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Uber, Lyft and the challenge of transportation startup profits

How much does transportation cost you?

In most cities, bus or subway fare might set you back $3 or so. A tank of gas, maybe $30 or $40 depending on your car. An hour of street parking? Sometimes it’s free, sometimes it’s a few bucks. And you can usually snag an economy seat on a round-trip U.S. domestic flight for less than $300.

These numbers probably ring true for most people. There’s just one problem: Everything you know about the cost of transportation is wrong.

Despite a massive infusion of venture capital into the transportation sector over the past few years, mobility startups are starting to learn what every transportation business has known for generations: transportation profits are elusive, and the system is mainly held together by subsidies. Will this be the first generation of transportation businesses to escape history?

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Edgybees’s new developer platform brings situational awareness to live video feeds

San Diego-based Edgybees today announced the launch of Argus, its API-based developer platform that makes it easy to add augmented reality features to live video feeds.

The service has long used this capability to run its own drone platform for first responders and enterprise customers, which allows its users to tag and track objects and people in emergency situations, for example, to create better situational awareness for first responders.

I first saw a demo of the service a year ago, when the team walked a group of journalists through a simulated emergency, with live drone footage and an overlay of a street map and the location of ambulances and other emergency personnel. It’s clear how these features could be used in other situations as well, given that few companies have the expertise to combine the video footage, GPS data and other information, including geographic information systems, for their own custom projects.

Indeed, that’s what inspired the team to open up its platform. As the Edgybees team told me during an interview at the Ourcrowd Summit last month, it’s impossible for the company to build a new solution for every vertical that could make use of it. So instead of even trying (though it’ll keep refining its existing products), it’s now opening up its platform.

“The potential for augmented reality beyond the entertainment sector is endless, especially as video becomes an essential medium for organizations relying on drone footage or CCTV,” said Adam Kaplan, CEO and co-founder of Edgybees. “As forward-thinking industries look to make sense of all the data at their fingertips, we’re giving developers a way to tailor our offering and set them up for success.”

In the run-up to today’s launch, the company has already worked with organizations like the PGA to use its software to enhance the live coverage of its golf tournaments.

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Lidar and perception startup Innoviz raises $132 million

Innoviz, the Israel-based startup developing solid-state lidar sensors and perception software for autonomous vehicles, has raised $132 million in a Series C funding round that includes major Chinese financial institutions.

The round, which makes Innoviz one of the better capitalized lidar startups, includes China Merchants Capital (SINO-BLR Industrial Investment Fund, L.P.), Shenzhen Capital Group and New Alliance Capital. Israeli institutional investors Harel Insurance Investments and Financial Services and Phoenix Insurance Company also participated. 

The Series C round will remain open for a second closing to be announced in the coming months, the company said.

Lidar measures distance using laser light to generate highly accurate 3D maps of the world around the car. It’s considered by most in the self-driving car industry a key piece of technology required to safely deploy robotaxis and other autonomous vehicles. Innoviz is developing solid-state lidar, which proponents of this technology say is more reliable over time because of the lack of moving parts.

Like so many startups with fresh capital, Innoviz plans to use the funds to scale up the company.

For Innoviz, this means increasing production of its lidar sensors and expanding its manufacturing capacity. Innoviz is focused on expanding in important automotive markets, including the U.S., Europe, Japan and China. Innoviz has been pushing into China over the past year through a partnership with the Chinese automotive supplier HiRain Technologies, a global supplier to some of China’s largest automakers.

That company has half of its business coming from China and has won nine of its supplier agreements with different automakers in the country through its HiRain partnership, according to people with knowledge of the company.

The company’s aim is to enable high-volume delivery of its automotive-grade lidar system called InnovizOne. This product can be produced and sold at a 90 percent lower cost than its first-generation system, according to Innoviz. 

Innoviz said it also plans to expand its research and development efforts by investing in the buildout of next-generation products and software that will feature more cost reductions and improved performance.

