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

R
Rafal Maciag
ยท ยท 2 min read

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

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

  • ๐Ÿ“ Protected as intellectual property
  • ๐Ÿ”’ Embedded in unique know-how that sets you apart

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

โžก๏ธ Send your data to the vendor

โžก๏ธ Retrain the model in the cloud

โžก๏ธ 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 โ€” 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 โ€” 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:

  • ๐Ÿ” Retrainable AI without vendor involvement
  • โš™๏ธ Local deployment with no external network connection required
  • ๐Ÿท White-label (coming soon) options so you can offer branded, secure AI to your clients
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