Banyan.eco offers an AI-powered platform that automates the calculation of Product Carbon Footprints (PCFs) for electronic products, reducing calculation time from weeks to minutes. It provides accurate cradle-to-grave environmental impact assessments and actionable eco-design recommendations to help manufacturers embed sustainability into their products and supply chains.
Funding
Funding not disclosed
Founders
Product
Problem
Calculating Product Carbon Footprints (PCFs) for electronics is a time-consuming and complex process, often relying on outdated or incomplete data. This limits the ability of manufacturers to accurately assess their environmental impact and integrate sustainability into their product design and supply chain management.
Solution
Banyan.eco provides an AI-powered platform that automates the calculation of PCFs for electronic products, reducing calculation time from weeks to minutes. The platform leverages granular, primary data and AI agents to provide accurate environmental impact assessments from cradle-to-grave. It also offers actionable eco-design recommendations and supply chain traceability features, enabling manufacturers to embed sustainability into their products and processes. By transforming sustainability efforts into measurable business differentiators, Banyan.eco helps companies achieve tangible ROI and regulatory compliance.
Target Audience
The primary customers are device and sub-system OEMs, Electronic Manufacturing Service (EMS) providers, semiconductor companies, and EDA tool developers within the electronics industry.
Features
- AI-driven platform for automated Product Carbon Footprint (PCF) calculation for electronics.
- Cradle-to-grave environmental impact assessment using ISO 14040/44/67 standards.
- Input processing from Gerber designs and Bill of Materials (BOM) for comprehensive analysis.
- AI agents for validated data gathering, modeling, and propagation at material and process levels.
- Actionable eco-design recommendations for energy use, material selection, and waste minimization.
- Supply chain traceability features for regulatory compliance and transparency.
- Digital Eco-Twin technology for continuous supply chain and process monitoring.
- Collaborative workspace for data sharing and updates across the value chain.
- Focus on primary data utilization for enhanced accuracy and reduced inaccuracies.