Innoviz’s strategy has been to partner with a number of OEMs and Tier 1 suppliers such as Magna, HARMAN, HiRain Technologies and Aptiv and to package perception software with its lidar sensors and offer it as a complete unit for companies developing autonomous vehicle technology.

Innoviz has locked in several key customers, notably BMW. The automaker picked Innoviz’s tech for series production of autonomous vehicles starting in 2021.

In March, Lyft announced a partnership with Magna to help get its self-driving tech into various automakers, as well as implement the ride-hailing service into future autonomous cars. Innoviz raised $65 million in Series B funding in 2017, from strategic partners and leading auto industry suppliers Delphi Automotive and Magna International, along with other investors.

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Google will bring its Assistant to Android Messages

It’s only been a few weeks since Google brought the Assistant to Google Maps to help you reply to messages, play music and more. This feature first launched in English and will soon start rolling out to all Assistant phone languages. In addition, Google also today announced that the Assistant will come to Android Messages, the standard text messaging app on Google’s mobile operating system, in the coming months.

If you remember Allo, Google’s last failed messaging app, then a lot of this will sound familiar. For Allo, after all, Assistant support was one of the marquee features. The different, though, is that for the time being, Google is mostly using the Assistant as an additional layer of smarts in Messages while in Allo, you could have full conversations with a special Assistant bot.

In Messages, the Assistant will automatically pop up suggestion chips when you are having conversations with somebody about movies, restaurants and the weather. That’s a pretty limited feature set for now, though Google tells us that it plans to expand it over time.

What’s important here is that the suggestions are generated on your phone (and that may be why the machine learning model is limited, too, since it has to run locally). Google is clearly aware that people don’t want the company to get any information about their private text chats. Once you tap on one of the Assistant suggestions, though, Google obviously knows that you were talking about a specific topic, even though the content of the conversation itself is never sent to Google’s servers. The person you are chatting with will only see the additional information when you push it to them.

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Arm expands its push into the cloud and edge with the Neoverse N1 and E1

For the longest time, Arm was basically synonymous with chip designs for smartphones and very low-end devices. But more recently, the company launched solutions for laptops, cars, high-powered IoT devices and even servers. Today, ahead of MWC 2019, the company is officially launching two new products for cloud and edge applications, the Neoverse N1 and E1. Arm unveiled the Neoverse brand a few months ago, but it’s only now that it is taking concrete form with the launch of these new products.

“We’ve always been anticipating that this market is going to shift as we move more towards this world of lots of really smart devices out at the endpoint — moving beyond even just what smartphones are capable of doing,” Drew Henry, Arms’ SVP and GM for Infrastructure, told me in an interview ahead of today’s announcement. “And when you start anticipating that, you realize that those devices out of those endpoints are going to start creating an awful lot of data and need an awful lot of compute to support that.”

To address these two problems, Arm decided to launch two products: one that focuses on compute speed and one that is all about throughput, especially in the context of 5G.

ARM NEOVERSE N1

The Neoverse N1 platform is meant for infrastructure-class solutions that focus on raw compute speed. The chips should perform significantly better than previous Arm CPU generations meant for the data center and the company says that it saw speedups of 2.5x for Nginx and MemcacheD, for example. Chip manufacturers can optimize the 7nm platform for their needs, with core counts that can reach up to 128 cores (or as few as 4).

“This technology platform is designed for a lot of compute power that you could either put in the data center or stick out at the edge,” said Henry. “It’s very configurable for our customers so they can design how big or small they want those devices to be.”

The E1 is also a 7nm platform, but with a stronger focus on edge computing use cases where you also need some compute power to maybe filter out data as it is generated, but where the focus is on moving that data quickly and efficiently. “The E1 is very highly efficient in terms of its ability to be able to move data through it while doing the right amount of compute as you move that data through,” explained Henry, who also stressed that the company made the decision to launch these two different platforms based on customer feedback.

