Industrial IoT (IIoT)
Connect machines and process data to improve visibility, maintenance planning, and operational decision making.
Delivery profile
Coverage
Across KSA plants
01
Execution mode
On-site + remote
02
Focus
High uptime results
03
Core capabilities
Built for your process reality
Capability modules are selected and combined based on your machine condition, controls maturity, and uptime targets.
Module 01
Machine data acquisition architecture
Module 02
Edge connectivity and protocol integration
Module 03
Real-time dashboards and KPI streams
Module 04
Condition monitoring data pipelines
Module 05
Alerting and exception workflows
Module 06
Scalable integration roadmap planning
Execution flow
Practical automation execution
A stage-gated model keeps scope controlled and deployment risks low while maintaining production continuity.
Stage 01
Use-case alignment
Prioritize business and maintenance outcomes.
Stage 02
Data architecture
Define data sources, transport, and storage approach.
Stage 03
Integration
Connect assets and validate data quality end to end.
Stage 04
Operationalization
Deploy dashboards, alerts, and support handover.
Deliverables
What you receive after implementation
Output 01
Clear technical documentation for maintenance and future upgrades
Output 02
Validated control logic and communication pathways before handover
Output 03
Structured commissioning records for QA and audit traceability
Output 04
Operational recommendations to reduce repeat faults and downtime
Phase 01
Discovery
Plant walkthrough, pain-point mapping, and control baseline.
Phase 02
Engineering
Logic design, integration planning, and simulation checks.
Phase 03
Deployment
Safe cutover strategy with staged on-site validation.
Phase 04
Stabilization
Performance follow-up and optimization backlog.