Define
Survey the current state, intended outcome, constraints and evidence obligations.
Industrial intelligence with engineered boundaries
AI & Conformal Intelligent Systems Integration
Private, edge and production AI integrated around real machine states, operating rules, quality criteria and human approval—not isolated demonstrations disconnected from the control system.
The engineering problem
Make the complete system supportable
Industrial AI must fit the process it serves. Axiotech uses a conformal-systems approach: intelligent functions are shaped around defined data contracts, deterministic control, safety boundaries, operating envelopes, traceability and escalation to people.
Capability
What Axiotech can undertake
- Edge and on-premise AI architecture for factories, machines and engineering teams
- Machine vision, anomaly detection, predictive maintenance and quality intelligence
- Private engineering assistants grounded in approved manuals, code, alarms and procedures
- Human-in-the-loop decision support with confidence, provenance and fallback behaviour
- Integration with TwinCAT, OPC UA, ADS, historians, databases and enterprise services
- Model monitoring, change control, audit evidence and operational performance assessment
Project evidence
Typical deliverables
- Use-case, risk and value assessment
- Data, model, integration and operating-boundary architecture
- Proof of concept using representative production data
- Validation cases, acceptance criteria and monitoring plan
- Deployment, rollback, governance and support documentation
Delivery model
Assessment, design, proof, commissioning and support
The scope can begin with a focused review or proof of concept, then move through agreed technical and commercial gates. Axiotech documents assumptions, interfaces, responsibilities, tests and handover so the result can be operated and maintained after commissioning.
Deliver
Engineer and integrate the agreed system with controlled reviews and acceptance gates.
Sustain
Commission, train, hand over and provide planned remote or onsite support.
Next step
Describe the machine, software estate or production outcome.
We will identify a sensible first assessment or work package.