Whisper Energy provides AI‑enabled sensors that retrofit onto building electrical and HVAC circuits to capture real‑time, high‑resolution energy data. The data streams to a cloud platform where machine‑learning models detect anomalies, benchmark performance, and automate control actions, giving facility managers live dashboards, alerts, and compliance‑ready reports to reduce energy waste.
Funding
$30K 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
Commercial buildings often lack continuous, granular visibility into energy usage, making it difficult for facility managers to identify waste and implement timely efficiency measures. Traditional metering systems provide only coarse, delayed data, leading to missed savings opportunities and higher operational costs.
Solution
Whisper Energy offers AI‑native sensor hardware that integrates directly into building electrical and HVAC systems to capture high‑resolution energy data in real time. The sensors feed a cloud‑based analytics platform that applies machine‑learning models to detect anomalies, benchmark performance against similar assets, and recommend actionable adjustments. Facility managers can view live dashboards, receive automated alerts, and trigger control actions such as load shedding or equipment scheduling without manual intervention. The platform also generates compliance‑ready reports and integrates with existing building management systems to streamline energy‑saving workflows.
Target Audience
Primary customers are facility managers and energy engineers at commercial real‑estate owners, property management firms, and large corporate campuses seeking to reduce operational energy costs.
Features
- Compact, AI‑enabled sensors that retrofit onto existing power and HVAC circuits for plug‑and‑play deployment
- Real‑time data streaming with edge analytics to filter noise and reduce bandwidth usage
- Machine‑learning algorithms that identify inefficiencies, predict equipment failures, and suggest optimization setpoints
- Automated control interface that can adjust lighting, HVAC, and other loads based on analytics insights
- Web‑based dashboard with customizable visualizations, alerts, and exportable compliance reports
- Open APIs for integration with popular building management and IoT platforms