An AI platform that generates test-ready data from synbiotic metadata — built to serve both pharma R&D and wellness product design.
M.A.I.D. is our AI discovery engine for synbiotics, precision biotics, and drug candidates. It ingests metagenomic, clinical, and literature data into one knowledge graph, then uses AI to generate test-ready data, predicting how a strain or formulation is likely to behave before it ever reaches the bench.
Strain genomics, prebiotic pairings, and study metadata feed the graph continuously.
Metabolic flux and interaction models estimate how a community will actually behave — before the bench.
Structured, AI-generated test data ready for R&D review or product formulation.
Large population health data, correlated in real time with the microbiome, gathered from individuals tracked longitudinally over several years. The network gets more valuable, and more predictive, with every cycle.
Large population health data gathered through synbiotic users and wellness partner channels, tracking individuals longitudinally over several years.
Each result feeds back into the knowledge graph, densifying it over time.
Enriched data sharpens the next product cycle and strengthens what we can offer partners.