Ondřej Rolník

The product portfolio of our company is divided into three areas. CzechMath Solutions, EnergoMentor and EnergoMachine.  CzechMath Solutions offers advanced solutions in data analysis, prediction and optimization using machine learning and mathematical modeling. Our main areas of focus include: Time Series Analysis - We predict time series trends from simple smoothing methods to sophisticated machine learning models., Anomaly detection - We identify outliers in individual and related time series and in time-independent data., Optimization - We develop algorithms for efficient use of resources such as energy, finance, and labor., Simulation models - We create digital twins and system models to analyze and optimize complex processes. EnergoMentor specializes in providing independent energy studies to facilitate decision making and help find optimal solutions for clients' energy portfolios. With accurate calculations and detailed energy analyses, we cover a variety of sectors including electric vehicles, commercial real estate, industrial sites, cities and municipalities, residential buildings, single-family homes and local energy concepts.  EnergoMachine is a robust cloud-based application for intelligent control of large-scale energy systems using artificial intelligence and predictive algorithms. It enables power optimization, battery storage integration and flexible load management for energy suppliers, businesses and energy communities. Through automation and continuous learning from data, it helps reduce costs and increase efficiency without the need for in-house infrastructure.