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Own the Model, Own the Edge: Why Retrainable AI is the Future of Welding Automation

  • Writer: Rafal Maciag
    Rafal Maciag
  • Jun 11
  • 1 min read

In industries like aerospace, spaceflight, defense, and advanced manufacturing, welding isn’t just a mechanical operation — it’s a core part of your proprietary process.

Torch paths, bead geometry, inspection tolerances, and heat profiles are all tightly controlled and often:

  • 📁 Protected as intellectual property

  • 🔒 Embedded in unique know-how that sets you apart

And yet, most AI automation systems require exactly what you can’t give up:

➡️ Send your data to the vendor

➡️ Retrain the model in the cloud

➡️ Trust someone else with your core process data


Rocket Trainer: No Data Leaves Your Site

With Rocket Trainer, you can:

  • Train and retrain models entirely on-premises

  • Keep all images, videos, and parameters within your facility

  • Own and control the AI — no third-party retraining, no cloud uploads

Whether you're automating overlay welding in spacecraft tanks or precision TIG on turbine blades, your data stays yours.


From Proprietary Know-How to Proprietary AI

Rocket Trainer lets you:

  • Start with our pre-trained models

  • Add your own labeled data to refine behavior

  • Adapt and retrain models as tolerances or parts evolve

The result? An AI that mirrors your process standards — with no external dependencies and no compromise on confidentiality.


For OEMs and Integrators: Build Secure, Flexible AI Solutions

If you're delivering welding automation into regulated or IP-sensitive environments, RocketWelder offers:

  • 🔁 Retrainable AI without vendor involvement

  • ⚙️ Local deployment with no external network connection required

  • 🏷 White-label (coming soon) options so you can offer branded, secure AI to your clients

 
 
 

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