DABBEL provides an AI‑driven software platform that integrates with existing building management and HVAC systems to automatically optimize energy use, delivering around 20% annual savings without additional hardware or tenant disruption. The solution includes a data‑rich Pre‑Check audit, continuous predictive control, and a cloud dashboard for real‑time analytics, fault detection, and compliance reporting, helping commercial property owners and facility managers meet ESG and regulatory targets.
Funding
$4.4M 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.
1OTGFounders
Product
Problem
Commercial buildings often rely on legacy HVAC systems that operate inefficiently, leading to high energy consumption, elevated CO₂ emissions, and difficulty meeting tightening sustainability regulations. Facility managers lack a simple, cost‑effective way to continuously optimize these systems without extensive retrofits or manual intervention.
Solution
DABBEL offers an AI‑driven software platform that integrates with existing building management and HVAC control systems to automatically adjust operation parameters for optimal energy performance. The solution begins with a data‑rich Pre‑Check that models the building’s energy flows, identifies waste, and projects savings. Once deployed, the software continuously monitors sensor data, predicts demand, and executes proactive control actions, reducing annual HVAC energy use by an average of 20 % while maintaining occupant comfort. Results are delivered through a cloud dashboard that provides real‑time analytics, compliance reporting, and alerts, enabling operators to meet ESG goals and regulatory targets without installing new hardware or disrupting tenants.
Target Audience
Primary customers are commercial real estate owners, facility management teams, and corporate sustainability officers responsible for operating and optimizing large‑scale office, retail, or institutional buildings.
Features
- Seamless integration with existing BMS/HVAC controllers—no additional hardware required
- AI‑based predictive control that continuously optimizes temperature, ventilation, and load scheduling
- Pre‑Check energy audit that quantifies baseline consumption and forecasts savings
- Cloud‑hosted analytics dashboard with real‑time performance metrics, trend analysis, and compliance reporting
- Automated fault detection and proactive correction of HVAC irregularities
- Scalable architecture suitable for single sites or multi‑building portfolios