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General Motors leads $139 million investment into lithium-metal battery developer, SES

General Motors is joining the list of big automakers picking their horses in the race to develop better batteries for electric vehicles with its lead of a $139 million investment into the lithium-metal battery developer, SES.

Volkswagen has QuantumScape; Ford has invested in SolidPower (along with Hyundai and BMW); and now with SES’ big backing from General Motors, most of the big American and European automakers have placed their bets.

“We are beyond R&D development,” said SES chief executive Hu Qichao in an interview with TechCrunch. “The main purposes of this funding is to, one, improve the key material, this lithium metal electrolyte on the anode side and the cathode side, and, two, to improve the scale of the current cell from the iPhone battery size to the size that can be used in cars.”

There’s a third component to the financing as well, Hu said, which is to increase the company’s algorithmic capabilities to monitor and manage cell performance. “It’s something that we and our OEM partners care about,” said Hu.

The investment from GM is the culmination of nearly six years of work with the big automaker, said Hu. “We started working with them in 2015. For the next three years we will go through the standard automation approval processes. Going from ‘A’ sample to ‘B’ sample all the way through ‘D’ sample,” which is the final testing phase before commercial availability of SES’ batteries in cars.

While Tesla, the current leader in electric vehicle sales in America, is looking to improve the form factors of its batteries to make them more powerful and more efficient, Hu said that the chemistry isn’t that different. Solid state batteries represent a step change in battery technology that makes batteries more powerful, easier to recycle and potentially more stable.

As Mark Harris wrote in TechCrunch earlier this year:

There are many different kinds of SSB but they all lack a liquid electrolyte for moving electrons (electricity) between the battery’s positive (cathode) and negative (anode) electrodes. The liquid electrolytes in lithium-ion batteries limit the materials the electrodes can be made from, and the shape and size of the battery. Because liquid electrolytes are usually flammable, lithium-ion batteries are also prone to runaway heating and even explosion. SSBs are much less flammable and can use metal electrodes or complex internal designs to store more energy and move it faster — giving higher power and faster charging.

What SES is doing has brought the company attention not just from General Motors, but from previous investors, including the battery giant SK Innovation; the Singapore-based, government-backed investment firm, Temasek; the venture capital arm of semiconductor manufacturer, Applied Materials, Applied Ventures; the Chinese automaking giant, Shanghai Auto; and investment firm, Vertex.

“GM has been rapidly driving down battery cell costs and improving energy density, and our work with SES technology has incredible potential to deliver even better EV performance for customers who want more range at a lower cost,” said Matt Tsien, GM executive vice president and chief technology officer and president, GM Ventures. “This investment by GM and others will allow SES to accelerate their work and scale up their business.”

  

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Senti Bio raises $105 million for its new programmable biology platform and cancer therapies

Senti Biosciences, a company developing cancer therapies using a new programmable biology platform, said it has raised $105 million in a new round of financing led by the venture arm of life sciences giant Bayer.

The company’s technology uses new computational biological techniques to manufacture cell and gene therapies that can more precisely target specific cells in the body.

Senti Bio’s chief executive, Tim Lu, compares his company’s new tech to the difference between basic programming and object-oriented programming. “Instead of creating a program that just says ‘Hello world’, you can introduce ‘if’ statements and object-oriented programming,” said Lu.

By building genetic material that can target multiple receptors, Senti Bio’s therapies can be more precise in the way they identify genetic material in the body and deliver the kinds of therapies directly to the pathogens. “Instead of the cell expressing a single receptor… now we have two receptors,” he said.

The company is initially applying its gene circuit technology platform to develop therapies that use what are called chimeric antigen receptor natural killer (CAR-NK) cells that can target cancer cells in the body and eliminate them. Many existing cell and gene therapies use chimeric antigen receptor T-cells, which are white blood cells in the body that are critical to immune response and destroy cellular pathogens in the body.

However, T-cell-based therapies can be toxic to patients, stimulating immune responses that can be almost as dangerous as the pathogens themselves. Using CAR-NK cells produces similar results with fewer side effects.

That’s independent of the gene circuit, said Lu. “The gene circuit gets you specificity… Right now when you use a CAR-T cell or a CAR-NK cell… you find a target and hope that it doesn’t affect normal cells. We can build logic in our gene circuits in the cell that means a CAR-NK cell can identify two targets rather than one.”

That increased targeting means lower risks of healthy cells being destroyed alongside mutations or pathogens that are in the body.

