PropTech startup Kodit.io raises $13M to automate house buying and selling

As anyone who has ever tried to buy or sell a home knows, the entire process can be the most stressful of one’s life. Traditional real estate agents rarely make the process any less stressful, leaving the industry ripe for disruption by tech companies which can automate many of the existing processes.

Startups like Offerpad in the US have done just this by becoming an on-demand, tech-enabled direct home buyer and seller, and raising as much as $155M in VC to achieve this. The market in Europe is less well developed, which is why it’s clearly interesting that Kodit.io, a Finnish Proptech company that gives homeowners a “stress-free way to quickly sell their homes for a fair price”, has announced the close of a €12M ($13.4M) venture round to fund expansion in Europe.

Investors include New York-based FJ Labs, Austrian Speedinvest and Spanish All Iron Ventures, as well as Norwegian Adevinta (formerly Schibsted Marketplaces) that owns leading marketplaces in 16 different countries. Kodit.io previously raised €2M in seed capital and is planning to use its new funding to strengthen its expansion to new markets.

Kodit.io is a so-called iBuyer that offers home sellers ‘fair cash offers’ for their properties within 24 hours based on market assessments using machine learning. After purchase, Kodit.io renovates the properties to offer home buyers move-in ready and risk-free homes to buy, they say.

The idea is to disrupt the outdated and time consuming process of selling residential real estate on the retail side, while bringing more transparency and liquidity to housing markets on the B2B side.

Kodit.io launched in Madrid two years ago, and is also operating in Tallinn and six cities in Finland. Later this year, the startup expects to expand to Paris, Barcelona and Warsaw.

Hugo Mardomingo, Principal of All Iron Ventures, commented: “The real estate market is undergoing a strong transformation. Kodit.io brings a transparent and disruptive model to the table to eliminate the friction experienced by home buyers and sellers.”

China says it will ‘soon grant’ 5G licenses for commercial use

There’s a widely accepted method to interpret China’s official announcements: the shorter the news, the heavier it is. Today, in one concise sentence, the Ministry of Industry and Information Technology, China’s telecom regulator, announced that it will “soon grant 5G licenses for commercial use.”

That’s according to the Communist Party newspaper People’s Daily. TechCrunch reported four months ago that China planned to “fast-track” the commercial use of the next-gen networking technology at a time when Huawei, the champion of the country’s 5G development, faces mounting pressure in the west.

It manages to find allies in other parts of the world. Just last week, the Shenzhen-based telecom giant launched a 5G lab in South Korea but decided to keep the event “low-key,” Reuters reported, notably because the Asian country is a security ally of the U.S.

The acceleration of 5G licensing in China will also be a potential boost to the domestic economy, as it will “drum up demand with upgraded technology experiences across devices, automotive and manufacturing leveraging 5G technology,” Neil Shah, research director at Counterpoint Research, told TechCrunch in a previous interview.

5G technologies are expected to generate 6.3 trillion yuan ($947 billion) worth of economic output and 8 million jobs for China by 2030, according to a white paper released by the China Academy of Information and Communications Technology.

Science publisher IEEE lifts ban on Huawei reviewers

After a temporary ban, the Institute of Electrical and Electronics Engineers, commonly known as the IEEE, announced on Monday it has lifted curbs on editors and peer-reviewers that work for Huawei and the Chinese firm’s affiliates.

The reversal is yet another example of the regulatory murkiness in the U.S.-China trade negotiations. In response to the U.S.’s order to bar American companies from conducting businesses with Huawei without government approval, the New York-based scientists’ association last week restricted Huawei and affiliated firms from its peer-review process.

The IEEE said then that the ban should have a “minimal impact” on its members around the world and assured that Huawei was still allowed to submit papers, attend IEEE-hosted conferences and participated in other activities that are open to the public.

The IEEE said it’s revoked the ban on Huawei after consulting the U.S. Department of Commerce on whether the export control restrictions apply to its own publication activities. The association did not provide further details on the exemption, but the move seems consistent with the temporary reprieve that Huawei received from the Commerce Department, as Eurasia Group’s head of geo-technology Paul Triolo pointed out:

Here’s the rule detailing the exemption from the Bureau of Industry and Security, which is an agency of the Department of Commerce:

4. Engagement as Necessary for Development of 5G Standards by a Duly Recognized Standards Body: BIS authorizes, subject to other provisions of the EAR, engagement with Huawei and/or the sixty-eight non-U.S. affiliates as necessary for the development of 5G standards as part of a duly recognized international standards body (e.g., IEEE—Institute of Electrical and Electronics Engineers; IETF—internet Engineering Task Force; ISO—International Organization for Standards; ITU—International Telecommunications Union; ETSI- European Telecommunications Standards Institute; 3GPP—3rd Generation Partnership Project; TIA—Telecommunications Industry Association; and GSMA, a.k.a., GSM Association, Global System for Mobile Communications).

