Energy, utilities, and IoT engineering: real-time SCADA / Modbus / MQTT ingestion, predictive maintenance, geofencing, and operations cockpits, for 24/7 critical infrastructure that can't go down.
Most energy operators are running reactive maintenance cycles, paying for truck rolls that could have been avoided with 10 days' warning. Control rooms are a wall of blinking alerts from disconnected systems, no shared context, no predictive signal, no way to prioritise.
Energy and utilities infrastructure runs 24/7 with zero tolerance for downtime. 7Code builds IoT operations platforms that fuse telemetry from thousands of sensors over SCADA, Modbus, MQTT, and custom TCP, predict equipment failures with 10-day lead time, and give control-room operators a single cockpit instead of six screens. Recent work: G42's ESTS fleet-tracking platform deployed at EXPO 2020 Dubai, custom TCP ingestion, geofence rule engine, and real-time map dashboard.
Protocol-agnostic ingestion from SCADA, Modbus, MQTT, and proprietary sensor stacks. We normalise the data so your analysts work with one schema, not fifty.
Per-asset health models trained on historical failure data, maintenance logs, and environmental inputs. Built to give operators actionable 10-day lead time, not binary alerts.
A single geo + schematic view that cross-filters across every data source. One screen, one operator, all the context.
Load forecasting, consumption benchmarking, loss analysis, and regulatory reporting, built on the same data platform as your operations tooling.
Demand response, renewable dispatch, and load balancing algorithms that reduce energy cost and carbon intensity simultaneously.
Cybersecurity frameworks for operational technology, data sovereignty controls, and audit tooling for regulatory submissions.
Every engagement follows this sequence, adapted to your constraints, not the other way around.
We map every data source, protocol, and cadence before building anything. Garbage in, garbage out, we spend week one cleaning the signal.
We train the predictive models on 12–24 months of historical data before go-live, so operators get meaningful predictions from day one, not after six months of production data collection.
We run operator shadowing sessions in the control room and iterate on the UI until triage time drops measurably in simulation. We don't ship until it does.
Protocol-agnostic ingestion: SCADA, Modbus (RTU + TCP), MQTT, OPC UA, custom TCP, and proprietary sensor stacks. We've built the device TCP server behind G42's ESTS fleet platform at EXPO 2020 Dubai, real-time telemetry, geofence rules, and trip event detection across the expo grounds. We normalise into a single canonical schema so analytics and ML pipelines downstream work with one model, not fifty.
Yes. We train per-asset health models on historical failure data, maintenance logs, and environmental inputs, with the goal of giving operators actionable 10-day lead time, not binary alerts. The models are paired with a feedback loop so prediction accuracy improves as new failure events are labelled.
Yes. ESTS for EXPO 2020 ran a custom TCP server ingesting live telemetry across thousands of vehicles, with geofence rule evaluation in near real time and trip playback for incident reconstruction. We architect for 24/7 critical-infrastructure SLAs, no scheduled downtime, automated failover, and full observability.
Yes, NERC CIP, IEC 62443, and ISO 27019 for the OT side, plus the IT-side compliance that matters for the data and reporting layer. We work alongside your security team from week one and treat segmentation between IT and OT as a hard architectural constraint.
Six to nine months for a focused operations cockpit with predictive analytics. ESTS at EXPO 2020 ran 18 months of focused build plus 6 months of production maintenance, a full multi-tenant fleet platform at expo scale.
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