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Human Dx

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Human Dx

The Human Diagnosis Project.

humandx.org
HQ: San Francisco, CA, USA
11-50
Healthcare

Company research

Public company, workplace, funding, and market signals

Updated Aug 16, 2026

Overview

Human Dx (The Human Diagnosis Project) is a San Francisco-based health/medical collaboration platform building an open medical intelligence system that uses collective intelligence and machine learning to improve diagnosis and access to care.

Primary product

An open medical intelligence / diagnostic collaboration platform for clinicians and patients on humandx.org

Founded

2013

Headquarters

San Francisco, California, United States

Team size

11-50 employees

Industry

Civic and Social Organizations

Sub-industry

Healthcare / medical diagnosis collaboration platform

Business model

unknown

Funding

Stage

unknown

Total raised

$2.9M

Latest round

Venture Round · Oct 2013

Latest amount

$2.8M

Venture Round

Oct 2013

$2.8M

Seed Round

Aug 2012

People & investors

Leadership

Jayanth Komarneni

President and Chief Executive Officer

Irving Lin

Director

Albert Wenger

Director

Jonas Goldstein

Design Director

Investors

Andreessen Horowitz
DCVC
First Round Capital
Kapor Capital
National Heart, Lung, and Blood Institute
National Institute of Mental Health
Union Square Ventures

Work & culture

Public evidence is limited. The company emphasizes privacy, anonymous data use, and collaboration with physicians and researchers.

Compensation

No public compensation information found.

Product & market

Pricing

unknown

Differentiators

  • —Open medical intelligence system
  • —Collective intelligence plus machine learning
  • —Anonymous/public-knowledge oriented approach
  • —Designed to help any patient, not a single specialty workflow

Technology

unknown

Customers

Patients
Physicians
Researchers

Competitors

Ada Health
Symptomate
Isabel Healthcare
Buoy Health
K Health

Scale & contact

Estimated monthly visits

10.9K

Traffic estimate as of Jun 2026

Latest news

Human–AI collectives make the most accurate medical diagnoses, according to new study

MedicalXpress · Jun 2025

Press coverage of the PNAS study highlighting that Human Dx data helped show hybrid collectives improve diagnostic accuracy.

Human–AI collectives make the most accurate medical diagnoses

EurekAlert! · Jun 2025

University/research press release describing the Human Dx-backed study and its findings on hybrid diagnostic collectives.

Human–AI collectives most accurately diagnose clinical vignettes

PNAS · Jun 2025

Peer-reviewed study using Human Dx data found hybrid human-AI collectives outperformed humans-only and AI-only groups in open-ended medical diagnostics.

Combining Multiple Large Language Models Improves Diagnostic Accuracy

NEJM AI · Oct 2024

Study using Human Dx vignettes showing that aggregating multiple LLM outputs improves diagnostic accuracy versus single models.

Human Dx LinkedIn company activity on research/preprint

LinkedIn · Jun 2024

Company post sharing a preprint on improving diagnoses through hybrid teams of humans and machines.

App Store appCareers / jobs boardContactGitHub organizationGoogle Play appLinkedIn companyLinkedIn companyOfficial websitePrivacy policyProduct
SourcesHuman Dx homepageHuman Dx privacy policySEC Form D filing for Human Dx, Ltd.Human Dx LinkedIn company pageHuman Dx resources site

Jobs and careers at Human Dx

6 jobs at Human Dx

Account Manager

Remote
Sales
United States; New York, New York, United States
1w ago
Remote
Full-time
Apply

Cyber Detection Analyst

Remote
Customer Success
New York, NY; New York, NY, United States
2w ago
Remote
Full-time
Apply

Backend Engineer

Remote
Engineering & Research
Tel Aviv, Israel; Tel Aviv, Tel Aviv District, Israel
2w ago
Remote
Full-time
Apply

Customer Success Engineer

Remote
Customer Success
London, UK; London, London, United Kingdom
1mo ago
Remote
Full-time
Apply

Senior Account Executive

Remote
Sales
London, UK
2mo ago
Remote
Full-time
Apply

Senior Backend Engineer

Remote
Engineering & Research
Tel Aviv, Israel
4mo ago
Remote
Full-time
Apply

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