There’s no point in launching these platforms without software support, though. A few years ago, that would have been a challenge because few commercial vendors supported their data center products on the Arm architecture. Today, many of the biggest open-source and proprietary projects and distributions run on Arm chips, including Red Hat Enterprise Linux, Ubuntu, Suse, VMware, MySQL, OpenStack, Docker, Microsoft .Net, DOK and OPNFV. “We have lots of support across the space,” said Henry. “And then as you go down to that tier of languages and libraries and compilers, that’s a very large investment area for us at Arm. One of our largest investments in engineering is in software and working with the software communities.”

And as Henry noted, AWS also recently launched its Arm-based servers — and that surely gave the industry a lot more confidence in the platform, given that the biggest cloud supplier is now backing it, too.

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Google acquires cloud migration platform Alooma

Google today announced its intention to acquire Alooma, a company that allows enterprises to combine all of their data sources into services like Google’s BigQuery, Amazon’s Redshift, Snowflake and Azure. The promise of Alooma is that it handles the data pipelines and manages them for its users. In addition to this data integration service, though, Alooma also helps with migrating to the cloud, cleaning up this data and then using it for AI and machine learning use cases.

“Here at Google Cloud, we’re committed to helping enterprise customers easily and securely migrate their data to our platform,” Google VP of engineering Amit Ganesh and Google Cloud Platform director of product management Dominic Preuss write today. “The addition of Alooma, subject to closing conditions, is a natural fit that allows us to offer customers a streamlined, automated migration experience to Google Cloud, and give them access to our full range of database services, from managed open source database offerings to solutions like Cloud Spanner and Cloud Bigtable.”

Before the acquisition, Alooma had raised about $15 million, including an $11.2 million Series A round led by Lightspeed Venture Partners and Sequoia Capital in early 2016. The two companies did not disclose the price of the acquisition, but chances are we are talking about a modest price, given how much Alooma had previously raised.

Neither Google nor Alooma said much about what will happen to the existing products and customers — and whether it will continue to support migrations to Google’s competitors. We’ve reached out to Google and will update this post once we hear more.

Update. Here is Google’s statement about the future of the platform:

For now, it’s business as usual for Alooma and Google Cloud as we await regulatory approvals and complete the deal. After close, the team will be joining us in our Tel Aviv and Sunnyvale offices, and we will be leveraging the Alooma technology and team to provide our Google Cloud customers with a great data migration service in the future.

Regarding supporting competitors, yes, the existing Alooma product will continue to support other cloud providers. We will only be accepting new customers that are migrating data to Google Cloud Platform, but existing customers will continue to have access to other cloud providers.   
So going forward, Alooma will not accept any new customers who want to migrate data to any competitors. That’s not necessarily unsurprising and it’s good to see that Google will continue to support Alooma’s existing users. Those who use Alooma in combination with AWS, Azure and other non-Google services will likely start looking for other solutions soon, though, as this also means that Google isn’t likely to develop the service for them beyond its current state.

Alooma’s co-founders do stress, though, that “the journey is not over. Alooma has always aimed to provide the simplest and most efficient path toward standardizing enterprise data from every source and transforming it into actionable intelligence,” they write. “Joining Google Cloud will bring us one step closer to delivering a full self-service database migration experience bolstered by the power of their cloud technology, including analytics, security, AI, and machine learning.”

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How business-to-business startups reduce inequality

Sibjeet Mahapatra
Contributor

Sib Mahapatra is a writer and co-founder of Bureau, an end-to-end office furniture startup in NYC.

When considering the structural impact of technology companies on our economy and society, we tend to focus on questions of scale and monopoly.

It’s true that the FAANG companies and more recent winners (Airbnb, Uber) have surfed a combination of network effects, preferential access to capital and classic efficiencies of scale to generate tremendous value for their shareholders — to the detriment of new entrants who attempt to unseat them.

At their high water mark in mid-2018, FAANG alone made up 11 percent of the total market cap of the S&P 500 and 38 percent of the index’s year-to-date gain, representing a doubling in their influence in only five years. The question of regulating technology companies — to the point of instituting anti-trust actions — has even become a rare point of relative concord between Democrats and Republicans in Congress.

