Science

Built on Evidence. Designed for Regulatory Rigor.

Auralis translates microbiome science, genetic insight, and clinical-quality formulation logic into a structured pathway for personalized infant nutrition.

Scientific Foundation

Deeply grounded in fundamental science with a focus on infant health.

Microbiome Research

Unraveling the complex microbiome dynamics in infant health — understanding how bacterial composition, diversity, and metabolic activity shape early development.

Early-Life Immune Development

Understanding immune programming is critical for lifelong health. The first years of life represent a unique window in which the immune system is shaped by microbial exposure and nutritional inputs.

Gut–Brain Axis

Exploring the gut-microbiome connection to cognitive and neurological development. The bidirectional communication between the gut and the brain is increasingly recognized as a factor in early neurodevelopment.

Individual Biological Variation

Addressing unique genetic and metabolic needs through tailored nutrition. No two infants share the same biological profile, and their nutritional requirements should reflect that individuality.

Advisory Voices

What Leading Scientists Say

Voices from the Auralis scientific and clinical advisory network.

The neonatal microbiome is a fundamental component of human biological programming, and its impact extends far beyond infancy. Early, precise intervention in microbiome composition may influence immune system maturation, metabolic regulation, and neurological development — thereby reducing health risks well into adulthood. We now understand that the window of opportunity at the beginning of life is critical, and that proper correction of the microbiome can alter an entire health trajectory. In this sense, we are not merely discussing a nutritional or therapeutic approach, but a preventive medical strategy with profound long-term implications.

Prof. Eran Segal Weizmann Institute of Science · Scientific Advisor, Auralis

Balanced microbiome development in infancy is a key factor in the healthy maturation of the digestive and immune systems. Early, targeted intervention may reduce clinical complications, improve feeding tolerance, and decrease recurrent morbidity. In the long term, this approach has the potential to reduce the need for future medical interventions and hospitalizations. From a clinical standpoint, this is a preventive tool of significant value in neonatal medicine.

Dr. Mordechai Slae Director of Interventional Gastroenterology, Hadassah Medical Center

Disease-related alterations in gut microbiome composition, known as ‘dysbiosis,’ have been linked to conditions such as atherosclerosis, hypertension, heart failure, and chronic kidney disease. The microbiome functions as an endocrine organ, producing biologically active metabolites that influence host physiology.

Dr. Bareli Itzhak Internist and Cardiologist

Current research indicates that gut microbiome composition in early life may have a substantial impact on the bioavailability and absorption of essential nutritional components — including vitamins, minerals, fatty acids, and metabolites critical to infant growth and development. Nutritional interventions, including the addition of probiotics and prebiotics, may modulate microbiome composition and function, thereby regulating metabolic and immunological processes in the gut that indirectly affect nutrient availability and absorption. In this context, mapping gut microbial populations may serve in the future as a central tool for early identification of nutritional deficiency risk and for the design of targeted nutritional interventions.

Dr. Sheerli Kruger Ben Shabat Microbiome Scientist · Head of R&D, Auralis
AI Personalization Engine

Turning Biology into Infant-Specific Nutrition

The Auralis engine integrates microbiome data, genetic insight, developmental stage, and clinical rules into a structured recommendation pathway designed to personalize infant nutrition over time.

Multi-Layer Biological Inputs

Microbiome Profile

Bacterial composition and metabolic function from metagenomic sequencing.

DNA Markers

Host genetic markers for immune regulation, metabolic efficiency, and absorption.

Developmental Stage

Age-aligned nutritional needs across developmental windows.

Clinical & Nutritional Rules

Clinically validated formulation logic and infant-nutrition safety frameworks.

How the Engine Works

  1. Data Ingestion

    The system ingests biological data from microbiome sequencing and infant host genetic DNA analysis.

  2. Signal Interpretation

    Interprets key signals related to immune function, digestive capacity, and nutrient needs.

  3. Formula Logic Selection

    Applies clinically validated formulation logic to the interpreted signals.

  4. Personalized Output

    Generates a personalized nutritional blueprint for the individual infant.

From Signals to Formulation Pathways

Prebiotic / HMO Strategy

Selecting the optimal combination and dosage of Human Milk Oligosaccharides, GOS, and FOS to promote beneficial bacterial growth.

Vitamin & Micronutrient Balancing

Calibrating essential vitamins and minerals based on the infant’s genetic absorption profile and developmental stage.

Functional Microbiome Support

Formulating microbial productivity-supporting bacteria that contribute to vitamin synthesis, mineral handling, and immune regulation.

Ongoing Formula Adaptation

As new biological data is collected and the baby grows, the formula evolves to match their changing needs.

Why an Adaptive Engine Is Essential

Infant biology is not static. The formula shouldn’t be either.

No two babies are the same
Biology changes over time
Static formulas can't respond dynamically
AI helps structure complexity
Continuous Refinement loop: Data → Formula → Updated Data → Monitoring → back to Data Continuous Refinement Data collection Formula generation Monitoring feedback Updated data

Infant biology is not static. The microbiome evolves through distinct developmental phases, and the nutritional requirements at each stage are different. A static formula — no matter how well-designed — cannot respond to these changes. Auralis’s AI-driven engine enables continuous adaptation, ensuring the formula remains aligned with the baby’s biology as it matures.

Microbiome DataGenetic InsightClinical LogicAdaptive Nutrition

Predicting the Infant Microbiome as It Develops

Nutrition That Adapts to Microbiome Maturity Across the First 1,000 Days

The infant microbiome evolves through predictable developmental stages. Auralis models microbiome maturity and adjusts nutritional composition accordingly — supporting each transition from early colonization to ecosystem stability. To ensure ongoing precision, Auralis conducts two microbiome assessments during the first year of life, allowing the formula to be recalibrated based on real biological data and aligned with the baby's evolving nutritional needs.

Microbiome Maturity Score across four developmental stages Developmental timeline Microbiome maturity score Early Colonization Low Diversity Bifidobacteria Phase Oligosaccharide Utilization Transitional Ecosystem Increasing Complexity Stable Microbiome Expanded Capacity