Hyundai is launching Botride, a robotaxi service in California with Pony.ai and Via

A fleet of electric, autonomous Hyundai Kona crossovers — equipped with a self-driving system from Chinese autonomous startup Pony .ai and Via’s ride-hailing platform, will start shuttling customers on public roads next week.

The robotaxi service called BotRide will operate on public roads in Irvine, California, beginning November 4. This isn’t a driverless service; there will be a human safety driver behind the wheel at all times. But it is one of the few ride-hailing pilots on California roads. Only four companies, AutoX, Pony.ai, Waymo and Zoox have permission to operate a ride-hailing service using autonomous vehicles in the state of the California.

Customers will be able to order rides through a smartphone app, which will direct passengers to nearby stops for pick up and drop off. Via’s expertise is on shared rides, and this platform aims for the same multiple rider goal. Via’s platform handles the on-demand ride-hailing features such as booking, passenger and vehicle assignment and vehicle identification (QR code). Via has two sides to its business. The company operates consumer-facing shuttles in Chicago, Washington, D.C. and New York. It also partners with cities and transportation authorities — and now automakers launching robotaxi services — giving clients access to their platform to deploy their own shuttles.

Hyundai said BotRide is “validating its user experience in preparation for a fully driverless future.” Hyundai didn’t explain when this driverless future might arrive. Whatever this driverless future ends up looking like, Hyundai sees this pilot as a critical marker along the way.

Coverage area of Hyundai robotaxi pilot

Hyundai said it is using BotRide to study consumer behavior in an autonomous ride-sharing environment, according to Christopher Chang, head of business development, strategy and technology division, Hyundai Motor Company .

“The BotRide pilot represents an important step in the deployment and eventual commercialization of a growing new mobility business,” said Daniel Han, manager, Advanced Product Strategy, Hyundai Motor America.

Hyundai might be the household name behind BotRide, but Pony.ai and Via are doing much of the heavy lifting. Pony.ai is a relative newcomer to the AV world, but it has already raised $300 million on a $1.7 billion valuation and locked in partnerships with Toyota and Hyundai.

The company, which has operations in China and California and about 500 employees globally, was founded in late 2016 with backing from Sequoia Capital China, IDG Capital and Legend Capital.

It’s also one of the few autonomous vehicle companies to have both a permit with the California Department of Motor Vehicles to test AVs on public roads and permission from the California Public Utilities Commission to use these vehicles in a ride-hailing service. Under rules established by the CPUC, Pony.ai cannot charge for rides.

China’s Source Code Capital raises $570M as it builds a powerful investor network

Source Code Capital, the venture capital firm that’s backed some of China’s most prominent tech unicorns and boasts a network of high-profile investors and founders, announced Monday it has closed a new $570 million fund as it continues to hunt down early to mid-stage companies.

The latest close catapults Source Code’s capital under management to $1.5 billion and 3.5 billion yuan divided between six funds. Investors in the new fund, according to the company, span major pensions, sovereign wealth funds, college endowments, charities, private equity firms, among other institutions.

Source Code was founded in 2014 by Cao Yi, who studied computer science at China’s prestigious Tsinghua University and later became vice president at Sequoia Capital China, stints that might have helped him spot high-potential startups early on. To date, Source Code has backed close to 150 startups, including up-and-comers Bytedance, the TikTok parent that’s now the world’s most valuable startup; food delivery leader Meituan Dianping, which listed in Hong Kong last year; micro-credit provider Qudian, whose New York IPO marked one of the biggest for a Chinese fintech company that year; Mogu, a Tencent-backed fashion ecommerce site that floated on the Nasdaq last year; just to name a few.

With the new money, Source Code will continue to back businesses focused on the global market, “internet plus” or “AI plus” sectors, the last two of which are buzzwords in China pertaining to upgrading traditional sectors using the internet and artificial intelligence.

The fresh capital will also enable Source Code to bring more overseas investors into its peer and mentor alliance Ma Hui, which directly translates to “Code Club.” The thinking behind the community is akin to the investor network a16z has nurtured to channel support and resources between investors and portfolio companies. Ma Hui’s class of 30 big-name limited partners count Bytedance founder Zhang Yiming and Meituan founder Wang Xing.