But is the narrative of tech companies in the 2010s only a story of economic consolidation and growing inequality? Many of the most successful B2B startups of the last decade are aligned by a theme that paints a different picture. By transforming the nature of the costs required to start a business, these startups are reducing the influence of capital and leveling the playing field for new entrants to share in the surplus generated by the secular shift to a tech-mediated economy.

Source: Getty Images/MIKIEKWOODS

A path to equal opportunity: Turning fixed costs into variable costs

What do AWSWeWorkStordGusto and RocketLawyer have in common? They provide cloud computing services, office space, warehouse storage, payroll management and access to legal templates, respectively — at first glance, not a particularly congruent set of services.

But they are alike in the economic purpose they serve for their customers. Each of these services takes a fixed cost — a bank of servers, a lease, a legal retainer — and transforms it into a variable cost. As a refresher, a fixed cost stays constant regardless of output, and variable costs scale with the output of a business.

When my father started his software consulting business in the early 1990s, I remember the giant boxes of AIX servers that arrived at our apartment, and tagging along to office tours in central New Jersey before he decided to run the company out of our spare bedroom. Back then, starting almost any kind of business was hard because of high fixed costs. Without AWS or WeWork, you shelled out upfront for hardware and a lease.

Access to capital, whether in the form of a bank loan, savings or friends and family was a prerequisite for entrepreneurship.

Today, startups make it possible to start and scale almost any kind of business while incurring few fixed costs. Want to found an e-commerce store? Start with a free Shopify account and dropship your inventory. Want to become a freelance designer? Put a shingle up on Fiverr and meet clients at a Breather you rent by the hour.

Whether software or hardware or labor, building a business is way easier when overhead is transformed into a string of flexible microservices that you only pay for as you grow.

Image courtesy of Getty Images

Lower fixed costs means capital matters less

Taken together, startups that turn fixed costs into variable costs make it less capital-intensive to start a business. This decreases the influence of gatekeepers and aggregators of capital — an impact evident in the way entrepreneurs think about starting businesses today.

It’s no coincidence that the rise of B2B startups fitting this theme has coincided with the bootstrap movement, in which tech entrepreneurs with major ambitions demur from raising venture funding because — well, they don’t need the money anymore.

It has also coincided with a renaissance in freelance entrepreneurship: 56.7 million Americans freelanced in 2018. Beyond the economic benefits of working for yourself — the fastest growing segment of freelancers earns more than $75,000 a year — freelancers can access the lifestyle and health benefits of owning their destiny, which aren’t directly captured but play a role in the economic picture. Indeed, 51 percent of freelancers said no amount of money would lure them into a traditional job, and 64 percent reported feeling healthier and happier.

When capital plays a reduced role in new business formation, access to capital plays a smaller role in determining who will succeed. More companies are founded, and the economy becomes more likely to birth new Davids that will unseat the Goliaths. Economics 101: lower barriers to entry create markets that converge on perfect competition instead of oligarchic concentration.

Source: Getty Images/ERHUI1979

Variable costs don’t scale, but that’s OK

Variable costs have their downsides. A startup with a relatively higher proportion of fixed costs — the profile of the classic high-tech software business — can achieve higher profit margins as it scales. Compare Microsoft or Google, which pay high fixed costs in the form of salaries and servers but few costs in delivering their services and achieve operating margins of 25-30 percent, to Costco, which takes in more than $100 billion of annual revenue but earns an operating margin in the single digits.

That’s OK. Neither type of cost is “better” or “worse,” but having the option to decide how to structure costs through a company’s life cycle can meaningfully impact an entrepreneur’s ability to execute a business idea.
Founders investigating startup ideas — and politicians debating the impact of technology — would do well to pay attention to how B2B companies have democratized access to entrepreneurship.

Equality of outcome arrives from equality of opportunity — and a future where millions of people can start businesses, differentiate and succeed on the basis of their ability and value proposition, rather than their access to capital, sounds like a promising representation of the egalitarian ethos Silicon Valley wants to bring to pass.