For Lu and his co-founders — fellow MIT professor Jim Collins, Boston University professor Wilson Wong and longtime synthetic biology operator Phillip Lee — Senti Bio is the culmination of decades of work in the field.

“I compare it to the early days of semiconductor work,” Lu said of the journey to develop this gene circuit technology. “There were bits and pieces of technology being developed in research labs, but to realize the scale at which you need, this has to be done at the industrial level.”

So licensing work from MIT, Boston University and Stanford, Lu and his co-founders set out to take this work out of the labs to start a company.

When the company was started it was a bag of tools and the know-how on how to use them,” Lu said. But it wasn’t a fully developed platform. 

That’s what the company now has and with the new capital from Leaps by Bayer and its other investors, Senti is ready to start commercializing.

The first products will be therapies for acute myeloid leukemia, hepatocellular carcinoma and other, undisclosed, solid tumor targets, the company said in a statement.

“Leaps by Bayer’s mission is to invest in breakthrough technologies that may transform the lives of millions of patients for the better,” said Juergen Eckhardt, MD, head of Leaps by Bayer. “We believe that synthetic biology will become an important pillar in next-generation cell and gene therapy, and that Senti Bio’s leadership in designing and optimizing biological circuits fits precisely with our ambition to prevent and cure cancer and to regenerate lost tissue function.”

Lu and his co-founders also see their work as a platform for developing other cell therapies for other diseases and applications — and intend to partner with other pharmaceutical companies to bring those products to market.  

“Over the past two years, our team has designed, built and tested thousands of sophisticated gene circuits to drive a robust product pipeline, focused initially on allogeneic CAR-NK cell therapies for difficult-to-treat liquid and solid tumor indications,” Lu said in a statement. “I look forward to continued platform and pipeline advancements, including starting IND-enabling studies in 2021.”

The new financing round brings Senti’s total capital raised to just under $160 million and Lu said the new money will be used to ramp up manufacturing and accelerate its work partnering with other pharmaceutical companies.

The current time frame is to get its investigational new drug permits filed by late 2022 and early 2023 and have initial clinical trials begun in 2023.

Developing gene circuits is a new and expanding field with a number of players, including Cell Design Labs, which was acquired by Gilead in 2017 for up to $567 million. Other companies working on similar therapies include CRISPR Therapeutics, Intellius and Editas, Lu said.

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Edge computing startup Edgify secures $6.5M seed from Octopus, Mangrove and semiconductor

Edgify, which builds AI for edge computing, has secured a $6.5 million seed funding round backed by Octopus Ventures, Mangrove Capital Partners and an unnamed semiconductor giant. The name was not released but TechCrunch understands it may be Intel Corp. or Qualcomm Inc.

Edgify’s technology allows “edge devices” (devices at the edge of the internet) to interpret vast amounts of data, train an AI model locally and then share that learning across its network of similar devices. This then trains all the other devices in anything from computer vision, NLP, voice recognition or any other form of AI.

The technology can be applied to anything from MRI machines, connected cars, checkout lanes, mobile devices and anything that has a CPU, GPU or NPU. Edgify’s technology is already being used in supermarkets, for instance.

Ofri Ben-Porat, CEO and co-founder of Edgify, commented in a statement: “Edgify allows companies, from any industry, to train complete deep learning and machine learning models, directly on their own edge devices. This mitigates the need for any data transfer to the Cloud and also grants them close to perfect accuracy every time, and without the need to retrain centrally.”

Mangrove partner Hans-Jürgen Schmitz, who will join Edgify’s Board comments: “We expect a surge in AI adoption across multiple industries with significant long-term potential for Edgify in medical and manufacturing, just to name a few.”

Simon King, partner and Deep Tech Investor at Octopus Ventures added: “As the interconnected world we live in produces more and more data, AI at the edge is becoming increasingly important to process large volumes of information.”

So-called “edge computing” is seen as being one of the forefronts of deep tech right now.

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Intel has invested $132M in 11 startups this year, on track for $300M-$500M in total

When it comes to corporate venture capital, semiconductor giant Intel has shaped up to be one of the most prolific and prescient investors in the tech world, with investments in 1,582 companies worldwide, and a tally of some 692 portfolio companies going public or otherwise exiting in the wake of Intel’s backing.

Today, the company announced its latest tranche of deals: $132 million invested in 11 startups. The deals speak to some of the company’s most strategic priorities currently and in the future, covering artificial intelligence, autonomous computing and chip design.

