Jul
11

GrubMarket gobbles up $32M led by GGV for its healthy grocery ordering and delivery service

As consumers become more discerning about the food they eat, a wave of startups has emerged that is catering to that demand with convenient alternatives to the more ubiquitous options that are available today. One of these, GrubMarket — which sources organic and healthy food directly from producers and then delivers it to other businesses (Whole Foods is a customer) as well as consumers at a discount of 20-60 percent over other channels — is today announcing a $32 million round to grow its already profitable business, including making acquisitions and expanding on its own steam as it eyes a public listing.

“We are looking to buy companies to make more revenues ahead of an upcoming IPO,” said Mike Xu, the founder and CEO. He said GrubMarket is “in proactive steps” to expand from its home base in California to the East Coast, starting in New York and New Jersey, by October this year. The plan, he said, will be to file with the SEC sometime between the end of this year and early 2019, with the IPO taking place in the second half of 2019.

E-commerce, and in particular food-related businesses with perishable items and associated waste, can be tricky when it comes to margins, and indeed, there have been many casualties in the world of food startups. Xu said in an interview that GrubMarket is already profitable and working at a $100 million run rate.

One of the reasons it’s profitable may also be the same reason you may have never heard of GrubMarket. Currently, between 60 and 70 percent of its business is in the B2B space. Xu says that customers number in the thousands and include offices, grocery stores and restaurants across the San Francisco Bay Area, Los Angeles, Orange County and San Diego.

And so, if you don’t know GrubMarket, you might know some of its customers, which include all WeWorks between San Diego and San Francisco, Whole Foods, Blue Apron, Hello Fresh and Chipotle. GrubMarket has also cornered some very specific niches: It has become the biggest mushroom supplier in all of Northern California, and it’s the biggest supplier of Hawaiian farm produce in the Bay Area.

Another point in the company’s favor is the technology it uses. Working directly with farmers and other producers, GrubMarket has built apps that allow it and its partners to manage the logistics of the business in an efficient way. The idea will be to bring more AI to the platform over time: for example, to be able to run better modelling to figure out how much fruit and veg might sell during a given season, and how to price items.

GrubMarket also is dabbling in areas that you might not normally associate with a grocery-on-demand delivery company: it built an educational app called Farmbox, which — when you play it — can be used to collect points to spend on GrubMarket; and it’s also exploring how blockchain technology can be used in a “next-generation open platform for direct farm-to-table.”

Xu says that as the company continues to grow, it will shift more into direct-to-consumer deliveries to complement its wholesale business.

This latest round is a mixture of equity and debt and is being led by GGV with other previous investors Fusion Fund (formerly New Gen Capital) and Great Oaks Venture Capital participating, along with new investors Max Ventures, Castor Ventures, Bascom Ventures, Millennium Technology Value Partner, Trinity Capital Investment, Investwide Capital and others. The company is not publicly disclosing its valuation; it has raised around $64 million to date.

Many eyes are on Amazon these days, and what moves it might make next in groceries after acquiring Whole Foods, ramping up its own Pantry offerings, courting restaurants for delivery and making its own meal kits. This is not a question that keeps up Xu at night, however.

“Food is the largest and biggest opportunity in e-commerce,” he said, estimating that today the total value for the global food and agricultural industry is around $9 trillion (versus $8 trillion in 2017), with only about one percent of buying done online. “That’s a big enough opportunity to have a few giant companies, and not just Amazon.”

It’s also an opportunity that could sustain some slightly smaller companies, too: One of my favorite e-commerce businesses in England is a service that I’ve been using for years, an organic grocery delivery called Abel & Cole that brings us a box of organic fruit and vegetables (and whatever else I order on top of that) each week. Like GrubMarket, it’s working directly with smaller producers who might have otherwise found it hard-going to find a way of selling their produce directly to buyers (and buyers would have found it hard-going to ever buy directly from these producers). Unlike GrubMarket, it takes a more modest approach that doesn’t involve eventually becoming a leviathan itself. May they all be around for years to come.

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Jul
11

The Nudge is a planner app packaged as an SMS subscription service

How do you fix digital information overload and the resulting life-attention deficit that’s apparently afflicting smartphone owners everywhere — and even leading some very large tech giants to unbox “digital wellness” tools lately?

San Francisco-based startup The Nudge reckons the answer to getting millennials to spend less time sucked into screens, and more time out and about actually doing things, is — you guessed it — another technology service! Albeit one that delivers inspirational plan ideas for stuff to do in your free time, delivered via the traditional text message conduit of SMS.

The sibling duo behind the startup, John and Sarah Peterson, have bagged $540,000 in pre-seed funding for their text planner idea, after running a year-long public beta of the service in San Francisco. The investment is led by seed-stage VC firm NextView Ventures, with Sequoia’s scout fund also participating.

Peterson says the idea to send plans via SMS evolved out of his earlier (and first) startup, called Livday: Also a planner app for friends to share their favorite ideas for weekend hikes and so on. But being just another app meant having to compete for attention with noisy social content, so the siblings hit on the idea of using SMS — as a sort of artisanal reversion of current state consumer tech — to “find a way to rise above the noise,” as they put it. Or, well, attempt to circumvent app notification fatigue/mute buttons.

As is often the case in fashion-led consumer tech, old ways can get polished up to feel shiny and new again once whatever displaced them has lost enough sheen to start to look old.

The Nudge has garnered around 10,000 active weekly users at this point, launching out of its year-long public beta. Peterson describes the typical user as “an active millennial woman,” with the community skewing 70 percent female at this point.

For the active user metric the team defines an active user as someone who is reading and engaging with the text messages they’re sending — either by clicking a link or replying.

They further claim to have signed up 5 percent of San Francisco’s millennials to their lifestyle “nudges.”

“While our new rebrand has a somewhat feminine aesthetic it’s interesting that we initially were targeting men. It just really resonated with millennial women,” says Peterson.

“They need this because taking the initiative is the essential yet hardest part of living our lives to the fullest, and that’s what we give them,” he adds. “A nudge. We’re laser-focused on that demo right now but have plans to help other demographics long-term. My empty nest parents badly need this.”

Nudges take the form of — initially — an SMS text message, containing a handwritten brunch idea or a hike plan, or details of a hip coffee venue or volunteering opportunity which the startup reckons will appeal to its SF community.

The texts may also contain a link to a more fully fledged plan (with photos, address, logistics etc.). You can see some of their sample plans here.

While the core delivery mechanism is SMS, there also is a Nudge app where plans can be saved for later perusal, and subscribers to the service can mark Nudges as “done” (presumably to avoid being spammed with the same plan later).

