Realistic rendering
Controllable optics, lighting & materials for lifelike data.
SYNIGEN
From CAD to production-ready AI
Complete pipeline to turn .stp / .obj / .stl into synthetic datasets, label every frame instantly, and train/validate vision or robot-guidance models — even with no/limited/sparse data.
Challenges of failing Computer Vision System projects
Game changer, Synigen
Underlying magic
What makes it work
Auto defect integration
Add 2D/3D defects manually or procedurally (here: e.g. blisters).
AI module / Annotation
Run inference inside Synigen to shorten fine-tuning loops.
Added Value
Speed
Batch rare defects quickly and safely, ready for training.
Flexibility
Iterate models and regenerate data without costly delays.
Accuracy
Zero manual labeling means no bias or annotation errors.
Value
From dollars to cents per image with synthetic pipelines.
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Curf is participating in the ESA Business Incubation Centre Belgium.