Battlefield
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Nearly a year after German fintech startup N26 announced that it would launch its service in the U.K., the company is launching in the U.K. N26 is already quite popular in the Eurozone, with more than 1.5 million customers. In this new market, it will face tough competition from existing players, such as Revolut, Monzo, Starling and many others.
N26 is going to roll out its product in multiple phases. Some lucky few will be able to open an account right away. The startup will then go through its waiting list — 50,000 people already left their email addresses to express interest. After that, anybody will be able to download the app and sign up.
This might sound like a convoluted process, but N26 expects a full public launch in just a few weeks. So it should be quite quick if everything goes as planned.
So what can you expect exactly? British customers will get all the basic N26 stuff with one killer feature — U.K. account numbers and sort codes. This way, customers will be able to receive payments and share banking information with their utility providers just like they would with a regular Barclays or Lloyds account.
When you open an N26 account, you get a true bank account and a MasterCard. Basic accounts are free, and N26 has a proper banking license — your deposits up to €100,000 are guaranteed by the European deposit guarantee scheme. You can then send and receive money and pay with your card. Sending money to other N26 users is instantaneous (they call it MoneyBeam).
N26 recently launched Spaces, a new feature that lets you create sub accounts and put some money aside. It’s still limited, but the company plans to add more features.
Your MasterCard works like any other challenger bank. Every time you use it, you receive a push notification. You can set payment and withdrawal limits, lock your card if you lose it and reset your PIN code. N26 will also bring Black and Metal plans to the U.K.
Let’s be honest, the elephant in the room is Revolut . The company has hundreds of thousands (if not over a million) customers in the U.K. N26 lets you do many of the things you can already do with your Revolut account.
So let me point out a few differences. As I noted, N26 has a banking license and U.K. banking information. N26 cards work in Apple Pay and Google Pay.
When it comes to international payments, N26 lets you pay with your card anywhere in the world without any additional fee. The company uses MasterCard’s conversion rates. Revolut first converts the money with its forex feature and then lets you spend your money.
There are an infinite number of forum posts about the exchange rates you’ll get. Sometimes Revolut is cheaper, sometimes N26 is cheaper. It mostly depends on the day of the week (Revolut conversion rates are more expensive on the weekend) and the currency. Unless you plan to spend tens of thousands of GBP during your vacation, you won’t see a huge difference on your bank statement.
Revolut also has many more features than N26. You can insure your phone, buy bitcoins, buy travel insurance, create virtual cards and more. It’s clear that N26 and Revolut have two different styles.
Revolut has a bigger user base than N26. But it’s always been a bit hard to compare them, as N26 wasn’t available in the U.K. Of course, they will both say there are tens of millions of people relying on old banks — multiple challenger banks can grow at the same time if they capture market share from those aging players. Still, the battle between N26 and Revolut is on.
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At the very beginning, there were 21 startups. After three days of incredibly fierce competition, we now have a winner.
Startups participating in the Startup Battlefield have all been hand-picked to participate in our highly competitive startup competition. They all presented in front of multiple groups of VCs and tech leaders serving as judges for a chance to win $100,000 and the coveted Disrupt Cup.
After hours of deliberations, TechCrunch editors pored over the judges’ notes and narrowed the list down to five finalists: CB Therapeutics, Forethought, Mira, Origami Labs and Unbound.
These startups made their way to the finale to demo in front of our final panel of judges, which included: Cyan Banister (Founders Fund), Roelof Botha (Sequoia Capital), Jeff Clavier (Uncork Capital), Kirsten Green (Forerunner Ventures), Aileen Lee (Cowboy Ventures) and Matthew Panzarino (TechCrunch).
And now, meet the Startup Battlefield winner of TechCrunch Disrupt SF 2018.
Forethought has a modern vision for enterprise search that uses AI to surface the content that matters most in the context of work. Its first use case involves customer service, but it has a broader ambition to work across the enterprise.
Read more about Forethought in our separate post.
Unbound makes fashion-forward vibrators, and their latest is the Palma. The new device masquerades as a ring, offers multiple speeds, and is completely waterproof. And the team plans to add accelerometer features.
Read more about Unbound in our separate post.

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Knowing what’s going on in your warehouses and facilities is of course critical to many industries, but regular inspections take time, money, and personnel. Why not use drones? Vtrus uses computer vision to let a compact drone not just safely navigate indoor environments but create detailed 3D maps of them for inspectors and workers to consult, autonomously and in real time.