“The goal of Source Code is to look for, invest in, and serve the best businesses in emerging economies. These companies and entrepreneurs are diligently working to let mass consumers eat better, wear better, live better, play better, access more inclusive finance and better transportation… among other ways to live a better life,” said Cao in a statement.

“[Our goal is] also to help enterprises across the board to grow sales, cut procurement and logistics costs, improve working capital turnover, unleash the potential of talents, and increase their global competitiveness… among other know-how to run a sustainable business,” the managing partner added.

Search giant Baidu has driven the most autonomous miles in Beijing

While the public is asking, “When are we going to ride in autonomous cars?” Technology companies have been moving apace to test them on designated roads. In China’s capital city Beijing, eight firms drove a total of 153,600 kilometers (95442.6 miles) through their autonomous fleets in 2018, and Baidu, the country’s largest search engine service seen as a local answer to Google, has built a big lead.

That’s according to new data released by Beijing’s transportation regulators in their first report on the city’s licensed self-driving cars. While the authority did not specify conditions of the road tests, say, the number of instances when a human driver had to intervene to prevent an accident, namely the level of “disengagement” that California’s counterpart report asked for, Beijing’s data offers the public an early glimpse into a fledgling field.

Baidu registered nearly 140,000 kilometers in Beijing last year, representing about 91 percent of total self-driving distances traveled by the eight licensed transportation companies in the city. The firm’s leading position is closely linked to its pledge to go all out for artificial intelligence. When it comes to AI’s application in mobility, Baidu stays clear of making hardware and runs an open platform called Apollo that lets third-party developers tap its autonomous tech.

Apollo has joined hands with 135 car manufacturers, parts suppliers and other car allies at last count. Its partners range from international automakers Volvo and Ford, to local electric vehicle startups Byton and Nasdaq-listed NIO.

Baidu was also the first to nab a batch of L3 licenses to trial self-driving cars in Beijing, where Baidu is headquartered and is the country’s first city to allow such road tests. Robocars are now testing in more than ten Chinese cities, including first-tier Beijing and Shanghai as well as smaller urban centers like Changsha, where Baidu is working with the municipal government to bring 100 automated cabs to the city by end of this year.

The runner-up on Beijing’s road-test list, Pony.ai, lagged behind Baidu by a large margin at 10132.9 kilometers. But the three-year-old company has attracted large sums of investor money, in part thanks to the resume of co-founder James Peng, who was the former chief architect of Baidu’s autonomous driving unit. The southern China-based startup counts Sequoia Capital China as one of its seed investors and nearly reached $1 billion in valuation after raising $102 million in funding last July.

Other self-driving companies testing in Beijing included social and gaming giant Tencent, ride-hailing platform Didi Chuxing, and carmakers NIO, Audi AG, Daimler AG and Beijing’s state-owned BAIC Group. Didi, which made safety a priority across company divisions following two passenger murders last year, ran the least self-driving miles in Beijing last year but the company holds great potential to unlock mountains of car-hailing data that could help autonomous vehicles predict road conditions.

Notably missing from the list is Roadstar.ai, a self-driving startup that once rivaled Pony.ai and secured a record $128 million Series A round less than a year ago. Chinese tech news blog Liangziwei reported this week that shareholders are asking to dissolve and liquidate the Shenzhen and Silicon Valley-based firm following months of infighting among its senior executives.

Also unmentioned is Huawei, a potentially formidable player in autonomous driving. The telecom equipment maker’s foray into self-driving predates many other familiar names. Back in 2016, Huawei was among a group of tech firms and carmakers to form the Global Cross-industry 5G Automotive Association aimed at developing communications technology and commercial solutions for automated driving. Members of the alliance included Audi, BMW, Daimler, Ericsson, Intel, Nokia and Qualcomm. More recently, Huawei’s partnership with Audi brought more light to its ambition in autonomous tech, as it provided chipsets to power Audi’s L4 (which is more autonomous than L3) self-driving sedans.

Tencent-backed homework app jumps to $3B valuation after raising $300M

Academic exams are a big deal in China as they determine the kind of universities, high schools and elementary schools that students get into and to a degree, the future that awaits them.

