Mikołaj Kołodziejczak
Manufacturing & intralogistics specialist
Implemented Industry 4.0 solutions at Volkswagen Poznań
Co-founder of the Future Industry Platform Foundation
Expert in the energy transition
Marcin Zientara, PhD
Physicist specializing in complex systems
PhD from the Institute of Physics, Polish Academy of Sciences
13 years of research at Polish and German institutes
Author of 20+ scientific publications with 500+ citations
Architect of the AI, simulation & optimization tools behind eBigData products
Closed-loop autonomy
Sense. Optimize. Act.
In real time.
We combine physics, Physical AI and physics-informed neural networks (PINNs) to build breakthrough Industrial AI for autonomous plants and factories. Next frontier: the same closed-loop autonomy for space systems.
See it in action: AI4MFC →
For more details, please visit the website computer version or feel free to contact us.
Autonomous AI master controllers that control, not just advise – in real time, 24/7, without human intervention.
AI4MFCTM – master flow control for pump and compressor sets: ≈10% average annual energy savings.
AI4ACTM – the same autonomous control for air handling units.
Plug & play with existing SCADA, PLC and VSD – zero downtime.
For more details, please visit the website computer version or feel free to contact us.
Data-driven decisions for greener transport – where to charge and how to route.
CSL – finds optimal locations for alternative-fuel charging stations and scores their potential.
VRA – optimizes the transport network and the resources needed to operate it.
For more details, please visit the website computer version or feel free to contact us.
AI that plans, simulates and optimizes production – from the order queue down to the physics of the process.
JSSA – AI scheduling of the production order queue for better use of line time and resources; extends or complements APS-class systems.
Process models – dedicated simulations of your technological processes, optimized for the KPI you choose: cycle time or energy.