“Our initial, more restrictive approach was motivated solely by our desire to protect our volunteers and our members from legal risk. With the clarification received, this risk has been addressed,” the IEEE said in a statement.

The curbs, though short-lived, has sparked a major backlash in the global academic community, with professors from top-tier universities like Zhang Haixia at Peking University resigning from the IEEE boards in protest of the ban.

Where are all the biotech startups raising?

Where are all the biotechnology companies raising these days? We crunched some numbers to arrive at an answer.

Using funding rounds data from Crunchbase, we plotted the count of venture capital funding rounds raised by companies in the fairly expansive biotechnology category in Crunchbase. Click the chart below and you can hover over individual data points to see the number of venture rounds raised in a given metro area between the start of 2018 and late May 2019 (as of publication). Although there are biotechnology companies located throughout the world, we focused here on just the U.S.

USA_Biotech_2018-May2019

Unlike in the software-funding business, where New York City (and its surrounding area) ranks second in overall deal volume, the greater Boston metro area outranks the Big Apple in biotech venture deal volume. The SF Bay Area (which includes both San Francisco and the towns in Silicon Valley north and west of San Jose) outranks Boston in biotech deal volume, but, then again, it’s also a much larger geographic area with a higher density of startups overall.

The bio business model breeds big deals

Crunchbase News recently covered a $120 million round raised by immunotherapy upstart AlloVir. In the software business, a raise that large would be notable; however, in the business of biology, not so much.

Just for reference, the average Series B round raised by U.S. enterprise software startups between 2018 and May 2019 was about $22.7 million. The average Series B for biotech companies from that same time period: just about $40 million on the dot.

Spinning up a cluster of cells at a lab bench is costlier, harder to do and the outcomes of experiments are less certain than the results of implementing a new software framework. Add to that the tremendous cost of performing clinical trials and clearing regulatory hurdles — all before costly sales and marketing campaigns to get treatments in front of doctors and end users — and it’s easy to understand why many biotechnology companies need to raise so much money in the early stages of the startup cycle.

China lays out official stance on trade talks with U.S.

On Sunday, China released a comprehensive white paper to formalize its positions on trade negotiations with the U.S. The set of statements come as the trade war escalates and Beijing threatens to hit back with a retaliatory blacklist of U.S. firms. Here are some key takeaways from the press conference announcing the white paper:

U.S. ‘responsible’ for stalled trade talks

The “U.S. government bears responsibility” for setbacks in trade talks, chided the paper, adding that the U.S. has imposed additional tariffs on Chinese goods that impede economic cooperation between the two countries and globally.

While it’s “common” for both sides to propose “adjustments to the text and language” in ongoing negotiations, the U.S. administration “kept changing its demands” in the “previous more than ten rounds of negotiations,” the paper alleged.

On the other hand, reports of China backtracking on previous trade deals are mere “mudslinging,” Wang Shouwen, the Chinese vice minister of commerce and deputy China international trade representative, said as he led the Sunday presser.

China ready to fight if forced to

China does not want a trade war with the U.S, but it’s not afraid of one and will fight one if necessary, said the white paper.

Beijing’s position on trade talks has never changed — that cooperation serves the interests of both countries and conflict can only hurt both — according to the paper. CNBC’s Eunice Yoon pointed out that Beijing’s latest stance repeats previous statements made back in September.

Deals must be equal

Difference and frictions remain on the economic and trade fronts between the two countries, but China is willing to work with the U.S. to reach a “mutually beneficial and win-win agreement,” stated the paper. However, cooperation has to be based on principles and must not compromise China’s core interests.

“Nothing is agreed until everything is agreed,” Wang said.

He said one needs not “overinterpret” China’s soon-to-come entity list, adding that it mainly targets foreign companies that run against market rules and violate the spirit of contracts, cut off supplies to Chinese firms for uncommercial reasons, damage the legitimate rights of Chinese companies, or threaten China’s national security and public interests.

