Aeroloop AI provides hybrid cooling orchestration software for data centers, optimizing the use of multiple cooling systems to reduce energy consumption and improve operational efficiency. The platform uses AI to dynamically manage cooling assets based on real-time conditions, helping operators lower their environmental impact and operational costs. This approach enables more sustainable and cost-effective data center operations.
Funding
Funding not disclosed
Founders
Product
Problem
Data centers face rising energy costs and increasing pressure to meet sustainability targets, while traditional cooling management often relies on static rules and manual intervention. This leads to inefficient energy use, higher operational expenses, and a larger carbon footprint, especially as computing density and heat loads continue to grow.
Solution
Aeroloop AI provides a hybrid cooling orchestration platform that intelligently coordinates diverse cooling systems—such as air handlers, chillers, and free-air cooling—in real time. The software uses AI-driven algorithms to analyze live operational data, including server load, weather conditions, and equipment performance, to automatically adjust cooling output for optimal efficiency. By continuously balancing multiple cooling sources, Aeroloop AI reduces energy consumption while maintaining safe operating temperatures. The platform integrates with existing building management systems and IT infrastructure, enabling seamless deployment without major hardware changes. This results in lower power usage effectiveness (PUE) and a more sustainable data center footprint.
Target Audience
Primary customers are data center operators, colocation providers, and enterprise IT teams managing on-premises or edge facilities who are focused on reducing energy costs and meeting sustainability goals.
Features
- AI-driven orchestration engine that dynamically optimizes the mix of cooling assets based on real-time sensor data and predictive load forecasting
- Integration layer compatible with common building management systems and IT monitoring tools for centralized control
- Automated fault detection and diagnostics to identify underperforming equipment and prevent thermal events
- Customizable policy engine that allows operators to prioritize energy savings, carbon reduction, or thermal headroom
- Real-time dashboards and reporting that track energy savings, PUE trends, and carbon emissions