KenergyAI offers a software‑only platform that cuts HVAC energy use by over 35% by leveraging existing lighting sensors and building management systems. The AI-driven solution analyzes real‑time occupancy data to automatically adjust temperature and airflow, delivering immediate utility savings and reduced carbon emissions without any new hardware or construction.
Funding
Funding not disclosed
Founders
Product
Problem
Many large commercial buildings rely on static HVAC schedules that do not reflect actual occupancy, leading to excessive electricity and natural‑gas consumption and higher utility costs. Retrofitting with new sensors or hardware is costly and disruptive, making energy‑saving upgrades difficult to implement.
Solution
KenergyAI offers a software‑only overlay that connects to existing Building Management Systems (BMS) and smart thermostats via standard protocols such as BACnet. By ingesting real‑time occupancy data from already‑installed lighting sensors, its AI algorithms continuously adjust VAV terminal box settings, temperature setpoints, and airflow to match actual demand. This dynamic control reduces HVAC energy use by more than 35% without any construction, new wiring, or hardware installation. The platform delivers immediate utility bill savings and quantifiable carbon‑footprint reductions while maintaining occupant comfort.
Target Audience
Primary customers are sustainability officers and facility directors of large commercial or institutional buildings that have an existing BMS and seek high‑ROI, zero‑CAPEX energy efficiency solutions.
Features
- Non‑invasive software integration that communicates with most BMS and smart thermostats (Siemens, Johnson Controls, Honeywell, Ecobee) via BACnet
- Real‑time occupancy detection using existing lighting sensor data, eliminating the need for additional hardware
- AI‑driven optimization of temperature setpoints and VAV airflow based on actual building occupancy patterns
- Automatic temperature and airflow adjustments that preserve comfort in occupied zones while minimizing energy use in vacant areas
- Cloud‑based analytics dashboard providing energy savings metrics, carbon reduction reporting, and system performance monitoring