China respects IP rights

The paper also touched on issues that are at the center of the prolonged U.S.-China trade dispute, including China’s dealings with intellectual property rights. U.S. allegations of China over IP theft are “an unfounded fabrication,” said the white paper, adding that China has made great efforts in recent years to protect and enforce IP rights.

Wang claimed that China pays the U.S. a significant sum to license IP rights every year. Of the $35.6 billion it shelled out for IP fees in 2018, nearly a quarter went to the U.S.

Investments are mutually beneficial

The white paper claimed that bilateral investments between the two countries are mutually beneficial rather than undermining for U.S. interests when taken account of “trade in goods and services as well as two-way investment.”

The Chinese government also pushed back at claims that it exerts influence on businesses’ overseas investments.

“The government is not involved in companies’ business activities and does not ask them to make specific investments or acquisitions,” said Wang. “Even if we make such requests, companies won’t obey.”

In response to China’s probe into FedEx over Huawei packages that went stray, Wang assured that “foreign businesses are welcome to operate legally in China, but when they break rules, they have to cooperate with regulatory investigations. That’s indisputable.”

The Shenzhen-based smartphone and telecom giant has been hit hard by during the trade negotiations as the Trump administration orders U.S. businesses to sever ties with the Chinese firm.

Foxconn halts production lines for Huawei phones, according to reports

Huawei, the Chinese technology giant whose devices are at the center of a far-reaching trade dispute between the U.S. and Chinese governments, is reducing orders for new phones, according to a report in The South China Morning Post.

According to unnamed sources, the Taiwanese technology manufacturer Foxconn has halted production lines for several Huawei phones after the Shenzhen-based company reduced orders. Foxconn also makes devices for most of the major smart phone vendors including Apple and Xiaomi (in addition to Huawei).

In the aftermath of President Donald Trump’s declaration of a “national emergency” to protect U.S. networks from foreign technologies, Huawei and several of its affiliates were barred from acquiring technologies from U.S. companies.

The blacklist has impacted multiple lines of Huawei’s business including it handset manufacturing capabilities given the company’s reliance on Google’s Android operating system for its smartphones.

In May, Google reportedly suspended business with Huawei, according to a Reuters report. Last year, Huawei shipped over 200 million handsets and the company had a stated goal to become the world’s largest vendor of smartphones by 2020.

These reports from The South China Morning Post are the clearest indication that the ramifications of the U.S. blacklisting are beginning to be felt across Huawei’s phone business outside of China.

Huawei was already under fire for security concerns, and will be forced to contend with more if it can no longer provide Android updates to global customers.

Contingency planning is already underway at Huawei. The company has built its own Android -based operating system, and can use the stripped down, open source version of Android that ships without Google Mobile Services. For now, its customers also still have access to Google’s app store. But if the company is forced to make developers sell their apps on a siloed Huawei-only store, it could face problems from users outside of China.

Huawei and the Chinese government are also retaliating against the U.S. efforts. The company has filed a legal motion to challenge the U.S. ban on its equipment, calling it “unconstitutional.”  And Huawei has sent home its American employees deployed at R&D functions at its Shenzhen headquarters.

It has also asked its Chinese employees to limit conversations with overseas visitors, and cease any technical meetings with their U.S. contacts.

Still, any reduction in orders would seem to indicate that the U.S. efforts to stymie Huawei’s expansion (at least in its smartphone business) are having an impact.

A spokesperson for Huawei U.S. did not respond to a request for comment.

Targeted ads offer little extra value for online publishers, study suggests

How much value do online publishers derive from behaviorally targeted advertising that uses privacy-hostile tracking technologies to determine which advert to show a website user?

A new piece of research suggests publishers make just 4% more vs if they were to serve a non-targeted ad.

It’s a finding that sheds suggestive light on why so many newsroom budgets are shrinking and journalists finding themselves out of work — even as adtech giants continue stuffing their coffers with massive profits.

Visit the average news website lousy with third party cookies (yes, we know, it’s true of TC too) and you’d be forgiven for thinking the publisher is also getting fat profits from the data creamed off their users as they plug into programmatic ad systems that trade info on Internet users’ browsing habits to determine the ad which gets displayed.

Yet while the online ad market is massive and growing — $88BN in revenues in the US in 2017, per IAB data, a 21% year-on-year increase — publishers are not the entities getting filthy rich off of their own content.

