How We Built a Power Utility Platform for a Europe-Based Startup

Client Overview

A Europe-based energy-tech startup approached us to develop a centralized platform that simplifies electricity distribution tracking and utility consumption for consumers and grid operators. Their goals were clear:

To digitize and visualize real-time energy usage across multiple regions.
To ensure high availability and fault tolerance in data processing.
To enable grid operators to take action based on real-time consumption insights.

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The Challenge

Real-time energy data was scattered across multiple sources and difficult to sync efficiently.
The previous system lacked automation and required manual monitoring of grid activity.
Users couldn’t access a centralized dashboard with real-time utility insights.

They needed a partner who could bring deep technical expertise and help them build this from the ground up.

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Our Solution: Cloud-based Platform

We designed and developed a Power Utility Management Platform that has

We built serverless backend functions that could ingest, process, and store energy metrics instantly.
A user-friendly dashboard using Next.js and Chakra UI, providing actionable insights to grid operators and utility companies.
The entire stack was deployed on Vercel and AWS, ensuring global access, speed, and failover readiness.

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Technology Stack Behind the AI Chatbot

Frontend

Next.js & Chakra UI: Built a fast, responsive, and accessible dashboard interface that works across all devices.

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Backend

Node.js, AWS Lambda & DynamoDB: Created scalable APIs and serverless functions to handle real-time data processing and storage.

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Deployment

Vercel & AWS: Ensured seamless deployments with automatic scaling and global availability.

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How We Did It: Step-by-Step

Requirement Discovery: We collaborated closely with the client's engineering and operations teams to understand the complexities of their energy data.
Architecture Planning: Designed a modular, serverless-first architecture to handle unpredictable data loads and maintain high availability.
Agile Development: Followed 2-week sprint cycles to build, test, and deploy key features such as device monitoring, data visualization, and alert systems.
Integrations & QA: Integrated with third-party APIs for grid metrics and performed extensive load testing to ensure reliability.
Launch & Handover: Helped the client go live smoothly and trained their in-house team for ongoing maintenance.

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Results After Implementation

Operational Efficiency

Before

Manual

After

70% Automated

Manual Reporting Time

Before

4-5 hours per day

After

30 minutes per day

Data Processing Capacity

Before

Limited

After

1M+ data points/week

Dashboard Access

Before

No centralized dashboard

After

Real-time, interactive web dashboard

Data Accuracy & Compliance

Before

High error rates, manual validations

After

99.9% accuracy

How We Built a Power Utility Platform for a Europe-Based Startup

Client Overview

The Challenge

Our Solution: Cloud-based Platform

Technology Stack Behind the AI Chatbot

Frontend

Backend

Deployment

How We Did It: Step-by-Step

Results After Implementation

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