Artificial intelligence in Ecomanagement is not a marketing term — it is the foundation of our technology.
We apply AI at three levels:Data analytics: the system collects telemetry, analyses operating modes, and identifies hidden patterns and dependencies.
Predictive control: based on historical data, weather forecasts, and facility occupancy, algorithms predict and dynamically adjust control parameters.
Self-learning: the longer the system operates, the more accurately it adapts to the specific characteristics of each building.
In addition, the Ecomanagement team develops proprietary solutions based on large language models (LLMs) and transformer architectures, which:
- analyse technical logs, incident reports, and operational records,
- generate natural-language recommendations for managing engineering systems,
- build energy consumption scenarios and detect anomalies.
As a result, Ecomanagement evolves beyond a traditional automation system into a digital energy efficiency consultant, capable of explaining its decisions and recommending optimal actions in real time.