Currently, the startup has an editorial team of three people coming up with plan ideas to inspire subscribers — writing in a friendly, narrative style that’s intended to complement the cozy SMS delivery medium.

They’re also working with local social media influencers to hit on trendy ideas that resonate with their target millennial users.

Convincing information-overloaded consumers to willingly hand over their mobile digits to get random texts might seem a bit of a counter-intuitive “fix” for digital information overload. But Peterson reckons it boils down to getting the tone of voice right. (And, clearly, being careful not to send too many texts that you end up coming across as spam.)

“We want people to really feel like The Nudge is just another one of their (ridiculously resourceful and fun) friends texting them, and I think we’ve succeeded there so far,” he tells TechCrunch. “Nearly all of our growth has come from word of mouth. You’re right that text messaging is a sacred space, and we’re very sensitive about that.”

Peterson claims that unsubscribe rates are less than 1 percent each week — though they’re also limiting themselves to sending three “personalized” lifestyle “nudges” per week at this point.

On the personalization front, they say plan ideas are customized based on factors such as the current weather and local trends. They are not, as a rule, customized per user though — beyond being personalized with the subscriber’s name. So it’s more “Nudge Club” than VIP personalized lifestyle advisor.

“In general, everyone is getting the same content, as we’ve found that there’s a lot of power in the shared experience (you know your friend just got the same text at that moment),” he says. “That said, we do sometimes create a dialogue where we ask you a question and depending upon your answer, we recommend something specific for you.

“We’re carefully not taking this part too far, as we really don’t view ourselves as a bot.”

Given they are (usually) sending ~10,000 people pretty much the same idea of what to do at the weekend or of an evening, Peterson admits that venue overcrowding has been a problem they inadvertently ended up creating — for example he says they recommended a free event that ended up getting 10x overbooked and had to cancel some tickets.

“Our answer is to only recommend small venues as a general suggestion (do this date idea this summer), and recommend larger venues specifically (do this hike tomorrow),” he says, explaining how they’ve tweaked the service to try to workaround creating unintended flash mobs of demand.

On the business model side, the plan is to make The Nudge a subscription service. Though they’re not going into details at this stage as they’re still experimenting with different options. (And they’re not currently charging for the service.)

But Peterson says the intention is not to make money via the specific things they’re recommending — which, in theory, frees them from needing to operate a creepy, privacy-hostile data-harvesting surveillance operation to determine whether an SMS can be linked to a specific bar bill or restaurant check for them to take a cut, for example.

Though, to be clear, Peterson says they’re gathering “as much data as we can about people doing a Nudge” — presumably so the team can better tailor the content and recommendations they’re making by figuring out what their users really like doing.

“We don’t promote any products or services,” he emphasizes. “Selling tickets or products or ads is tempting, and a lot of lifestyle services do that, but it would ruin or credibility. This is ultimately a subscription service based on trust.”

Despite that reassuring claim, it is worth noting that their current privacy policy states they “may periodically send promotional emails about new products/special offers/info etc via provided email addresses.” So be aware you are at least agreeing to theoretical email spam if you hand over your details.

What’s next for The Nudge now that the team has raised their first tranche of VC? Peterson says they’re planning to expand the service to LA this year — which he confirms will mean hiring a team on the ground to produce the custom content needed to power the service.

Albeit, he concedes, “right now our process is very manual.” And it’s not at all clear whether their concept could sustain much automation-based scaling — at least not if they don’t want to risk generating yet more impersonal noise versus the friendly digital lifestyle advisor tone they’re aiming to strike as a strategy to stand out.

Beyond LA, Peterson says they plan to expand “pretty aggressively” in 2019. “The Nudge as it stands now would work in any urban market as I believe it’s a solution to a fundamental human problem,” he says.

The Nudge’s spare time plans by text is by no means the only SMS-based lifestyle subscription service hoping to cut itself a slice of the attention economy.

In 2016 a startup called Shine launched on-demand life coaching by text messaging, for example.

And let’s not forget Magic — the “get anything via a text message” service that had a viral moment in 2015 — and now bills itself as a “24/7 virtual assistant.”

Google has also tried texting people shopping deals. And Microsoft has dabbled in event planning specifically — outing an iMessage app for social event planning last year.

Meanwhile Facebook added “M,” a text-based assistant app (which was itself human-assisted), to its Messenger platform back in 2015 — but went on to shutter the service in January this year, apparently never having found a way to scale M into a fully fledged AI assistant.

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Jul
08

Book: The Startup Playbook

Martha Notaras Contributor
Martha Notaras is a partner at XL Innovate.

For the last decade, the largest technology companies have increasingly looked outside of tech to grow their operations. From automotive to retail to groceries, these companies use massive competitive advantages in the form of data, consumer relationships and software engineers to fundamentally change markets.

Now, companies like Apple and Google and Amazon are eyeing innovation across the insurance landscape. For example, Amazon is teaming with JPMorgan and Berkshire Hathaway to create a new way to approach health insurance, focusing first on the group’s own employees. On the retail side, Amazon is selling product insurance and extended warranties at the point of sale and investing in insurtech startups. Meanwhile, Tesla is developing an insurance product specific to the Model S. Waymo, Uber and Lyft are certainly having similar conversations internally.

Obviously, these are all preliminary steps. Insurance is a complex, multifaceted and, yes, risky business. In the end, whether or not companies like Amazon become insurers themselves depends on their appetite for risk, their ability to innovate and the potential pay off.

To start, let’s look at the reasons why tech giants are well-suited to upend the space.

They have direct consumer relationships

Like many businesses, a large aspect of a successful insurance business is distribution. Just look at brokers, which are a major means of distribution for insurers today — their cut can be up to 30 percent of the cost of an insurance policy. Brokers also see better margins than insurers themselves, usually around 10 percent net margins. Facebook, Amazon, Apple, Microsoft and Google (FAAMG) possess direct relationship with billions of consumers and could, over time, disrupt the broker business.

They have deep data and analytics

The big secret in insurance is that insurers are actually terrible at using their data. Different departments (marketing, underwriting, claims) rarely work together, and their data tends to be siloed. FAAMG, on the other hand, has put data at the core of their offering; they know how to leverage analytics and AI to create better products.

Tech giants may be tempted to use their troves of data to compete with insurers directly.

They also have access to data that insurers can only dream of having: global geospatial imagery of homes, infrastructure and buildings; location, browsing and advertising data; even real-world behavioral data from smartphones and IoT devices. Combining all these signals can create a very complete picture of human behavior, interests and risk profile.

