Skip to main content

Doximity’s S-1 may explain why healthcare exits are heating up

There was a time when this column was more than a never-ending run of IPO coverage. Then the unicorn liquidity cycle kicked off and it’s been a long run of public offerings ever since. This morning is no exception.

Doximity filed to go public earlier today. You likely haven’t heard of the company because it exists in the modestly obscure world of telehealth. But it’s a venture-backed startup all the same that raised more than $80 million from investors like Emergence, InterWest Partners, Morgenthaler Ventures and Threshold, according to Crunchbase data.

Notably, Doximity has not fundraised since 2014, a year in which it attracted just under $82 million at a valuation of $355 million, per PitchBook data. How has it managed to not raise for so long? By generating lots of cash and profit over the years. Healthtech communications, it turns out, can be a lucrative endeavor.


The Exchange explores startups, markets and money. 

Read it every morning on Extra Crunch or get The Exchange newsletter every Saturday.


Doximity is a social network that allows doctors to speak to each other while complying with HIPAA, a federal law that promotes medical privacy. The network, originally defined as a LinkedIn for medical professionals, gives doctors a Rolodex for specialists, a newsfeed for healthcare updates, a communication tool to talk to patients, and a job search tool.

In 2017, Doximity claimed that it reached 70% of all U.S. doctors, more than 800,000 licensed professionals.

This is CEO Jeff Tangney’s second time bringing a healthtech company public after his previous medical software startup, Epocrates, debuted in 2011.

Let’s chat briefly about the larger healthtech exit market and then dig into Doximity’s IPO filing and get our heads around how the company managed to avoid private-market dilution for seven years — and what the company may be worth.

Healthtech exits

The global digital health market is estimated to hit $221 billion by 2026, underscoring how large an opportunity the sector may present to venture capitalists. But investors aren’t merely just paying attention to estimates; they are seeing a number of exits in digital health (read: liquidity) that are warming up their checkbooks.

CB Insights estimates that there were 79 healthcare IPOs and M&A transactions in Q1 2021 alone, a 60% increase from the quarter prior. Another report says that there were 145 acquisitions of digital health companies in 2020, up from a solid 113 in 2019.

While still growing, it’s fair to say that those figures describe a healthy exit environment.

The list of deals in the market is rapid-fire. Earlier this year, Everlywell, founded in 2015, acquired two healthcare companies to expand its digital health service and distribution. Last week, Modern Fertility was bought by Ro for north of $225 million in a majority-equity deal. Before you start complaining that it’s not an IPO, consider this: A less than four-year-old company just got bought for a quarter of a billion dollars by another company that is less than four years old.



from TechCrunch https://ift.tt/3p14ojC
via IFTTT

Comments

Popular posts from this blog

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Max Q: Psyche(d)

In this issue: SpaceX launches NASA asteroid mission, news from Relativity Space and more. © 2023 TechCrunch. All rights reserved. For personal use only. from TechCrunch https://ift.tt/h6Kjrde via IFTTT