SkillsBase Forge - early access
Train custom computer vision models on your specific faults. Deploy to your team's phones in days, not months.
No data scientists, no consultants - just your team.
No commitment. We'll reach out when early access opens.
Step 01 · Label your Images What labelling means You're teaching the model what each fault looks like by drawing a box around it and giving it a name. About 50 examples per fault is usually enough to start. The same image can have multiple fault types tagged.
Draw a box, name the fault, and repeat - no ML background needed.
Step 02 · Train your Model What training does When you press Train, Forge sends the labelled images to our cloud, fine-tunes a vision model on your specific faults, and runs validation. No data science required - pre-checks, training, and packaging happen automatically. Most models are ready in under an hour.
No infrastructure,
no data scientists,
just press train.
One tap, every inspector, every device.
The journey, end to end
Faults you care about, around 50 examples per type. No labelled dataset, no ML team.
Four point-and-click steps in the Forge portal. No code, no consultants, no infrastructure to set up.
Flagging faults in seconds, working offline, and getting smarter with every correction your team makes.
What to expect
In the box
Label, train, and manage models in the Forge portal. Push them to field teams through our iOS and Android app - or into your existing inspection tools via REST API.
iOS · Android · REST APIData you'll need
No datasets, no thousands-of-samples minimum. Box about 50 examples of each fault type and most teams reach 90%+ detection on common classes. Accuracy climbs with every correction.
~50 images / classAccuracy you can trust
Low-confidence predictions are flagged for inspector review instead of silently accepted. You set the threshold. Humans stay in the loop for the edge cases that matter - and every review feeds the next training round.
Confidence scoring · Human-in-the-loopKeeps getting smarter
Add new fault classes, correct mistakes, or push a retrained model over-the-air to every phone and camera. Model drift gets caught before it bites - updates ship in minutes, not months, with zero device touching.
One-click retrain · OTA updatesHow we compare
Most computer-vision tools were built for ML teams shipping cloud APIs. Forge is built for inspection teams shipping models to phones in the field.
| SkillsBase ForgeCustom CV for field inspection | RoboflowGeneric CV platform | LandingLensIndustrial visual AI | Vertex AI / Custom VisionHyperscaler ML | In-house / consultancyBuild it yourself | |
|---|---|---|---|---|---|
| Built for field inspectionvs. generic CV | Yes | Generic | Manufacturing only | Generic | Custom build |
| End-to-end no-codeincl. deploy to inspectors | Yes | Deploy via SDK | Integration via API | Code required | All custom |
| Inspector mobile appiOS & Android, branded | Included | Edge SDK only | Cloud / API-first | Edge runtimes only | Build it yourself |
| Offline on the devicetunnels, basements, no signal | Yes, runs on phone | Edge devices, not phone | Cloud-first | Edge runtime, you wire it | Depends on the build |
| Time to first deployed model | Days | Weeks | Weeks | Weeks to months | 3 to 6 months |
| Data to startper fault class | ~50 images | Hundreds to thousands | Hundreds | Thousands | Thousands |
| Confidence + human-in-the-loopbuilt into the workflow | Built in | Build it yourself | Some review tooling | Build it yourself | Build it yourself |
Comparison reflects publicly listed product features and pricing as of April 2026, drawn from Roboflow, LandingLens, Azure Custom Vision, and Google Vertex AI. All trademarks property of their respective owners.
The platform
Most tools stop at labelling. SkillsBase Forge takes you all the way to mobile deployment - no code, no consultants.
Classification, detection, OCR, counting. Train models on your specific use case - no data science team needed.
Drag-and-drop FlowBuilder creates inspection workflows your team runs on their phone. Publish in minutes.
Inspect in dead zones. Full flow execution without signal. Results sync automatically when you're back online.
Industries
Early access
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