or click to browse · JPG · PNG · PDF · DWG · DXF
Estimates
Estimated vs Actual Variance
BOM Audit
Upload a furniture image to run it through the vision model and check for hallucinations (impossible features like casters, gas lifts, 5-star bases on stationary seating).
or click to browse · JPG · PNG
Product Metadata
Hallucination Flags
Visual Attributes
Parts
| Part | Material | Qty | Unit |
|---|
Dim Inference
Upload a furniture image, DWG, or PDF — the dimension extractor reads annotated measurements from technical drawings (or applies proportional defaults for photos).
or click to browse · or ⌘V to paste from clipboard · DWG · DXF · PDF · JPG · PNG
Training Data
| Image | Product Type | BOM Preview | Status | Actions |
|---|
Training Monitor
Live Metrics
Loss Curve
Validation & Audit Events
Run History
| Started | Type | Status | Samples | Steps | Final Loss |
|---|
Dataset Generation
Upload a client DWG, PDF, or image — the model detects the furniture type and dimensions, then generates thousands of parametric variations for dim-extractor training.
or click to browse · DWG · DXF · PDF · JPG · PNG