📸 Use Cases

Visual Intelligence

Visual AI for catalog quality, fulfillment, and industrial safety. Validate tags, inspect packages, and detect hazards in under 80ms per image, on your infrastructure.

<80ms
Per image, any visual task
2 models
1.6B + 450M vision-language
10x
Cheaper than GPT-4o Vision

Three vision-language models replace manual catalog audits, conveyor-line inspectors, and CCTV monitoring staff. One validates supplier-submitted tags against product images. Another inspects package condition at conveyor speed. A third detects and localizes workers, PPE, equipment, and hazards with precise bounding boxes for industrial safety. All run on a single GPU at a fraction of GPT-4o Vision cost.

3 specialist models

How It Works

One vision-language model per visual task,inspecting at the speed of the line

01

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.

02

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.

03

Workers, PPE, and Hazards Localized With Bounding Boxes

Industrial facilities need continuous visual monitoring for PPE compliance, hazard detection, and equipment condition. Manual CCTV review is expensive and error-prone. Cloud Vision AI adds latency and data privacy concerns at camera scale. A 450M grounding LFM detects and localizes safety-relevant objects with precise bounding boxes in under 30ms per frame. At 1,000 cameras running 1fps, edge inference costs a fraction of cloud Vision API pricing. No raw video leaves the facility.

Try each model

All Demos

Ready to deploy in your environment?

Visual intelligence at industrial speed.Tags verified. Packages inspected. Hazards localized.On your infrastructure.