xWatts provides an intelligent energy management system that utilizes predictive modeling and real-time data analysis to optimize the performance of energy assets in commercial buildings. By reducing energy waste and operational costs, the platform delivers an average energy savings of over 25% and a fourfold return on investment within the first year.
Funding
$1.9M 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.



CAPAFounders
Product
Problem
Commercial buildings often suffer from energy waste due to inefficient operation of energy assets, leading to increased operational costs and reduced profitability. Manual optimization and lack of real-time insights hinder effective energy management.
Solution
xWatts offers an intelligent energy management system that leverages predictive modeling and real-time data analysis to optimize the performance of energy assets within commercial buildings. The platform connects to existing control systems, ingesting historical and real-time equipment data to train custom prediction models. These models then provide insights and recommendations to reduce energy waste, improve asset performance, and maximize profitability. By automating optimization and providing accurate energy predictions, xWatts helps engineers improve day-to-day operations and make more informed decisions.
Target Audience
The primary target audience includes engineers and operators in commercial buildings and power plants seeking to improve energy efficiency, reduce operational costs, and maximize the profitability of their energy assets.
Features
- Predictive modeling for energy optimization across various systems, including cogeneration (CHP), solar generation, HVAC, geothermal generation, and battery storage.
- Real-time data analysis and monitoring to identify areas of energy waste and inefficiency.
- Secure connection to existing control systems for seamless data ingestion.
- Custom optimization models tailored to specific operational goals and objectives.
- Measurement and verification services to track and validate energy savings.
- Integration with existing building management systems.