On-premises rendering for industrial plants
Scattered design data, restructured so AI can use it. Fine-tuned models and section-level prompts run as a lightweight deployment on the client's own infrastructure.
Phase 1 live, now in support and maintenance
- Customer
- Samsung E&A
- Areas
- Visualization
- Deployment
- On-premises (inside the client's environment)

1Problem
Plant proposals need images that let non-specialists read a complex master plan at a glance. The design data needed to make them was scattered across the organization.
2Input
Color-coded 2D site plans by section, massing models, and the client's existing design data
3How it works
We cleaned up the client's design data so AI can use it: viewpoint correction, alignment, captioning, labeling and classification. Section-level prompts and partial sampling were added, and the image model was fine-tuned to hold scale, structure and components. The result runs as a lightweight deployment inside the client's environment.
4Output
Photoreal aerial plant renderings, generated by marking sections on a site plan
Results
- Wide-area aerial renders: 4 weeks → a few hours
- Partial sampling keeps piping and structure intact while sky, terrain and landscape change
- Phase 1 built, now in maintenance and technical support
Could this work on your projects?
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