IoT and Edge Engineering for HVAC Optimization

The Story

The client engaged FiftyFive Technologies to transform its traditional HVAC infrastructure into an intelligent, fully automated, and energy-efficient system. The objective was to redesign climate control using IoT sensors, edge-based machine learning, and real-time device-level decision-making. FiftyFive deployed a dedicated engineering team covering IoT development, ML engineering, backend APIs, cloud architecture, and QA. The engagement focused on full-cycle delivery—from architecture, model deployment, and integration to testing and optimization.

The client is an organization focused on modernizing large-scale building climate systems, seeking to implement IoT, edge computing, and data-driven automation to reduce energy costs and improve occupant comfort.

Abhay Mathur

Head of Mobile Development

Challenges

• > Static HVAC logic lacking data-driven and adaptive control mechanisms.

• > No device-level capability for real-time temperature and humidity adjustments.

• > High operational energy consumption due to inefficient system behaviour.

• > Limited visibility into room-level environmental patterns and optimization opportunities.

• > Need for edge-ready ML models capable of running directly on HVAC-connected devices.

The Solution

• > Engineered predictive temperature and humidity models and optimized them for edge deployment using Ekkono’s ML framework.

• > Integrated IoT sensors to stream real-time room-level climate and device data for continuous monitoring.

• > Converted ML outputs into device-level control logic enabling autonomous HVAC adjustments with minimal latency.

• > Developed backend services and data pipelines to process environmental data, trigger optimizations, and maintain system scalability.

• > Performed Exploratory Data Analysis (EDA) to identify actionable operational patterns and refine HVAC decision rules.

• > Conducted iterative QA and system validation to ensure reliability across diverse building conditions.

The Outcome

FiftyFive delivered a fully automated, IoT-enabled HVAC optimization system capable of real-time climate control. The edge-powered decision models reduced energy consumption by enabling targeted room-level adjustments, resulting in significant operational cost savings. Occupant comfort improved through stable temperature and humidity regulation, increasing productivity and overall facility satisfaction. Continuous data insights supported ongoing optimization, giving the client a scalable and future-ready climate control foundation while demonstrating clear ROI through reduced energy expenditure and higher system efficiency.