Many corporate VCs have been clear in drawing a separation between their activities and that of their parents, and the same has held for Intel. But at the same time, the company has made a number of key moves that point to how it uses its VC muscle to expand its strategic relationships and also ultimately expand through M&A. Just earlier this month, it acquired Moovit, an Intel Capital portfolio company, for $900 million (a deal that was knocked down to $840 million when accounting for its previous investment).

Intel Capital identifies and invests in disruptive startups that are working to improve the way we work and live. Each of our recent investments is pushing the boundaries in areas such as AI, data analytics, autonomous systems and semiconductor innovation. Intel Capital is excited to work with these companies as we jointly navigate the current world challenges and as we together drive sustainable, long-term growth,” said Wendell Brooks, Intel senior vice president and president of Intel Capital, in a statement.

The tranche of deals come at a critical time in the worlds of startups and venture investing. Many are worried that the slowdown in the economy, precipitated by the COVID-19 pandemic, will mean a subsequent slowdown in tech finance. Intel says that it plans to invest between $300 million and $500 million in total this year, so this would go some way to refuting that idea, along with some of the other monster deals and big funds that we’ve written out in the last couple of months.

The list announced today doesn’t include specific investment numbers, but in some cases the startups have also announced the fundings themselves and given more detail on round sizes. These still, however, do not reveal Intel’s specific financial stakes.

Here’s the full list:

  • Anodot uses machine learning to monitor business operations autonomously, covering areas like app performance, customer incidents and more. The idea is that using the platform to monitor for these incidents means detection and response time can be faster. The full $35 million round was announced back in April.
  • Astera Labs is a fabless semiconductor startup focused on connectivity solutions for data-centric systems to remove performance bottlenecks in compute-intensive workloads in areas like AI. It announced its Series B of an undisclosed amount two weeks ago, and prior to this it had raised just over $6 million, according to PitchBook.
  • Axonne develops next-generation high-speed automotive Ethernet network connectivity solutions for connected cars: addressing the issue of merging legacy or proprietary systems with the demands of advanced next-generation applications. Intel invested as part of a $9 million round that actually closed in March.
  • Hypersonix uses big-data analytics to determine and predict customer demand for e-commerce, retail and hospitality customers. One of its customers is Amazon — which uses Hypersonix’s platform in its supply chain division. That may come as a surprise, but according to Hypersonix’s CEO, the e-commerce giant does not have dedicated analytics teams to serve every division in the company, so sometimes they do buy from third parties. The round was actually announced at the beginning of this month: an $11.5 million deal.
  • KFBIO out of China is one of Intel’s biotechnology bets. The company has designed and built a digital pathology scanner, which aims to replace microscopes with its big data, cloud-based and AI-powered insights. The obvious connection and interest here for Intel is on the processor side, but potentially brings Intel into a sphere where it can flex its muscle around a range of AI and cloud computing applications as well. The deal was closed at the beginning of April and totals around $14.2 million.
  • Lilt has built an AI-powered language translation platform, not to compete with the likes of Google Translate for consumers, but to help those with international-facing websites and apps localise their services more efficiently. The company announced its round today: a $25 million Series B led by Intel.
  • MemVerge focuses on “in-memory” computing, an architecture that makes it easier to deploy heavy, data-centric applications. It closed its round of $24.5 million at the beginning of April, and while it’s always worked with Intel processors, Intel’s investment was not public until today.
  • ProPlus Electronics, also out of China, is an electronic design automation (“EDA”) startup that speeds up chip design and fabrication for semiconductor companies manufacturing a variety of chips at scale. It closed its round also at the beginning of April. The exact amount was undisclosed except to note that it was in the “hundreds of millions of Chinese Yuan” (or tens of millions of U.S. dollars).
  • Retrace is an under-the-radar dental data startup that uses AI to improve “dental decision making,” but according to its site seems also to focus on other healthcare areas. It’s not clear how big the round is or when it closed.
  • Spectrum Materials out of China is another stealthy company that supplies gas and other materials to semiconductor makers.
  • Xsight Labs based in Israel is building chipset designs to accelerate data-intensive workloads that you typically get with AI and analytical applications. Israel has a huge R&D centre focused on autonomous driving, one of the applications that’s going to demand a lot in processing power, so this looks like a clearly strategic bet. The company raised $25 million in February, but Intel was not disclosed in that round previously.

