Sensgreen provides a smart building platform that utilizes plug-and-play sensors and AI analytics to monitor indoor air quality, energy consumption, and occupancy levels in real time. This technology enables facility managers to reduce energy costs and improve sustainability by automating HVAC control and optimizing building performance.
Funding
$461K 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.
GVGCFounders
Product
Problem
Many commercial buildings lack comprehensive, real-time insights into their operational performance, leading to energy waste, increased costs, and suboptimal indoor environmental quality. Traditional building management systems often operate in silos, with limited ability to adapt dynamically to changing conditions or integrate data from diverse sources.
Solution
Sensgreen offers a smart building platform that transforms commercial buildings into data-driven ecosystems, optimizing energy consumption, indoor air quality, and overall operational efficiency. The platform utilizes a network of wireless LoRaWAN-based sensors and integrates with existing building management systems (BMS) to collect real-time data on temperature, air quality, energy usage, and occupancy levels. This data is then analyzed using AI-powered analytics to automate HVAC control, optimize building performance, and provide actionable insights for facility and sustainability managers. Sensgreen AI, a new addition to the platform, combines Generative AI, Predictive AI, and Conversational AI to provide tailored automation scenarios, forecast energy usage and carbon emissions, and offer real-time insights through simple queries.
Target Audience
Sensgreen is designed for facility managers, sustainability managers, application engineers, and asset managers in commercial buildings seeking to reduce energy costs, improve indoor air quality, optimize building performance, and meet sustainability targets.
Features
- Real-time monitoring of temperature, humidity, CO2 levels, occupancy, and energy consumption via wireless LoRaWAN sensors
- AI-driven analytics for automated HVAC control, adjusting airflow, cooling, and ventilation based on occupancy and environmental conditions
- Integration with existing Building Management Systems (BMS) using protocols such as BACnet, Modbus, and KNX
- Cloud-based platform accessible from anywhere, providing a unified interface for monitoring and control
- Customizable alerts and notifications for maintenance needs and deviations from optimal conditions
- Generative AI for tailored automation scenarios based on specific building requirements
- Predictive AI for forecasting energy usage, occupancy trends, and carbon emissions
- Conversational AI for easy access to actionable insights on key metrics
- Device Manager for streamlined system integration and management of connected devices
- API for integration with third-party applications and services