They have an army of software engineers and a monopoly of AI talent

Tech innovation has long been a challenge for insurance incumbents. Old systems are difficult to displace in any industry, but the complexity of insurance, tradition of relying on the past to predict the future and silos of data can make it a Herculean effort. Tech giants, on the other hand, regularly cannibalize their own revenue with new products and can enlist tens of thousands of engineers to develop fantastic digital customer experiences and bring large-scale efficiencies to back-end insurance systems through better software and AI.

So, yes, FAAMG has a number of major advantages over insurance incumbents. But for tech giants, new verticals and initiatives are also longer-term decisions around margins and market scope. It’s an obvious point, but if FAAMG wants to jump into insurance, they’ll want a decent return. Can they find that in insurance?

There are a number of reasons why it might be a tough sell.

Ultra-low margins

Average insurance net margins are 3-8 percent, and 25-30 percent gross margins, which are meager for tech standards. Software companies average around 80 percent gross margins and around 15 percent net margins. Even consumer hardware like the iPhone — a costly endeavor by software standards — sees 55-60 percent gross margins.

Within insurance, health tends to have the highest margins, followed by property and casualty (i.e. home and auto insurance), followed by life insurance. So if anything, healthcare is probably the closest thing to “low-hanging fruit” — but it’s not exactly attractive to most companies outside insurance.

High risk

Such low margin also means that one major event can destroy a company’s balance sheet for an entire fiscal year (think disasters like hurricanes, fire, flood, etc.). In addition, tech companies don’t have the historical data and actuarial scientists that insurers have spent decades building up, so they might be more prone to misjudging their overall risk exposure.

Complex administration

For insurers, evaluating and underwriting policies is an expensive endeavor. Claims, customer support and back-end are costly and complex. That said, most insurance companies are already outsourcing the development of core administration software to companies like GuideWire and Duck Creek, and then customizing the software to meet their specific needs at the last mile. So it’s not as huge of a leap as it once was to think that the likes of Amazon or Google could develop similar infrastructure in-house to rival incumbent systems. Or, they could easily buy one of the development companies outright and subsume that expertise.

Amazon makes a big move

Still, the creation and underwriting of policies is something tech giants have avoided to date. Amazon has been working on warranties for certain products as an add-on to their margins — but these were backed and administered by The Warranty Group rather than Amazon itself. Before that, Amazon acted as a sales channel for SquareTrade and built up an understanding of the warranty business before diving in deeper. Tesla, as another example, announced it was selling Tesla-branded tailor-made policies for its vehicle owners, but those policies were backed by Liberty Mutual.

What role will tech giants in the U.S. play in the insurance landscape?

Then, in January, Amazon made a well-publicized announcement, in tandem with Berkshire Hathaway and JPMorgan, around its intention to create a private healthcare option for their workers. We don’t know much about the initiative, but Amazon has been working on a healthcare technology project codenamed 1492 for some time. Rumors point to a “platform for electronic medical record data, telemedicine, and health apps.” Amazon’s technology paired with Berkshire Hathaway’s insurance knowledge and JPMorgan’s financial expertise makes the creation of a new health insurance entity more likely. If so, this would be a significant shot across the bow of U.S. healthcare insurers.

Of all the tech giants, it would not be a surprise if Amazon were the first to jump into insurance. Amazon has mastered the art of building massive businesses off of razor-thin margins. They’re also targeting health insurance, which presents the best margin opportunity. They can test their offering within the company first and then scale across their massive consumer base. Finally, they have a history of building out complex back-end services for their own purposes before offering it to their customers — just look at AWS.

Will other tech companies follow Amazon’s lead?

Signs point to yes. Recently, Google’s sister company, Verily, “has been in talks with insurers about jointly bidding for contracts that would involve taking on risk for hundreds of thousands of patients.” In addition, Apple will be opening a network of medical clinics for its employees.

It may not stop at health insurance. There’s no question technology is changing human behavior and society, and as the developers of much of this new tech, FAAMG will inevitably be pushed closer to other sectors of insurance, as well, including home and auto.

Autonomous vehicle fleets will make companies like Tesla, Google and Uber the owners of tens of thousands of cars, subjecting them to the risk that comes with that. Meanwhile, IoT hardware and accompanying services are bringing tech giants into the living room. That’s a literal statement when it comes to Amazon Key. Nest, Google Home and Amazon Echo are more innocuous, but provide all sorts of data about what’s going on inside the home and could, someday, help inform the creation of real-time home insurance policies.

East Asia as a leading indicator?

It also can be instructive to look at markets outside the U.S. In East Asia, businesses are taking a more aggressive posture vis-à-vis insurance. BaiduAlibabaRakutenTencent and LINE have all shown some level of appetite for offering their own insurance products. These companies can verify identities, enforce trust and access the behavioral and financial data necessary to provide better policies than many insurance incumbents in those countries.

They also are exploring new ways of looking at risk and changing user behavior: Tencent’s WeSure is paying users to stay healthy by walking more, while Yongqianbao, a lending company, tracks unconventional digital data to determine credit risk, such as phone brand (iPhone users are less likely to default) and whether they let their phone batteries run down.

Still, the question remains: What role will tech giants in the U.S. play in the insurance landscape? Will they act as a channel for existing insurers, as a provider of data and analytics to those insurers or even as a provider of direct insurance themselves?

Insurance may not be lucrative-enough for tech giants in the short-term, but as real-time data and analytics are used to create insurance policies, tech giants may be tempted to use their troves of data to compete with insurers directly. Until then, we can expect insurers and tech giants to form alliances, as they have in East Asia, with tech companies using insurance and warranties as a value-add for their customers, and insurers using tech companies as a sales channel. Regardless, the story of FAAMG (and others) in insurance is undoubtedly just getting started, and we’ll have to check back in as the landscape develops.

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Jul
10

Thought Leaders in Cloud Computing: Fred Voccola, CEO of Kaseya (Part 2) - Sramana Mitra

Sramana Mitra: Talk a bit about the trends of your industry. Let me be very specific about what industry we’re talking about. Let’s talk about the SME IT services industry. What do you see? Fred...

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Original author: Sramana Mitra

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Jul
10

SolarWinds acquires real-time threat-monitoring service Trusted Metrics

SolarWinds, the company behind tools like Pingdom, Papertrail, Loggly and a number of other IT management tools, today announced it has acquired Trusted Metrics, a company that helps businesses monitor incoming threats to their networks and servers. This move follows SolarWinds’ acquisition of Loggly earlier this year. Among other things, Loggly also provides a number of security tools for enterprises.

Today’s acquisition of Trusted Metrics is clearly part of the company’s strategy to build out its security portfolio, and SolarWinds is actually rolling Trusted Metrics into a new security product called SolarWinds Threat Monitor. Like Trusted Metrics, SolarWinds Threat Monitor helps businesses protect their networks by automatically detecting suspicious activity and malware.