Vtrus showed off its hardware platform — currently a prototype — and its proprietary SLAM (simultaneous location and mapping) software at TechCrunch Disrupt SF as a Startup Battlefield Wildcard company.
There are already some drone-based services for the likes of security and exterior imaging, but Vtrus CTO Jonathan Lenoff told me that those are only practical because they operate with a large margin for error. If you’re searching for open doors or intruders beyond the fence, it doesn’t matter if you’re at 25 feet up or 26. But inside a warehouse or production line every inch counts and imaging has to be carried out at a much finer scale.
As a result, dangerous and tedious inspections, such as checking the wiring on lighting or looking for rust under an elevated walkway, have to be done by people. Vtrus wouldn’t put those people out of work, but it might take them out of danger.
The drone, called the ABI Zero for now, is equipped with a suite of sensors, from ordinary RGB cameras to 360 ones and a structured-light depth sensor. As soon as it takes off, it begins mapping its environment in great detail: it takes in 300,000 depth points 30 times per second, combining that with its other cameras to produce a detailed map of its surroundings.
It uses this information to get around, of course, but the data is also streamed over wi-fi in real time to the base station and Vtrus’s own cloud service, through which operators and inspectors can access it.
The SLAM technique they use was developed in-house; CEO Renato Moreno built and sold a company (to Facebook/Oculus) using some of the principles, but improvements to imaging and processing power have made it possible to do it faster and in greater detail than before. Not to mention on a drone that’s flying around an indoor space full of people and valuable inventory.
On a full charge, ABI can fly for about 10 minutes. That doesn’t sound very impressive, but the important thing isn’t staying aloft for a long time — few drones can do that to begin with — but how quickly it can get back up there. That’s where the special docking and charging mechanism comes in.
The Vtrus drone lives on and returns to a little box, which when a tapped-out craft touches down, sets off a patented high-speed charging process. It’s contact-based, not wireless, and happens automatically. The drone can then get back in the air perhaps half an hour or so later, meaning the craft can actually be in the air for as much as six hours a day total.
Probably anyone who has had to inspect or maintain any kind of building or space bigger than a studio apartment can see the value in getting frequent, high-precision updates on everything in that space, from storage shelving to heavy machinery. You’d put in an ABI for every X square feet depending on what you need it to do; they can access each other’s data and combine it as well.
This frequency and the detail which which the drone can inspect and navigate means maintenance can become proactive rather than reactive — you see rust on a pipe or a hot spot on a machine during the drone’s hourly pass rather than days later when the part fails. And if you don’t have an expert on site, the full 3D map and even manual drone control can be handed over to your HVAC guy or union rep.
You can see lots more examples of ABI in action at the Vtrus website. Way too many to embed here.
Lenoff, Moreno, and third co-founder Carlos Sanchez, who brings the industrial expertise to the mix, explained that their secret sauce is really the software — the drone itself is pretty much off the shelf stuff right now, tweaked to their requirements. (The base is an original creation, of course.)
But the software is all custom built to handle not just high-resolution 3D mapping in real time but the means to stream and record it as well. They’ve hired experts to build those systems as well — the 6-person team already sounds like a powerhouse.
The whole operation is self-funded right now, and the team is seeking investment. But that doesn’t mean they’re idle: they’re working with major companies already and operating a “pilotless” program (get it?). The team has been traveling the country visiting facilities, showing how the system works, and collecting feedback and requests. It’s hard to imagine they won’t have big clients soon.
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Don’t call Wingly the “Uber of the Sky” — Wingly co-fonder Emeric de Waziers would like to nip that little misinterpretation in the bud as the French startup looks to expand into the U.S. If anything, the startup’s mission is more akin to carpooling for small aircrafts, helping pilots fill up empty seats in small passenger planes.
The distinction is an important one, with regard to the company’s ability to operate. After all, allowing private pilots to turn a profit changes the math significantly, both with regard to specific licenses and the company’s ability to operate inside different countries. Ninety-five percent of pilots who use the service don’t have a commercial license.
“What often happens with hobby pilots is they set a budget for the year. They’re going to fly as many times as they can with this money. If they can fly four times cheaper, they can fly four times more. We have many pilots posting what we call ‘flexible flights,’ saying, ‘hey, I’m available for a roundtrip from San Francisco to Tahoe.’ The passenger says they’re interested and they book the flight.”
