Pheno.AI

Precision health from data

Wilmington, Delaware, United States

Precision Medicine/Diagnostics AI / MLSeed

Operates an AI-driven data analytics platform for deep-phenotype multi-omics analysis and powers the Human Phenotype Project.

✓Source: HealthTech Alpha by Galen Growth

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Check out Pheno.AI on @MedStartr Today Operates an AI-driven data analytics platform for deep-phenotype multi-omics analysis and powers the Human Phenotype Project. #Type2Diabetes #CardiometabolicDiseases #DigestiveDiseases #NervousSystemDiseases #ObesityOverweight #MentalBehavioralHealth #RespiratoryDiseases #CardiovascularDisease #PrecisionMedicineDiagnostics #AIML #MedMo #MedStartrVentures

https://www.medstartr.ai/s/CxhBkKduPZk

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How We Help

Problem Statement

Researchers and life sciences companies lack access to large-scale, deep-phenotype multi-omics datasets needed to identify novel biomarkers, personalize treatments, and develop new drugs.

Core Technology

AI-driven data analytics platform for deep-phenotype multi-omics analysis

Key Differentiators

Provides access to a large collection of deep-phenotype multi-omics datasets; Integrates multi-omics data with imaging, continuous monitoring, and rich lifestyle data; Offers an AI-native Trusted Research Environment for secure data analysis

Clinical Focus

Precision Medicine

Company Info

Business Model: B2B
Founded: 2025
Total Funding: Only accessible to MedStartr community members. Join now
Only accessible to MedStartr community members.
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Website: www.pheno.ai/

Disease Areas

Type 2 Diabetes Cardiometabolic Diseases Digestive Diseases Nervous System Diseases Obesity & Overweight Mental Health Respiratory Diseases Cardiovascular Disease

Technologies

Multi-OmicsBiomarker DiscoveryGeneticsMetabolomicsMicrobiomeSalesforcePrecision Medicine TechTranscriptomicsAnalytics & BIAI & Machine Learning

Clinical & IP

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Clinical Validation

Published in Nature Medicine & Nature (2025): GluFormer validated across 19 independent cohorts (6,044 participants, 8 CGM devices, 5 countries); outperformed HbA1c in predicting diabetes and cardiovascular disease.

🌐Website

MedStartr Engagement Score

The MedStartr Index is a reflection of how the crowds that come to MedStartr everyday to find healthcare innovations reacted. Calculated by our AI agent Fyggy based on algorithms we have been building since 2012 and over 100 different factors, the math is proprietary and complex. Suffice to say, it has been found to be highly correlative with early stage company growth. What you see here is the public version. To learn more or to get deeper access to our predictive data on startup success for your fund or company, click here.

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A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

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