AI-powered visual inspection for flawless custom parts in low-volume production.
Small-scale manufacturers struggle with inconsistent quality control for custom parts when scaling from prototypes to production runs.
QualiScan lets manufacturers upload photos of custom parts, where AI instantly detects defects like cracks, misalignments, and surface issues. It generates reports with pass/fail scores and improvement recommendations, ensuring consistent quality as you scale from prototypes to runs. Simple mobile app integration makes QC checks routine on the shop floor.
Owners and engineers in small-scale manufacturing shops producing custom parts with low-volume runs
Tailored AI models pre-trained on custom machined parts data, achieving 95% accuracy without custom training per shop.
professional
Upload part photos via web or mobile; AI analyzes for defects in seconds.
Instant PDF reports with images, scores, and annotations.
Scan multiple parts in one upload for production runs.
Dashboard showing defect rates over time per part type.
Native-like mobile capture with real-time feedback.
Add shop-specific defects for AI fine-tuning.
Overlay AI results on CAD models.
Email/SMS for high defect rates.
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| text | No | |
| shop_name | text | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
| description | text | Yes |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| part_id | uuid | No |
| image_url | text | No |
| ai_score | int | No |
| defects_detected | text | Yes |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| name | text | No |
Relationships:
/api/inspectionsCreate new inspection with photo upload
/api/inspections/:idGet single inspection report
/api/partsList user's parts
/api/partsCreate new part
/api/dashboard/trendsGet defect trends data
/api/defect_typesAdd custom defect
No trends, watermarked reports
1 shop user
5 shop users
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 100 | 3% | $100 | $1,200 |
| Month 6 | 600 | 8% | $1,500 | $18,000 |
AI visual inspection tailored for custom parts – scale production without quality dips.
Post in r/manufacturing and r/CNC about free beta access for first 10 shops; email 50 targeted LinkedIn engineers from small shops in US/EU; offer free Pro tier for 3 months in exchange for feedback and case studies.
High accuracy industrial
Expensive hardware, no SaaS
Affordable camera-based SaaS, no setup
Proprietary dataset of custom part defects grows with user uploads, improving AI exclusively.
Cheap AI vision APIs + rise in custom/low-volume manufacturing via Etsy/Shopify makers scaling up.
AI accuracy varies by part material
Start with common metals, user feedback loop
Shops prefer manual QC
Free tier demos value
Image storage costs
Supabase optimized storage
Success: 5 confirm willingness to pay $32
Success: 80% retention week 2
Success: 100 users week 1
Success: 10% MoM growth
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