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Samsung Galaxy S10+ leak shows headphone jack, dual hole-punch camera

The Samsung Galaxy S10 is slowly being revealed through unofficial means. Several leaks have revealed key details, and the latest report is the most detailed yet. According to All About Samsung, the upcoming Samsung flagship will have tiny bezels, front-facing cameras that poke through the display, a USB-C port and a headphone jack.

This report meshes with past leaks. There could be three variations of the phone: the S10, S10+ and a new version called the S10E. It’s been reported that Samsung will position the S10 as the main model, with the S10+ being the large-screen model (and the only with dual-front facing cameras). The S10E will likely be a less expensive version and could even have an LCD screen instead of an OLED screen.

Most of the phone’s details have leaked out, but a few questions remain. Will the phone have a fingerprint reader embedded into the screen? Will the phones have improved facial recognition to compete more directly with Apple’s Face ID? And lastly, will Samsung jack up the prices in line with the latest iPhone prices?

Samsung plans to unveil the Galaxy S10 at an event in San Francisco on February 20. We’ll have a team on the ground to tell you more about the device.

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Connecting African software developers with top tech companies nets Andela $100 million

Andela, the company that connects Africa’s top software developers with technology companies from the U.S. and around the world, has raised $100 million in a new round of funding.

The new financing from Generation Investment Management (the investment fund co-founded by former Vice President Al Gore) puts the valuation of the company at somewhere between $600 million and $700 million, based on data available from PitchBook on the company’s valuation following its previous $40 million funding.

Previous investors from that financing, including the Chan Zuckerberg Initiative, GV, Spark Capital and CRE Venture Capital, also participated.

“It’s increasingly clear that the future of work will be distributed, in part due to the severe shortage of engineering talent,” says Jeremy Johnson, co-founder and CEO of Andela. “Given our access to incredible talent across Africa, as well as what we’ve learned from scaling hundreds of engineering teams around the world, Andela is able to provide the talent and the technology to power high-performing teams and help companies adopt the distributed model faster.”

The company now has more than 200 customers paying for access to the roughly 1,100 developers Andela has trained and manages.

Since its founding in 2014, Andela has seen more than 130,000 applicants for those 1,100 slots. After a promising developer is onboarded and goes through a six-month training bootcamp at one of the company’s coding campuses in Nigeria, Kenya, Rwanda or Uganda, they’re placed with an Andela customer to work as a remote, full-time employee.

Andela receives anywhere from $50,000 to $120,000 per developer from a company and passes one-third of that directly on to the developer, with the remainder going to support the company’s operations and cover the cost of training and maintaining its facilities in Africa. Coders working with Andela sign a four-year commitment (with a two-year requirement to work at the company), after which they’re able to do whatever they want.

Even after the two-year period is up, Andela boasts a 98 percent retention rate for developers, according to a person with knowledge of the company’s operations.

With the new cash in hand, Andela says it will double in size, hiring another thousand developers, and invest in new product development and its own engineering and data resources. Part of that product development will focus on refining its performance monitoring and management toolkit for overseeing remote workforces. 

“We believe Andela is a transformational model to develop software engineers and deploy them at scale into the future enterprise,” says Lilly Wollman, co-head of Growth Equity at Generation Investment Management, in a statement. “The global demand for software engineers far exceeds supply, and that gap is projected to widen. Andela’s leading technology enables firms to effectively build and manage distributed engineering teams.”

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Despite promises to stop, US cell carriers are still selling your real-time phone location data

Last year, four of the largest U.S. cell carriers were caught selling and sending real-time location data of their customers to shady companies that sold it on to big spenders, who would use the data to track anyone “within seconds” for whatever reason they wanted.

At first, little-known company LocationSmart was obtaining (and leaking) real-time location data from AT&T, Verizon, T-Mobile and Sprint and selling access through another company, 3Cinteractive, to Securus, a prison technology company, which tracked phone owners without asking for their permission. This game of telephone with people’s private information was discovered, and the cell carriers, facing heavy rebuke from Sen. Ron Wyden, a privacy-minded lawmaker, buckled under the public pressure and said they’d stop selling and sharing customers’ locations.