On the contrary, research in recent years has suggested that a large proportion of publishers are being squeezed by digital display advertising economics, with some 40% reporting either stagnant or shrinking ad revenue, per a 2015 Econsultancy study. (Hence, we can posit, the rise in publishers branching into subscriptions — TC’s own offering can be found here: Extra Crunch).

The lion’s share of value being created by digital advertising ends up in the coffers of adtech giants, Google and Facebook . Aka the adtech duopoly. In the US, the pair account for around 60% of digital ad market spending, per eMarketer — or circa $76.57BN.

Their annual revenues have mirrored overall growth in digital ad spend — rising from $74.9BN to $136.8BN, between 2015 and 2018, in the case of Google’s parent Alphabet; and $17.9BN to $55.8BN for Facebook. (While US online ad spend stepped up from $59.6BN to $88BN between 2015 and 2017.)

eMarketer projects 2019 will mark the first decline in the duopoly’s collective share. But not because publishers’ fortunes are suddenly set for a bonanza turnaround. Rather another tech giant — Amazon — has been growing its share of the digital ad market, and is expected to make what eMarketer dubs the start of “a small dent in the duopoly”.

Behavioral advertising — aka targeted ads — has come to dominate the online ad market, fuelled by platform dynamics encouraging a proliferation of tracking technologies and techniques in the unregulated background. And by, it seems, greater effectiveness from the perspective of online advertisers, as the paper notes. (“Despite measurement and attribution challenges… many studies seem to concur that targeted advertising is beneficial and effective for advertising firms.”

This has had the effect of squeezing out non-targeted display ads, such as those that rely on contextual factors to select the ad — e.g. the content being viewed, device type or location.

The latter are now the exception; a fall-back such as for when cookies have been blocked. (Albeit, one that veteran pro-privacy search engine, DuckDuckGo, has nonetheless turned into a profitable contextual ad business).

One 2017 study by IHS Markit, suggested that 86% of programmatic advertising in Europe was using behavioural data. While even a quarter (24%) of non-programmatic advertising was found to be using behavioural data, per its model. 

“In 2016, 90% of the digital display advertising market growth came from formats and processes that use behavioural data,” it observed, projecting growth of 106% for behaviourally targeted advertising between 2016 and 2020, and a decline of 63.6% for forms of digital advertising that don’t use such data.

The economic incentives to push behavioral advertising vs non-targeted ads look clear for dominant platforms that rely on amassing scale — across advertisers, other people’s eyeballs, content and behavioral data — to extract value from the Internet’s dispersed and diverse audience.

But the incentives for content producers to subject themselves — and their engaged communities of users — to these privacy-hostile economies of scale look a whole lot more fuzzy.

Concern about potential imbalances in the online ad market is also leading policymakers and regulators on both sides of the Atlantic to question the opacity of the market — and call for greater transparency.

A price on people tracking’s head

The new research, which will be presented at the Workshop on the Economics of Information Security conference in Boston next week, aims to contribute a new piece to this digital ad revenue puzzle by trying to quantify the value to a single publisher of choosing ads that are behaviorally targeted vs those that aren’t.

We’ve flagged the research before — when the findings were cited by one of the academics involved in the study at an FTC hearing — but the full paper has now been published.

It’s called Online Tracking and Publishers’ Revenues: An Empirical Analysis, and is co-authored by three academics: Veronica Marotta, an assistant professor in information and decision sciences at the Carlson School of Management, University of Minnesota; Vibhanshu Abhishek, associate professor of information systems at the Paul Merage School of Business, University California Irvine; and Alessandro Acquisti, professor of IT and public policy at Carnegie Mellon University.

“While the impact of targeted advertising on advertisers’ campaign effectiveness has been vastly documented, much less is known about the value generated by online tracking and targeting technologies for publishers – the websites that sell ad spaces,” the researchers write. “In fact, the conventional wisdom that publishers benefit too from behaviorally targeted advertising has rarely been scrutinized in academic studies.”

“As we briefly mention in the paper, notwithstanding claims about the shared benefits of online tracking and behaviorally targeting for multiple stakeholders (merchants, publishers, consumers, intermediaries…), there is a surprising paucity of empirical estimates of economic outcomes from independent researchers,”  Acquisti also tells us.