Founded in July 2015, the company faced regulatory challenges early on in its native France. It was enough to cause Wingly to relocate operations, setting up shop in Germany in February of the following year. That launch was a sort of a proof of concept for the novel flight booking app. It was successful enough to convince Wingly to take on its home country again, pushing back against French regulatory bodies.
These days, it operates in Germany, France and the UK, with those markets composing 45, 30 and 20 percent of the company’s business, respectively (with the other five percent belonging to various parts of Europe). Wingly’s flight matching service currently hosts around 2,000 passengers a month, with each flight averaging about 1.8 passengers.
It’s not a huge number, but, then, these aren’t huge planes, with the prop and twin-engine crafts sporting between two and six seats each. Profitability for Wingly means pushing into high volume numbers, but the current pace has been successful enough for the startup to begin pursuing the U.S. as its next major market — a move the company plans to begin in earnest as a Battlefield contestant at Disrupt today in San Francisco.
Currently, Wingly takes a 15-percent commission on each flight, along with a €5 charge. The company has also raised €2.5 million including a €2 million seed round back in December. It’s been enough funding to help the company thrive in Europe, but coming to the States will require additional cash, particularly its current launch time frame of early 2019. From there, Wingly hopes to reach numbers comparable to the business it’s doing in Europe by August/September of next year.
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Kinta AI aims to make manufacturers smarter about how they deploy their equipment and other factory resources.
The company, which is presenting today at TechCrunch’s Startup Battlefield in San Francisco, was founded by a team with plenty of experience in finance, tech and AI.
CEO Steven Glinert has held management and AI roles at fintech startups, CTO Rob Donnelly is studying the intersection of machine learning and economics as a Ph.D. candidate at Stanford and VP of Engineering Ben Zax has worked at both Facebook and Google.
Glinert told me that when factory owners are making production decisions, they’re usually relying on “dumb software” to decide which machines should be used when, which can result in machines being deployed at the wrong time or in the wrong sequence, or sitting idle when they shouldn’t be. As a result, he said that scheduling errors account for 45 percent of late manufacturing orders.
So Kinta AI tries to solve this problem with artificial intelligence, specifically reinforcement learning. Glinert said the company will run “millions and millions of factory simulations,” where the system gains “a statistical understanding of how your factory works and learning what actions you do to get what result” — and it can then use those simulations to choose the best schedule.
“We run through, not every possible scenario, but we try to go through some of those,” he said.

Glinert added that Kinta AI works with its customers to understand the nuances of each factory. He also compared the technology to Google’s AlphaGo AI and OpenAI’s Dota 2 neural networks — except that instead of using AI to play Go or Dota 2, Gilnert said Kinta AI is utilizing it “to do these detailed production planning decisions that are being made on the factory floor.”
“Not all factories are that dissimilar from each other,” he said — similar to how “if you learned how to play Go, you can easily teach that neural net how to play chess or other game of that type.”
And Kinta AI already has some customers, including chemical manufacturer BASF and a medical device manufacturer.
Ultimately, Glinert said Kinta AI could become a crucial part of the manufacturing process. He predicted that “in the factory of the future, there will be fewer people and more automation, with a vast environment of Internet of Things devices.”
In that environment, he wants Kinta AI to be “the manufacturer execution system.”
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Mira, launching today at TechCrunch Disrupt SF 2018, is a new device that aims to help women who are struggling to conceive. The Mira Fertility system offers personalized cycle prediction by measuring fertility hormone concentrations in urine samples, telling women which days they’re fertile. The system is more advanced and accurate than the existing home test kits, the company claims, which can be hard to read and aren’t personalized to the individual.
The company behind Mira, Quanovate, was founded in late 2015 by a group of scientists, engineers, OBGYN doctors, and business execs to solve the problem of the unavailability of advanced home health testing.
“I have a lot of friends who, like me, [prioritized] their career advancement and higher education, and they tended to delay their maternal age,” explains Mira co-founder and CEO Sylvia Kang. “But there’s no education for them about when to try for a baby, and they have no awareness about their fertility health,” she says.
Kang received an MBA at Cornell Johnson, went to Columbia for an MS in Biomedical engineering and received at PhD in Biophysics from University of Pittsburgh, before working as a Business Director at Corning where she was responsible for $100 million in global P&L, which she left to start Mira.
