AI-powered textile defect detection,
built for production lines.
Our vision AI learns your fabric quality standards, then flags defects with evidence and context. It already spots holes, stains, streaks, weft & warp defects, needle marks, broken stitches, pinched fabric and knot/slubs — and gets sharper every time your QC team reviews a result.
AI vision that sees what you'd miss
Seam's YOLOv8 model scans every image, identifying and localizing defects with precise bounding boxes and confidence scores.
Every detection includes the defect class, exact position on the fabric, and a confidence percentage — giving your QC team actionable evidence instead of vague alerts.
A dashboard your QC team will actually use
Live defect trends, multi-class distribution analysis, pass rate tracking, and a Claude-powered AI analyst — all in a dashboard you can drag, reorder, and theme to match how your floor actually works.
Ask your production data anything
The built-in AI Analyst is filtered to your specific production line. It reads every inspection, spots patterns you'd miss, and explains root causes in plain language.
- Powered by Claude Sonnet 4.6
- Analyses every inspection, not just a sample
- Context filtered per production line
- Chat history persists across sessions
- Suggests specific maintenance actions
Your QC team trains the model just by using it
Every result on Seam ships with one question: did we get this right? A single tap confirms a correct detection. If we missed it, your team draws the right box, picks the real defect class, and submits — no separate labeling tool, no exporting CSVs.
Every correction is automatically converted into YOLO-format training data and queued for the next retrain, so the model keeps getting sharper on exactly the defects your fabric produces.
- One-click confirm on detections that are already correct
- Draw-to-correct on any image, including a clean "no defect" option
- Corrections auto-exported in training-ready format
- New defect classes go from zero examples to production without a code change
Everything your QC team needs, in one platform
Single Image Detection
Upload any fabric image and get instant AI analysis with annotated bounding boxes, defect locations, and confidence scores — in under 2 seconds.
From upload to insight in seconds
Capture
Photograph your fabric with any camera or phone. Upload individual images via drag-and-drop, or send hundreds at once through batch processing.
Detect
The YOLOv8 model processes each image in under 2 seconds, classifying defects and returning precise bounding boxes with confidence scores.
Analyse
Results flow into your dashboard in real time. Ask the AI Analyst about patterns, get root cause explanations, and export reports for your team.
Designed for real factory floors
See quality drift before it costs you
Every inspection feeds a rolling trend chart. Spot gradual deterioration in defect rates days before they escalate into expensive rework or client returns.
Ask your production data anything
The AI Analyst is filtered to your specific production line. Ask "why are hole defects spiking?" and get a specific, data-backed answer — not a generic response.
- Analyses all inspections, not just a sample
- Context filtered per production line
- Chat history persists across sessions
- Recommends specific maintenance actions
Track every line independently — benchmark them against each other
Create separate production lines for each machine or factory floor. Each gets its own inspection history, analytics dashboard, batch records, and AI analyst with persistent chat — so you can identify which line needs attention and why.
Complete traceability for audits
Every inspection stores the original image, annotated result, defect count, and timestamp. Your full QC history is searchable, filterable, and exportable.
- Original + annotated images stored
- Filter by defect type or batch
- PDF & Excel report export
Production-grade detection accuracy
Trained on real textile imagery across 9 defect classes today, with a 10th (tear/cut) in active training. Returns precise bounding boxes with per-class confidence scores — and improves continuously from in-app QC corrections.
What's coming next
Seam is shipping fast. Here's what's on the roadmap — in active development, in design, or lined up for the next few quarters.
Daily & shift PDF reports
Wake up to a supplier scorecard in your inbox. Email summaries with trend charts, triggered alerts, and defect breakdowns — auto-sent at your chosen time.
Pricing is coming soon
We're still dialing in tiers with our earliest partners. Join the waitlist and we'll lock in a founding-customer rate when plans launch — plus early access to everything on the roadmap.
- Single & batch processing
- All current defect classes
- Live dashboard & charts
- Image gallery & archive
- Community support
- Everything in Starter
- Multi-line management
- AI Analyst (Claude Sonnet)
- Supplier scorecards
- Alerts via email & Slack
- PDF & Excel export
- Everything in Pro
- Custom model training
- Multi-factory rollups
- SSO & audit logs
- SLA & dedicated support
- On-prem / data residency
Common questions
What defect types can Seam detect?
Does the AI get better over time?
How fast is the detection?
How does the AI Analyst work?
Can I manage multiple production lines?
How is my data stored?
Can I export reports?
See Seam on your fabric
Tell us your fabric type and defect challenges. We'll show you exactly what Seam catches — on your own images.