CarbonSync's AI Agent Explained

CarbonSync now comes with the materials AI agent, built to help industrial design teams make smarter material choices, faster. It recommends sustainable materials for each part—saving hours of manual research and helping teams focus on creating better products.

In addition to learning from your product brief and technical requirements, the AI agent draws context from CarbonSync’s vast materials database. Our AI suggests materials that fit your design goals and sustainability targets—so every recommendation is practical, contextual, and ready to use in your design process.

Project Setup - Product Context

To generate accurate material recommendations, CarbonSync’s AI needs to understand the context of your product.

After uploading your product assembly, provide a clear product brief and outline any technical requirements. The more thoughtful the context—such as intended users, performance needs, and material preferences—the smarter and more relevant your recommendations will be.

Generate Material Recommendations

Once your product context is set, you can ask CarbonSync’s AI to suggest materials for each part in your assembly. Our AI analyzes your product brief, technical requirements, and part details to recommend materials that balance performance and sustainability.