She says that women’s hormones are changing daily, and everyone’s profiles differ due to their lifestyle, stress levels and other factors. The only way to accurately track fertile days, then, is through continuous testing – something that’s been difficult to do at home.
To solve this problem, the team worked to develop the Mira system, which includes a small home analyzer, urine test strips, and an accompanying mobile application. The home analyzer miniaturizes lab equipment for home use, and brings down the cost.
To use the system, the woman places the test strip into the device which then uses immunofluorescence technology to read the results. Currently, the device tests for the presence of luteinizing hormone (LH), which is an indicator of ovulation. However, the company has already has plans to update the device so it can test for other hormones in the near future. (It’s FDA-cleared to detect estrogen, for example, but that won’t be available at launch.)
The system instead is $199 and ships with 10 test strips. After analyzing the strip, information about the hormone levels is displayed on the screen and sent to the Mira app via Bluetooth.
The app offers women more information about what this data means – like whether they should attempt to conceive today or wait. A subscription service will also offer them access to doctors so they can ask questions, but this will be free at launch.
“This technology is completely different from all the test strips on the market. It’s more accurate, but more importantly, this one is quantitative – that means we give you your actual, formal concentrations,” says Kang. “The [existing] tests strips only give you positive or negative. Since we have your numbers, our A.I. can do pattern recognition. Our algorithm prediction is based on your pattern specifically, not the average of all the population.”
What this means, in practice, is that women struggling to conceive will have more accurate, more actionable, and more personalized results with Mira. During a clinical trial with 400 patient samples, Mira reached 99 percent accuracy, compared with lab equipment, the company says. They also have 18 IPs covering hardware, software, database management and more, including utility patents and models, design patents, trademarks and copyrights.
The company is now working on a portal for doctors, so they could access their own patients’ data for further analysis. Mira may also eventually make its collected data, once anonymized, available to researchers, as well. But Kang says no formal decisions have been made on that front yet.
Longer-term, Kang explains that the same system can be adapted to track pregnancy and menopause, and eventually similar technology could be put to use for analyzing other conditions, like those related to kidney problems or the thyroid.
The Pleasanton, Calif.-based company, is currently a team of 36 and has raised $4.5 million from investors including Gopher Ventures, and two other cross-border investors Mira doesn’t want to disclose publicly.
At Disrupt, the company announced the Mira device is now available for pre-order and will begin shipping in October 2018.
It’s sold online via the Mira website, but is in discussions with doctors and retailers to broaden its availability going forward.
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Kadho, a company building automatic speech recognition technology to help children communicate with voice-powered devices, is officially exiting stealth today at TechCrunch Disrupt SF 2018 where it’s launching its new technology, Kidsense Edge voice A.I. The company claims its technology can better decode kids’ speech as it was built using speech data from 150,000 children’s voices. The COPPA-compliant solution, which is initially targeting the voice-enabled devices and voice-enabled toys market, is already being used by paying customers.
As anyone with an Echo smart speaker or Google Home can tell you, today’s devices often struggle to understand children’s voices. That’s because current automatic speech recognition technology has been built for adults and was trained on adult voice data.
Kidsense.ai, meanwhile, was built for kids using voices of children from different age groups and speaking different languages. By doing so, it believes it can outperform the big players in the market like Google, Samsung, Baidu, Amazon, and Microsoft, when it comes to understanding children’s speech, the company says.
The company behind the Kidsense AI technology, Kadho, has been around since 2014, and was originally founded by PhDs with backgrounds in A.I. and neuroscience, Kaveh Azartash (CEO) and Dhonam Pemba (Chief Scientist). Chief Revenue Officer, Jock Thompson, is a third co-founder today.
Initially, the company’s focus was on building conversational-based language learning applications for kids.
“But the biggest pain point that we encountered…was that the devices that we were using or apps on – either mobile phones, tablets, robotics, or smart speakers – they’re not built to understand kids,” explains Azartash. He means the speech recognition technology wasn’t built on kids’ data. “They’re not designed to communicate or understand kids.”
The team realized there was a bigger problem to solve. Teaching kids new language using conversational techniques couldn’t work until devices could actually understand the kids. The company shifted to focus instead on speech recognition technology, using a data set of kids voices (which it did with parents’ consent, we’re told), to build Kidsense.
