Description
Grid Edge AI is a platform designed to optimize energy usage in commercial buildings, providing significant cost and carbon savings. Founded at Aston University in 2016 by Jim Scott, Dan Wright, and Tom Anderson, the platform connects to existing building systems to reveal inefficiencies and provide actionable insights. With over 2,149 meters connected, Grid Edge AI helps buildings behave better by identifying issues such as out-of-hours boiler spikes and unnecessary weekend operations.
Read More
The platform offers portfolio-level energy tracking, optimized HVAC scheduling, and comfort monitoring, allowing users to spot inefficiencies and track variances. It supports decarbonization reporting and provides recommendations to avoid peak cost periods and shift carbon loads for cleaner energy. Users can expect a typical ROI within 90 days, with potential savings of 15-40%.
Grid Edge AI is not just about data; it empowers users to make informed decisions with the help of a dedicated energy coach. The platform is operational within weeks, requiring only electricity MPANs and a postcode for setup. It is trusted by various sectors, from Victorian schools to modern glass towers, proving its versatility and effectiveness.
The company emphasizes sustainability and transparency, offering a flexible, remote-first work environment. Grid Edge AI is guided by experts, ensuring that users have control over their energy strategies without relying on autonomous systems. The platform's mission is to reduce carbon emissions and energy costs, making it an essential tool for businesses looking to improve their energy efficiency.
- CategoryForecasting & Predictive Analytics
- DeploymentCloud
- PlatformsWeb
Grid Edge AI's Core Features
Portfolio-level energy tracking
Optimized HVAC scheduling
Comfort monitoring and prediction
Actionable recommendations
Carbon load shifting
Grid-connected flexibility revenue
Future-proof energy strategy
Dedicated energy coach support
How to use Grid Edge AI?
Configure: Enter electricity MPANs and postcode
Use: Monitor energy usage and inefficiencies
Optimise: Implement actionable recommendations
Track: Measure impact and savings
Grid Edge AI's Use Cases
- Energy cost reduction
- Carbon emission reduction
- Building performance monitoring
- HVAC optimization
- Decarbonization reporting
