Gentle Energy provides energy efficiency optimization services for buildings and facilities using proprietary technology. Their Etamate® solution integrates Fluxuay® self-powered sensors for real-time data collection and analysis. This data feeds into the Etamate® AI engine, which utilizes nTorque inverter control technology to maximize energy efficiency.
Funding
$2.1M 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
Buildings and facilities often operate with suboptimal energy efficiency due to a lack of real-time data analysis and automated control of equipment. This leads to increased operational costs and a reduced capacity to monitor and manage energy consumption effectively.
Solution
Gentle Energy provides the Etamate® platform, an integrated solution for enhancing building and facility energy efficiency. The platform leverages energy harvesting sensors, specifically the Fluxui® self-powered sensors, to collect real-time operational data. This data is then processed by the Etamate® AI engine, which utilizes a continuously learning AI model to analyze equipment status, production output, and power usage. The insights generated are used to optimize energy performance through the nTorque inverter control technology, delivering sustained energy savings and improved operational visibility.
Target Audience
The primary customers are facility managers, building operators, and energy consultants seeking to improve energy performance and reduce operational expenditures in commercial and industrial facilities.
Features
- Fluxui® energy harvesting sensors for self-powered, real-time data acquisition from equipment.
- Etamate® AI engine featuring a continuously learning model for time-series data analysis.
- Conversion of raw sensor data into actionable insights on equipment operational status, production volume, and power consumption.
- nTorque inverter control technology for automated equipment optimization based on AI-driven analysis.
- Continuous learning capabilities of the AI model to ensure ongoing accuracy and adaptation to changing operational parameters.
- Energy harvesting technology derived from research into vibration-to-electricity conversion, expandable to various energy sources like current, magnetic fields, and light.