Catalog Intelligence
Visual AI for catalog quality and fulfillment at warehouse speed. Validate supplier tags and inspect packages in under 80ms per image, on your infrastructure.
Two vision-language models replace manual catalog audits and conveyor-line inspectors. One validates every supplier-submitted tag against the actual product image, catching mismatches before they reach shoppers. The other inspects package condition at conveyor speed, flagging damage before shipment. Both run on a single GPU at a fraction of GPT-4o Vision cost.
2 specialist models
How It Works
One vision-language model per quality task,
inspecting at the speed of the line
Every Supplier Tag Validated Against the Product Image
Suppliers submit millions of product listings with incorrect color, material, and style tags. Manual QA catches a fraction. GPT-4o Vision validates accurately but costs $3 per 1,000 images. A specialist vision-language LFM validates each tag against the actual image in under 80ms at $0.30 per 1,000 images. At 20M products, that is $6K versus $60K annually.
Package Quality Inspected at Conveyor Speed
Fulfillment centers process millions of packages daily. Damaged packages caught after delivery cost $15-25 in returns processing. Human inspectors fatigue after hours on the line. A specialist vision-language LFM inspects every package at conveyor speed: torn corners, crushed boxes, label damage detected in under 80ms with ship-or-repackage verdicts.
Try each model
All Demos
Catalog Tag Validator
Validate supplier product tags against images using vision-language intelligence
GPT-4o Vision costs $0.003/image. LFM2.5-VL self-hosted costs $0.0003/image — 10x cheaper at catalog scale
Fulfillment QC
Real-time package quality inspection for fulfillment centers using vision AI
At <80ms per package, LFM2.5-VL inspects faster than conveyor belt speed with camera-based QC
Ready to deploy in your environment?