Venture

Bursting The Top Three Myths To Get Your Healthcare Startup Funded

Comment

Image Credits: qPlaton (opens in a new window) / Shutterstock (opens in a new window)

Michael Jin

Contributor

Michael Jin is a founding partner at TEEC Angel Fund.

The evolution of the healthcare industry has brought forth innovative startup opportunities in the past few years. A few are actually helping to change the world. Unfortunately, typical buzzwords for other startups, such as “disruption,” “big data” and even “globalization,” have oversimplified the understanding of entry into the healthcare startup industry.

In the past five years, my colleagues and I have seen countless healthcare pitches, and have helped 18 TAF-funded healthcare startups raise more than $115 million. We also have seen countless ideas and technologies fail to achieve their goals of changing the healthcare industry.

Here are three myths I want to dispel to help some of those struggling healthcare startups find the funding they need to turn their destinies around for the better.

Myth No. 1: The Barriers To Entry Are Easier Than Ever

The landscape of the healthcare industry has changed dramatically over the past five years, and some people believe that emerging healthcare startups no longer need Intellectual Property (IP) or license to enter the space and thrive. While some emerging healthcare companies, like wearable devices, show great potential for growth by leveraging innovative business models, they only make up a small portion of the overall healthcare industry.

Significant barriers remain for both emerging and traditional healthcare startups, even though many founders assume they will always find sufficient funding. Unfortunately, it would be dangerous to assume that every round of funding will see a steady flow of cash, and we have seen several startups with interesting products fail due to insufficient liquidity to sustain operations.

It is crucial to find early stage investors who are interested in the company’s long-term goals of future fundraising. This can prove challenging, because healthcare startups often have longer investment return periods, which can deter some investors and make others extremely cautious.

Unlike basic wearable technology, we have seen several successful startups born from research labs in universities. For instance, Ginkgo Bioworks, spun out from MIT in 2008, recently closed a Series B for $45 million. Kolo Medical is a revolutionary healthcare technology that started as a lab project at Stanford University and held more than 40 patents prior to seed funding.

While these projects had the advantage of national grants and years of work, the principle investor also remained involved through the early stages of the startup, and continued playing a big role on the advisory board because of the unique technology and potential.

Strong patents and sustained research capabilities guaranteed the success of these startups, two factors that investors can’t ignore.

Myth No. 2: Healthcare Startups Need Big Data To Succeed

The traditional healthcare field has accumulated great amounts of data. Unfortunately, most of the data is low quality and unstructured. Privacy also remains a challenge, because regulations exist to protect patient information being released to third-parties, such as other healthcare providers and pharmaceutical companies.

Data collection and sharing challenges have forced some healthcare startups to start collecting data by providing services and accumulating data in return, such as wearable Fitbit and personal genomics, 23andme. Startups that own high-quality data (and can build a profitable business model to make sense of it) will win the game and have a better chance of a higher valuation.

Collecting high-quality, well-structured data has never been an issue for the pharmaceutical industry. However, data-mining algorithms, artificial intelligence, prediction and application, combined with biotechnology, has become a core strength to distinguish one startup from the others.

With the popularity of “precision medicine” and the advancements of sequencing technologies, we are confident that big data will play an essential role in the discovery of new medicine and treatments. For example, Numedii uses big data effectively to expedite the new drug development process. It overcame the challenge of data collection by forming strategic partnerships with data-source suppliers.

Myth No. 3: Healthcare Globalization Is Still Far Away

Thanks to the Internet, many healthcare startups can easily scale their solutions globally. Globalization is here to stay. For instance, MyHealthTeams builds social networks for chronic-disease communities, and has already expanded to eight countries. Globalization also includes combining different health concepts from all over the world to drive technology breakthroughs.

Startups like PhysioCue built core technology deeply inspired by Asian acupuncture concepts. This helped PhysioCue win popularity in international markets, such as China and Korea.

To succeed globally, ambitious entrepreneurs must also heed significant international differences. Unlike Western consumers with strong dependencies on healthcare insurance, Chinese healthcare consumers are much more willing to spend their household income on healthcare products and services. Because of this, many high-performance medicines can quickly gain popularity in the Chinese market.

Additionally, healthcare products targeting poor health and recovery issues also can see sales grow quickly. The population size in China also enables high market acceptance and great early stage product tolerance for healthcare startup products. Therefore, collaborating with local investors and/or business development teams is a clever idea to quickly learn market needs and crack the nut.

Overall, the future looks promising for healthcare startups, and the healthcare industry. As more companies come on the market, I hope they are backed by strong patents and unique technology, using the power of big data to their advantage and always thinking of a global perspective.

Investors will have more to look forward to with these diverse startups that want to solve the next great healthcare riddle, and I hope to see them succeed.

More TechCrunch

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Everything announced so far

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google gets serious about AI-generated video at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google reveals plans for upgrading AI in the real world through Gemini Live at Google I/O 2024

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade

At Google I/O, Google announced upgrades to Gemini 1.5 Pro, including a bigger context window. .

Google’s generative AI can now analyze hours of video

The AI upgrade will make finding the right content more intuitive and less of a manual search process.

Google Photos introduces an AI search feature, ‘Ask Photos’

Apple released new data about anti-fraud measures related to its operation of the iOS App Store on Tuesday morning, trumpeting a claim that it stopped over $7 billion in “potentially…

Apple touts stopping $1.8B in App Store fraud last year in latest pitch to developers

Online travel agency Expedia is testing an AI assistant that bolsters features like search, itinerary building, trip planning, and real-time travel updates.

Expedia starts testing AI-powered features for search and travel planning

Welcome to TechCrunch Fintech! This week, we look at the drama around TabaPay deciding to not buy Synapse’s assets, as well as stocks dropping for a couple of fintechs, Monzo raising…

Inside TabaPay’s drama-filled decision to abandon its plans to buy Synapse’s assets

The person who claimed to have stolen the physical addresses of 49 million Dell customers appears to have taken more data from a different Dell portal, TechCrunch has learned. The…

Threat actor scraped Dell support tickets, including customer phone numbers

If you write the words “cis” or “cisgender” on X, you might be served this full-screen message: “This post contains language that may be considered a slur by X and…

On Elon’s whim, X now treats ‘cisgender’ as a slur

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch the AI reveals live

Facebook once had big ambitions to be a major player in enterprise communication and productivity, but today the social network’s parent company Meta will be closing a very significant chapter…

Meta is shutting down Workplace, its enterprise communications business

The Oversight Board has overturned Meta’s decision to take down a documentary revealing the identities of child abuse victims in Pakistan.

Meta’s Oversight Board overturns takedown decision for Pakistan child abuse documentary

Adam Selipsky is stepping down from his role as CEO of Amazon Web Services, Amazon has confirmed to TechCrunch.  In a memo shared internally by Amazon CEO Andy Jassy and…

AWS CEO Adam Selipsky steps down