And that would’ve been that — until it wasn’t.

Now, new reporting by Motherboard shows that while LocationSmart faced the brunt of the criticism, few focused on the other big player in the location-tracking business, Zumigo. A payment of $300 and a phone number was enough for a bounty hunter to track down the participating reporter by obtaining his location using Zumigo’s location data, which was continuing to pay for access from most of the carriers.

Worse, Zumigo sold that data on — like LocationSmart did with Securus — to other companies, like Microbilt, a Georgia-based credit reporting company, which in turn sells that data on to other firms that want that data. In this case, it was a bail bond company, whose bounty hunter was paid by Motherboard to track down the reporter — with his permission.

Everyone seemed to drop the ball. Microbilt said the bounty hunter shouldn’t have used the location data to track the Motherboard reporter. Zumigo said it didn’t mind location data ending up in the hands of the bounty hunter, but still cut Microbilt’s access.

But nobody quite dropped the ball like the carriers, which said they would not to share location data again.

T-Mobile, at the center of the latest location-selling revelations for passing the reporter’s location to the bounty hunter, said last year in the midst of the Securus scandal that it “reviewed” its real-time location data sharing program and found appropriate controls in place. To appease even the skeptical, T-Mobile chief executive John Legere tweeted at the time that he “personally evaluated the issue” and promised that the company “will not sell customer location data to shady middlemen.”

It’s hard to see how that isn’t, in hindsight, a downright lie.

Sounds like word hasn’t gotten to you, @ronwyden. I’ve personally evaluated this issue & have pledged that @tmobile will not sell customer location data to shady middlemen. Your consumer advocacy is admirable & we remain committed to consumer privacy. https://t.co/UPx3Xjhwog

John Legere (@JohnLegere) June 19, 2018

This time around, T-Mobile said it “does not have a direct relationship” with Microbilt but admitted one with Zumigo, which, given the story and the similarities to last year’s Securus scandal, could be considered one of many “shady middlemen” still obtaining location data from cell carriers.

Legere later said in a tweet late Wednesday that the company “is completely ending” its relationships with location aggregators in March, almost a year after the company was first implicated in the first location-sharing scandal.

It wasn’t just T-Mobile. Other carriers were also still selling and sharing their customers’ data.

AT&T said in last year’s letter it would “protect customer data” and “shut down” Securus’ access to its real-time store of customer location data. Most saw that as a swift move to prevent third-parties accessing customer location data. Now, AT&T seemed to renege on that year-ago pledge, saying it will “only permit the sharing of location” in limited cases, including when required by law.

Sprint didn’t say what its relationship was with either Zumigo or Microbilt, but once again — like last year — cited its privacy policy as its catch-all to sell and share customer location data. Yet Sprint, like its fellow carriers AT&T and T-Mobile, which pledged to stop selling location data, clearly didn’t complete its “process of terminating its current contracts with data aggregators to whom we provide location data” as it promised in a letter a year ago.

Verizon, the parent company of TechCrunch, wasn’t explicitly cleared from sharing location data with third-parties in Motherboard’s report — only that the bounty hunter refused to search for a Verizon number. (We’ve asked Verizon if it wants to clarify its position — so far, we’ve had nothing back.)

In a letter sent last year when the Securus scandal blew up, Verizon said it would “take steps to stop” sharing data with two firms — Zumigo and LocationSmart, an intermediary that passed on obtained location data to Securus. But that doesn’t mean it’s off the hook. It was still sharing location data with anyone who wanted to pay in the first place, putting its customers at risk from hackers, stalkers — or worse.

Wyden. who tweeted about the story, said carriers selling customer location data “is a nightmare for national security and the personal safety of anyone with a phone.” And yet there’s no way to opt out — shy of a legislative fix — given that two-thirds of the U.S. population aren’t going to switch to a carrier that doesn’t sell your location data.

It turns out, you really can’t trust your cell carrier. Who knew?

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