AI at the plant. Data inside the border.
Industrial IoT works when inference runs close to the OT layer and the data never leaves regulated infrastructure. HyperEdge with HyperAI puts GPU inference next to your sensors — with sovereign data residency designed for PDPL, NCA, and sectoral OT rules.
OT to AI in one sovereign loop
Sensors and PLCs feed an edge gateway that bridges OPC UA / MQTT into HyperEdge. HyperAI runs vision, anomaly, and forecasting models on local GPUs. Inference data, model weights, and OT logs stay inside the country, with optional replication to a second sovereign region for DR.
Three things plant operations care about
Industrial IoT projects fail on three things: round-trip latency to a remote cloud, compliance gaps when OT data crosses borders, and proprietary IIoT stacks that lock the operations team in. HyperEdge + HyperAI is built around all three.
Inference at the plant
Vision and anomaly models run on GPUs co-located with the OT layer — sub-100ms inference for safety-critical and quality-critical workloads. No round trip to a hyperscaler region.
Sovereign by design
OT logs, training corpora, and model weights stay inside the regulated perimeter. Compliance documentation aligns with PDPL, NCA, and sectoral OT rules — delivered with the deployment.
Open IT/OT integration
OPC UA, MQTT, Modbus, REST — connect the protocols your plant already speaks. No proprietary IIoT runtime, no per-device licence escalation, no vendor lock-in at the OT/IT boundary.
Where industrial AI pays back fastest
Patterns we see across MENA refining, manufacturing, ports, and utilities — built on the same architecture, optimised per industry.
Refining + petrochemicals
Vision-based inspection, equipment-health forecasting, energy optimisation. Sovereign data residency for sectoral rules, no inference data crossing borders.
Manufacturing
Defect detection on production lines, predictive maintenance on rotating assets, OEE forecasting. Local GPUs sit beside the line, models retrained on plant-floor data without exporting it.
Ports + logistics
Container-yard vision, crane telemetry, perimeter and safety analytics. Multi-site OT data unified into a sovereign control plane without standing up a hyperscaler tenancy.
Utilities + smart grid
Demand forecasting, asset-health AI on substations, fault prediction. Regulated grid data stays inside national infrastructure, not in a foreign-incorporated cloud region.
Oil + gas
Pipeline-leak detection, drill-fleet monitoring, refinery energy optimisation. SCADA-aligned integration; OT logs and inference history retained on-prem or in a sovereign DC.
Industrial cybersecurity
OT/IT segmentation, lateral-movement detection, asset-discovery for the IT/OT boundary. AI-assisted SOC visibility into the environment regulators care most about.
What plant CIOs ask first
Does HyperEdge run inside the plant or in a regional DC?
Which OT protocols do you integrate with?
Where do the AI models come from?
How does this compare to AWS IoT Greengrass or Azure IoT Edge?
What about cybersecurity at the OT/IT boundary?
Bring the AI to the plant — not the plant to the AI.
A 30-minute discovery call covers your OT environment, the workloads that need real-time inference, the regulatory perimeter you’re operating under, and how a HyperEdge + HyperAI deployment would slot in.
