The platform

Vision AI that learns your fabric standards

From a single uploaded image to a fully-instrumented production floor — detection, dashboards, an AI analyst and a model that sharpens every time your QC team reviews a result.

9+
Defect classes & growing
92.8%
Detection accuracy
<2s
Per image
AI
Root-cause analyst
Core capabilities

Six pillars, one workflow

AI defect detection

A YOLOv8 vision model scans every image in under two seconds, returning precise bounding boxes, defect class and a confidence score across 9 live classes — with a 10th in active training.

Single + batch<2s / image9 classes live

Live dashboard

Real-time defect trends, distribution donuts and pass-rate KPIs — plus the full industry QC gallery: four-point grade, SPC control charts, Pareto, quality index and supplier scorecards.

Drag to reorderLive chartsPer-device layout

AI Analyst

A Claude-powered analyst filtered to each production line. It reads every inspection — not a sample — spots patterns and explains root causes in plain language, with chat history that persists.

Claude Sonnet 4.6Per-line contextRoot-cause answers

Continuous learning

Every result ships with “did we get this right?”. One tap confirms; a correction lets your team draw the right box. Each correction is auto-exported as training data and queued for the next retrain.

One-click confirmDraw-to-correctAuto retrain queue

Production lines

Create a line per machine or floor. Each has its own analytics, batch history, gallery, inspections log and AI analyst — so you can benchmark lines against each other.

Per-line statsBatch historyBenchmarking

Alerts

Threshold rules on any metric — defects per image, pass rate, a specific defect class. Get notified via email, Slack or in-app the moment quality drifts, with per-rule cooldowns.

Email + SlackCustom thresholdsCooldowns
From upload to insight

Three steps, seconds apart

Capture fabric with any camera or phone, let the model detect in under two seconds, and watch results flow into a live dashboard you can interrogate with the AI Analyst.

  • Drag-and-drop single images or batch hundreds at once
  • YOLOv8 returns boxes, class and confidence per defect
  • Results stream to dashboards, scorecards and alerts in real time
1

Capture

Any camera, drag-and-drop, or batch upload.

2

Detect

YOLOv8 classifies and localises every defect.

3

Analyse

Dashboards, AI analyst, alerts, certificates.

See it on your fabric

Explore with sample data, or bring your own images and we’ll show you what Seam catches.