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.
Now with AI root cause analysis
AI-powered textile defect detection,
built for production lines.
Our vision AI learns your fabric quality standards, then flags defects with evidence and context. Today it spots holes, stains, lines, horizontal & vertical defects — with new classes being added as we train on more production data.
5+
Defect classes & growing
92.8%
Detection accuracy
<2s
Per image
AI
Root cause analyst
Trusted by textile manufacturers worldwide
KoruSer
Hassan Textile
KoruSer
KoruSer
Hassan Textile
KoruSer
Watch it detect
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.
Live simulation · Loops every 7 seconds
See it in action
A dashboard your QC team will actually use
Live defect trends, 5-class distribution analysis, pass rate tracking, and a Claude-powered AI analyst — all in one beautifully designed interface built specifically for textile quality control.
● app.seam.ai/dashboard
Dashboard
Real-time quality control analytics
Live
Inspections
0
Defects
0
Confidence
0.0%
Pass rate
0.0%
14-day quality trend
Defect distribution
Hole42
Stain28
Lines15
Horizontal9
Vertical6
AI Analyst
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
AI Analyst
Powered by Claude Sonnet 4.6
Analyzing Line 2
Seam AI
Hi! Ask me about defect patterns, trends, or root causes on this line.
Ask about defect patterns, trends…
Platform capabilities
Everything your QC team needs, in one platform
Batch Processing
Upload hundreds of images at once. Process full production batches simultaneously with live progress tracking and automatic defect tallying.
Production Line Management
Create dedicated lines for each machine or factory floor. Each line has its own analytics, batch history, gallery, and dedicated AI analyst.
Live Dashboard + AI Analyst
Real-time defect trends, pass rates, and distribution donuts — plus a Claude-powered AI Analyst that answers quality questions with data-backed answers.
Supplier Scorecards
Rank suppliers by defect rate and pass rate. Lot-level traceability, 7-day trends, and severity badges you can bring to negotiation meetings.
Alerts & Notifications
Define threshold rules on any metric — defects per image, pass rate, specific defect classes. Get notified via email, Slack, or in-app when quality drifts.
Image Gallery & Archive
Browse all inspected images with defect count badges. Filter by type, search by filename, view annotated results in a lightbox, and manage records.
Command Palette (⌘K)
Hit ⌘K anywhere to jump to any line, batch, supplier, or image. Fuzzy search across your entire production history — no clicking through menus.
PDF & Excel Export
Export your dashboard data as formatted PDF reports or Excel spreadsheets for client handoffs, supplier audits, or internal quality reviews.
5 defect classes today — detection library growing as we train on more fabric types
Hole
Tears, punctures and perforations
Stain
Discoloration and contamination
Lines
Continuous linear defects
Horizontal
Weft-direction irregularities
Vertical
Warp-direction anomalies
& more
New classes added as our model trains on more production data
How it works
From upload to insight in seconds
1
Capture
Photograph your fabric with any camera or phone. Upload individual images via drag-and-drop, or send hundreds at once through batch processing.
Drag & dropBatch uploadAny format
2
Detect
The YOLOv8 model processes each image in under 2 seconds, classifying defects and returning precise bounding boxes with confidence scores.
YOLOv8Bounding boxesConfidence %
3
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.
Live dashboardAI AnalystPDF export
Built for production
Designed for real factory floors
14-day quality trend
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.
Claude Sonnet 4.6 powered
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
Multi-line management
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.
∞
Production lines
Per-line
AI analysis
Real-time
Data updates
5 tabs
Overview · Batches · Images · Inspections · AI
Evidence archive
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
YOLOv8 model
Production-grade detection accuracy
Trained on real textile imagery across holes, stains, lines, horizontal & vertical defects today — with new classes being added as we expand our training data. Returns precise bounding boxes with per-class confidence scores.
Detection accuracy92.8%
YOLOv8
Object detection
5
Defect classes
Roadmap
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.
