AI driven Data Science Platform for Better Business Decisions

ExMetrix Platform

AI driven Data Science Platform for better Business Decisions.

  • production optimization,
  • forecasting,
  • trend predictions,

Our value proposition

We apply unique Big Data and Artificial Intelligence solutions in production and manufacturing industries to:

  • improve processes efficiency,
  • reduce production costs and shorten downtimes,
  • simplify warehouse and order processes,

AI powered technology

We put 20 years of experience in prediction models and optimisation into unique, SaaS product which:

  • connects internal business data with rich industry and economical databases,
  • enables to build unique AI models solving real problems,
  • shortens entire modeling process from months to hours,

Look through database

Explore databases - find quickly a desired variable. Create tailored analytic sets of data. Import own data and integrate it with economic and market data.

  • over 70 mln of data series and more
  • import own data series
  • create data groups for analysis

Analysis of interdependencies

Detect correlations and similarity among data. Identify variables which affects your processes most.

  • unique selection tools
  • correlation and no-linear correlation
  • frequency and periodicity (FFT)


Forecast significant economic, market and demographic phenomena and processes. Predict parameters of your business – demand and supply.

  • unique optimization algorithms
  • simulated annealing
  • neural networks
Zużycie gazu używanego do ogrzewania w Europie w porównaniu do ilości energii wytworzonej z lądowych farm wiatrowych In 2023, Poland’s electricity consumption could be about 7 per cent lower than in 2022 W roku 2023 zużycie energii elektrycznej w Polsce może być o około 7procent niższe niż w roku 2022 By mid-2024, the availability of natural gas in Poland will be preserved Do połowy 2024 roku w Polsce dostępność gazu ziemnego będzie zachowana Power generation from renewable energy sources (RES) significantly explains the price of energy in Poland. The prior prediction of all explanatory variables stabilizes the indications of the energy price forecasting model.