Your heart rate changes from minute to minute, and it reflects everything that happens in your life—from daily activities like sleep, stress, and exercise to serious medical conditions. In multiple studies with UC San Francisco's Cardiology department, we've shown accurate detection of four major medical conditions—sleep apnea, hypertension, diabetes, and atrial fibrillation—which affect more than a billion people globally.
We’re building an interdisciplinary team with expertise in design, engineering, medicine, and healthcare commercialization. Frontend engineers create the core of Cardiogram—the Cardiogram app.
Unlike other companies, we don't do shallow hand-holding. We know that every health situation is unique and needs personalization. We trust that consumers know themselves best and are capable of taking care of themselves with the right help and resources.
More than one million people use the Cardiogram app with their Fitbit, Apple Watch, Garmin, or WearOS by Google watch. Our app helps people across the health spectrum:
* For people managing a health condition, Cardiogram Premium lets them share data with a family member of their doctor.
* For people at risk of a health condition, the care tab in our app will continuously monitor them, and if they're at elevated risk, offer them an FDA-cleared or CLIA-approved confirmatory test (e.g., a blood test).
* For healthy people, your heart rate h universal use cases like sleep, stress, and fitness.
By engaging people across the health spectrum—even before they're sick—we can shift healthcare from reactive to preventive.
Cardiogram was founded by a tech lead of Google Voice Assistant and a member of Obama's HealthCare.gov rescue team. We're backed by top investors with deep expertise in both healthcare and consumer internet, like Andreessen-Horowitz's Bio Fund, Health Catalyst Capital, the CTO of Microsoft, the founder of Rock Health, and more.
We're an interdisciplinary team. The Cardiogram app is built in ReactJS, Redux, Swift (iOS), Java (Android), with a backend of NodeJS, PostgresQL, ScyllaDB, BigQuery, and Heroku. DeepHeart is built using TensorFlow, Keras, NumPy, and Pandas. We practice email transparency, and encourage people to pitch in across the entire technology stack.