SHIPPING SOON
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.
SHIPPING SOON
Quality certificates
Downloadable PDF certificates per batch — supplier, lot, pass rate, defect breakdown, your logo. Forward to buyers at contract signing.
IN DESIGN
Before / after comparison
Draggable slider on any inspected image. Original on the left, AI-annotated on the right. Sell the value of detection at a glance.
IN DESIGN
Expanded defect library
Training on more fabric types to support knit pulls, weft breaks, color inconsistencies, oil spots, slubs, bird eyes, and more. Continuously updated.
IN DESIGN
Custom model training
Upload labeled examples of your own fabric defects and we fine-tune the model specifically for your product. Higher accuracy on your mills.
Mobile inspection app
Native iOS & Android app for on-floor QA. Take a photo of fabric, get an instant verdict, tag it to a lot — all from your pocket.
Multi-factory support
Roll Seam out across multiple sites with centralized dashboards. Compare plants, roll up defect rates, and benchmark performance.
Live camera streams
Point a camera at your fabric line and detect defects in real time. No uploading — just continuous inspection with instant alerts.
ROADMAP
Enterprise security
SSO (SAML, OAuth), role-based access, audit logs, data residency options, and SOC 2 Type II compliance — the full enterprise checklist.
ROADMAP
Public API
REST & webhook API for integrating Seam detection into your existing MES, ERP, or quality systems. Automate data flow both ways.
ROADMAP
Predictive maintenance
Correlate defect patterns with machine history to predict mechanical issues before they produce bad fabric. Save downtime and rework.
ROADMAP
Advanced analytics
Shift comparisons, operator benchmarks, root-cause correlation with humidity / temperature / machine speed. Ask the AI Analyst anything.
Have something else you'd like to see?
Pricing
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.
Starter
Coming soon
Work in progress
- Single & batch processing
- All current defect classes
- Live dashboard & charts
- Image gallery & archive
- Community support
Most popular
Pro
Coming soon
Work in progress
- Everything in Starter
- Multi-line management
- AI Analyst (Claude Sonnet)
- Supplier scorecards
- Alerts via email & Slack
- PDF & Excel export
Enterprise
Let's talk
Custom pricing
- Everything in Pro
- Custom model training
- Multi-factory rollups
- SSO & audit logs
- SLA & dedicated support
- On-prem / data residency
FAQ
Common questions
What defect types can Seam detect?
Seam currently detects 5 defect classes using YOLOv8: holes (tears and punctures), stains (discoloration and contamination), line defects (continuous linear anomalies), horizontal defects (weft-direction irregularities), and vertical defects (warp-direction issues). Our detection library is expanding — new classes are added as we train on more fabric types, and Enterprise customers can request custom classes specific to their products. Each detection returns a bounding box and confidence score.
How fast is the detection?
Single images are processed in under 2 seconds. Batch processing handles multiple images simultaneously with live progress tracking — upload hundreds of images at once and they process in parallel.
How does the AI Analyst work?
The AI Analyst is powered by Claude Sonnet 4.6. It has direct access to your inspection data, filtered to the specific production line you're viewing. Ask anything about defect patterns, root causes, or maintenance. Conversation history persists across sessions.
Can I manage multiple production lines?
Yes. Create as many production lines as you need. Each gets its own analytics dashboard, batch history, image gallery, inspections log, and AI Analyst context — letting you benchmark quality across lines.
How is my data stored?
All images and inspection data are stored securely with Supabase (Postgres + object storage). Data is encrypted in transit and at rest. You can delete individual images or entire batches at any time from the gallery.
Can I export reports?
Yes — the dashboard supports PDF and Excel export of your quality data, suitable for client handoffs, supplier audits, and internal quality reviews.
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.
Live demoDetection on your actual fabric samples
Custom modelTrained specifically for your defect types
Fast setupStart detecting in days, not months