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Cisco acquires ultra-low latency networking specialist Exablaze

Cisco today announced that it has acquired Exablaze, an Australia-based company that designs and builds advanced networking gear based on field programmable gate arrays (FPGAs). The company focuses on solutions for businesses that need ultra-low latency networking, with a special emphasis on high-frequency trading. Cisco plans to integrate Exablaze’s technology into its own product portfolio.

“By adding Exablaze’s segment leading ultra-low latency devices and FPGA-based applications to our portfolio, financial and HFT customers will be better positioned to achieve their business objectives and deliver on their customer value proposition,” writes Cisco’s head of corporate development Rob Salvagno.

Founded in 2013, Exablaze has offices in Sydney, New York, London and Shanghai. While financial trading is an obvious application for its solutions, the company also notes that it has users in the big data analytics, high-performance computing and telecom space.

Cisco plans to add Exablaze to its Nexus portfolio of data center switches. The company also argues that in addition to integrating Exablaze’s current portfolio, the two companies will work on next-generation switches, with an emphasis on creating opportunities for expanding its solutions into AI and ML segments.

“The acquisition will bring together Cisco’s global reach, extensive sales and support teams, and broad technology and manufacturing base, with Exablaze’s cutting-edge low-latency networking, layer 1 switching, timing and time synchronization technologies, and low-latency FPGA expertise,” explains Exablaze co-founder and chairman Greg Robinson.

Cisco, which has always been quite acquisitive, has now made six acquisitions this year. Most of these were software companies, but with Acacia Communications, it also recently announced its intention to acquire another fabless semiconductor company that builds optical interconnects.

 

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Y Combinator-backed Holy Grail is using machine learning to build better batteries

For a long, long time, renewable energy proponents have considered advancements in battery technology to be the Holy Grail of the industry.

Advancements in energy storage has been among the hardest to achieve economically, thanks to the incredibly tricky chemistry that’s involved in storing power.

Now, one company that’s launching from Y Combinator believes it has found the key to making batteries better. The company is called Holy Grail and it’s launching in the accelerator’s latest cohort.

With an executive team that initially included Nuno Pereira, David Pervan and Martin Hansen, Holy Grail is trying to bring the techniques of the fabless semiconductor industry to the world of batteries.

The company’s founders believe that the only way to improve battery functionality is to take a systems approach to understanding how different anodes and cathodes will work together. It sounds simple, but Pereira says the computational power hadn’t existed to take into account all of the variables that go along with introducing a new chemical to the battery mix.

“You can’t fix a battery with just a component,” Pereira says. “All of the batteries that were created and failed in the past. They create an anode, but they don’t have a chemical that works with the cathode or the electrolyte.”

For Pereira, the creation of Holy Grail is the latest step on a long road of experimentation with mechanical and chemical engineering. “As a kid I was more interested in mechanical engineering and building stuff,” he says. But as he began tinkering with cars and became fascinated with mobility, he realized that batteries were the innovation that gave the world its charge.

In 2017 Pereira founded a company called 10Xbattery, which was making high-density lithium batteries. That company, launching with what Pereira saw as a better chemistry, encapsulated the industry’s problem at large — the lack of a holistic approach to development.

So, with the help of a now-departed co-founder, Pereira founded Holy Grail. “He essentially told me, ‘Do you want to take a step back and see if there’s a better way to do this?’ ” said Pereira.

The company pitches itself as science fiction coming from the future, but it relies on a combination of what are now fairly standard (at least in the research community) tools. Holy Grail’s pitch is that it can automate much of the research and development process to create new batteries that are optimized to the specifications of end customers.

“It’s hard for a human to do the experiments that you need and to analyze multidimensional data,” says Pereira. “There are some companies that only do the machine-learning part and the computational science part and sell the results to companies. The problem is that there’s a disconnection between experimental reality and the simulations.”

Using computer modeling, chemical engineering and automated manufacturing, Holy Grail pitches a system that can get real test batteries into the hands of end customers in the mobility, electronics and utility industries orders of magnitude more quickly than traditional research and development shops.

Currently the system that Holy Grail has built out can make 700 batteries per day. The company intends to  build a pilot plant that will make batteries for electronics and drones. For automotive and energy companies, Holy Grail says it will partner with existing battery manufacturers that can support the kind of high-throughput manufacturing big orders will require.

Think of it like bringing the fabless chip design technologies and business models to the battery industry, says Pereira.

