Manufacturing & Supply Chain
Solution Architecture & Integration
ML, Data Engineering & Delivery at Scale

A global energy company adopting sustainability-oriented technologies.

Smart Grid IoT: Real-Time Monitoring, Cloud/Edge Analytics & Modular Rollout

Live smart-grid rollout in 3 months
Real-time monitoring & control
Cloud/edge analytics
Real-Time Monitoring, Cloud/Edge Analytics & Modular Rollout

The Challenge

The client needed to bring IoT into an existing electrical-grid infrastructure to improve efficiency and reliability - enabling real-time monitoring, control and management of distribution and consumption, collecting and analysing high-volume data across heterogeneous devices, ensuring reliable connectivity, scaling smart features affordably, and staying secure and resilient against faults and cyber threats.

What We Did

We deployed an IoT-based grid architecture with sensors and comms for real-time control, and a cloud/edge backend to aggregate, process and analyse grid data for actionable insight. Multi-protocol sensors, meters and actuators were integrated into one unified smart-grid framework, delivered through a scalable, modular rollout that upgrades in phases rather than all at once.

The Impact

Improved grid visibility and control
Better energy management and efficiency
Enhanced customer service and reliability
Future-proofed infrastructure with lower operational overhead
Rolled out in 3 months via a modular, phased model

How We Delivered

Technology stack
WiFi · BLE · Zigbee · Flutter · AWS · sensors & actuators · smart meters.
Team & approach

A 7-member team over 3 months - one system engineer, one software architect, one data engineer, one embedded engineer, one Flutter engineer and two full-stack developers - from requirements and system architecture through sensor deployment and cloud/edge integration.

Inside The Build

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