The first venture fund dedicated to digital health

We want to make healthcare massively better for every human being.

The first venture fund dedicated to digital health

We want to make healthcare massively better for every human being.

Demystifying AI and Machine Learning in Healthcare

AI in healthcare feels inevitable: Optimists predict that artificial intelligence and machine learning (AI/ML) will diagnose disease better and earlier, treat illness more precisely, and engage patients more efficiently than today’s healthcare system does. On top of this, AI/ML is expected to streamline business operations and restore sanity (and humanity) to the clinician experience. To separate hype from reality, read our 50-page white paper, Demystifying AI and Machine Learning in Healthcare.

Portfolio

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Honor

Home care built for our parents. And you.

Omada Health

A pioneer in digital therapeutics, helping people reduce their risk for chronic diseases.

Kit Check

Faster, safer, and friendlier medication tracking.

Collective Health

A smarter way to provide healthcare coverage through technology.

Augmedix

Empowering doctors to spend more time with patients and less time charting.

News

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Events

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San Francisco, CA Fall 2018

Rock Health Summit

A two-day digital health conference in San Francisco that brings together diverse minds from medicine, technology, policy, venture, and beyond to tackle healthcare’s most challenging problems.

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Spring 2018

Rock Health Women’s Summit

The Rock Health Women’s Summit is an annual invitation-only event for women and men built to promote gender diversity and support women leaders in digital health.

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San Francisco, CA March 20, 2018

Digital Health CEO Summit

Co-hosted with Wharton | San Francisco, this annual invitation-only event brings together CEOs from top digital healthcare companies for an afternoon of workshops and candid conversations.

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Report

A guide for business leaders, innovators, and deal makers

Demystifying AI and Machine Learning in Healthcare

AI in healthcare feels inevitable: Optimists predict that artificial intelligence and machine learning (AI/ML) will diagnose disease better and earlier, treat illness more precisely, and engage patients more efficiently than today’s healthcare system does. On top of this, AI/ML is expected to streamline business operations and restore sanity (and humanity) to the clinician experience. To separate hype from reality, read our 50-page white paper, Demystifying AI and Machine Learning in Healthcare.

Funding

AI, machine learning, & deep learning were the must funded differentiating technologies in 2017

A new research tool for a new phase of digital health: the analyses we now support

2017 was a record year for digital health by many accounts: total funding far surpassed previous years, there were more investors participating in digital health deals, and we saw more mega deals of $100M+ than ever before. With the industry maturing and entering its “middle innings,” we significantly expanded our Digital Health Funding Database and the information we track on every venture deal and company.

Download the Data

Uncover the biggest companies and trends in digital health. Download the raw data behind our widely-cited reports, including every funding deal since 2011.

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