Visual inspection AI without an ML team
Cosmetic fillers, supplement encapsulators, medical device assemblers, specialty food co-packers — upload 30-50 good-product images of one SKU, and AnomalyForge auto-trains a PatchCore model in under 60 minutes. Live inference via webcam or USB industrial camera with Slack/Teams alerts. No ML engineer, no GPU box, no annotation hell.
Sound familiar?
- ✗Cognex VisionPro and Keyence VS hardware run $5K-30K per inspection station — out of reach for small-batch CMOs running dozens of SKUs
- ✗Landing AI's LandingLens starts at $50K+/year per seat, sold to Fortune 500 manufacturers, not the 8,500+ contract packagers serving SMB brand owners
- ✗Open-source Anomalib delivers strong models but requires a full-time ML engineer to deploy, monitor, and retrain — a hire most CMOs cannot justify
- ✗Rule-based machine vision needs days of programming per SKU, killing margin on short-run jobs (1K-10K units)
- ✗Inspekto-style self-learning hardware boxes ($20-40K capex per unit) failed because SMB CMOs balked at the upfront investment
Onboarding → SKU customization → ongoing operation
Sign up, upload 30-50 good-product images of your first SKU, point a webcam or USB industrial camera at the line. AnomalyForge auto-trains a PatchCore model in under 60 minutes and starts live inference. Slack/Teams alerts fire on anomalies. AI flags, your line operator decides — that's the AI × human split that actually works on a small-batch line.
- 1
Onboarding & first SKU
30-min onboarding call. Plug in a webcam or USB industrial camera. Upload 30-50 good-product images via web upload.
- 2
Auto-train & deploy
PatchCore trains in under 60 minutes on our cloud GPU. Inference runs locally on your station with our lightweight client.
- 3
Ongoing operation & retraining
Slack/Teams alerts on anomalies. Audit log per shift. Monthly retraining included on Pro tier and above.
Inside AnomalyForge
QA teams onboard a new SKU in minutes — AnomalyForge takes 30–50 good images and a Slack webhook, then ships an ONNX model for line-side inference.
AnomalyForge
Landing scaffold — production UI ships in Phase 1.5
The $99-999/mo gap between hardware vendors and open-source
| Feature | yoritech | Others |
|---|---|---|
| $99/mo per inspection station | ✓ | Cognex/Keyence: $5-30K hardware per station |
| 30-50 good images, no annotation | ✓ | Landing AI: hundreds of labeled images, $50K+/year/seat |
| Auto-train in under 60 minutes | ✓ | Anomalib: requires ML engineer, weeks of setup |
| Webcam or USB industrial camera | ✓ | Inspekto: $20-40K self-learning hardware unit |
| Slack/Teams alerts out of the box | ✓ | Most platforms ship dashboards, integration work is DIY |
Pilot pricing
Recruiting beta partners / early adopters — limited spots before general release.
Free Pilot Audit
Free (first 20 plants only)
- ✓Limited to first 20 plants in beta
- ✓Upload one SKU's images, we deliver a PatchCore heatmap PDF + Loom walkthrough within 72 hours
- ✓Hands-on assessment by founder
- ✓If you convert: lock in $49/mo Starter for 12 months (vs $99/mo standard)
- ✓No credit card required
Founding Plant
$199/mo Pro (first 5 plants only)
- ✓Beta-only price for first 5 multi-station plants
- ✓Full Pro features (normally $299/mo)
- ✓Locked in for 24 months from launch
- ✓Founding customer logo on the homepage
- ✓Roadmap input on next 3 features
Frequently asked questions
- Q. Does PatchCore really work with only 30-50 images?
- Yes — that's what makes it the right fit for small-batch manufacturing. PatchCore was designed for low-shot anomaly detection and consistently outperforms supervised approaches when defect samples are scarce. Most customers see usable detection on the first SKU within an hour of training.
- Q. What hardware do I need on my line?
- A USB webcam (Logitech C920 works well for proof-of-concept) or any USB3 industrial camera with a UVC driver. For Pro+ tiers we test against The Imaging Source DFK and IDS uEye. No GPU needed on the line — inference runs at 5-15 FPS on a standard mini-PC.
- Q. Can I run this fully offline / air-gapped?
- Yes, on the Plant tier. We ship a Docker image of the inference engine plus a CLI for re-uploading good-product images for retraining. Perfect for medical device assembly and pharma where data cannot leave the floor.
- Q. What about false positives stopping my line?
- AnomalyForge does not auto-stop the line. It alerts; your operator decides. We tune detection thresholds per SKU during onboarding and provide a calibration UI so you can shift sensitivity without retraining.
- Q. How does this compare to Landing AI / LandingLens?
- LandingLens is a fully-featured ML platform priced for Fortune 500 manufacturers ($50K+/year/seat, requires data labeling). AnomalyForge is purpose-built for small-batch CMOs needing to inspect dozens of SKUs cheaply, fast, with no ML staff.
- Q. What if my anomaly type is structural (missing component) vs cosmetic (scratch)?
- PatchCore handles both well in our benchmarks. Missing components show up as low-similarity patches; cosmetic defects as high-residual regions. The same model handles both — no separate pipelines.
- Q. Can I cancel anytime?
- Month-to-month on Starter and Pro, cancel anytime. Plant tier has a 12-month commitment in exchange for the on-prem option and dedicated success engineer.
Get in touch
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