# BeChained

> BeChained is an AI-powered manufacturing optimization company that uses Reinforcement Learning and Digital Twin technology to reduce energy consumption by 20%+ in industrial facilities. Founded in 2023, BeChained guarantees a 4:1 ROI with payback in under 1 year.

BeChained shifts the paradigm from traditional "what-if" Digital Twin simulations to proactive "how-to" AI models that execute real-time optimization and predictive maintenance. The platform operates in "shadow mode" first (running alongside existing operations without disruption), then transitions to autonomous process control.

## Key Facts

- Company: BeChained (https://bechained.ai)
- Founded: 2023
- Contact: hello@bechained.ai
- CEO & Founder: Stefano Melchior
- Core Technology: Reinforcement Learning + Digital Twins for industrial process optimization
- Guaranteed Results: 20% energy reduction in year one, 4:1 ROI, payback in under 1 year
- Continuous Improvement: 5-10% additional annual energy savings after year one
- Industries: Steel mills, food processing, paper, manufacturing
- Processes: Thermal processes (heating furnaces, enameling furnaces, pasteurizers), water management, air compressors
- Related Project: BarnOwl AI (https://barnowl.ai) - Serial Digital Twin builder using Foundational AI (LLM)

## What BeChained Does

BeChained's Reinforcement Learning AI learns from real-time sensor data and environmental changes, returning optimal process settings to machines. The system delivers:

1. Energy Use Optimization: 20%+ energy use cut, peak load optimization, carbon footprint tracking
2. Digital Twins for Production Processes: Build Hi-Fi Twins of physical processes through specific purpose Foundational AI (LLM). Process Managers digitize and automatize the facilities of the future.
3. Process Optimization: Maximize throughput and efficiency by continuously fine-tuning production settings

## Implementation Journey

1. Data Gathering: Comprehensive collection of process parameters, sensor data, and operational metrics
2. Digital Twin in "Shadow Mode": AI model runs in parallel with existing operations, learning optimal settings without disrupting production
3. Autonomous Process Control: Reinforcement Learning agent takes control of machine settings, continuously optimizing in real-time

## Team

- Stefano Melchior (CEO & Founder): 3x founder, 20+ years in Operations, MSc Mechanical Engineering (Politecnico di Milano), Exec Master Business Analytics (ESADE Barcelona)
- Maria Guasch M. (RL Data Scientist): Industrial Ph.D., mathematician, biotech startup experience
- Elena Gallego M. (Jr. RL Data Scientist): MSc AI (KU Leuven), Economics degree (UPF)
- Alberto Corradin (AI Engineer): Ph.D. Information Technology, DREAM4 Challenge winner, Columbia University & UCLA
- Pawel Skorupiski (Backend Engineer): MSc Computer Science (TU Dresden), previously at Volkswagen Group and Adidas
- Francisco Roldan S. (RL Data Science Researcher): PhD in AI (Dublin), MSc Computer Vision (UAB Barcelona)

## Advisors

- Janne Ofversten: Head of Digital & Sustainability Innovations at KONE, two decades at Nokia
- Oliver Wolf: Customer Experience Manager at Deutsche Bahn, executive roles at Lufthansa
- Reghu Ram: SVP Fintech Products at Deutsche Telekom, executive roles at SAP, education at INSEAD and Harvard Business School

## Social Links

- [LinkedIn](https://www.linkedin.com/company/bechained)
- [Twitter](https://twitter.com/be_chained)
- [Medium](https://bechained.medium.com)
- [Substack](https://bechainedai.substack.com)

## Detailed Information

- [Full Company Profile](https://bechained.ai/llms-full.txt): Complete information about BeChained's technology, team, use cases, and value proposition