Holy Grail already has $14 million in letters of intent with potential customers, according to Pereira, and is expecting to close additional financing as it exits Y Combinator.

To date the company has been backed by the London-based early-stage investment firm Deep Science Ventures, where Pereira worked as an entrepreneur in residence.

Ultimately, the company sees its technology being applied far beyond batteries as a new platform for materials science discoveries broadly. For now, though, the focus is on batteries.

“For the low volume we sell direct,” says Pereira. “While on high-volume production, we will implement a pilot line through the system… we are able to do the research engineering with the small ones and test the big ones. In our case when we have a cell that works, it’s not something that works in a lab, it’s something that works in the final cell.”

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CFIUS Cometh: What this obscure agency does and why it matters to your fund or startup

Evan J. Zimmerman
Contributor

Evan J. Zimmerman is an entrepreneur, investor, and writer. He is the Chairman of Jovono and Chairman of the Clinton Health Access Initiative technology council. He is a partner and director in Mighty Mug/Mighty Products, Inc, and chairman of Brush Up Club, an innovative oral health company.

On January 12, 2016, Grindr announced it had sold a 60% controlling stake in the company to Beijing Kunlun Tech, a Chinese gaming firm, valuing the company at $155 million. Champagne bottles were surely popped at the small-ish firm.

Though not at a unicorn-level valuation, the 9-figure exit was still respectable and signaled a bright future for the gay hookup app. Indeed, two years later, Kunlun bought the rest of the firm at more than double the valuation and was planning a public offering for Grindr.

On March 27, 2019, it all fell apart. Kunlun was putting Grindr up for sale instead.

What went wrong? It wasn’t that Grindr’s business ground to a halt. By all accounts, its business seems to actually be growing. The problem was that Kunlun owning Grindr was viewed as a threat to national security. Consequently, CFIUS, or the Committee for Foreign Investment in the United States, stepped in to block the transaction.

So what changed? CFIUS was expanded by FIRRMA, or the Foreign Risk Review Modernization Act, in late 2018, which gave it massive new power and scale. Unlike before, FIRRMA gave CFIUS a technology focus. So now CFIUS isn’t just an American problem—it’s an American tech problem. And in the coming years, it will transform venture capital, Chinese involvement in US tech, and maybe even startups as we know it.

Here’s a closer look at how it all fits together.

What is CFIUS?

Image via Getty Images / Busà Photography

CFIUS is the most important agency you’ve never heard of, and until recently it wasn’t even more than a committee. In essence, CFIUS has the ability to stop foreign entities, called “covered entities,” from acquiring companies when it could adversely affect national security—a “covered transaction.”

Once a filing is made, CFIUS investigates the transaction and both parties, which can take over a month in its first pass. From there, the company and CFIUS enter a negotiation to see if they can resolve any issues.

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Canoo, the electric vehicle startup formed from Faraday Future’s ashes, seeks $200 million

Less than a month after rebranding as Canoo, the startup electric vehicle company formerly known as Evelozcity is on the hunt for $200 million in new capital.

The startup, which is backed by a clutch of private individuals and family offices hailing from China, Germany and Taiwan, is hoping to line up the new capital from some more recognizable names as it finalizes supply deals with vendors, according to a person with knowledge of the company’s plans.

Canoo is locking in final contracts with its vendors and is going to be in production with prototypes before the end of the year. The company, which will make its vehicles available through a subscription-based model, already has 400 employees and just announced new key hires along with its rebranding.

It’s a quick ramp for a company that only two years ago was struggling to extricate itself from the morass that was Faraday Future.

Canoo began life as Evelozcity back in 2017. It was formed after Stefan Krause, a former executive at BMW and Deutsche Bank, and another former BMW executive, Ulrich Kranz, absconded from Faraday Future amid that company’s struggles.

Reportedly, Krause and Kranz left over repeated clashes with Faraday’s founding team of Jia Yueting, the main investor and shareholder, and Chaoying Deng, according to the Verge.

The situation at Evelozcity became so toxic that after the two men left, Jia accused them of “malfeasance and dereliction of duty.”

The company was launched in secret, but news of its existence came to light after Faraday Future filed a lawsuit accusing the new company of the theft of trade secrets.

Now, Canoo is rounding out its executive team and pushing forward with plans to bring prototype vehicles to market by the end of the year.