Parents are thus willing to invest generously to help their children get ahead in school. One startup capitalizing on this need is Yuanfudao, a six-year-old startup that has attracted a line of big-name investors. The company announced this week that it has raised $300 million in a funding round led by existing investor Tencent, China’s largest social networking and gaming company.

Other participants from the round include Warburg Pincus, Matrix Partners China and IDG Capital . The fresh injection raised Yuanfudao’s valuation from around $1 billion at the time it pocketed $120 million in 2017 to exceed $3 billion.

China’s exam-oriented culture has given rise to a billion-dollar tutoring market. As affordable mobile internet becomes common, a lot of that teaching effort is happening online. A report by research firm iResearch shows that China’s online K-12 market will reach 44 billion yuan, or $6 billion, by the end of this year and will more than triple to 150 billion yuan by 2022.

Yuanfudao, which means “ape tutor” in Chinese, administers a suite of services including live courses, a database of exam problems and a popular homework help app. The latter scans homework problems and solves them instantly with the snap of a camera. The startup also operates a research institute for artificial intelligence, which could train its homework app to be smarter.

Yuanfudao claims to serve more than 200 million users, which include students and their parents who use the startup’s apps to check the learning progress of their kids.

Yuanfudao told TechCrunch that it derives the majority of its revenues from selling live courses. It plans to use the proceeds from the latest round to fund investments in research and development of AI as well as improve its apps’ user experience.

The startup is in a heated race to fight for Chinese students and parents. Other companies with similar homework help services include Zuoyebang, which is backed by Chinese search giant Baidu, Coatue Management, Sequoia Capital China and Goldman Sachs. Another one is Yiqizuoye, which counts Singapore sovereign fund Temasek as an investor. A wave of Chinese companies that started with a focus on adult education have also come into the K-12 fray, including New Oriental and 51Talk, which are both listed on the New York Stock Exchange.

China’s Infervision is helping 280 hospitals worldwide detect cancers from images

Until recently, humans have relied on the trained eyes of doctors to diagnose diseases from medical images.

Beijing-based Infervision is among a handful of artificial intelligence startups around the world racing to improve medical imaging analysis through deep learning, the same technology that powers face recognition and autonomous driving.

The startup, which has to date raised $70 million from leading investors like Sequoia Capital China, began by picking out cancerous lung cells, a prevalent cause of death in China. At the Radiological Society of North America’s annual conference in Chicago this week, the three-year-old company announced extending its computer vision prowess to other chest-related conditions like cardiac calcification.

“By adding more scenarios under which our AI works, we are able to offer more help to doctors,” Chen Kuan, founder and chief executive officer of Infervision, told TechCrunch. While a doctor can spot dozens of diseases from one single image scan, AI needs to be taught how to identify multiple target objects in one go.

But Chen says machines already outstrip humans in other aspects. For one, they are much faster readers. It normally takes doctors 15 to 20 minutes to scrutinize one image, whereas Infervision’s AI can process the visuals and put together a report under 30 seconds.

AI also addresses the longstanding issue of misdiagnosis. Chinese clinical newspaper Medical Weekly reported that doctors with less than five years’ experience only got their answers right 44 percent of the time when diagnosing black lung, a disease common among coal miners. And research from Zhejiang University that examined autopsies between 1950 to 2009 found that the total clinical misdiagnosis rate averaged 46 percent.

“Doctors work long hours and are constantly under tremendous stress, which can lead to errors,” suggested Chen.

The founder claimed that his company is able to improve the accuracy rate by 20 percent. AI can also fill in for doctors in remote hinterlands where healthcare provision falls short, which is often the case in China.

Winning the first client

infervision medical imaging

A report on bone fractures produced by Infervision’s medical imaging tool

Like any deep learning company, Infervision needs to keep training its algorithms with data from varied sources. As of this week, the startup is working with 280 hospitals — among which 20 are outside of China — and steadily adding a dozen new partners weekly. It also claims that 70 percent of China’s top-tier hospitals use its lung-specific AI tool.

But the firm has had a rough start.

Chen, a native of Shenzhen in south China, founded Infervision after dropping out of his doctoral program at the University of Chicago where he studied under Nobel-winning economist James Heckman. For the first six months of his entrepreneurial journey, Chen knocked on the doors of 40 hospitals across China — to no avail.

