Solwena offers an AI-driven Building Energy Management System (BEMS) that utilizes real-time data from sensors to optimize energy consumption in various facilities, including offices and public buildings. This system enables users to reduce energy costs by up to 30% annually while ensuring a comfortable indoor environment through precise control of HVAC systems based on occupancy and environmental conditions.
Funding
$2.6M 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 facilities, including offices, schools, and public buildings, struggle with inefficient energy consumption due to fluctuating occupancy, diverse operational needs, and a lack of real-time insights. This leads to inflated energy costs, difficulty meeting sustainability goals, and challenges in maintaining optimal indoor environmental quality.
Solution
Solwena offers Percee, a Building Energy Management System (BEMS) that leverages real-time sensor data and AI-powered algorithms to optimize energy usage across diverse building types. The system monitors and controls HVAC, lighting, and other technical systems, adapting to user behavior, occupancy patterns, and weather conditions. Percee provides a comprehensive platform for remote management, energy monitoring, and reporting, enabling building managers to identify inefficiencies, automate adjustments, and promote sustainable practices. By implementing a virtual operator that responds to real-time changes and predicts future needs, Percee ensures both energy savings and a comfortable indoor environment.
Target Audience
The primary target audience includes building managers and facility operators in offices, schools, public buildings, sports facilities, and warehouses seeking to reduce energy costs, improve building performance, and meet sustainability targets.
Features
- Comprehensive platform for managing and controlling HVAC automation with a virtual AI operator
- Real-time energy monitoring and management, adapting to operational behaviors, weather conditions, and tariff changes
- Integration of a "power watch" function to avoid exceeding the contracted power
- Customizable software with algorithms that optimize energy consumption, accessible via mobile and web applications
- Hardware components including sensors for temperature, humidity, and light, as well as controllers and relays for managing lighting, climate control, and heating
- Monitoring and optimization of temperature, humidity, CO2 levels, and TVOC in key areas
- Integration with existing Building Management Systems (BMS)
- Support for sustainability goals through energy consumption and greenhouse gas emissions monitoring, with transparent data for ESG reporting