Zendo Energy offers an Energy Operating System (Energy OS) for data centers to manage energy procurement, capacity planning, and sustainability. Its platform uses tech-driven analysis to help data centers adapt to fluctuating AI workloads and energy markets, enabling cost and carbon savings from renewable energy integration.
Funding
Funding not disclosed


Founders
Product
Problem
Data centers face increasing challenges in managing energy consumption due to the unpredictable demands of AI workloads and the volatility of energy markets reliant on intermittent renewable sources. This complexity hinders effective energy procurement, capacity planning, and sustainability initiatives.
Solution
Zendo Energy provides an intelligent control layer, referred to as an Energy Operating System (Energy OS), specifically designed for data center energy operations. This platform integrates energy procurement, capacity planning, and sustainability strategies into a unified interface. By leveraging accelerated, tech-driven analysis, Zendo enables data centers to adapt to fluctuating AI demands and volatile energy markets. The system facilitates the evaluation of savings associated with integrating renewable energy sources like wind and solar, ultimately supporting decarbonization efforts.
Target Audience
The primary customers are data center operators and IT infrastructure managers seeking to optimize energy operations, reduce costs, and improve sustainability performance.
Features
- Unified platform for energy procurement, capacity planning, and sustainability strategy management.
- Accelerated, tech-driven analysis for enhanced accuracy and speed in energy assessments.
- Tools to evaluate cost and carbon savings from integrating renewable energy sources (e.g., wind, solar).
- Smart Procurement module for aligning energy contracts with actual usage patterns.
- Capacity Planning module for forecasting loads, optimizing efficiency, and preventing overprovisioning.
- Reporting module providing ongoing visibility into cost and carbon reduction metrics.