In fact, most of the estimates focus on the advertisers’ side of the market (for instance, there have been quite a few studies estimating the increase in click-through or conversion rates associated with targeted ads); much less is known about the publishers’ side of the market. So, going into the study, we were genuinely curious about what we may find, as there was little in terms of data that could anchor our predictions.

“We did have theoretical bases to make possible predictions, but those predictions could be quite antithetical. Under one story, targeting increases the value of the audience, which increases advertisers’ bids, which increases publishers’ revenues; under a different story, targeting decreases the ‘pool’ of audience interested in an ad, which decreases competition to display ads, which reduces advertisers’ bids, eventually reducing publishers’ revenues.”

For the study the researchers were provided with a data-set comprising “millions” of display ad transactions completed in a week across multiple online outlets owned by a single (unidentified) large publisher which operates websites in a range of verticals such as news, entertainment and fashion.

The data-set also included whether or not the site visitor’s cookie ID is available — enabling analysis of the price difference between behaviorally targeted and non-targeted ads. (The researchers used a statistical mechanism to control for systematic differences between users who impede cookies.)

As noted above, the top-line finding is only a very small gain for the publisher whose data they were analyzing — of around 4%. Or an average increase of $0.00008 per advertisement. 

It’s a finding that contrasts wildly with some of the loud yet unsubstantiated opinions which can be found being promulgated online — claiming the ‘vital necessity’ of behavorial ads to support publishers/journalism.

(For example, this article, published earlier this month by a freelance journalist writing for The American Prospect, includes the claim that: “An online advertisement without a third-party cookie sells for just 2 percent of the cost of the same ad with the cookie.” Yet does not specify a source for the statistic it cites. We’ve asked the author for the reference she was using and will update if we get a response.)

At the same time policymakers in the US now appear painfully aware how far behind Europe they are lagging where privacy regulation is concerned — and are fast dialling up their scrutiny of and verbal horror over how Internet users are tracked and profiled by adtech giants.

At a Senate Judiciary Committee hearing earlier this month — convened with the aim of “understanding the digital ad ecosystem and the impact of data privacy and competition policy” — the talk was not if to regulate big tech but how hard they must crack down on monopolistic ad giants.

“That’s what brings us here today. The lack of choice [for consumers to preserve their privacy online],” said senator Richard Blumenthal. “The excessive and extraordinary power of Google and Facebook and others who dominate the market is a fact of life. And so privacy protection is absolutely vital in the short run.”

The kind of “invasive surveillance” that the adtech industry systematically deploys is “something we would never tolerate from a government but Facebook and Google have the power of government never envisaged by our founders,” Blumenthal went on, before a few of the types of personal data that are sucked up and exploited by the adtech industrial surveillance complex: “Health, dating, location, finance, extremely personal details — offered to anyone with almost no restraint.”

Bearing that “invasive surveillance” in mind, a 4% publisher ‘premium’ for privacy-hostile ads vs adverts that are merely contextually served (and so don’t require pervasive tracking of web users) starts to look like a massive rip off — of both publisher brand and audience value, as well as Internet users’ rights and privacy.

Yes, targeted ads do appear to generate a small revenue increase, per the study. But as the researchers also point out that needs to be offset against the cost to publishers of complying with privacy regulations.

“If setting tracking cookies on visitors was cost free, the website would definitely be losing money. However, the widespread use of tracking cookies – and, more broadly, the practice of tracking users online – has been raising privacy concerns that have led to the adoption of stringent regulations, in particular in the European Union,” they write — going on to cite an estimate by the International Association of Privacy Professionals that Fortune’s Global 500 companies will spend around $7.8BN on compliant costs to meet the requirements of Europe’s General Data Protection Regulation (GDPR). 

Wider costs to systematically eroding online privacy are harder to put a value on for publishers. But should also be considered — whether it’s the costs to a brand reputation and user loyalty as a result of a publisher larding their sites with unwanted trackers; to wider societal costs — linked to the risks of data-fuelled manipulation and exploitation of vulnerable groups. Simply put, it’s not a good look.

Publishers may appear complicit in the asset stripping of their own content and audiences for what — per this study — seems only marginal gain, but the opacity of the adtech industry implies that most likely don’t realize exactly what kind of ‘deal’ they’re getting at the hands of the ad giants who grip them.

Which makes this research paper a very compelling read for the online publishing industry… and, well, a pretty awkward newsflash for anyone working in adtech.

