BiosortAI is Biosortia’s project-based discovery offering for pharma, biotech, academia, and research groups seeking hidden microbiome-derived molecules associated with an actual or desired biological activity.
Instead of beginning with random synthetic space, BiosortAI starts with industrial-scale microbiome access, deep proprietary data, and AI-guided triage of evolutionarily optimized microbial starting points.
Three integrated pillars turn hidden microbial chemistry into projectable discovery opportunities.
Industrial-scale access to intact microbial communities and hidden small molecules that are normally unobtainable through standard culturing or small-sample methods.
Deep LC-MS/MS, genomic, habitat, and biological-activity datasets create proprietary training sets for molecule recognition, prioritization, and hypothesis generation.
AI prioritization, target mapping, ADME/tox screening, derivative exploration, and partner-ready triage help move projects from hidden molecule to testable opportunity.
Select a project type. The right-side panel will update with the recommended BiosortAI path.
Use this as a non-confidential first step. Specific targets, molecules, assay data, and confidential hypotheses can be handled later under appropriate confidentiality.
Select a project type to see how BiosortAI can frame the work.
Natural-product and natural-product-like molecules are overrepresented among approved drugs and have shown higher progression characteristics in published analyses. BiosortAI applies that logic to microbiome-derived discovery projects.
Purely synthetic discovery often begins in vast chemical space. BiosortAI begins with molecules shaped by biological systems, then uses computational triage to prioritize the most projectable candidates.
BiosortAI is designed to help partners identify promising microbial starting points earlier — before expensive late-stage commitments — and then advance only the most defensible candidates.
Each project can be scoped around a target, disease, phenotype, assay readout, unknown molecule, or desired activity.
Ask whether Biosortia has access to hidden molecules that may modulate a desired target or pathway.
Start with a biological activity, assay signal, or disease phenotype and search for microbial chemical priors.
Use spectral matching, structure prediction, and activity mapping to make sense of unknown features.
Move from a natural starting point toward derivative families, Markush strategy, and partner-ready options.
Share a non-confidential target, phenotype, assay readout, disease pathway, or desired biological activity. Biosortia can evaluate whether a microbiome-derived discovery project may be worth scoping.
To keep the BiosortAI page simple and focused, project intake begins on Biosortia’s contact page rather than through an embedded form.