Olivier Bellin joined the company as its head of operations from STMicroelectronics, a Geneva-based semiconductor company where he served as chief financial officer of the company’s U.S. operations.

Former president of BMW manufacturing Clemens Schmitz-Justen also joined the company as its head of manufacturing — overseeing the contract manufacturing strategy, which will see the company outsource production of vehicles in the U.S. and China.

Canoo said that it intends to use a modular “skateboard” approach to its vehicle design where different form factors can rest atop its chassis. The company touts that its different cabins can be tailored to suit the needs of different customers — ranging from commuter vehicles, public or group transportation, delivery vehicles and private cars.

 

The company is also crafting its user interface and subscription services around its passengers and renters. To that end, Canoo has brought on James Cox, a former Uber executive in charge of product operations for the ride-hailing business’ rider application, who will be developing digital products for the company’s initial customers, according to a March statement.

Initially, Canoo will target customers in Los Angeles and the Bay Area, with additional plans to expand to San Diego and Seattle when the company brings its commercial vehicles to market in 2021.

Canoo plans to use blockchain technology to secure its subscription services and ensure an asset-light approach to development by outsourcing its manufacturing in the U.S. and China, according to one person with knowledge of the company’s plans.

With the development of that subscription model, the car company is taking a page from the playbook other automakers are beginning to toy with. Despite the fact that Cadillac cancelled its Book subscription service late last year, companies like BMW, Volvo and Porsche have all pressed on with their experiments with subscriptions.

As it rolls out its subscription service, Canoo is targeting a lower price point than its competitors for its fully electric and “autonomous-ready” vehicles.

At the end of the day the company believes that there are more than 35 cities around the world that are suitable for its offering.

And now that the lawsuits are over and Faraday Future continues to wobble, it seems that plans for Canoo are gathering steam.

The rebranding effort, and the company’s new name itself, is indicative of its goals.

“We picked Canoo because it sounds distinctive, looks cool and creates a feeling of both relaxation and movement,” said Krause, in a statement. “For thousands of years, a canoe has been a simple, sustainable transportation device used all over the world.”

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Arm acquires data management service Treasure Data to bolster its IoT platform

Arm, the semiconductor firm you probably still remember as ARM, today announced that it has acquired Treasure Data, a data management platform for large enterprise customers. The companies didn’t announce the financial details of the transaction, but earlier reporting by Bloomberg pegged the price at $600 million.

This move strengthens Arm’s IoT nascent play, given that Treasure Data’s specialty is dealing with the large streams of data that these systems produce (as well as data from CRM, e-commerce systems and other third-party services).

This move follows Arm’s recent acquisition of Stream and indeed, the company calls the acquisition of Treasure Data “the final piece” of its “IoT enablement puzzle.” The result of this completed puzzle is the Arm Pelion IoT Platform, which combines Stream, Treasure Data and the existing Arm Mbed Cloud into a single solution for connecting and managing IoT devices and the data they produce.

Arm says Treasure Data will continue to operate as before and continue to serve new clients as well as its existing users. “It will remain an important part of industry IoT enablement, providing the ability to harness new, complex edge and device data within a comprehensive customer profile to personalize their products and improve their experiences,” the company says.

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The formula behind San Francisco’s startup success

Why has San Francisco’s startup scene generated so many hugely valuable companies over the past decade?

That’s the question we asked over the past few weeks while analyzing San Francisco startup funding, exit, and unicorn creation data. After all, it’s not as if founders of Uber, Airbnb, Lyft, Dropbox and Twitter had to get office space within a couple of miles of each other.

We hadn’t thought our data-centric approach would yield a clear recipe for success. San Francisco private and newly public unicorns are a diverse bunch, numbering more than 30, in areas ranging from ridesharing to online lending. Surely the path to billion-plus valuations would be equally varied.

But surprisingly, many of their secrets to success seem formulaic. The most valuable San Francisco companies to arise in the era of the smartphone have a number of shared traits, including a willingness and ability to post massive, sustained losses; high-powered investors; and a preponderance of easy-to-explain business models.

No, it’s not a recipe that’s likely replicable without talent, drive, connections and timing. But if you’ve got those ingredients, following the principles below might provide a good shot at unicorn status.

First you conquer, then you earn

Losing money is not a bug. It’s a feature.

First, lose money until you’ve left your rivals in the dust. This is the most important rule. It is the collective glue that holds the narratives of San Francisco startup success stories together. And while companies in other places have thrived with the same practice, arguably San Franciscans do it best.

