PHENO
PHENO IS MORE THAN A DATASET
We are a longitudinal multiomics intelligence layer built from more than a decade of real human data. Our value compounds and cannot be replicated via scraping, synthetic data, or retrospective aggregation. Without this layer, health AI is limited to shallow, population-level inference.
Pheno.AI powers a new era of biological insight to make predictive, personalized health possible.
THE PHENO.AI
FULLSTACK PLATFORM
Our full-stack platform integrates data collection, biocomputation, and agentic systems to power scalable biological discovery and predictive health
IMPACT OUTPUTS
Translational discovery, precision health, digital twins, biomarkers, drug targets, risk engines, longitudinal models
DISCOVERY AGENTS
Custom agents, multi-step planners, model orchestration, composable toolchain for discovery and personalization
PREDICTIVE MODELS
Foundation models built on proprietary and open data sets spanning multi-omics, clinical, behavioral, imaging, and digital signals
AGENTIC PLATFORM
BIOMEDICAL DATA SCIENCE
Advanced analytical expertise spanning multi-omics, clinical, behavioral, and imaging data; statistical genetics; causal inference; and AI-driven discovery workflows
DATA PLATFORM
Open data sources and proprietary, AI-ready data from multi-modal, longitudinal, deeply phenotyped global cohorts
BIOCOMPUTATION
MULTIOMICS LAB
End-to-end lab infrastructure for genomics, proteomics, metabolomics, microbiome, and immunoassays, enabling standardized, high-quality multi-omic profiling at scale
DATA COLLECTION
END-TO-END OPERATIONS
Multi-country clinical operations, participant management, sample logistics, assay execution, data harmonization, regulatory alignment
THE PLATFORM
All research is conducted within an AI-native Trusted Research Environment (TRE), offering secure, pre-configured compute with Python and R workflows, dataset loaders, example notebooks, and tools optimized for multi-omics and time-series analysis. Built-in interpretability features support transparent modeling across clinical, molecular, and behavioral data.
OUR LONGITUDINAL DATASETS
Clinical Measurements
HEIGHT
WEIGHT
BMI
WAIST / HIP / NECK CIRCUMFERENCE
BLOOD PRESSURE
HEART RATE
ELECTROCARDIOGRAM (ECG)
ORTHOSTATIC HYPOTENSION TEST
LIVER ULTRASOUND
CAROTID ULTRASOUND
ANKLE-BRACHIAL PRESSURE INDEX (ABI)
LEG PULSE WAVE VELOCITY (PWV)
DUAL-ENERGY X-RAY ABSORPTIOMETRY (DXA)
COLOR FUNDUS IMAGING
VOICE RECORDING
HAND GRIP STRENGTH
GAIT AND BALANCE TEST
Blood Test Parameters
CBC
GLUCOSE
HBA1C
CREATININE
CRP
CHOLESTEROL PANEL (HDL, LDL, TG, TOTAL)
LIVER ENZYMES (ALT, AST, GGT)
VITAMIN B12, VITAMIN D
TSH
ALBUMIN
CALCIUM
ELECTROLYTES
NMR BIOMARKERS
LIPIDOMICS
Multi-Omics Profiling
WHOLE GENOME SEQUENCING
TRANSCRIPTOMICS
PROTEOMICS
METABOLOMICS
IMMUNOASSAYS
CELL-FREE DNA
GUT MICROBIOME
ORAL MICROBIOME
VAGINAL MICROBIOME
Continuous Monitoring
CONTINUOUS GLUCOSE MONITORING
CONTINUOUS SLEEP MONITORING
DIETARY
MEDICATION
SLEEP LOGGING
PHYSICAL ACTIVITY LOGGING
STEP COUNT MONITORING
WEARABLE DEVICES
Biological Sample Collection
BUCCAL SWAB
STOOL SAMPLE
VAGINAL SWAB
WHOLE BLOOD
SERUM SAMPLES
PBMCS
Biobanking
SERUM
PBMC
RESEARCH THEMES
Personalized Interventions
Using data from the HPP, we develop personalized interventions by modeling health at the individual level across genetics, multi-omics, imaging, lifestyle, and continuous monitoring.
HPP data enable AI models to learn how biological signals change over time and predict disease risk before clinical onset.
This approach supports tailored prevention and intervention strategies, such as personalized nutrition, lifestyle guidance, or treatment optimization, grounded in robust population-scale evidence rather than one-size-fits-all averages.
Metabolic Health
We study complex metabolic processes such as glycemic variability and lifestyle patterns using CGM, clinical, molecular and lifestyle data to identify early predictors of metabolic disease. Longitudinal analyses reveal lifestyle patterns associated with resilient metabolic profiles.
Longitudinal Health Trajectories
We map transitions along the health–disease continuum associated with aging, menopause, and interventions. Continuous sensing and repeated visits enable trajectory modeling and data-driven follow-up studies.
AI & Digital Biomarkers
We develop multimodal predictive models that combine multi-omics, imaging, and time-series data. Explainable AI methods enable clinically relevant digital biomarkers validated across cohorts.
CONTACT US
AI for a New Era of Human Health
Built on the world’s most comprehensive, high-resolution dvanced human-health dataset
Powered by modular, agentic AI
Delivering predictive, personalized, and preventive health at scale.
What is Pheno.ai?
Pheno.ai is building the AI infrastructure for precision health—combining the Human Phenotype Project, the most complete biological dataset ever assembled, with a plug-and-play platform of health AI agents
Why It Matters?
8 years in stealth → Now public30,000+ participants | 100+ modalitiesPeer-reviewed in Nature, Cell, ScienceGlobal deployments across Israel, Japan, UAE, and U.S.
Built for:
Biopharma discovery & clinical development
Digital biomarkers
Longevity & wellness intelligence
Population prediction & early risk tools
Personalized health optimization