Arcestra provides a software platform that monitors and optimizes energy use in data centers running AI workloads, turning hidden waste into measurable cost savings without affecting compute performance or requiring hardware changes. By delivering real‑time visibility into power consumption of cooling, UPS, and distribution systems, it helps operators reduce electricity costs and improve overall efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Data centers running AI workloads waste 12–25% of their energy, and operators often lack precise visibility into excess power consumption across cooling, UPS, and power‑distribution systems. This invisibility drives rising electricity costs and makes ESG compliance difficult.
Solution
Arcestra provides an operational control layer that continuously measures power usage across cooling, UPS, and power‑distribution equipment in AI‑focused data centers. The platform isolates the excess watts generated by AI workloads without altering compute performance or requiring hardware replacements. Real‑time analytics deliver granular insights that enable operators to pinpoint inefficiencies and apply targeted optimizations. Savings are expressed in concrete electricity‑cost terms and can be reported for ESG and regulatory compliance. Integration is achieved through standard APIs that connect to existing data‑center management tools, allowing automated decision‑making and reporting. Operators can convert previously invisible waste into measurable profit while maintaining service levels.
Target Audience
Primary customers are data‑center operators that run AI workloads, including hyperscale cloud providers, colocation facilities, and enterprise data centers seeking to reduce energy waste and meet ESG requirements.
Features
- Continuous, high‑resolution monitoring of power consumption for cooling, UPS, and power‑distribution systems
- Real‑time analytics that attribute excess energy specifically to AI workloads
- Non‑intrusive integration that works with existing infrastructure and does not impact compute performance
- Automated efficiency recommendations and control actions for equipment optimization
- Quantified cost‑saving calculations presented in electricity dollars and ESG metrics
- API access for seamless connection to data‑center management platforms and reporting systems
- Dashboard visualizations that support operational decisions and compliance documentation