It’s no secret that a majority of the most valuable internet and technology companies citywide lose gobs of money or post tiny profits relative to valuations. Uber, called the world’s most valuable startup, reportedly lost $4.5 billion last year. Dropbox lost more than $100 million after losing more than $200 million the year before and more than $300 million the year before that. Even Airbnb, whose model of taking a share of homestay revenues sounds like an easy recipe for returns, took nine years to post its first annual profit.

Not making money can be the ultimate competitive advantage, if you can afford it.

Industry stalwarts lose money, too. Salesforce, with a market cap of $88 billion, has posted losses for the vast majority of its operating history. Square, valued at nearly $20 billion, has never been profitable on a GAAP basis. DocuSign, the 15-year-old newly public company that dominates the e-signature space, lost more than $50 million in its last fiscal year (and more than $100 million in each of the two preceding years). Of course, these companies, like their unicorn brethren, invest heavily in growing revenues, attracting investors who value this approach.

We could go on. But the basic takeaway is this: Losing money is not a bug. It’s a feature. One might even argue that entrepreneurs in metro areas with a more fiscally restrained investment culture are missing out.

What’s also noteworthy is the propensity of so many city startups to wreak havoc on existing, profitable industries without generating big profits themselves. Craigslist, a San Francisco nonprofit, may have started the trend in the 1990s by blowing up the newspaper classified business. Today, Uber and Lyft have decimated the value of taxi medallions.

Not making money can be the ultimate competitive advantage, if you can afford it, as it prevents others from entering the space or catching up as your startup gobbles up greater and greater market share. Then, when rivals are out of the picture, it’s possible to raise prices and start focusing on operating in the black.

Raise money from investors who’ve done this before

You can’t lose money on your own. And you can’t lose any old money, either. To succeed as a San Francisco unicorn, it helps to lose money provided by one of a short list of prestigious investors who have previously backed valuable, unprofitable Northern California startups.

It’s not a mysterious list. Most of the names are well-known venture and seed investors who’ve been actively investing in local startups for many years and commonly feature on rankings like the Midas List. We’ve put together a few names here.

You might wonder why it’s so much better to lose money provided by Sequoia Capital than, say, a lower-profile but still wealthy investor. We could speculate that the following factors are at play: a firm’s reputation for selecting winning startups, a willingness of later investors to follow these VCs at higher valuations and these firms’ skill in shepherding portfolio companies through rapid growth cycles to an eventual exit.

Whatever the exact connection, the data speaks for itself. The vast majority of San Francisco’s most valuable private and recently public internet and technology companies have backing from investors on the short list, commonly beginning with early-stage rounds.

Pick a business model that relatives understand

Generally speaking, you don’t need to know a lot about semiconductor technology or networking infrastructure to explain what a high-valuation San Francisco company does. Instead, it’s more along the lines of: “They have an app for getting rides from strangers,” or “They have an app for renting rooms in your house to strangers.” It may sound strange at first, but pretty soon it’s something everyone seems to be doing.

It’s not a recipe that’s likely replicable without talent, drive, connections and timing. 

list of 32 San Francisco-based unicorns and near-unicorns is populated mostly with companies that have widely understood brands, including Pinterest, Instacart and Slack, along with Uber, Lyft and Airbnb. While there are some lesser-known enterprise software names, they’re not among the largest investment recipients.

Part of the consumer-facing, high brand recognition qualities of San Francisco startups may be tied to the decision to locate in an urban center. If you were planning to manufacture semiconductor components, for instance, you would probably set up headquarters in a less space-constrained suburban setting.

Reading between the lines of red ink

While it can be frustrating to watch a company lurch from quarter to quarter without a profit in sight, there is ample evidence the approach can be wildly successful over time.

Seattle’s Amazon is probably the poster child for this strategy. Jeff Bezos, recently declared the world’s richest man, led the company for more than a decade before reporting the first annual profit.

These days, San Francisco seems to be ground central for this company-building technique. While it’s certainly not necessary to locate here, it does seem to be the single urban location most closely associated with massively scalable, money-losing consumer-facing startups.

Perhaps it’s just one of those things that after a while becomes status quo. If you want to be a movie star, you go to Hollywood. And if you want to make it on Wall Street, you go to Wall Street. Likewise, if you want to make it by launching an industry-altering business with a good shot at a multi-billion-dollar valuation, all while losing eye-popping sums of money, then you go to San Francisco.

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