 

While the study only provides a snapshot of ad market economics, as experienced by a single publisher, the glimpse it presents is distinctly different from the picture the adtech lobby has sought to paint, as it has ploughed money into arguing against privacy legislation — on the claimed grounds that ‘killing behavioural advertising would kill free online content’. 

Saying no more creepy ads might only marginally reduce publishers’ revenue doesn’t have quite the same doom-laden ring, clearly.

“In a nutshell, this study provides an initial data point on a portion of the advertising ecosystem over which claims had been made but little empirical verification was completed. The results highlight the need for more transparency over how the value generated by flows of data gets allocated to different stakeholders,” says Acquisti, summing up how the study should be read against the ad market as a whole.

Contacted for a response to the research, Randall Rothenberg, CEO of advertising business organization, the IAB, agreed that the digital supply chain is “too complex and too opaque” — and also expressed concern about how relatively little value generated by targeted ads is trickling down to publishers.

“One week’s worth of data from one unidentified publisher does not make for a projectible (sic) piece of research. Still, the study shows that targeted advertising creates immense value for brands — more than 90% of the unnamed publisher’s auctioned ads were sold with targeting attached, and advertisers were willing to pay a 60% premium for those ads. Yet very little of that value flowed to the publisher,” he told TechCrunch. “As IAB has been saying for a decade, the digital supply chain is too complex and too opaque, and this diversion of value is more proof that transparency is required so that publishers can benefit from the value they create.”

The research paper includes discussion of the limitations to the approach, as well as ideas for additional research work — such as looking at how the value of cookies changes depending on how much information they contain (on that they write of their initial findings: “Information seem to be very valuable (from the publisher’s perspective) when we compare cookies with very little information to cookies with some information; after a certain point, adding more information to a cookie does not seem to create additional value for the publisher”); and investigating how “the (un)availability of a cookie changes the competition in the auction” — to try to understand ad auction competition dynamics and the potential mechanisms at play.

“This is one new and hopefully useful data point, to which others must be added,” Acquisti also told us in concluding remarks. “The key to research work is incremental progress, with more studies progressively adding a clearer understanding of an issue, and we look forward to more research in this area.”

Security startup Bugcrowd on crowdsourcing bug bounties: ‘Cybersecurity is a people problem’

For a cybersecurity company, Bugcrowd relies much more on people than it does on technology.

For as long as humans are writing software, developers and programmers are going to make mistakes, said Casey Ellis, the company’s founder and chief technology officer in an interview TechCrunch from his San Francisco headquarters.

“Cybersecurity is fundamentally a people problem,” he said. “Humans are actually the root of the problem,” he said. And when humans made coding mistakes that turn into bugs or vulnerabilities that be exploited, that’s where Bugcrowd comes in — by trying to mitigate the fallout before they can be maliciously exploited.

Founded in 2011, Bugcrowd is one of the largest bug bounty and vulnerability disclosure companies on the internet today. The company relies on bug finders, hackers, and security researchers to find and privately report security flaws that could damage systems or putting user data at risk.

Bugcrowd acts as an intermediary by passing the bug to the companies to get fixed — potentially helping them to dodge a future security headache like a leak or a breach — in return for payout to the finder.

The greater the vulnerability, the higher the payout.

“The space we’re in is brokering conversations between different groups of people that don’t necessarily have a good history of getting along but desperately need to talk to each other,” said Ellis.

Tesla’s new China-made Model 3 opens for pre-order with a 13% price cut

Tesla’s big bet on China-based production is key to a new effort to lure Chinese consumers with cheaper prices. Today the U.S. firm revealed that its incoming Model 3, which will be produced in China, will sell from 328,000 RMB — that’s around $47,500 and some 13 percent cheaper than its previous entry-level option.

The company opened pre-orders for the vehicle today, although it only broke ground on its Shanghai-based factory in January of this year. Customers who do plonk down cash for a pre-order this week — deposits start from 20,000 RM — can expect to receive their vehicle in 6-10 months, according to Tesla.

Despite the competitive prices, the higher spec Model 3 will continue to be shipped from the U.S, according to Reuters. The publication added that it isn’t clear if the made-in-China Tesla will qualify for EV subsidies from the government.

Beyond China, the Model 3 also went up for pre-order in Australia, Hong Kong, Japan, New Zealand, Ireland and Macau, the company said.

The Shanghai plant is expected to produce 500,000 vehicles per year when it reaches full production. The factory began hiring workers this month after job listings were published online, while videos and photos of the factory taken by Tesla enthusiasts suggest that it is nearing completion.