The initial product was a server-based solution called Kidsense cloud AI in late 2017. But more recently, it’s been working on an embedded version of the same platform, where no audio data from kids is collected, and no data is sent to cloud-based servers. This allows the solution to be both COPPA and GDPR-compliant.
This also means it could address the needs of device makers who have been previously come under fire for their less than secure toys and robotics, like Mattel’s Hello Barbie, or its canceled A.I. speaker Aristotle. The idea today is that toy makers, smart speaker manufacturers, and others catering to the kids’ market will need to be compliant with more stringent privacy laws and, to do so, the processing has to be done on the device, not the cloud.
“All the decoding, all the processing is one on the device,” says Azartash. “So we’re able to offer better efficacy and better accuracy in converting speech to text…the technology does not send any speech data to the server.”
“We’ve figured out how to put this all onto the device in an efficient way using minimal processing power,” adds Thompson. “And because we’re embedded we can charge a flat fee depending on the product anywhere to a subscription model.”
For example, a toy company working with thin margins on a product with a really small lifespan might want a flat fee. But another company may have a product with a longer lifespan that they charge their own customers for on subscription. They may want to be able to update their product’s voice tech capabilities over-the-air. That’s also possible here.
The company says its technology is in several toys, robotics, and A.I. speaker products around the world, but some of its customers are under NDA.
It’s also testing its technology with chip makers and big-name kids’ brands here in the U.S.
On stage, the company also showed off its latest development – dual language speech recognition technology. This is the first technology that can decode two languages in one sentence, when spoken by kids. This is an area smart speakers and their related voice technology are only now entering, within the adult market that is. For example, Google Assistant is preparing to become multilingual in English, French and German this year.
Currently, the company has approximately $1.2 million in revenue from customers on annual contracts and its SaaS model. It’s been operating in stealth mode, but is now preparing to reach more customers.
To date, Kadho has raised $2.5 million from investors including Plug and Play Tech Center, Beam Capital, Skywood Capital, SFK Investment, Sparks Lab, and other angel investors. It’s preparing to raise an additional $3 million before moving to a Series A.
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Marijuana may still be on shaky legal ground, but the therapeutic benefits of the psychoactive molecules — cannabinoids — inside the plant are solidly established. Unfortunately, cultivation of that plant is resource-intensive and yields only tiny amounts of some useful medicines. CB Therapeutics, a new biotech company launching today at the Disrupt SF Startup Battlefield, aims to change the game with cannabinoids produced cleanly and cheaply in the lab — out of sugar.
Co-founder and CEO Sher Ali Butt says the idea struck him when he was working at cannabis testing lab Steep Hill. CBD, a compound found in the plant but in much lower concentrations than THC, the primary intoxicant, was producing extremely helpful pain and anxiety alleviation for some people without a high. The medicinal possibilities were obvious, but high-CBD strains of cannabis are not only uncommon, but a pain to cultivate and process for that purpose.
“CBD had all these applications, and I just thought that there’s got to be a better way to do this. The idea just stuck in my brain,” he told me.
After working on the problem on and off for years he decided to pursue it in earnest. Serendipitously, around this time he ran into Jacob Vogan, an old friend from college who was working in the field of bioengineering. It seemed like a natural fit to them to start the company together.
What CB Therapeutics has done is bioengineer microorganisms — specifically yeast — to manufacture cannabinoids out of plain-old sugars. This type of bioreactor isn’t a new idea; yeast and other organisms are used to create and isolate lots of drugs and substances.

“The vitamin C that we take in tablets, for instance — they didn’t squeeze oranges and lemons to get that,” Butt points out. “There isn’t enough agriculture to supply the global demand. It was produced synthetically and put in a box.”
CB Therapeutics is just doing the same thing for cannabinoids, and not just CBD.
“There are 118 cannabinoids, and only five have been studied,” Butt says. “These compounds are like .1, .01, even .001 percent in the cannabis bud. When you want to extract these, a kilogram can be like $100,000 to $350,000. How is someone supposed to do research with that?”
But the yeast don’t care. They take in sugar and output whatever molecule their biosynthesis pathway has been modified to produce — within reason, of course. You couldn’t output large, complex non-organics, but cannabinoids — even the rare ones — are well within their capabilities.
“The only thing we need to add is sugar — that’s the beauty of what we’ve done,” Butt beamed. “The yeast platform is agnostic, it makes everything for the same price.”
