BioFoundra is RAWGA's agentic AI platform for functional ingredient development. It identifies customer demand first, uses whole-genome data to determine who is most likely to respond, and designs the matching peptide in silico before any laboratory work begins.
BioFoundra:
From Market Demand to Molecule
Great ingredients fail when no one has asked for them.
In conventional development the material comes first and demand is estimated last. A new natural-origin compound takes an average of 11.4 years and USD 307 million to reach the market.
BioFoundra begins with what consumers already search for and purchase, and works backward to the ingredient, its specification, and its regulatory route.
BioFoundra - Key features
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Reads live purchase signals from search, social media, and marketplaces
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Stratifies consumers by SNP genotype to predict who responds
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Designs novel peptides in silico before laboratory work begins
How It Works
Three autonomous agent layers operate as one closed loop, from market signal to genotype to molecular structure, verified against live sales data from global e-commerce and social commerce platforms.
Market Signal
Analyst agents monitor search trends, social media, and live marketplace sales data, including competition and pricing, to define what is selling now..
Genomic Evidence
Market signals become purchase language, indicator specifications, and certification routes. Whole-genome sequencing (WGS) data stratifies consumers by SNP group and predicts the likely response to each target.
In silico Molecular Design
Discovery agents design novel peptides de novo using industry-standard molecular modeling tools, from de novo design to molecular docking and ADMET prediction, before the lab.
