AI for Engineering Knowledge Management
Compare five types of AI for mechanical engineering by job, data reach and team controls, then test them on 20 real tasks over two weeks.
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5 min read
Dr. Maor Farid
Maor Farid is the Co-Founder and CEO of Leo AI, the first AI platform purpose-built for mechanical engineers. He holds a PhD in Mechanical Engineering and completed postdoctoral research at MIT as a Fulbright fellow. A Forbes 30 Under 30 honoree and former AI researcher and Mechanical Engineer in an elite military intelligence, Maor leads Leo AI's mission to transform how engineering teams design better products faster.
BOTTOM LINE
Pick the AI by job: a chat assistant for text, an in-CAD advisor for tool questions, CAD features for drawings, a predictor for simulation screening and a PDM and PLM layer for your own data. Test any candidate on 20 real tasks before buying. Leo covers the last type.
The best AI for mechanical engineering depends on the job, because no single tool covers all of them. Five types exist: general chat assistants, in-CAD help advisors, CAD drawing features, simulation predictors and PDM or PLM knowledge layers.
If your team models in SolidWorks, Onshape or Fusion and keeps files in a PDM or PLM, this guide compares the five types on data reach, where each runs and what your team controls. Facts come from vendor documentation, linked in the sources.
Four criteria decide which AI a team can adopt
Settle four questions before a pilot starts. The answers show which team can adopt a tool and which approvals it needs:
The job. Answering a question, drawing a view, predicting stress and finding an old part are four different jobs, and each has its own tool type.
The data it reads. The prompt only, the vendor's help library, the open CAD model, or the full contents of your vault.
Where it runs and who administers it. Onshape documents that its AI Advisor panel is disabled by default for Enterprise users and enabled by default for Company and Classroom users. Ask each vendor for the equivalent admin switch.
Written data terms. OpenAI states that ChatGPT improves by training on conversations unless you opt out, and that it does not use content from its business offerings. The terms differ by plan, so get the terms for your plan in writing.
IN PRACTICE
Leo uses a Large Mechanical Model trained on 1M+ technical sources. It also provides citations, so we don't have to guess whether a material property or tolerance is correct. We see 96% accuracy on technical queries.
- Dorian G., AI Engineer
Five tool types compared on job, data reach and team controls
The table has one row per type, with the named product whose documentation supports each cell.
Type | What it does | Where it runs | Data it can reach | Team features | Best for |
|---|---|---|---|---|---|
General chat assistant (ChatGPT) | Answers questions and drafts text from a prompt | Hosted chat service | What you put in the chat | First-pass explanations and writing | |
In-CAD help advisor (Onshape AI Advisor) | Answers Onshape questions with reference links | Inside Onshape | Onshape Help, Learning center courses and blogs | Off by default for Enterprise users, on for Company and Classroom users | Learning the CAD tool |
CAD drawing features (SOLIDWORKS 2026, Autodesk Assistant) | AI drawing generation and the AURA virtual companion; help, model queries and early task execution | Inside the CAD product | The open model; scope varies by product | Capabilities vary by Autodesk product | Drawings and in-tool tasks |
Simulation predictor (Ansys SimAI Pro) | Trains AI models on your solver data to predict physical fields in minutes | Desktop application in your own environment | Your simulation data, exported to neutral formats | Runs locally, with no cloud hosting needed | Screening designs before full simulation |
PDM and PLM knowledge layer (Leo) | Answers questions, finds parts and runs cited calculations from your PLM data and 1M+ engineering sources | Separate service connected to PDM, PLM, drives and ERP | Your PDM, PLM, network directories and ERP, plus 120M+ vendor parts | SOC 2 Type II; no training on customer files (see security) | Reusing parts and past decisions |
The rows answer different questions, so a pilot can run two types side by side.
Each type fits one job and carries one limit
General chat assistants fit text jobs: explaining a method, drafting a procedure or checking a unit conversion. They reach only what you paste in, so a question about your own bracket gets a generic answer. Check the plan's training terms before pasting a drawing.
In-CAD help advisors answer how-to questions about the CAD tool itself. Onshape's AI Advisor cites its own Help pages, courses and blogs, and asks you to rate each answer from 1 star (completely inaccurate) to 5 stars (completely accurate). Its documented sources are Onshape resources, so it cannot answer questions about your parts. Our Onshape built-in AI review covers it in more detail.
CAD drawing features act on the open model. SOLIDWORKS 2026 lists AI drawing generation and the AURA virtual companion, and Autodesk says Assistant capabilities vary by product. Treat the output as a draft and run it through your normal drawing review. The SolidWorks AI tools guide maps each feature to a task.
Simulation predictors shorten the wait, not the validation. Ansys tells users to validate their best-performing designs with full fidelity simulations, so SimAI screens candidates and the solver signs off. SimAI Pro ingests only neutral formats, so budget time to export solver results. The Ansys AI tools guide compares the options.
PDM and PLM knowledge layers answer questions across files that no single CAD session holds open: old designs, standards notes and supplier parts. Their limit is the index. A part that never reached the vault cannot be found, and the tool must respect the vault's permissions.
Run a two-week test on 20 real tasks
Run this test on your own files before you buy anything. The steps take about 6 hours of scoring for three candidates and two reviewers:
Pull 20 tasks from the last quarter: 5 standards questions, 5 part searches, 5 calculations with a known answer and 5 drawing or documentation chores.
Give each candidate the same 20 tasks. Record the answer, the source it cites and the minutes it took.
Score an answer 1 only if it is correct, grounded in a source a reviewer can open, and within that user's file permissions. Otherwise score it 0.
Pass a tool for a task type only if it scores at least 4 of 5 on that type and no wrong answer arrives without a citation. The engineering calculations guide lists calculation checks worth adding.
Have IT review the plan's written data terms before any file leaves your network.
Input | Value |
|---|---|
Tasks | 20 |
Candidate tools | 3 |
Scored answers | 60 |
Reviewers per answer | 2 |
Minutes per review | 3 |
Review time | 360 minutes (6 hours) |
Run the same test in Leo against your own PDM and PLM data
Connect Leo to a PDM or PLM vault, a network drive or an ERP, then feed it the same 20 tasks. Leo offers integrations with leading PDM and PLM platforms (SolidWorks PDM, Autodesk Vault, PTC Windchill, Siemens Teamcenter, Arena PLM, and others).
For a part search, ask in plain words, for example "standard bracket for a 25 mm shaft in a 40 x 60 mm envelope". Leo returns candidate parts from your vault and from 120M+ vendor parts. For a calculation, it identifies the formula, runs it and cites its sources, so a reviewer can score step 3 without redoing the math. Shape search covers the case where nobody remembers a part number.
One limit applies: Leo drafts documents and calculations for engineering review, and it does not replace the CAD engine or build full geometry on its own. Data handling terms are on the security page.
FAQ
What is the SimAI Pro application?, Ansys, accessed 2026-11-07
AI Advisor, Onshape Help, accessed 2026-11-07
What's New in SOLIDWORKS 2026, Dassault Systèmes, accessed 2026-11-07
Autodesk Assistant, Autodesk, accessed 2026-11-07
How your data is used to improve model performance, OpenAI Help Center, accessed 2026-11-07
Leo AI home page, Leo AI, accessed 2026-11-07
Leo AI security, Leo AI, accessed 2026-11-07
See Leo on your team's own files
A 30-minute walkthrough of Leo on your PDM and PLM data.
Bring 10 real tasks from your last quarter. We run them in Leo on your own data and show how deployment and access control work for your team.
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