Ento provides an AI-powered energy management platform that integrates with existing building management systems to automate real-time energy consumption analysis and identify savings opportunities. By enabling energy teams to document results and develop data-driven strategies, Ento helps public and commercial buildings optimize energy use and improve indoor air quality while ensuring compliance with regulations.
Funding
$4.5M 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
Many public and commercial buildings struggle to efficiently manage energy consumption due to disparate data sources, manual analysis processes, and a lack of real-time insights. Identifying and prioritizing energy-saving projects, documenting results, and ensuring regulatory compliance can be time-consuming and complex.
Solution
Ento offers an AI-powered energy management platform that integrates with existing building management systems (BMS) to automate real-time energy consumption analysis and identify savings opportunities. The platform connects to various data sources, including utility data and existing hardware, to provide a comprehensive view of energy usage. Ento's AI algorithms analyze energy consumption patterns, identify potential savings, and prioritize projects based on ROI. The platform also automates the calculation of cumulative energy savings, adhering to the International Performance and Verification Protocol (IPMVP), and helps improve indoor air quality by optimizing HVAC systems based on actual needs.
Target Audience
Ento primarily targets energy teams in public and commercial buildings seeking to optimize energy use, improve indoor air quality, and ensure compliance with regulations.
Features
- Integration with existing BMS and connectivity to over 300 meter providers, technologies, data hubs, data collectors, and energy platforms
- Real-time energy consumption analysis and automated identification of energy-saving opportunities
- AI-powered algorithms that optimize HVAC systems to improve indoor air quality and reduce energy consumption
- Automated calculation of cumulative energy savings based on the International Performance and Verification Protocol (IPMVP)
- Prioritization of energy-saving projects based on ROI
- Collaboration tools for energy teams to document results and develop data-driven strategies
- Compliance monitoring with regulations and standards