Science & Technology
Engineering the microbiome into reproducible medicine.
We treat the gut microbiome as a programmable drug class — directed at the gut–brain–immune axis across CNS and oncology.
Definition
Microbiome-as-a-Drug
Microbiome-as-a-Drug is the approach of treating defined, functional gut microbiota — and their metabolites — as a controllable therapeutic class rather than a supplement. It pairs an industrialized, standardized process (FMT 3.0, P2 + GMP) with a proprietary strain library and AI-native discovery, so that microbiome interventions can be dosed, traced and studied like a medicine.
The gut–brain–immune axis
Gut–brain (CNS)
The microbiome modulates neuro-active metabolites and signaling along the gut–brain axis — the basis for our depression & mood-disorder programs.
Gut–immune (Oncology)
Gut microbiota shape systemic immunity — a lever to sensitize otherwise “cold” tumors to immune-checkpoint therapy and to limit metastasis.
AI-native
AI as infrastructure, not a tool
We are an AI-native biotech — AI runs across five dimensions of how we operate and discover, anchored by our gut-microbiome data base.
01
Governance
AI-assisted decision-making and risk control across the organization.
02
Data
A gut-microbiome data base unifying metagenomics, metabolomics, clinical phenotype and immune profiles.
03
R&D planning
Target discovery, trial design and knowledge-graph mining to shorten cycles.
04
Molecule & strain engineering
Predicting strain metabolite activity and safety to guide rational selection and design.
05
Biomanufacturing
Real-time fermentation monitoring and digital-twin process control from pilot to scale.
Strain library & 16S platform
300+ reserved functional strains, characterized and screened on a 16S platform that feeds the discovery pipeline.
Industrialized FMT 3.0
A freeze-dried, capsule-based process manufactured under P2 + GMP with triple-encapsulation for strain viability — standardized and room-stable.
See aFMT →The science is backed by evidence.
Clinical case narratives and expert consensus, each with a cited source.