While it isn’t clear what margins the China-produced vehicles will bring Tesla, local manufacturing will help it avoid challenges around shipping and pricing, an issue that has been exacerbated by the ongoing U.S-China trade war.

Using augmented reality, Altoida is identifying the likely onset of neurodegenerative diseases

For the past nineteen years, Ioannis Tarnanas, the founder and chief scientific officer at Altoida, has been developing virtual and augmented reality tools to offer predictions about the onset of mental illness in older patients.

The company, whose tools have been approved by the Food and Drug Administration for predicting Alzheimer’s, claims that it can determine whether someone will present with the disease six-to-ten years before the onset of mild cognitive impairment symptoms with a 94% accuracy.

In 2019, Alzheimer’s and other dementias will cost the U.S. nearly $290 billion and that figure could rise as high as $1.1 trillion by 2050, according to Altoida.

The number of people living with Alzheimer’s disease is rapidly growing. In 2019 alone, Alzheimer’s disease and other dementias will cost the nation $290 billion. By 2050, these costs could rise as high as $1.1 trillion, but Altoida says that these costs can be prevented if the disease is caught early enough.

Altoida uses an iPad or a tablet accelerometer, a gyroscope, and touch screen sensors to detect what the company calls “micro-errors” as patients complete a series of AR and VR challenges. It’s basically a game of hide-and-seek where patients put virtual objects in different physical spaces in a clinical environment and then try to collect them.

Right now, the company’s technology is only available as a clinically supervised test in a doctor’s office, but the company is beginning to look at bringing its diagnostic tools into the home.

“In this field there are two major waves. Passive digital biomarkers and active digital biomarkers. With passive biomarkers you collect data from sensors,” says Tarnanas. “To give you an example of what this means in real life. [With passive digital biomarkers] you wind up collecting huge amounts of data and you see spikes and associate that with more everyday function or not… you are never sure whether this is due to day to day activity.”

Tarnanas started conducting longitudinal clinical trials around cognitive testing in the early 2000s while he was working on his Masters at the University of Sussex. He then moved to San Diego and worked in the Virtual Reality Medical Center before moving on to Bern Switzerland to conduct additional research. Tarnanas finally settled in Houston, where Altoida is now based.

“Developing enhanced methods to objectively evaluate cognitive function is a critical component of the next generation digital medicine — a component that is required to not only advance the basic research in neurodegenerative disease, but also one that is required for the development of improved clinical interventions,” said Dr. Walter Greenleaf, PhD, a neuroscientist and Distinguished Visiting Scholar working at the Stanford University Virtual Human Interaction Lab, in a statement. “Understanding neurodegenerative biotypes will dramatically improve our ability to conduct a differential diagnosis at the primary care level.  Improved diagnostics will provide healthcare professionals with the key information necessary to precisely adapt clinical interventions to personalize the patient’s cognitive care. This will ultimately lead to improved outcomes of care and to reduced healthcare costs.”

Some influential healthcare investors are already on board. Altoida has raised $6.3 million in a new round of financing from investors led by M Ventures, the corporate investment arm of the pharmaceutical company Merck, with additional participation from Grey Sky Venture Partners, VI Partners AG, Alpana Ventures, and FYRFLY Venture Partners.

“The beauty of active digital biomarkers is that they can actually expand to more conditions,” says Tarnanas. The company is looking at expanding its prognostic toolkits to determining lasting impacts from traumatic brain injuries, and post-operative cognitive disorder, he says.

“As the world’s effort to introduce meaningful therapies for Alzheimer’s disease inches closer and closer to success, it is clear that the greatest benefit will come to those whose disease is detected at a very early stage,” said Jonathan L. Liss, MD, Director at Columbus Memory Center and Founder of Columbus Memory Project, who has been using Altoida’s technology since September 2018. “The Altoida Neuro-Motor Index (NMI) device offers an ingenious way in which to detect early disease and track progression without prolonged cognitive testing, tissue sampling, or radiologic intervention. The Altoida NMI device is a welcome advancement to the field of cognitive health.”

Altoida isn’t alone in trying to find a way to diagnose Alzheimer’s earlier. Recently, MyndYou, a New York-based company announced a partnership with Mizuho to bring its passive prognostic toolkit to Japan. That company recently secured roughly $2 million to build out its own solution.