LEARN / EXPLORE / VERIFY
From AI tools to real-world industrial systems
Smart Tools began by cataloguing AI tools and software. Industrial AI connects those technologies to physical work: visual inspection, manufacturing workflows, on-device computing and autonomous systems.
Start with the technology you understand, identify the application, then review companies and their evidence. Supplier selection and project inquiries belong at the next step, once the requirement is clear.
Technology and application
| Technology / role | Industrial application / evidence to check |
|---|---|
| Computer vision | Read objects and images; define an inspection pipeline. |
| Edge AI | Run inference near the sensor; assess compute and data constraints. |
| Automation | Coordinate work, software decisions and human review. |
| 3D / digital twin | Separate concepts, captured models, engineering data and operating state. |
| Autonomous systems | Connect sensing, decisions and physical action. |
| UAV systems | Map the mission to payload, compute, control and communications. |
Define the requirement
- What physical task and result do you need?
- What evidence would show the system works in your environment?
- Which work needs a supplier, an integrator or a field operator?
Turn a supplier change into a reviewable decision
Compare supplier snapshots and prepare evidence for the next step
Continue learning
From technology to a product: APIs, SDKs and development specs
Explore 149 industrial interfaces and product assessments
- Roboflow Inference — Inspection image triage
- Clarifai API — Visual asset classifier
- Google Cloud Vision API — Equipment label reader
- Amazon Rekognition — Site image index
- Azure Vision — Legacy vision migration review
- Ultralytics YOLO — Defect candidate detector
Explore real capabilities
The coordinator confirmed that existing customers have joined the alliance on 7 October 2026. Research candidates keep their separate status; technical qualification remains specific to the model and project.