Emaldo offers AI‑driven battery energy storage systems for commercial and industrial sites, automatically optimizing charging and discharging based on consumption patterns, solar forecasts, and real‑time electricity prices. The solution reduces utility costs through peak‑shaving, load‑shifting, and price arbitrage, provides backup power during outages, and enables participation in grid‑service markets for additional revenue.
Funding
$9.7M 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 operators face volatile electricity prices, strict CO₂ regulations, and the hidden cost of unused battery capacity that could generate revenue through grid services. Without an intelligent storage solution, they incur higher energy bills, risk power outages, and miss out on market incentives.
Solution
Emaldo provides AI‑driven battery energy storage systems (BESS) tailored for commercial and industrial sites. The integrated Emaldo AI learns a facility’s energy consumption patterns, forecasts solar generation, and monitors real‑time electricity prices to automatically optimize charging and discharging. By shifting load to off‑peak periods, shaving peak demand, and performing price arbitrage, the system lowers utility bills and reduces demand‑charge penalties. When paired with on‑site solar, excess generation is stored for later use, maximizing self‑consumption and enhancing energy independence. The BESS also participates in ancillary grid markets—such as frequency regulation and capacity payments—delivering a predictable revenue stream while supporting grid stability. All operations run autonomously, with backup power provision during outages and a web dashboard for performance monitoring.
Target Audience
Primary customers are commercial and industrial property owners and operators—such as factories, warehouses, data centers, and large retail sites—who have significant electricity loads and may already have on‑site solar generation.
Features
- AI‑powered energy management that forecasts solar output, consumption, and market prices to maximize cost savings
- Automated peak‑shaving and load‑shifting to reduce demand charges under time‑of‑use tariffs
- Real‑time price arbitrage that charges when electricity is cheapest and discharges when prices peak
- Integrated backup power that seamlessly switches to battery supply during grid outages
- Grid‑services participation (frequency regulation, capacity payments) generating additional revenue
- Compatibility with existing solar PV installations to store excess generation for later use
- Cloud‑based analytics and a user dashboard for monitoring performance, earnings, and system health