AI training infrastructure via custom probiotics
Most data companies pay for their data. Ours pays for itself. Customers send us a stool sample. We sequence it, build a metabolic model of that gut, and simulate whether each probiotic strain has an open niche it can colonize. We formulate the best candidates, then re-sequence 90 days later to see what actually took hold and what changed. Each cycle gives us the baseline gut, the intervention, and the outcome. At scale, the endgame is models that predict chronic disease years before symptoms.
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