We create smart tools that elevate and strengthen Your company's competitiveness.
Our tools adapt to Your company's needs and enhance the comfort of Your employees.
Interdisciplinary is at the core of our team. We draw experience from working in the areas of manufacturing, logistics, business analytics, IT, and R&D activities in AI and sciences.
Mikolaj Kolodziejczak comes from the fields of manufacturing and logistics. Based on his passion for optimization analysis, in 2017 he began his adventure with AI by implementing its elements at his then employer, VW Poznań. Since then, he has been continuously working on projects implementing AI-based solutions in industry and services. Together with Andrzej Soldaty, he had the pleasure of co-founding the Future Industry Platform Foundation.
Marcin Zientara, PhD, began his professional career in 2000 at the Institute of Physics of the Polish Academy of Sciences in Warsaw. In 2004, he received his PhD in optics and physics of complex systems there. Until 2013, he worked in Polish and German scientific institutes dealing with the physics of complex systems. Since 2013, he has been actively working in the field of R&D transferring his knowledge gained in his scientific work to the practical field. In the course of this activity, he has developed and implemented analytical, simulation and optimization tools that have found applications in manufacturing companies, energy and finance. The results of his work are algorithms for analyzing and modeling data, phenomena and processes - using Big Data, AI and Data Science methods - which form the basis of several key products in the eBigData portfolio.
(English: artificial intelligence, German: Künstliche Intelligenz) - intelligence exhibited by artificial devices (as opposed to natural intelligence).
Artificial intelligence (English: artificial intelligence, German: Künstliche Intelligenz) - intelligence exhibited by artificial devices (as opposed to natural intelligence). The term was created by John McCarthy. In the colloquial sense, it is often used in the context of "true artificial intelligence". In computer science and cognitive science, it also refers to the creation of models and programs that simulate at least partially intelligent behavior[1][2]. Artificial intelligence is also a subject of consideration in philosophy (philosophy of artificial intelligence) and a subject of interest in the social sciences.
Success in successful data mining, processing and analysis is a product of the data scientist's knowledge and experience. In this field, we boast a team of more than 10 people with experience in industrial and commercial projects.
Big Data are datasets characterized by great diversity and reaching businesses in ever-increasing quantities and with ever-increasing speed. Their skillful use allows the transition to a knowledge-based economy - form data to knowledge.
A digital twin is a digital copy of a real object, process or system, the purpose of which is to accurately replicate its properties and behavior.
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We provide artificial intelligence tools for the development of APM machine networks in the courier express industry.
AI4APM identifies optimal locations for APM stations and evaluates their potential.
VRA optimizes the transportation network and the resources required to operate it. On average, it reduces the total length of routes by 10% and raises the punctuality of deliveries to 100% while reducing the necessary resources.
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We provide AI tools to support companies' energy efficiency, minimize their carbon footprint and support their decarbonization.
AI4MFCTM (master controller) optimizes the energy consumption of running sets of pump or compressor units.
AI4ACTM (master controller) optimizes the energy consumption of running air handling units.
Our solutions allow you to reduce energy consumption by an average of 8% to 15%.
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We provide AI tools to support the development of green mobility and sustainable transportation.
CSL identifies optimal locations for alternative fuel vehicle charging stations and evaluates their potential.
VRA optimizes the transportation network and the resources required to operate it. On average, it reduces the total length of routes by 10% and raises the punctuality of deliveries to 100% while reducing the necessary resources.
For more information, please contact us.
For more details, please visit the website computer version or feel free to contact us.
We provide artificial intelligence tools to support the optimization of manufacturing and technology processes in companies.
JSSA optimizes the production order queue for planning and scheduling. It enables efficient management of production time on production lines and the resources used on them. It extends or complements the capabilities of APS-class systems.
We also provide dedicated models simulating technological processes and optimizing them for user-defined efficiencies, such as time or energy.
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