operate in the browser, completely detached from engineering workflows (PLM, CAD, ERP, folders). This increases the friction and effort required to use them in real time during a design project.
And here's the trust problem: in engineering, every decision should be backed by a legitimate source, whether that's internal guidelines, an engineering handbook, or an industry standard. Recent studies show that 40% of the training data behind these generic AI tools comes from Reddit, a social network of anonymous users sharing unvetted opinions.
So when your fellow engineer asks ChatGPT "how many bolts should I use to seal a pressure cell that holds 500 MPa" and it answers "5 M8 bolts, no O-rings," that answer is essentially citing an anonymous person from somewhere in the world who once posted it on Reddit. No engineering context. No verified knowledge. No trustworthiness.
Imagine the potential risk of trusting these tools in real engineering projects in the medical device, automotive, or defense industry.
Leo: The Engineering-Specific AI Solution
Leo was built by and for mechanical engineers. It uses a patented proprietary AI model, the first designed to understand CAD files. It integrates into your engineering workflow securely (SOC 2 certified, GDPR compliant) and seamlessly connects to your PLM, PDM, CAD, ERP, and local/network folders.
With Leo, you can:
Inspect your designs
Find best-fit parts from your organization's databases and 120M+ vendor parts
Answer technical questions and run calculations
All in real time. All based on both your tribal knowledge (CAD and text data) and industry best practices (over one million standards, articles, and books, the foundational references of mechanical engineering). And always backed by sources, so you can treat Leo as your trusted engineering companion.
Results our customers see:
18% faster time to market
34% reduction in design mistakes
30% reduction in redesign work (by finding existing designs in your library and vendor catalogs)
5 hours saved per engineer per week
Watch how Leo inspects assemblies in real time:
Here's how Leo works:
Understands assemblies, geometry, and mechanical systems at a technical level
Integrates with PDM, PLM, ERP, and project management systems to leverage company knowledge and maintain workflow continuity
Supports vendor part search and material selection with full engineering context
Processes large engineering datasets to identify patterns, best practices, and preferred parts
Optimizes designs for DFMA compliance and enables data-driven decisions 10x faster
Provides context-aware suggestions based on mechanical engineering principles, your data, and your workflows
Which AI Copilot Is Best for Mechanical Engineering?
When selecting a copilot, engineers should prioritize one designed specifically for mechanical engineering. This comparison makes the difference clear.
Generic AI Assistants vs. Leo: The Engineering-Specific AI
Feature | Generic AI (Gemini, ChatGPT) | Leo AI |
Understanding of engineering and geometric context | No awareness of CAD, assemblies, or mechanical constraints | Fully understands CAD models, assemblies, constraints, tolerances, and engineering workflows |
Engineering calculations | Limited support; often requires manual verification | Built-in validation, calculations, and references to ensure accuracy |
CAD and software integration | No integration; works outside engineering tools | Works directly within CAD and engineering software, maintaining workflow continuity |
Data security | Inputs may be stored or used externally | Keeps sensitive company and design data secure |
Workflow assistance | Primarily generates text | Supports part search, documentation, onboarding, and automates repetitive engineering tasks |
Why You Should Consider Using Leo AI
Leo AI proposes design concepts while leaving engineers in full control of refining, validating, and making final decisions. The combination of AI-powered insights, context-aware guidance, and seamless integration with existing workflows makes it the most effective copilot for mechanical engineering tasks.
If you believe you or your team would benefit from using Leo AI in your workflow, create an account today. We're confident you'll see the difference.
Conclusion
Choosing an AI copilot isn't a software decision. It's a workflow and culture decision.
Generic tools like ChatGPT and Gemini were built for text and trained with the goal of making users feel "satisfied" with the result, not to provide high-fidelity answers you can actually trust. They're not built for interpreting assemblies, tolerances, or the interdependencies that define mechanical systems.
They operate outside your CAD environment, can't trace their sources, and lack the specialized reasoning engineers rely on daily. For teams working in safety-critical industries or handling proprietary designs, these gaps create real risk.
The right copilot understands how mechanical engineers actually work:
It integrates directly with PDM, PLM, and CAD platforms
It handles part search, documentation, and repetitive tasks without pulling you out of your environment
It protects your company's intellectual property instead of exposing it
It delivers context-aware guidance rooted in engineering principles, not generic suggestions that require constant verification
Leo AI meets that standard. Built by engineers for engineers, it's powered by a Large Mechanical Model trained specifically on mechanical parts, assemblies, and workflows. It generates CAD files, 3D concepts, and documentation while keeping you in control of every decision.
If your team is serious about integrating AI into the design process, the choice is clear: select a copilot that speaks your language and respects the complexity of your work.