“When we look at the rapidly changing IT security landscape, the proliferation of mass-marketed malware and the non-discriminatory approach of cybercriminals, we believe that real-time threat monitoring and management shouldn’t be a luxury, but an affordable option for everyone,” said SolarWinds CEO Kevin Thompson in today’s announcement. “The acquisition of Trusted Metrics will allow us to offer a new product in the SolarWinds mold—powerful, easy to use, scalable—that is designed to give businesses the ability to more easily protect IT environments and business operations.”

SolarWinds did not disclose the financial details of the transaction. Trusted Metrics was founded in 2010; although it received some seed funding, it never raised any additional funding rounds after that.

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Jul
10

Ledger finally has a good app for its crypto wallet

French startup Ledger has been working for a while on a brand new app to manage your crypto assets on your computer. The company is designing and manufacturing one of the most secure hardware wallets out there.

While it’s clear that security has always been the first focus of the company, the user experience has been lacking, especially on the software front. The company launched a new app called Ledger Live to handle everything you used to do with Chrome apps before.

That’s right, before today, the company relied on Google Chrome for its desktop apps. You had to install the browser first, and then install a new app for each cryptocurrency. There was also a main app to update the firmware. It could quickly become a mess.

Now, everything is centralized in a single app. After downloading and installing the app on Windows, macOS or Linux, you can either configure the app with an existing Ledger device or configure a new Ledger wallet.

The app first checks the integrity of your device and then lets you manage the device. You can upgrade the firmware and install apps on your Ledger Nano S or Ledger Blue from the “Manager” tab.

More interestingly, you can now add all your wallets to the Ledger Live app. You won’t have to switch from one app to another to view your wallets. When you click the add button, the app will try to retrieve existing wallets on your device. You can also generate a new set of keys (and a new wallet) from there.

Once you’ve added all your wallets, you can get an overview of your entire portfolio. The app gets historical pricing information from popular exchanges, such as Kraken and Bitfinex. You can also click on individual accounts to see how a specific cryptocurrency has evolved over time.

The portfolio interface looks like a Coinbase account. It’s well-designed and it’s a great way to get a quick look of your accounts.

Many Ledger users have been using tracker websites and apps. These services let you enter a cryptocurrency and the amount you own to get an overview of everything you own independently of the wallet.

Ledger’s new app partially replace tracker services. If you don’t need to check your balance from your phone, you can get enough information with the Ledger app. You can see your balance without having to plug your Ledger device.

The company is already working on new features. You’ll be able to view and manager ERC20 tokens in the future. So if you invested in a bunch of obscure ICOs, your tokens will be there too.

Ledger also told me that you could imagine an integration with decentralized exchanges eventually. This way, you would be able to send tokens to an address and get another set of tokens back on another Ledger-generated address. It would be a great way to exchange cryptocurrencies without signing up to a centralized exchange and leaving the Ledger app.

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Jul
10

ANGLR raises $3.3 million to create a Fitbit for fishing

ANGLR, a tracking system for fisherpersons, has raised a $3.3 million Series A to add AR and wearables to their already impressive package of fishing trip management and devices to help record fishing data. That’s right… they caught a big one!

Nic Wilson and Landon Bloomer started this Pittsburgh-based company to build an app that can help record and plan your fishing trips. The system has been around for five years and they’ve logged thousands of catches. They’re releasing “patent-pending connected tracking accessories” to record catch locations so you don’t have to pull out your phone while in the middle of reeling in a real beauty.

“Most fishing apps let users record catches. Our platform is built around trips,” said Wilson. “Mid-July our users will be sharing the first comprehensive summaries of fishing trips. The catch is only the result of many variables coming into alignment. Our system quantifies them We work with the top weather and water data providers and have spent years mastering GPS and pathing under many fishing scenarios.”

The cash, raised from KB Partners with participation from Brunswick Corporation, will help them grow their selection of wearable devices.

“All fishing apps require some form of manual data entry. We’re automating it with the word’s first connected accessories and third party integrations,” said Wilson.

The team started with some pretty basic technology and are now expanding past their modest beginnings.

“Our first prototype was an android phone mounted to a fishing rod, which spurred a network of resources in Western PA who wanted to help get it done,” said Wilson. Over the past few years they’ve perfected their app and they’re looking to create software and hardware to “become the center of fishing intelligence.” A noble goal, especially if they can get the one that got away.

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Jun
05

TransferWise’s next partnership could be with U.K. challenger bank Monzo

Box announced today that it has acquired Butter.ai, a startup that helps customers search for content intelligently in the cloud. The terms of the deal were not disclosed, but the Butter.AI team will be joining Box.

Butter.AI was started by two ex-Evernote employees, Jack Hirsch and Adam Walz. The company was partly funded by Evernote founder and former CEO Phil Libin’s Turtle Studios. The latter is a firm established with a mission to use machine learning to solve real business problems like finding the right document wherever it is.

Box has been adding intelligence to its platform for some time, and this acquisition brings the Butter.AI team on board and gives them more machine learning and artificial intelligence known-how while helping to enhance search inside of the Box product.

“The team from Butter.ai will help Box to bring more intelligence to our Search capabilities, enabling Box’s 85,000 customers to more easily navigate through their unstructured information — making searching for files in Box more contextualized, predictive and personalized,” Box’s Jeetu Patel wrote in a blog post announcing the acquisition.

That means taking into account the context of the search and delivering documents that make sense given your role and how you work. For instance, if you are a salesperson and you search for a contract, you probably want a sales contract and not one for a freelancer or business partnership.

For Butter, the chance to have access to all those customers was too good to pass up. “We started Butter.ai to build the best way to find documents at work. As it turns out, Box has 85,000 customers who all need instant access to their content. Joining Box means we get to build on our original mission faster and at a massive scale,” company CEO and co-founder Jack Hirsch said.

The company launched in September 2017, and up until now it has acted as a search assistant inside Slack you can call upon to search for documents and find them wherever they live in the cloud. The company will be winding down that product as it becomes part of the Box team.

As is often the case in these deals, the two companies have been working closely together and it made sense for Box to bring the Butter.AI team into the fold where it can put its technology to bear on the Box platform.

“After launching in September 2017 our customers were loud and clear about wanting us to integrate with Box and we quickly delivered. Since then, our relationship with Box has deepened and now we get to build on our vision for a MUCH larger audience as part of the Box team,” the founders wrote in a Medium post announcing the deal.

The company raised $3.3 million over two seed rounds. Investors included Slack and General Catalyst.