“Medical AI was still a novelty then. Hospitals are by nature conservative because they have to protect patients, which make them reluctant to partner with outsiders,” Chen recalled.

Eventually, Sichuan Provincial People’s Hospital gave Infervision a shot. Chen with his two founding members got hold of a small batch of image data, moved into a tiny apartment next to the hospital, and got the company underway.

“We observed how doctors work, explained to them how AI works, listened to their complaints, and iterated our product,” said Chen. Infervision’s product proved adept, and its name soon gathered steam among more healthcare professionals.

“Hospitals are risk-averse, but as soon as one of them likes us, it goes out to spread the word and other hospitals will soon find us. The medical industry is very tight-knit,” the founder said.

It also helps that AI has evolved from a fringe invention to a norm in healthcare over the past few years, and hospitals start actively seeking help from tech startups.

Infervision has stumbled in its foreign markets as well. In the U.S., for example, Infervision is restricted to visiting doctors only upon appointments, which slows product iteration.

Chen also admitted that many western hospitals did not trust that a Chinese startup could provide state-of-the-art technology. But they welcomed Infervision in as soon as they found out what it’s able to achieve, which is in part thanks to its data treasure — up to 26,000 images a day.

“Regardless of their technological capability, Chinese startups are blessed with access to mountains of data that no startups elsewhere in the world could match. That’s an immediate advantage,” said Chen.

There’s no lack of rivalry in China’s massive medical industry. Yitu, a pivotal player that also applies its AI to surveillance and fintech, unveiled a cancer detection tool at the Chicago radiological conference this week.

Infervision, which generates revenues by charging fees for its AI solution as a service, says that down the road, it will prioritize product development for conditions that incur higher social costs, such as cerebrovascular and cardiovascular diseases.

China’s Infervision is helping 280 hospitals worldwide detect cancers from images

Until recently, humans have relied on the trained eyes of doctors to diagnose diseases from medical images.

Beijing-based Infervision is among a handful of artificial intelligence startups around the world racing to improve medical imaging analysis through deep learning, the same technology that powers face recognition and autonomous driving.

The startup, which has to date raised $70 million from leading investors like Sequoia Capital China, began by picking out cancerous lung cells, a prevalent cause of death in China. At the Radiological Society of North America’s annual conference in Chicago this week, the three-year-old company announced extending its computer vision prowess to other chest-related conditions like cardiac calcification.

“By adding more scenarios under which our AI works, we are able to offer more help to doctors,” Chen Kuan, founder and chief executive officer of Infervision, told TechCrunch. While a doctor can spot dozens of diseases from one single image scan, AI needs to be taught how to identify multiple target objects in one go.

But Chen says machines already outstrip humans in other aspects. For one, they are much faster readers. It normally takes doctors 15 to 20 minutes to scrutinize one image, whereas Infervision’s AI can process the visuals and put together a report under 30 seconds.

AI also addresses the longstanding issue of misdiagnosis. Chinese clinical newspaper Medical Weekly reported that doctors with less than five years’ experience only got their answers right 44 percent of the time when diagnosing black lung, a disease common among coal miners. And research from Zhejiang University that examined autopsies between 1950 to 2009 found that the total clinical misdiagnosis rate averaged 46 percent.

“Doctors work long hours and are constantly under tremendous stress, which can lead to errors,” suggested Chen.

The founder claimed that his company is able to improve the accuracy rate by 20 percent. AI can also fill in for doctors in remote hinterlands where healthcare provision falls short, which is often the case in China.

Winning the first client

infervision medical imaging

A report on bone fractures produced by Infervision’s medical imaging tool

Like any deep learning company, Infervision needs to keep training its algorithms with data from varied sources. As of this week, the startup is working with 280 hospitals — among which 20 are outside of China — and steadily adding a dozen new partners weekly. It also claims that 70 percent of China’s top-tier hospitals use its lung-specific AI tool.

But the firm has had a rough start.

Chen, a native of Shenzhen in south China, founded Infervision after dropping out of his doctoral program at the University of Chicago where he studied under Nobel-winning economist James Heckman. For the first six months of his entrepreneurial journey, Chen knocked on the doors of 40 hospitals across China — to no avail.

