Intent → Property Translation
We interpret qualitative requirements — feel, movement, elasticity, finish, durability, sustainability — and convert them into quantifiable mechanical and chemical specifications.
We interpret qualitative requirements — feel, movement, elasticity, finish, durability, sustainability — and convert them into quantifiable mechanical and chemical specifications.
Using polymer science models and high-dimensional search, we explore backbones, chain extenders, additive packages, and bio-based building blocks that can meet target properties.
Empirical testing — stress-strain behavior, DMA profiles, abrasion resistance, curing curves, and environmental aging — all feeds back into the platform, sharpening predictive accuracy over time.
How it flows
Intelligence Platform
Define material requirements and aesthetic needs
Supply raw material specifications & feedstock data
Provide production criteria and scalability limits
Platform
Data Repository
AI-accelerated recipes tailored to criteria
Verifying formulation correctness and storing test result data
Provides Needed Materials
Define material requirements and aesthetic needs
Provide production criteria and scalability limits
Supply raw material specifications & feedstock data
Platform
Data Repository
AI-accelerated recipes tailored to criteria
Verifying formulation correctness and storing test result data
↺ Provides needed materials back to Manufacturers, and feeds validation data back to the platform