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Jul
10

CodeFights becomes CodeSignal and launches a new ratings system for developers

CodeFights started out as a competitive coding platform, but has since morphed to focus more on interview prep and helping businesses recruit developers. To better reflect this focus, the service today announced that it is changing its name to CodeSignal. In addition to this, the company also today officially launched its Coding Score, a credit score-like ratings system for developers with scores that — just like today’s credit scores — range from 300 to 850. To round out its set of announcements, the company also announced that FICO CEO William Lansing is joining the CodeSignal advisory board.

“Our core strength and the tech we built is the ability to assess technical ability and to do it at scale,” CodeSignal CEO Tigran Sloyan told me. “The crown jewel of that is the Coding Score. The Coding Score is our equivalent of a credit score for developers because you need an easy way for the industry to agree on a standard for skills.”

I’m not sure everybody will agree with his assessment, but Sloyan is right that today’s methods of rating a developer’s skill based on what school somebody went to, resumes, GitHub projects and coding interviews doesn’t present a full picture of an applicant’s abilities. He also notes that this process, where the actual hiring decision is often based on the preferences of only a few people, can lead to biased decisions. The Coding Score, Sloyan argues, takes away many of these biases and purely focuses on an applicant’s abilities.

How does CodeSignal calculate this score? Sloyan tells me that a developer only has to solve three challenges on the site to get a score — and that first score is accurate to about 85 percent. As developers solve more challenges, the service starts refining the score. Developers are ranked based on their speed and accuracy (which are weighted according to the difficulty of the challenge), and how they solve those problems. CodeSignal benchmarks developers against each other. To do all of this this, the team trained a machine learning model on the vast trove of data the company has collected since it launched its first coding challenges in 2014.

CodeSignal started pitching the Coding Score to recruiters at major tech firms over the course of the last few months. Sloyan admitted that it took a while before these recruiters trusted these scores, but today a number of these companies use the scores to bypass phone interviews and move right to in-person interviews for some candidates.

Developers, it’s worth noting, can choose to share their scores publicly or keep them private until they want to share them with recruiters.

Looking ahead, CodeSignal wants the Coding Score to become the de facto standard in the developer hiring market. While this model is surely applicable to other fields, Sloyan noted that CodeSignal isn’t all that interested in branching out right now, but he left the door open for adding scores for other technical fields as well. “I do believe the model scales,” he told me. “What you need is a platform for people to practice and learn a certain skill. That platform needs to have an automatic assessment engine behind it.” And with enough data from that, it can then analyze those scores and calculate a score.

Bonus: To launch the new scoring system, CodeSignal calculated and ranked the average scores of users from a number of companies and colleges.

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Jun
05

Scooter startup Lime is reportedly raising $250M led by Uber investor GV

Slack’s search functions are getting another little quality-of-life update today with the introduction of filters, which aims to make search a little more granular to find the right answers.

The company also says searches are going to be more personalized. All of this is an attempt to get to the right files or conversations quickly as Slack — a simple collection of group chats and channels that can get out of hand very fast — something a little more palatable. As companies get bigger and bigger, the sheer amount of information that ends up in it will grow faster and faster. That means that the right information will generally be more difficult to access, and if Slack is going to stick to its roots as a simple internal communications product, it’s going to have to lean on improvements under the hood and small changes in front of users. The company says search is now 70 percent faster on the back end.

Users in Slack will now be able to filter search results by channels and also the kinds of results they are looking for, like files. You can go a little more granular than that, but that’s the general gist of it, as Slack tries to limit the changes to what’s happening in front of users. Slack threads, for example, were in development for more than a year before the company finally rolled out the long-awaited feature. (Whether that feature successfully changed things for the better is still not known.)

Slack now has around 8 million daily active users, with 3 million paid users, and is still clearly pretty popular with smaller companies that are looking for something simpler than the more robust — and complex — communications tools on the market. But there are startups trying to pick away at other parts of the employee communications channels, like Slite, which aims to be a simpler notes tool in the same vein as Slack but for different parts of the employee experience. And there are other larger companies looking to tap the demand for these kinds of simpler tools, like Atlassian’s Stride and Microsoft’s Teams.

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Jul
10

WeWork competitor Convene raises a $152 million Series D

New York-based meeting room booking startup Convene announced a $152 million Series D this week. The round is led by ArrowMark Partners, along with a number of real estate-related organizations, including Steve Case’s Revolution Growth.

It’s probably telling that the company simply refers to itself as a “WeWork competitor” in the pitch email that was sent on its behalf. Convene doesn’t exactly spur a lot of brand name recognition, but the company’s certainly got the fundraising cache. This round brings its total raise up to $260 million.

The well-funded startup certainly isn’t as ubiquitous as WeWork, but it’s got a number of the U.S.’s largest cities covered, including Washington, D.C., Los Angeles, Philadelphia, Boston Chicago and its home court, New York. Convene currently lays claim to 23 locations totaling 700,000 square feet of office space.

This round will no doubt go a ways toward snapping up some key real estate, as well. The startup has plans to expand globally and add around one million additional square feet in a total of 10 locations by the end of next year.

As for how it distinguishes itself from the competition, here’s CEO and co-founder Ryan Simonetti, from a press release tied to the news,

Unlike many players in the flexible office or space-as-a-service category, Convene’s landlord partnership model goes far beyond coworking, and we are proud to partner with the world’s most respected office owners to create inspiring workplace environments for today’s top companies. We will use our new funding to expand our alliance with landlords and increase the value of traditional commercial office buildings by putting the human experience above all else.

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Jul
10

1Mby1M Virtual Accelerator Investor Forum: With Brij Bhasin of Rebright Partners (Part 5) - Sramana Mitra

Sramana Mitra: If you look at the later-stage SaaS market, there are tons of companies that have scaled nicely. There are a lot of $150 million to $200 million SaaS companies that are looking to...

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Original author: Sramana Mitra

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Jul
10

Foursquare brings on Liz Ritzcovan as chief revenue officer

Foursquare has just hired Liz Ritzcovan as Chief Revenue Officer.

Ritzcovan hails from BazaarVoice, where she also served as CRO. She previously held CRO positions at Sizmek and Parade Media Group, and before that, spent time at Yahoo, Time Inc, and Interbrand.

Though Foursquare has been around since 2009, things have changed a lot for the company. What started as a consumer-facing app to log and share location information has become a SaaS company focused on helping brands understand their customer’s real-world habits and convert those habits into meaningful transactions and experiences.

That started with the unbundling of the legacy Foursquare app into Foursquare (a Yelp competitor centered around recommendations) and Swarm (a social location check-in app). As of 2016, both apps have more than 50 million active users, which—along with insights from partners—has in turn yielded the data necessary to create enterprise tools.

