IMG
kraft.
Visual Data, **Automated Actions.** Our custom image perception platform that classifies assets, detects manufacturing anomalies, and measures physical bodies at scale.
Image Perception. Driven by Outcomes.
We replace slow, manual visual inspections and tagging workflows with custom-trained edge inference neural networks.
imgkraft for Revenue Growth
- ✓ WebGL 3D Body Measurement Scans
- ✓ Dynamic Retail Product Tagging
- ✓ Visual Outfit Recommendations
Cuts cataloging time by 80% while boosting e-commerce add-to-cart rates by 35% through custom-fit measurements.
imgkraft for Operations
- ✓ Real-time Defect Detection
- ✓ YOLOv9 Custom Assembly Checks
- ✓ Local Edge Cam Feed Processing
Eliminates visual inspection oversights, achieving 99.8% QC compliance with zero cloud latency.
imgkraft for Leadership
- ✓ Multi-Camera Ingest Dashboards
- ✓ Visual Safety Compliance Checks
- ✓ Historical Drift Analytics
Aggregates site metrics and visual safety audits dynamically, reducing facility insurance premiums by 15%.
Manual tagging does not scale.
Outsourcing cataloging and defect checking to manual teams leads to delayed launches and high overhead cost.
- ✕ Manual labeling and custom categorization.
- ✕ Multi-day turnaround times for e-commerce catalogs.
- ✕ Human oversight errors during visual assembly checks.
- ✓ Automatic visual tag generation in milliseconds.
- ✓ 99.8% precision defect tagging on edge hardware.
- ✓ Automated size-matching body scans for retail.
Catalog images tagged dynamically within 150ms of upload.
Detect microscopic alignment anomalies on industrial assembly loops.
Facility insurance reductions using automated safety compliance tracking.
Boost interactive shopper engagement using body scan fitting tools.
ENGINE ARCHITECTURE
The Core Stack.
imgkraft Engine
Edge Inference Active
For the CFO
Saves manual inspection labor costs and cuts return logistics bills by over 30% inside 90 days.
For the CTO
Quantized ONNX weights allow edge inference to complete locally in 150ms without public api latency.
For the CISO
Processing runs inside your private VPC. No raw camera feeds or catalog data is shared externally.
Frequently Asked Questions
What is the processing time per image?
Our quantized YOLO models complete analysis in under 150ms, allowing real-time processing of high-volume feeds.
How accurate is the defect detection?
We achieve 99.8% precision for mechanical defects, exceeding typical human inspection quality standards.