by making production processes more efficient.
Since 2022, energy prices have tripled and energy markets have become more volatile than ever. Still, industrial manufacturer leaders are up against controlling costs, at the time they are under pressure to decarbonize. While blooding cash with existing solutions, yet they haven’t found a way out.
Globally, industry accounts for over 30% of all emissions. $700 billions were poured into energy efficiency in 2024, however the result was a weak 1% improvement, while expecting a 4% progress.
Why? The traditional approach to energy management in manufacturing is hard-coded, outdated, complex, and requires constant human intervention. It’s simply not working.
The worst of all? Lacking willingness to challenge the status quo!
That’s where BeChained comes in.
We built an AI-powered Plug-and-Play Operating System that takes control of energy costs, CO2 emissions and machine uptime in specific production processes: it constantly identifies the optimal settings on machines and can implement the improvements directly in production.
Water management
Thermal processes (i.e. furnaces, pasteurizers,…)
Air compressors
Extractor hoods
Grinders
Our specialized AI agents deeply integrate into your facility. They continuously analyze and learn from real-time data (i.e. process settings, environmental changes, …) to identify the optimal settings on machines. They then take direct control to execute those improvements. Our system is completely autonomous.
You just plug it in, and it gets to work.
Our blended team brings +50 years of combined expertise in energy, engineering, and data science
RL Data scientist
Industrial Ph.D.
RL Data scientist
AI Engineer
Ph.D. in Information Technology with extensive experience in data analysis across both research and enterprise environments. Winner of the DREAM4 Challenge (2009), he collaborated with prestigious institutions including the University of Padua, Columbia University, UCLA & Veneto Institute of Oncology. He will coordinate the BarnOwl Project.
Backend engineer
RL data science researcher
KONE
Deutsche Bahn
Deutsche Telekom
Our vision is to prevent 65M tCO2 per year in industrial process. We are trailblazing the fully autonomous and green factories of tomorrow.