For example, Pinpoint by Foursquare (an ad product) has more than half of the Ad Age 100 as advertisers, and Attribution by Foursquare (a measurement product) has doubled its revenue in 2017. And that doesn’t include the Pilgrim SDK and Places API, which helped contribute to Foursquare’s 50 percent revenue growth year over year for the past three years.

Ritzcovan is aware that, despite the growth of e-commerce, 90 percent of consumer spending and memorable experiences happen in the real world. But getting clients, usually internet-facing companies, to understand that is her new great challenge.

Here’s what she had to say in her announcement blog post:

So what is my first priority as CRO? Client centricity. Foursquare needs to deepen our connection with our partners: explaining to business leaders why it’s critical to leverage more than a single Foursquare solution—be it ad campaigns with Pinpoint, measurement with Attribution, or location-based CRM and messaging with our Pilgrim SDK and Places API—by taking all of these parts together and connecting the dots. Foursquare is more and more about bundling technology licensing, mapping capabilities, and marketing optimization in a suite of solutions. It’s the reason I joined, to help lead the team into packaging these broad “solution sets” for leading organizations and brands.

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Jul
10

A Major Breakdown In Our Collective Intelligence

Yesterday’s post Relentlessly Turning Input Knobs To 0 generated a bunch of interesting private comments. It also generated a few public ones, including the link to the article What is the problem with social media? by Jordan Greenhall which was extraordinary.

Jordan asserts that the problem with social media can be broken down into four foundation problems.

Supernormal stimuli;Replacing strong link community relationships with weak link affinity relationships;Training people on complicated rather than complex environments; andThe asymmetry of Human / AI relationships

He then has an essay on each one. The concept of supernormal stimuli is straightforward and well understood already, yet Jordan has a nice set of analogies to explain it. Tristan Harris and his team at the Center for Humane Technology have gone deep on this one – both problems and solutions.

I found the second essay – replacing strong link community relationships with weak link affinity relationships – to resonate with something I’ve been experiencing in real time. As my weak link affinity relationship activity diminishes (through lack of engagement on Facebook and Twitter), all the time I spent on that has shifted to strong link community relationships. Some of these are in person, some by video, some by phone, and some by email, but they are all substantive, rather than shallow (or weak.) I also find that I’m having a wider and deeper range of interesting interactions, rather than a continuous reinforcement of the same self-affirming messages. And, I’m more settled, as I’m not reacting to endless shallow stimuli or interacting with lightweight intention. And, my brain feels like it has more space to roam.

The third essay – training people on complicated rather than complex environments – totally nailed it for me. Ian Hathaway, my co-author on Startup Communities 2, has been working deeply on how startup communities are complex (rather than complicated) systems. This is a central theme of our upcoming book and the contrast between a complicated system (having a finite and bounded (unchanging) set of possible dynamic states) and a complex system (having an infinite and unbounded (growing, evolving) set of possible dynamic states) is a really important one. I loved Greenhall’s conclusion:

“In the case of complexity, the optimal choice goes in a very different direction: to become responsive. Because complex systems change, and by definition change unexpectedly, the only “best” approach is to seek to maximize your agentic capacity in general. In complication, one specializes. In complexity, one becomes more generally capable.”

He then goes on to define social media as training humans to navigate a complicated system, taking time away from us “training our sense making systems to explore an open complex space.” His examples of how this works in the context of Facebook are excellent.

While the asymmetry of Human / AI relationships is nothing new, the Ke Ji / AlphaGo / AlphaGo Zero story is a reminder of what we are contending with. I loved:

“The Facebook AI is Alpha Go. The equivalent of Alpha Go Zero is a few minutes in the future. We need to get our heads around the fact that this kind of relationship, a relationship between humans and AI, is simply novel in our experience and that we cannot rely on any of our instincts, habits, traditions or laws to effectively navigate this new kind of relationship. At a minimum, we need to find a way to be absolutely dead certain that in every interaction, these gods of social media have our individual best interests in mind.”

I didn’t expect this treat to come out of my blog post yesterday, but it’s part of why I blog. And I doubt I would have found it scanning my social media feeds.

Also published on Medium.

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Original author: Brad Feld

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Jun
13

1Mby1M Virtual Accelerator Investor Forum: With Mackey Craven of OpenView Venture Partners (Part 1) - Sramana Mitra

According to a MarketResearch report, the global mobile VoIP market is a fast growing one. According to the researcher, the low cost of calls offered by VoIP providers are driving growth in the...

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Original author: MitraSramana

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Jul
10

With Lime teaming up with Uber, can rival Bird afford to go it alone?

Yesterday, we learned that 18-month-old, Bay Area-based electric scooter rental company Lime is joining forces with the ride-hailing giant Uber, which is both investing in the company as part of a $335 million round and planning to promote Lime in its mobile app. According to Bloomberg, Uber also plans to plaster its logo on Lime’s scooters.

Lime isn’t being acquired outright, in short, but it looks like it will be. At least, Uber struck a similar arrangement with the electric bike company JUMP bikes before spending $200 million to acquire the company in spring.

There are as many questions raised by this kind of tie-up as answered, but the biggest may be what the impact means for Lime’s fiercest rival in the e-scooter wars, 15-month-old L.A.-based Bird, which several sources tell us also discussed a potential partnership with Uber.

Despite recently raising $300 million in fresh capital at a somewhat stunning $2 billion valuation, could its goose be, ahem, cooked?

At first glance, it would appear so. Uber’s travel app is the most downloaded in the U.S. by a wide margin, despite gains made last year by its closest U.S. competitor, Lyft, as Uber battled one scandal after another. It’s easy to imagine that Lime’s integration with Uber will give it the kind of immediate brand reach that most founders can only dream about.

A related issue for Bird is its relationship with Lyft, which . . . isn’t great. Bird’s founder and CEO, Travis VanderZanden, burned that bridge when, not so long after Lyft acqui-hired VanderZanden from a small startup he’d launched and made him its COO, he left to join rival Uber.

Lyft, which sued VanderZanden for allegedly breaking a confidentiality agreement when he joined Uber, later settled with him for undisclosed terms. But given their history, it’s hard to imagine Lyft — which also has a much smaller checkbook than Uber — paying top dollar to acquire his company.

Where that leaves Bird is an open question, but people familiar with both Bird and Lime suggest the e-scooter war is far from over.

For example, though Uber sees its partnership with Lime as “another step towards our vision of becoming a one-stop shop for all your transportation needs,” two sources familiar with Bird’s thinking are quick to underscore its plans to expand internationally quickly and not merely fight a turf war in the U.S. (It already has one office in China.)