“Medical AI was still a novelty then. Hospitals are by nature conservative because they have to protect patients, which make them reluctant to partner with outsiders,” Chen recalled.

Eventually, Sichuan Provincial People’s Hospital gave Infervision a shot. Chen with his two founding members got hold of a small batch of image data, moved into a tiny apartment next to the hospital, and got the company underway.

“We observed how doctors work, explained to them how AI works, listened to their complaints, and iterated our product,” said Chen. Infervision’s product proved adept, and its name soon gathered steam among more healthcare professionals.

“Hospitals are risk-averse, but as soon as one of them likes us, it goes out to spread the word and other hospitals will soon find us. The medical industry is very tight-knit,” the founder said.

It also helps that AI has evolved from a fringe invention to a norm in healthcare over the past few years, and hospitals start actively seeking help from tech startups.

Infervision has stumbled in its foreign markets as well. In the U.S., for example, Infervision is restricted to visiting doctors only upon appointments, which slows product iteration.

Chen also admitted that many western hospitals did not trust that a Chinese startup could provide state-of-the-art technology. But they welcomed Infervision in as soon as they found out what it’s able to achieve, which is in part thanks to its data treasure — up to 26,000 images a day.

“Regardless of their technological capability, Chinese startups are blessed with access to mountains of data that no startups elsewhere in the world could match. That’s an immediate advantage,” said Chen.

There’s no lack of rivalry in China’s massive medical industry. Yitu, a pivotal player that also applies its AI to surveillance and fintech, unveiled a cancer detection tool at the Chicago radiological conference this week.

Infervision, which generates revenues by charging fees for its AI solution as a service, says that down the road, it will prioritize product development for conditions that incur higher social costs, such as cerebrovascular and cardiovascular diseases.

China is funding the future of American biotech

Silicon Valley is in the midst of a health craze, and it is being driven by “Eastern” medicine.

It’s been a record year for US medical investing, but investors in Beijing and Shanghai are now increasingly leading the largest deals for US life science and biotech companies. In fact, Chinese venture firms have invested more this year into life science and biotech in the US than they have back home, providing financing for over 300 US-based companies, per Pitchbook. That’s the story at Viela Bio, a Maryland-based company exploring treatments for inflammation and autoimmune diseases, which raised a $250 million Series A led by three Chinese firms.

Chinese capital’s newfound appetite also flows into the mainland. Business is booming for Chinese medical startups, who are also seeing the strongest year of venture investment ever, with over one hundred companies receiving $4 billion in investment.

As Chinese investors continue to shift their strategies towards life science and biotech, China is emphatically positioning itself to be a leader in medical investing with a growing influence on the world’s future major health institutions.

Chinese VCs seek healthy returns

We like to talk about things we can interact with or be entertained by. And so as nine-figure checks flow in and out of China with stunning regularity, we fixate on the internet giants, the gaming leaders or the latest media platform backed by Tencent or Alibaba.

However, if we follow the money, it’s clear that the top venture firms in China have actually been turning their focus towards the country’s deficient health system.

A clear leader in China’s strategy shift has been Sequoia Capital China, one of the country’s most heralded venture firms tied to multiple billion-dollar IPOs just this year.

Historically, Sequoia didn’t have much interest in the medical sector.  Health was one of the firm’s smallest investment categories, and it participated in only three health-related deals from 2015-16, making up just 4% of its total investing activity. 

Recently, however, life sciences have piqued Sequoia’s fascination, confirms a spokesperson with the firm.  Sequoia dove into six health-related deals in 2017 and has already participated in 14 in 2018 so far.  The firm now sits among the most active health investors in China and the medical sector has become its second biggest investment area, with life science and biotech companies accounting for nearly 30% of its investing activity in recent years.

Health-related investment data for 2015-18 compiled from Pitchbook, Crunchbase, and SEC Edgar

There’s no shortage of areas in need of transformation within Chinese medical care, and a wide range of strategies are being employed by China’s VCs. While some investors hope to address influenza, others are focused on innovative treatments for hypertension, diabetes and other chronic diseases.

