ML-Assisted Design Automation

If you're in the business of building custom equipment — you know the pain:

• Every RFQ needs engineering input  

• Design variants eat up hours of CAD time  

• Your senior engineers are bottlenecks, not multipliers  

• Quoting is slow, errors are expensive, and speed = sales lost

You’ve optimised production.  

But your design process is still manual, tribal, and slow.

At XLTech Asia, we bring a new capability to ETO and high-spec manufacturers of ML-Assisted Design Automation.

We combine:

• Historical design & performance data  

• Your existing CAD workflows  

• Lightweight neural networks  

• Modern rule-based configurators (Rulestream, DriveWorks, NX, etc.)

To deliver:

• First-pass designs in minutes  

• Predictive performance modelling without full FEA/CFD loops  

• Faster, more accurate quoting  

• More engineering capacity — without hiring

• Example: Custom Reciprocating Compressor Cylinders

• Input specs: ML interprets requirements into constraints

• CAD variant selection: Rule engine selects base model

• Parametric geometry changes: ANN refines geometry for performance

• Output: CAD-ready model + performance estimates

Typical time saved:  

⏱ 40 hours → 15 minutes

• Your past builds = your training data  

• We don't replace design teams —
  we free them to focus on edge cases  

• AI helps you quote faster, iterate earlier, and reduce risk  

• Runs on your CAD tools — no black box replacements

Secure. Local. Engineer-augmented, not AI-overlorded.

1. Data First: We audit and prep your CAD libraries + FEA/CFD data 

2. Build: Train small neural nets + define rules for your variants  

3. Wrap: Deploy tool inside your existing design flow  

4. Refine: Feedback loop for performance accuracy & confidence

Anything with defined variants but complex constraints

• Custom frames & undercarriages  

• Hydraulic system layout & routing  

• Cabin ergonomics for operator access  

• Scissor lifts, cable reels, air filtration units  

• HVAC, Wire harnesses, cable runs

If you've done it more than once — it's automatable.

• Quotation turnaround: Cut from weeks to days

• Draft design time: Hours to minutes

• FEA/CFD loop reliance: 60–80% reduction

• Senior engineering load: Freed for edge cases only

With ML+rule automation, designs become first-pass generative, not redrawn from scratch.