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