That Sequoia Capital led Bird’s most recent round of funding helps on this front, given Sequoia Capital China’s growing dominancein the country and the relationships that go with it. Then again, Sequoia is also an investor in Uber, having acquired a stake in the company earlier this year. And alliances are generally temperamental in this brave new world of transportation. In just the latest unexpected twist, Lime’s newest round included not only Uber but also GV, the venture arm of Alphabet, which only recently resolved a lawsuit with Uber.

Another wrinkle to consider is the exposure that Lime receives from Uber, which could prove double-edged, given the company’s ups and downs. Uber’s new CEO, Dara Khosrowshahi, appears determined to steer the company to a smooth and decidedly undramatic public offering in another year or so. But for a company of Uber’s scale and scope, that’s a challenge, to say the least. (Its newest hire, Scott Schools — a former top attorney at the U.S. Justice Department and now Uber’s chief compliance officer — will undoubtedly be tasked with minimizing the odds of things going astray.)

Lime’s arrangement with Uber could potentially create other opportunities for Bird. First, by agreeing to allow Uber to apply its branding to its scooters, Lime will be diluting its own brand. Even if Uber never acquires the company, riders may well associate Lime with Uber and think, for better or worse, that it’s a subsidiary.

Further, Uber does not appear to have made any promises to Lime in terms of how prominently its app is featured within its own mobile app, which already crams in quite a lot, from offering free ride coupons to featuring local offers to promoting its Uber Eats business.

Consider that in January 2017, Google added to both the Android and iOS versions of its Google Maps service the ability to book an Uber ride. Uber might have thought that a coup, too, at the time. But last summer, Google quietly removed the feature from its iOS app, and it removed the service from Android just last month. If there wasn’t much outrage over the decision, likely it’s because so few users of Google Maps noticed the feature in the first place.

Lime’s arrangement could prove more advantageous than that. Only time will tell. But everything considered, whether or not Bird flies away with this competition will likely owe less to Lime’s new arrangement with Uber than with its own ability to execute. That includes making its own mobile app the kind of go-to destination that Uber’s has become.

Certainly, that’s what Bird’s flock would argue will happen. Yesterday afternoon, Roelof Botha, a partner at Sequoia and a Bird board member, declined to discuss the Lime deal, instead emailing one short observation seemingly designed to say it all: “Travis [VanderZanden] is far more customer obsessed than competitor obsessed. That is a quality we look for in great founders.”

A Bird spokesperson offered an equally sanguine quote, saying that Bird is “happy to see our friends in the ride-sharing industry coalesce on the pressing need to offer a sustainable and affordable alternative to car trips.”

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Jul
08

Startup Ideas for the Post Covid World: Home Based Healthcare - Sramana Mitra

While massive restaurant chains might have resources to build out their own management systems or integrate with larger point-of-sale providers, Toast — a provider of tools for restaurants to manage their business — is raising a big round of funding to go after everyone else.

Now Toast is a business valued at $1.4 billion, thanks to a fresh infusion of $115 million in its latest round of funding. At its core, Toast is a point-of-sale for restaurants, though over time it’s added more and more services on top of that. Now the goal is to be not just a point of sale, but offer a whole system to help restaurants operate efficiently. That can range from the actual point of sale all the way to loyalty programs and reporting on that information. The round was led by T. Rowe Price Associates, with participation from new investor Tiger Global Management and other existing investors.

“We’re just trying to keep our finger on the pulse to what matters to restauranteurs,” CFO Tim Barash said. “We hear a lot about the labor side of the equation. We’re working through what to do there. If you ask restaurants about the number one thing they’re thinking about, most respondents say it’s around labor — that’s a really big one.”

Starting off in 2011 as a point-of-sale business, the company now offers a complete suite of tools that help restaurants streamline both the front and back house of the restaurant. And as Toast collects more and more data on how restaurants are using its tools — like any startup with a lot of inbound data, really — it can start helping those restaurants figure out how to improve their businesses further. That might be modifying menus slightly based on what people are enjoying, or pointing them in the right direction as to when to make slight adjustments to their basic operations.

There’s also an online ordering part of the business. Toast helps restaurants boot up an online ordering part of their business quickly, in addition to offering tools to help streamline that process. A restaurant might deal with a flood of orders or throttle them if necessary. Businesses then get reports on their whole online ordering business, helping them further calibrate what to offer — and what might work better for the in-person experience as well.

The next focus for Toast, Barash said, is figuring out the labor side of the equation. That comes down to helping restaurants not only find new employees, but also figure out how to retain them in an industry with a significant amount of turnover. Attacking the hiring part of the problem is one approach, though there are other approaches like Pared, which looks to turn the labor market for restaurants into an on-demand one. But there’s obvious low-hanging fruit, like making it easier to switch shifts, among other things, Barash said.

“One in 11 working human beings work in restaurants,” Barash said. “I would say we’re still trying to figure out what we can do as a central platform of record, continuing to carry a high quality network of partners or us building some things ourselves. We’re early days in figuring them out. If you go to any restaurant in Boston, and look at all the help wanted signs, you can see the barrier to being successful is a lot of times more on the employee side than on the guest side. Then once you have them hired, you have to think about how you can retain those employees and make sure they’re engaged and successful.”

Toast isn’t the only startup looking to own a point-of-sale and then expand into other elements of running a business, though. Lightspeed POS, which also offers a pretty large set of tools for brick-and-mortar stores — including restaurants — raised $166 million late last year. There are also the obvious point-of-sale competitors like Square that, while designed to be a broad solution and not just target restaurants, are pretty widely adopted and can also try to own that whole restaurant management stack, from clocking in and out to getting reports on what’s selling well.

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Jul
10

1Mby1M Virtual Accelerator Investor Forum: With Rajeev Madhavan of Clear Ventures (Part 2) - Sramana Mitra

Sramana Mitra: An aspect of running a company that’s not pleasurable at all. Coming back to Clear Ventures journey, let’s double-click down a little bit on what stage are you looking for. When you...

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Original author: Sramana Mitra

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Jul
08

Medallia Looks to Verticalized Offerings and Acquisitions - Sramana Mitra

Traders have rotated towards more defensive sectors since June. Mario Tama/Getty Images

The stock market is at a turning point, according to Morgan Stanley.

For many months, the bank's equity strategists have written to clients about a forthcoming rotation towards defensive sectors, which investors prefer during downturns. They warned about a long, drawn out bear market in valuations that's underway, marked by slower profit growth. They recommended utilities as the best defensive sector as the broader stock market risks losses.

In a note on Monday, Mike Wilson, the chief US equity strategist, said the market's turning point arrived in June. Since June 18, defensive sectors like utilities and real estate have outperformed cyclical sectors like tech and financials.

