by making production processes more efficient.
Reduce your
energy use
by +20%
Trusted partners
The current problem at industrial facilities
Energy Efficiency Sucks: Why the Traditional Approach Fails.
Since 2022, energy prices have tripled and energy markets have become more volatile than ever. Still, you, industrial manufacturers leaders, are up against controlling costs, at the time you are under pressure to decarbonize. While you are bleeding cash, yet with existing solutions, you haven’t yet found a way out.
Globally, industrial manufacturing accounts for over 30% of all emissions. $700 billion were poured into energy efficiency in 2024, but the result was a weak 1% improvement. Why? The traditional approach to energy management is outdated, complex, and requires constant human intervention. It’s simply not working.
That’s where BeChained comes in.
Process Optimization Solution for industrial manufacturing
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.
We guarantee a cut in energy use
and machine downtime by +20%
in specific production processes
Water management
Thermal processes (i.e. furnaces, pasteurizers,…)
Air compressors
Extractor hoods
Grinders
Case Studies
Physical AI to automatize operational efficiency
Continuous Process Optimization
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.
Autonomous & Plug-and-Play OS
- Autonomous Decision-Making: Unlike traditional, hard-coded systems, our type of AI (called Reinforcement Learning) is an autonomous Operative System for manufacturers, built on a patented method. It is Plug-and-Play: it learns from every action and adapts to ever-changing production environments (i.e. machine wear, external air humidity, market price).
- Predictive Maintenance: By continuously monitoring machine data, our system not only optimizes for energy, but also detects anomalies, allowing you to prevent downtimes before they occur.
- Zero Client Input: Continuous savings delivered with less emissions and greater uptime. Best of all? No client input needed.
Key benefits
- We guarantee +20% energy use reduction. Then, continuously 5% Year-to-Year,
- And equally cuts CO2 emissions (scope 1 and 2).
- This translates in a 7% cut on COGS.
- The implementation costs can be compensated with incomes from ETS.
- It converts energy efficiency into Demand-Side Response: a new revenue stream for manufacturers.
Backed by
Meet the team
Our blended team brings +50 years of combined expertise in energy, engineering, and data science
María
Guasch M.
RL Data scientist
Industrial Ph.D.
Mohammad
Peyman
RL Data scientist
MSc in Modelling of Science & Engineering.
Yusef
Ahsini O.
ML Engineer
Pawel
Skorupiski
Backend engineer
Francisco
Roldán S.
RL Data science
researcher
Elena G. joining soon
Jr. RL Data scientist
Advisors
Janne
Öfversten
(KONE)
Oliver
Wolf
(Deutsche Bahn)
He worked in the development of Long Distance Trains and different International Executive tenures at Lufthansa.
Reghu
Ram
(Deutsche Telekom)
His career comprises Executive roles in Deutsche Telekom and SAP; as well Executive education in Insead and Harvard Business School.
Our commitment to the
Sustainable Development Goals
Our vision is to prevent 65M tCO2 per year in industrial process. We are trailblazing the fully autonomous and green factories of tomorrow.
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