This company provides an autonomous, plug-and-play operating system powered by specialized AI agents for industrial manufacturing processes. The system continuously optimizes machine settings in real-time to reduce energy consumption and CO2 emissions while improving machine uptime. This results in guaranteed energy use reduction, lower COGS, and potential new revenue streams from Demand-Side Response.
Funding
$490K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Industrial manufacturers face increasing electricity and natural gas prices, leading to uncontrolled energy expenditures and greenhouse gas emissions, with limited means to manage or reduce these costs effectively.
Solution
BeChained offers an AI-driven solution that optimizes energy consumption in manufacturing processes, enabling reductions of 20-25% in energy use and CO2 emissions. The technology continuously analyzes real-time data from energy meters and manufacturing execution systems (MES) to identify optimal machine settings, such as adjusting the speed of electric engines in water pumps or modulating inlet valves in air compressors. By implementing these improvements in production, BeChained helps manufacturers reduce energy spend, participate in demand-response and CO2 credit markets, and certify carbon footprint reductions at the product level. The AI solution integrates with existing infrastructure, including SCADA and OPC systems, to build a digital twin of the production factory and execute improvements in real-time without disrupting operations.
Target Audience
BeChained targets industrial manufacturers in sectors such as steel and metal, pulp and paper, and food processing, who are seeking to reduce energy consumption, lower emissions, and meet sustainability targets.
Features
- AI-powered technology that continuously identifies optimal settings on machines to improve energy efficiency
- Reinforcement learning models that adapt to on-the-run actions and environmental changes
- Integration with existing energy meters, MES, SCADA, and ERP systems through standard industrial protocols like OPC
- Real-time data collection and analysis from energy meters, machine controllers, and process data
- Automated execution of optimized settings through SCADA or OPC instructions
- Certification of carbon footprint reduction at the product level using direct data sources
- Capability to participate in demand-response and CO2 credit markets
- Plug-and-play solution that requires minimal setup and no proprietary hardware