Grid Edge provides AI-driven energy optimization and building management solutions that enable commercial buildings to achieve over 20% carbon reduction and a typical return on investment in under six months. The platform simplifies complex energy data analysis, allowing businesses to effectively manage rising energy costs and meet net zero targets through actionable insights and automated energy consumption adjustments.
Funding
$7.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Commercial buildings face increasing pressure to reduce carbon emissions and manage rising energy costs, but often lack the time and resources to analyze complex energy data effectively. Meeting net-zero targets and adapting to changing energy regulations adds further complexity to building management.
Solution
Grid Edge offers an AI-powered energy optimization platform that simplifies energy data analysis and enables commercial buildings to reduce carbon emissions and energy consumption. The platform provides building-level insights by turning meter data into digestible dashboards, and offers deeper insights into energy savings opportunities through its Edge2X system. Edge2X identifies actions to save energy without impacting operations or user comfort, and provides monitoring and alerting features to visualize energy data and track portfolio-wide savings. The system connects securely to existing Building Management Systems (BMS) and uses machine learning algorithms to drive continuous performance improvements.
Target Audience
The primary target audience includes commercial building operators, energy managers, and sustainability professionals seeking to reduce carbon emissions, manage energy costs, and meet net-zero targets.
Features
- Building-level insights dashboard for visualizing energy consumption from meter data
- Edge2X system for deeper analysis of energy savings opportunities
- Automated identification of energy-saving actions without impacting operations
- Monitoring and alerting features for real-time visibility of energy usage
- Portfolio savings tracking and prioritization
- Secure data gateway for connecting to existing BMS
- Machine learning algorithms for continuous performance improvement
- ISO27001 certified data security standards