Intelligent
energy management
An AI-powered energy management system. It lowers electricity bills by planning the battery from forecasts of production, consumption and dynamic energy prices. A live price forecast is below.
Our Solutions
Solutions for every energy market segment
Solutions for homes with PV and a battery, for industrial and commercial sites, and for installation companies.
Smart Home
Intelligent home energy management. Integration with Loxone, PLC and home automation with AI predictions.
Learn MoreFor Business
Battery planning for industrial and commercial sites: market prices, the capacity charge and savings reports.
Learn MoreAI Predictions
Energy price, PV and wind production, and grid load forecasts. For DSOs and industrial facilities.
Learn MoreFor Installers
Connect clients' installations to EnergyPal.AI through the API and view the installations you have access to.
Learn MoreAI Price Forecast
Predict energy prices in advance
Below is our AI forecast of the Polish market energy price (RCE), built from historical data and market factors. The forecast is recomputed every 4 hours and the model is retrained daily.
Energy Price Forecast
7 days history + 7 days forecast • PSE Market
Blog
Latest articles
Analyses and case studies based on real energy data.
The battery that charges from the grid: a real month at an industrial site
An industrial site with 169 kWp of PV and a 672 kWh battery paid PLN 5,513 less in July 2026 than it would have without the battery. Not a simulation - a month that actually happened. Almost 40% of the saving comes from the capacity fee, and the battery charged 85% from the grid.
Read more
When a dynamic tariff does NOT pay off
An honest case study of a net-metered prosumer. On 35,000 real measurements we show a house for which switching to a dynamic tariff costs almost PLN 8k a year - and a battery only pays off once net metering expires.
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Human vs algorithm: manual battery control vs AI
A commercial site ran its 1 MWh battery by hand for a month. We compared its manual schedule with optimal AI control on the very same real data - and measured how much more it could save: +34%.
Read moreContact
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HI-END TECH Spółka z ograniczoną odpowiedzialnością Spółka komandytowa, ul. Pod Strzechą 29, 31-352 Kraków · KRS 0000724989 · NIP 6772433268 · Company details
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