MinionLabs provides an IoT‑based energy management platform that continuously monitors device‑level power consumption in commercial and industrial buildings. By aggregating real‑time data and applying machine‑learning analytics, the system delivers actionable insights, fault detection, usage forecasts, and prescriptive recommendations through a web dashboard, helping facility managers reduce energy costs and carbon footprint.
Funding
$3.7M 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 and industrial buildings often lack continuous, device‑level monitoring of energy use, making it difficult to identify inefficiencies, predict maintenance needs, and achieve cost‑effective energy savings without costly manual audits.
Solution
MinionLabs offers an IoT‑based energy management platform that automates traditional energy audits. Sensors installed on equipment feed real‑time consumption data to the Minion Energy Monitor, where advanced analytics—including descriptive, diagnostic, predictive, and prescriptive models—process the information. The system generates actionable reports that highlight waste, forecast future usage, and recommend specific actions to reduce energy costs and carbon footprint. Users can access these insights through a web dashboard, enabling facility managers to prioritize high‑impact savings opportunities and schedule maintenance proactively.
Target Audience
Primary customers are facility managers and energy managers in commercial real estate, industrial plants, and large corporate campuses seeking to lower utility expenses and improve sustainability.
Features
- IoT sensors that capture device‑level power consumption across building systems
- Real‑time data aggregation and cloud‑based analytics engine
- Machine‑learning models providing consumption insights, fault detection, and usage forecasts
- Prescriptive recommendations with step‑by‑step actions for energy reduction
- Web dashboard with visualizations of historical trends, anomaly alerts, and savings projections
- Integration capabilities for existing building management systems via APIs