This has several benefits. First, it can bring down the price of a known and useful cannabinoid like CBD. Second, it allows the rarer ones to be studied for a reasonable price, and eventually distributed as well. And third, it takes pressure off the agricultural component of the cannabis industry.
That last is not only good from an ecological perspective, since demand is growing and these plants require a lot of water and land, but from the health side as well. Butt points out that a huge majority of cannabis products tested are found to be contaminated to some degree with pesticides and other unwanted compounds.
It’s getting better as the marijuana industry becomes an above-board one, but the problem is far from eliminated, and at any rate pesticides and other potentially harmful chemicals don’t cease to be a nuisance just because something is legal. The risk is there for the foreseeable future that, ironically, the “natural” option of using the plant itself is going to produce more impurities in the product, not less. But the yeast don’t — can’t, really — taint the product. So what comes out of the bioreactor should theoretically be as pure as the driven snow. (CB Therapeutics does test it, of course.)
It’s worth noting that the company’s main intellectual property is is the cannabinoid biosynthesis pathway it has developed. That hadn’t been fully documented or explored, Butt says, until their work.
Butt sees this change as more or less just the latest example of a useful class of molecules going from difficult to relatively easy to acquire.
“When you aren’t able to provide for the demand, that makes prices artificially high. People are going out and spending tens of thousands on CBD, for medical applications,” he said. “Insulin used to be harvested from pig pancreases, then Genentech solved that. Aspirin used to come from tree bark. This is inevitable for many compounds. We need to bring the cannabis price down to where anybody can use it.”
The pricing and volume are still somewhat of a question mark — once testing and the regulatory hurdles are taken care of, like any pharmaceutical it’s going to be a moving target. But scaling production shouldn’t be hard should the demand grow, and the backlog of new cannabinoids to isolate for testing should provide a source of income as well.
Medicine can be a risky sector for startups but CB Therapeutics seems to have it as close to sewn up as one can reasonably expect; in a way it’s almost alchemical, this ability to cheaply produce something so valuable. But really, it’s just science.
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Origami Labs wants to bring voice assistants right to your ear without requiring you to wear a device like a Bluetooth headset or Apple AirPods. Instead, the startup is using a ring on your finger combined with bone conduction technology to allow you to use your smartphone’s built-in assistant – whether that’s Google Assistant or Siri – in an all-new way.
Origami Labs’ device is the Orii, a smart ring that works with an app on your phone, allowing you to physically touch your finger to your ear to either speak to or listen to your voice assistant.
This involves the use of bone conduction technology, which allows you to hear sounds through the vibration of bones in your face, bypassing the outer and middle ears to stimulate the inner ear directly.

That means you can use Orii to do things like listen to your text messages, send a WhatsApp message to a friend, take a phone call, get information like the time or weather, use reminders, or anything else that Siri or Google Assistant could do.
The ring alerts you with a vibration, then you listen (or speak to its microphone) by raising your finger to your ear.
The company presented its device on stage at TechCrunch Disrupt SF 2018 today, after winning a “wildcard” spot that allowed it to enter the Startup Battlefield competition.
The Hong Kong-based startup was founded by Marcus Leung-Shea and Kevin Wong in 2015.

Wong’s father is visually impaired, which makes using a smartphone more difficult.
“That’s where we got started – just to create a device that helps visually impaired people,” Marcus explains. “But through building the product and launching a Kickstarter, it became clear that this screen-free way of interacting with technology is something that actually a lot of people are looking for. It taps into this sense that we’re spending too much time looking at our devices,” he says.
With other Bluetooth devices, like AirPods, there’s a limit to how long they can be worn comfortably.
Plus, there’s the aesthetics to consider – not everyone wants to be seen wearing their AirPods all the time, out of a sense of style. AirPods and other Bluetooth devices in the ear are also often used as a signal others that you don’t want to be bothered.
Meanwhile, using the assistant through the speaker on the phone isn’t very private.

The startup ran crowdfunding campaigns last year to raise its initial seed round. On Kickstarter, the Orii had 4,000 backers – enough to prove there’s at least some consumer interest in this kind of product, the founders believe.
The first version of the Orii is shipping to its early backers who paid $99 to $150 for the device. It’s a bit large, in comparison to even costume rings, but that’s a solvable problem at scale. A second version of the device, shipping in Q2 2019, will be about 25 percent to 30 percent smaller, Marcus says. This one will come in different colors and enable new features. The company is also working on Alexa integration.