For instance, according to the Chinese Journal of Cancer, in 2015, 36% of world’s lung cancer diagnoses came from China, yet the country’s cancer survival rate was 17% below the global average. Sequoia has set its sights on tackling China’s high rate of cancer and its low survival rate, with roughly 70% of its deals in the past two years focusing on cancer detection and treatment.

That is driven in part by investments like the firm’s $90 million Series A investment into Shanghai-based JW Therapeutics, a company developing innovative immunotherapy cancer treatments. The company is a quintessential example of how Chinese VCs are building the country’s next set of health startups using their international footprints and learnings from across the globe.

Founded as a joint-venture offshoot between US-based Juno Therapeutics and China’s WuXi AppTec, JW benefits from Juno’s experience as a top developer of cancer immunotherapy drugs, as well as WuXi’s expertise as one of the world’s leading contract research organizations, focusing on all aspects of the drug R&D and development cycle.

Specifically, JW is focused on the next-generation of cell-based immunotherapy cancer treatments using chimeric antigen receptor T-cell (CAR-T) technologies. (Yeah…I know…) For the WebMD warriors and the rest of us with a medical background that stopped at tenth-grade chemistry, CAR-T essentially looks to attack cancer cells by utilizing the body’s own immune system.

Past waves of biotech startups often focused on other immunologic treatments that used genetically-modified antibodies created in animals.  The antibodies would effectively act as “police,” identifying and attaching to “bad guy” targets in order to turn off or quiet down malignant cells.  CAR-T looks instead to modify the body’s native immune cells to attack and kill the bad guys directly.

Chinese VCs are investing in a wide range of innovative life science and biotech startups. (Photo by Eugeneonline via Getty Images)

The international and interdisciplinary pedigree of China’s new medical leaders not only applies to the organizations themselves but also to those running the show.

At the helm of JW sits James Li.  In a past life, the co-founder and CEO held stints as an executive heading up operations in China for the world’s biggest biopharmaceutical companies including Amgen and Merck.  Li was also once a partner at the Silicon Valley brand-name investor, Kleiner Perkins.

JW embodies the benefits that can come from importing insights and expertise, a practice that will come to define the companies leading the medical future as the country’s smartest capital increasingly finds its way overseas.

GV and Founders Fund look to keep the Valley competitive

Despite heavy investment by China’s leading VCs, Silicon Valley is doubling down in the US health sector.  (AFP PHOTO / POOL / JASON LEE)

Innovation in medicine transcends borders. Sickness and death are unfortunately universal, and groundbreaking discoveries in one country can save lives in the rest.

The boom in China’s life science industry has left valuations lofty and cross-border investment and import regulations in China have improved.

As such, Chinese venture firms are now increasingly searching for innovation abroad, looking to capitalize on expanding opportunities in the more mature US medical industry that can offer innovative technologies and advanced processes that can be brought back to the East.

In April, Qiming Venture Partners, another Chinese venture titan, closed a $120 million fund focused on early-stage US healthcare. Qiming has been ramping up its participation in the medical space, investing in 24 companies over the 2017-18 period.

New firms diving into the space hasn’t frightened the Bay Area’s notable investors, who have doubled down in the US medical space alongside their Chinese counterparts.

Partner directories for America’s most influential firms are increasingly populated with former doctors and medically-versed VCs who can find the best medical startups and have a growing influence on the flow of venture dollars in the US.

At the top of the list is Krishna Yeshwant, the GV (formerly Google Ventures) general partner leading the firm’s aggressive push into the medical industry.

Krishna Yeshwant (GV) at TechCrunch Disrupt NY 2017

A doctor by trade, Yeshwant’s interest runs the gamut of the medical spectrum, leading investments focusing on anything from real-time patient care insights to antibody and therapeutic technologies for cancer and neurodegenerative disorders.

Per data from Pitchbook and Crunchbase, Krishna has been GV’s most active partner over the past two years, participating in deals that total over a billion dollars in aggregate funding.

Backed by the efforts of Yeshwant and select others, the medical industry has become one of the most prominent investment areas for Google’s venture capital arm, driving roughly 30% of its investments in 2017 compared to just under 15% in 2015.

