Science - Enbioma

SCIENCE & TECHNOLOGY

From Microbiome Science to Market-Ready Formulations

Enbiosis began as an AI-powered, microbiome-based personalized food and supplement recommendations platform.
Over time, this foundation evolved into a design engine that models and predicts these transformations to guide targeted formulation development.

Our Story

The Scientific Evolution of Enbiosis

Enbiosis began as an AI-powered, microbiome-based personalized food and supplement recommendations platform. Over 15+ years of experience, our unique algorithm has been validated through four Q1 publications and partnerships across 16+ countries.

Building on this foundation, we evolved beyond personalized recommendations into a formulation platform. Translating microbiome insights into targeted nutraceutical designs. 

The result is Enbiosis 2.0: a formulation engine powered by Digital Twin & AI — supported by clinical evidence.

STEP 1

Digital Twin Modeling

Developing digital twin models of the human gut microbiome to simulate how microbial communities process different inputs and generate metabolic outputs.

STEP 2

Metabolic Pathway Identification

Identifying target metabolic pathways and key microbial functions associated with specific health outcomes through simulation and scientific validation.

STEP 3

Retrosynthetic Formulation Design

Using AI-driven retrosynthesis to identify food-grade precursors that can be converted by the microbiome into target metabolites.

STEP 4

Formulation & Deployment

Translating these insights into ready-to-use nutraceutical formulations, designed for scalable integration across global markets.

the technology

We Simulate The Gut Microbiome

Through digital twin technology, we identify condition-specific metabolic targets and design research-backed, food-grade formulations to support outcomes across gastrointestinal, ocular, cognitive, mental health, and beyond.

STANDART APPROACH

Trial-and-Error Formulation

Generic ingredients, limited data, and unpredictable outcomes.

Broad-spectrum, one-size-fits-all
Limited or absent clinical backing
No biological simulation
Slow iteration cycles

ENBIOSIS APPROACH

Digital Twin & AI-Driven Formulation

We simulate how the microbiome transforms ingredients into functional metabolites before a formulation ever reaches production.

Peer-reviewed scientific validation
AI-modelled ingredient-to-metabolite interactions
Optimised through large-scale digital twin simulations
Designed to target specific metabolic pathways

the pipeline

How We Build Formulations

Every Powered by Enbiosis premix comes supply-chain ready; GMP-certified, fully documented, and food-grade compliant.

Prediction

Microbiome data → Digital twin simulation → Metabolic output prediction

Discovery

Target metabolites → Retrosynthesis modelling → Precursor identification

Design

Food-grade substrates → Minimal precursor sets → Targeted formulation design

Validation

Targeted formulation design → Large-scale RCT validation → Clinical evidence

Prediction

Microbiome data → Digital twin simulation → Metabolic output prediction

Discovery

Target metabolites → Retrosynthesis modelling → Precursor identification

Design

Food-grade substrates → Minimal precursor sets → Targeted formulation design

Validation

Targeted formulation design → Large-scale RCT validation → Clinical evidence

valıdatıon

Clinical Trials

Our platform is being validated through pilot and randomized clinical studies across multiple health areas, starting with ophthalmology and expanding into metabolic, gastrointestinal, and urology-focused indications.

Ophthalmology / Eye Health

Dry Eye Disease (DED), Pilot study completed in DED

Metabolic

Type 2 Diabetes Mellitus

Gastrointestinal

Ulcerative Colitis, Crohn’s Disease

Dermatology

Psoriasis, Vitiligo, Eczema

Urology

Hypogonadism, Chronic Pelvic Pain Syndrome

Neurological / Cognitive

Alzheimer’s Disease, Parkinson’s Disease