by making production processes more efficient.
Reduce your
energy use
by +20%
Trusted partners
The problem in industry
Energy Efficiency Sucks: Why Traditional Approaches Fail.
Globally, Industry accounts for over 30% of all emissions. $700 billions were poured into energy efficiency in 2024, but the result was a weak 1% improvement, despite of an expected 4% progress.
Since 2022, energy prices have tripled and energy markets have become more volatile than ever. Manufacturing Executives are left with zero control over energy costs and CO2 emissions. While blooding cash with existing solutions, yet they haven’t found a way out.
Why? The traditional approach is focused on energy management, not energy optimization. Existing solutions in manufacturing are hard-coded, outdated, complex, and requires constant human intervention. That‘s simply not working.
The worst of all? Lacking of willingness to challenge the status quo!
Energy Reduction Solution
for industrial manufacturing
BeChained built an AI-powered Industrial Operating System that reduces energy use in specific production processes.
- We build a Digital Twin of the process, a virtual clone of its behaviour.
- Our AI continuously identifies the optimal settings on machines.
- Finally, it can take control of the process and implement the improvements directly in production.
We experienced a cut in energy use
and machine downtime by +20%
in the following production processes
Water management
Thermal processes (i.e. furnaces, pasteurizers,…)
Air compressors
Extractor hoods
Grinders
Case Studies
Physical AI to automatize 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.
She joined BeChained, enrolling in an Industrial Ph.D., to develop our trailblazing optimization products.
She plays a pivotal role in boosting thermal Process Optimization.
Elena
Gallego M.
RL Data scientist
Degree in Economic at Universitat Pompeu Fabra (Barcelona).
She delivers optimization in Production Processes, translating into client’s incomes from Demand-Side Response markets.
Alberto
Corradin
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.
Pawel
Skorupiski
Backend engineer
Francisco
Roldán S.
RL data science researcher
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 Exec roles in Deutsche Telekom and SAP; Executive education in Insead and HBS.
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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