GV’s affinity for medical-investing has found renewed life, but life science is also part of the firm’s DNA.  Like many brand-name Valley investors, GV founder Bill Maris has long held a passion for the health startups.  After leaving GV in 2016, Maris launched his own fund, Section 32, focused specifically on biotech, healthcare and life sciences. 

In the same vein, life science and health investing has been part of the lifeblood for some major US funds including Founders Fund, which has consistently dedicated over 25% of its deployed capital to the space since at least 2015.

The tides may be changing, however, as the recent expansion of oversight for the Committee on Foreign Investment in the United States (CFIUS) may severely impact the flow of Chinese capital into areas of the US health sector. 

Under its extended purview, CFIUS will review – and possibly block – any investment or transaction involving a foreign entity related to the production, design or testing of technology that falls under a list of 27 critical industries, including biotech research and development.

The true implications of the expanded rules will depend on how aggressively and how often CFIUS exercises its power.  But a lengthy review process and the threat of regulatory blocks may significantly increase the burden on Chinese investors, effectively shutting off the Chinese money spigot.

Regardless of CFIUS, while China’s active presence in the US health markets hasn’t deterred Valley mainstays, with a severely broken health system and an improved investment environment backed by government support, China’s commitment to medical innovation is only getting stronger.

VCs target a disastrous health system

Deficiencies in China’s health sector has historically led to troublesome outcomes.  Now the government is jump-starting investment through supportive policy. (Photo by Alexander Tessmer / EyeEm via Getty Images)

They say successful startups identify real problems that need solving. Marred with inefficiencies, poor results, and compounding consumer frustration, China’s health industry has many

Outside of a wealthy few, citizens are forced to make often lengthy treks to overcrowded and understaffed hospitals in urban centers.  Reception areas exist only in concept, as any open space is quickly filled by hordes of the concerned, sick, and fearful settling in for wait times that can last multiple days. 

If and when patients are finally seen, they are frequently met by overworked or inexperienced medical staff, rushing to get people in and out in hopes of servicing the endless line behind them. 

Historically, when patients were diagnosed, treatment options were limited and ineffective, as import laws and affordability issues made many globally approved drugs unavailable.

As one would assume, poor detection and treatment have led to problematic outcomes. Heart disease, stroke, diabetes and chronic lung disease accounts for 80% of deaths in China, according to a recent report from the World Bank

Recurring issues of misconduct, deception and dishonesty have amplified the population’s mounting frustration.

After past cases of widespread sickness caused by improperly handled vaccinations, China’s vaccine crisis reached a breaking point earlier this year.  It was revealed that 250,000 children had been given defective and fallacious rabies vaccinations, a fact that inspectors had discovered months prior and swept under the rug.

Fracturing public trust around medical treatment has serious, potentially destabilizing effects. And with deficiencies permeating nearly all aspects of China’s health and medical infrastructure, there is a gaping set of opportunities for disruptive change.

In response to these issues, China’s government placed more emphasis on the search for medical innovation by rolling out policies that improve the chances of success for health startups, while reducing costs and risk for investors.

Billions of public investment flooded into the life science sector, and easier approval processes for patents, research grants, and generic drugs, suddenly made the prospect of building a life science or biotech company in China less daunting. 

For Chinese venture capitalists, on top of financial incentives and a higher-growth local medical sector, loosening of drug import laws opened up opportunities to improve China’s medical system through innovation abroad.

Liquidity has also improved due to swelling global interest in healthcare. Plus, the Hong Kong Stock Exchange recently announced changes to allow the listing of pre-revenue biotech companies.

The changes implemented across China’s major institutions have effectively provided Chinese health investors with a much broader opportunity set, faster growth companies, faster liquidity, and increased certainty, all at lower cost.

However, while the structural and regulatory changes in China’s healthcare system has led to more medical startups with more growth, it hasn’t necessarily driven quality.

US and Western investors haven’t taken the same cross-border approach as their peers in Beijing. From talking with those in the industry, the laxity of the Chinese system, and others, have made many US investors weary of investing in life science companies overseas.

And with the Valley similarly stepping up its focus on startups that sprout from the strong American university system, bubbling valuations have started to raise concern.

But with China dedicating more and more billions across the globe, the country is determined to patch the massive holes in its medical system and establish itself as the next leader in international health innovation.