Orii has generated some interest from businesses and consumers. Specifically, luxury hotels and retailers want to test the product as a team communication system because they don’t want their staff looking at screens, which could come across as rude.
Mobile operators in Hong Kong, where the 14-person team is based, are also interested in selling Orii as a bundle with their phones. But all these discussions are in the early stages, Marcus notes.
Origami Labs is backed by its crowdfunding and seed investment from the Alibaba Entrepreneurs Seed Fund.
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Vitamins are proving to be a lucrative industry in the United States. Just last year vitamin sales pulled in roughly $37 billion for the U.S. economy. That’s up from $28 billion in 2010. To cash in on this growing market, several startups have popped up in the last few years — including Nutrigene, a startup combining the vitamin business with another lucrative avenue of revenue in consumer DNA analysis.
Nutrigene believes your genes may hold the secret to what you might be missing in your diet. The company will send you tailor-made liquid vitamin supplements based on a lifestyle quiz and your DNA. You get your analysis by filling out an assessment on the startup’s website, choosing a recommended package such as “essentials,” “improve performance” or “optimize gut health.” After that you can also choose to upload your DNA profile from 23andMe, then Nutrigene will send you liquid supplements built just for you.
Founder Min FitzGerald launched the startup out of Singularity and later accepted a Google fellowship for the idea. Nutrigene then went on to Y Combinator’s winter 2018 class. FitzGerald’s co-founder and CTO Van Duesterberg comes from a biotech and epigenetics background and holds a PhD from Stanford.
PhDs and impressive resumes aside, the vitamin and genetics industries are not without controversy. For every study showing that those who eat a balanced diet don’t benefit from supplements, there are just as many highlighting the benefits of taking your vitamins. Also, coupling vitamin therapy with your DNA seems at a glance dubious. However, Dawn Barry, former VP at Illumina and now president of Luna DNA, a biotech company powered by the blockchain, says it could have some scientific underpinnings. But, she cautioned, nutrigenetics is still an early science.
Amir Trabelsi, founder of genetic analysis platform Genoox, agrees. We interviewed both Trabelsi and Barry previously when Nutrigene first came on our radar. Trabelsi pointed out these types of companies don’t need to provide any proof.
“That doesn’t mean it’s completely wrong,” he told TechCrunch. “But we don’t know enough to say this person should use Vitamin A, for example… There needs to be more trials and observation.”
Nutrigene acknowledges the best supplementation for performance goes beyond just a genetic profile. Our lifestyles, where we live, what we do and what we put in our bodies (or don’t) all can contribute to a deficiency. For better nutritional accuracy, Nutrigene will send you a blood test kit in the mail to test for things like Vitamin D deficiency (a common deficiency in Silicon Valley, according to my doctor). You also can choose to go to a blood testing center to find out what sort of nutritional supplements you’ll need for optimal performance.
One other twist — Nutrigene’s vitamins come in liquid form for what FitzGerald says is the optimum delivery method.
I tried out the program for myself earlier this year, though not for more than a few days as I was pregnant at the time and wanted to stick with the prenatal vitamins I’d been taking. Nothing I saw on the packaging from Nutrigene was dangerous for pregnant women, just run-of-the-mill stuff like vitamin B12, which my genetic analysis said I was prone to be deficient in. But I had already been taking some pretty good prenatal vitamins from New Chapter and a DHA supplement from Nordic Naturals for a year leading up to getting pregnant. I had a very healthy, nearly 9.5 pound baby boy in March. My own doctor, who tested my nutritional levels at the beginning of my pregnancy through a blood sample, did not tell me I had any deficiencies.
That’s not to say it wouldn’t be great for someone else looking for optimal nutrition and wanting a boost through supplementation. It’s also a great industry to get into if you know how to market your products. Though crowded, there’s plenty of room to grow and billions of dollars in the vitamin industry for those who can make their products stand out. DNA analysis and liquid supplementation might just be the thing.
FitzGerald tells TechCrunch that Nutrigene has already shipped 8,500 personalized dosages to customers since launching earlier this year.
For those interested in trying out Nutrigene, you can do so by ordering on the website. Package pricing varies and depends on nutritional needs, but starts at around $85 per month.
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