Morgan Stanley

Wilson also identified that two out of three conditions for a rotation to defensive sectors are happening, and investors are discounting them: peaking S&P 500 earnings-per-share growth on a year-on-year basis, and a top in the 10-year Treasury yield. The third would occur if the 10-year yield falls below the 2-year — a so-called yield-curve inversion.

Morgan Stanley

They took their defensive call into a higher gear by downgrading small-caps to equal-weight, and tech stocks to underweight, in a client note on Monday. They also upgraded consumer staples and telecom stocks to equal weight.

"We think it makes sense to lower broad [tech] exposure in the near term, or, at the very least, hedge sector exposure aggressively into earnings season as elevated valuations, lack of material earnings upside, extended positioning, technicals, and trade related risks all add up to a poor risk reward for the sector in the near term," Michael Wilson, the chief US equity strategist, said in a note on Monday.

Analysts project 25% earnings growth for tech companies, which will report second-quarter results shortly. However, Wilson said there's not much room to meaningfully beat expectations, even if they're met.

This "remarkable" earnings forecast is already reflected in stock prices, Wilson said. Similarly, the fundamentals that would drive the earnings growth is already priced in. While not in "bubble" territory, the price-to-earnings ratio for S&P 500 tech companies is over two standard deviations above the post-crisis average, he added.

Tech companies, particularly hardware providers that source parts from all over the world, have benefitted from global trade but are in the crosshairs of a trade war. Wilson expects managements to address trade during earnings calls, which could dampen their guidance and earnings growth.

On a technical note, Wilson observed that fewer stocks are trading below their 200-day moving averages.

"Given its exceptional growth and quality characteristics, tech has been a holdout to date," Wilson said.

"However, we suspect it will not be immune from the changing attitudes toward risk assets we are seeing across markets and think the sector may have benefitted from a false sense of security the past few months."

Original author: Akin Oyedele

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May
19

1Mby1M Virtual Accelerator Investor Forum: With Darshan Vyas of LOUD Capital (Part 2) - Sramana Mitra

It's definitely impressive — but it's not quite "Big Brother" yet. REUTERS/Bobby Yip

The Chinese government is working to create a techno-authoritarian state powered by artificial intelligence and facial recognition to track and monitor its 1.4 billion citizens.

The government has big plans to have a ubiquitous surveillance network, leading the country to becoming the biggest market in the world for video surveillance — $6.4 billion in 2016, according to estimates from IHS Markit Ltd. China already has 170 million security cameras in use for its so-called Skynet surveillance system, with 400 million more on the way in the coming years.

Far from hiding its wide-reaching abilities from the public, the government has frequently touted its high-tech surveillance successes in recent months.

AFP/Getty Images

Last September, English-language state newspaper China Daily touted how police in Qingdao used facial recognition technology to catch 25 would-be criminals. In March, Beijing police began using facial recognition and AI-powered glasses to catch criminals — just a couple months after police in Henan and Zhengzhou began testing the glasses at train stations.

In Xiangyang, a giant screen was set up over a crosswalk to display the names and faces of jaywalkers and other lawbreakers that cameras caught at the intersection. And in December, China demonstrated its sophisticated "Skynet" system by having it track down a BBC reporter in just 7 minutes.

But all of these successes belie a simple reality: the surveillance tech is not nearly as pervasive or effective as the government or the media purports it to be.

Face++ isn't all-powerful yet

Entrance to Megvii's offices are managed by its Face++ software.Harrison Jacobs/Business Insider

On a recent visit to the offices of Megvii, a leading artificial intelligence startup and one of the main providers behind the facial recognition tech used by Chinese police, I met with Xie Yinan, the company's vice president.

Despite notions that Chinese police's facial recognition capabilities can track down anyone, anywhere, that's simply not what the technology is capable of, according to Xie.

He said Megvii's Face++ platform, which numerous police departments in China have used to help them arrest 4,000 people since 2016, has serious technological limitations.

For example, even if China had facial scans of every one of its citizens uploaded to its system, it would be impossible to identify everyone passing in front of a Face++-linked camera. While the Face++ algorithm is more than 97% accurate, it can only search a limited number of faces at a time.

In order to work, police would have to upload the faces they want to track to a local server at the train station or command center where they intend to look. Face++ would then use its algorithm to match those faces to the ones it encounters in the real world.

Harrison Jacobs/Business Insider

Xie said it wouldn't be feasible to have the system search for more than 1,000 faces at a time — the data and processing power required for an operation larger than that would require a supercomputer. Plus, Xie said they can't run the system 24/7 today. It's the kind of thing police will have to activate proactively when a situation is underway.

While it is possible that the system could be connected to a supercomputer over the cloud to amplify computing power, it would be too dangerous from a security perspective. The system has to stay offline and local.

When I asked whether Xie or the company have any concerns over how police could misuse the Face++ platform, he essentially said it's up to the government to write the legal framework on when and how law enforcement can use it.

"We don't have access to the data," he said. "What we do is sell them a server [loaded with Face++]. That's all."

Exaggerating technological advancements

Facial recognition isn't the only area where China's techno-authoritarian capabilities have been exaggerated, by both the media and the government.

At the crosswalk in Xiangyang, there is a 5- to 6-day delay between when someone commits crime and when their face appears on the billboard. Local officials told The New York Times that humans, not an algorithm, look through the photos the crosswalk camera captures to match them with people's identities.

Meanwhile, the smart glasses police are using in Beijing and Zhengzhou only work if a target stands still for several seconds. It's less being used to spot criminals than to verify travelers' identifications.

Police in China monitor vast quantities of surveillance cameras from central command hubs. AFP/AFP/Getty Images

But, in some ways, it hardly matters. Those nuances are often lost on the public, particularly when state media has gone to such lengths to convince its populace of its technological prowess.

In Zhengzhou, a heroin smuggler confessed after police showed the suspect their smart glasses and said it could incriminate him, The Times recently reported.

"The whole point is that people don't know if they're being monitored, and that uncertainty makes people more obedient," Martin Chorzempa, a fellow at the Peterson Institute for International Economics, told The Times.

Of course, it's likely only a matter of time before the technology gets better. The Chinese government and the country's tech investors are pouring money into facial recognition startups like Megvii.

Megvii raised $460 million last November, much of which came from a state-owned venture fund. While the valuation hasn't been disclosed, it's likely that it is close to or tops $2 billion. Two smaller Chinese companies include DeepGlint, and Yitu Technology, which raised $380 million last year.

SenseTime, a competitor, became the world's highest valued AI startup after raising $600 million in April and $620 million in June. It now has a valuation of $4.5 billion.

Original author: Harrison Jacobs

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