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Engineering Smart & Scalable Energy Solutions for Sapient Industries

Transforming real-time energy insights with GenAI, cloud-native optimization, and intuitive IoT automation for greater sustainability and operational efficiency.

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Intuz Development & Consulting

  • Comprehensive System Audit
  • Generative AI Integration
  • Automated IoT Onboarding Pipeline
  • Backend & API Optimization
  • Database Query Refinement
  • Cloud Storage Cost Management
  • Enhanced Frontend User Experience

Brief Introduction

Sapient Industries is reshaping how commercial buildings manage energy by providing real-time, device-level insights. Focused on reducing costs and carbon footprints, Sapient required a robust engineering partner to address growing data demands, optimize performance, and enhance user experience. Our team helped Sapient scale its backend systems, streamline DevOps workflows, and deploy AI-powered reporting tools — all to ensure smarter, more sustainable energy usage.

By leveraging GenAI, FastAPI, MongoDB, and AWS, Sapient Industries gained real-time, scalable energy intelligence, driving down costs, boosting speed, and making sustainability easy to manage.

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Project Challenges

As Sapient Industries’ client base and the volume of telemetry data grew rapidly, the company faced rising cloud storage expenses and sluggish data queries that slowed down user dashboards. Manual onboarding of IoT devices created inefficiencies and errors, while an outdated frontend limited how clearly energy data could be visualized. Frequent data pipeline lags further affected the delivery of real-time insights. To continue leading in smart energy management, Sapient needed a powerful, scalable solution that addressed these technical roadblocks.

How We Solved Sapient’s Scalability and Performance Challenges

Our end-to-end solutions combined AI, cloud-native engineering, and smart automation to help Sapient Industries overcome infrastructure bottlenecks and deliver real-time, actionable energy intelligence at scale.

GenAI-Driven Reporting Engine

We implemented a powerful GenAI and machine learning engine that automatically analyzes high-frequency telemetry data and generates weekly operational and energy reports. These reports include easy-to-read summaries in natural language, plus intelligent recommendations to help building managers make faster, data-backed decisions. This innovation empowers even non-technical stakeholders to understand and act on complex energy trends.

GenAI-Driven Reporting Engine

AWS S3 Cost Optimization

To tackle soaring cloud storage bills, we performed a deep audit of Sapient’s storage patterns, identified redundant data, and set up automated lifecycle policies. By implementing intelligent tiering and advanced compression, we significantly reduced unnecessary storage costs while ensuring critical energy data remains instantly accessible for dashboards and reports. This strategy delivered sustainable savings month after month.

AWS S3 Cost Optimization

MongoDB Query Optimization

Slow MongoDB queries were hurting dashboard performance and user satisfaction. We thoroughly refactored inefficient queries, redesigned data access patterns, and added optimized indexing to cut down response times. As a result, Sapient’s dashboards now fetch device-level energy data three times faster, enabling real-time updates and supporting the growing demands of large-scale, multi-building telemetry data.

MongoDB Query Optimization

FastAPI Backend Adoption

To improve backend performance and handle high volumes of real-time telemetry data, we migrated Sapient’s heavy-load APIs to FastAPI, a modern Python web framework known for its speed and support for asynchronous execution. This shift allowed parallel data processing, minimized request bottlenecks, and ensured smooth delivery of frequent energy insights without sacrificing reliability or uptime.

FastAPI Backend Adoption

IoT Device Onboarding Automation

Manual onboarding of IoT (Kasa) devices was time-consuming and inconsistent, draining engineering resources. We automated the entire process using Docker containers and CI/CD pipelines that handle device configuration and registration. This reduced the onboarding time per device from about 30 minutes to under 3 minutes — saving hundreds of hours and ensuring new devices are securely and reliably connected.

IoT Device Onboarding Automation

Frontend Visualization Enhancements

The existing user interface was cluttered and slowed down data interpretation for users. We redesigned Sapient’s React-based frontend to deliver cleaner visualizations, intuitive charting, and a clearer information hierarchy. By optimizing how components render and update, users now enjoy near-instant visual refreshes, making complex energy usage data easy to digest and act on at a glance.

Frontend Visualization Enhancements

Real-Time Data Pipeline Fix

Sapient’s high-frequency telemetry data pipeline struggled with bottlenecks and delays. We engineered a resilient, real-time data pipeline capable of handling minute-level data intervals without loss or lag. Advanced caching and robust error handling ensure that live device data is always accurate and available, giving Sapient’s clients dependable, up-to-the-minute energy insights for smarter facility management.

Real-Time Data Pipeline Fix
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Business Impact

  • 30% reduction in cloud storage costs
  • 300% faster data fetch performance
  • Automated device onboarding reduced manual workload by 90%
  • Improved user retention and satisfaction due to intuitive UI redesign
  • Enabled non-technical stakeholders to access insights via AI-generated reports
  • Robust, scalable telemetry ingestion pipeline now supports minute-level granularity
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Technical Specifications

React Native

React Native

CSS

CSS

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