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Unagi expands e-scooter subscriptions with $10.5M in new funding

Unagi, the startup behind the portable, design-centric electric scooters, is launching its subscription service to six more U.S. cities in an expansion fueled by $10.5 million in funding.

The startup, launched in late 2018 by former Beats Music CEO and MOG co-founder David Hyman, said Wednesday it is bringing its subscription service to Austin, Miami, Nashville, Phoenix, San Francisco and Seattle. Unagi will also be expanding its service in the New York and LA metropolitan regions, including all five NYC boroughs, Long Island, Westchester and Northern New Jersey, as well as the Westside and Southeast LA, the San Fernando Valley and Orange County. 

All together, these areas represent a market of about 30 million potential consumers. The Series A funding round is led by the Ecosystem Integrity Fund with participation from Menlo Ventures, Broadway Angels and Gaingels, among others. 

The expansion comes just six months after the commercial scooter company piloted its “All-Access” subscription service in New York City and Los Angeles.

Unagi might not be the only scooter company to ever offer a subscription service. It is quickly becoming the best known and the one with the biggest reach in the United States. Bird launched a similar offering in 2019, but has gone quiet about it.

Dubbed by TechCrunch as the “iPhone of scooters” a couple of years ago, Unagi is offering its Model One electric scooter with a dual motor for $49 per month. The aim is to make the scooters accessible to a wider populace that might not want to shell out the $990 to own one outright. Sales of the sleek, sturdy and incredibly lightweight scooters have skewed heavily toward men over 35 years of age, according to Hyman. Unagi’s subscription service, on the other hand, caters more toward the millennial yuppie who likes nice things but doesn’t like commitment. 

“Our market is purely urban, and our internal corporate mantra is: If you can’t carry our scooter up a three-story walk-up, then it’s not something we want to do,” Hyman told TechCrunch. “I think there’s a generation of consumers that prefer access over ownership and don’t want the responsibility and the maintenance concerns.”

This is the same generation that grew up on kick scooters and thus intuitively know how to ride the scooters they’re seeing on the street, which partially explains some of the mighty success e-scooters have seen in recent years, said Hyman.

The global electric scooter market is expected to grow around 8% per year over the next decade, reaching $42 billion by 2030. Based on research conducted by Unagi and Berkeley Haas School of Business, Hyman predicts sharing will account for a third of the total e-scooter market, with ownership and subscription taking up the remainder. He said the subscription model is more attractive than the shared model because it doesn’t entail hunting for an available scooter, or wondering if the last rider coughed Rona germs all over it once you do find it. 

Unagi’s pitch is to create a hassle-free experience with upfront pricing and the ability to cancel a subscription anytime. The monthly fee covers the cost of maintenance and insurance for lost, stolen or damaged scooters. There are some stipulations though. Customers have to pay a $50 set-up fee. 

Hyman said he thinks it’ll take some time for the subscription model to ramp up, but once it does, it will be Unagi’s primary revenue driver. From 2019 to 2020, Unagi grew 450% with demand for subscription scooters in the pilot cities going “off the charts,” according to Hyman, but he declined to provide numbers for scaling those charts. 

“I actually think the pandemic only hurt us because one of the primary use cases for our product is commuting,” said Hyman in response to a query about an eventual plateau of e-scooter craze if a vaccinated populace gets back to its regular commuting styles. 

“In a city, the vast majority of people’s rides are under three miles, and having a portable electric scooter just kills everything,” he said. “It’s so much easier to carry around and you don’t have to worry about locking it up outside, don’t have to worry about theft or carrying it up to your apartment or on the subways.”

The scooters weigh about 26 pounds and can balance on either wheel when folded. On a single charge, they can take you eight to 15 miles, depending on your weight and whether you’re cruising on one motor or blasting past the clunky rideshare scooters with both motors. 

The subscription model here works well alongside e-scooter sales because it allows for scooters to be repurposed. Subscribers aren’t guaranteed new scooters. They’re more likely to get one that’s certified pre-owned. And because Unagi is committed to building with high-end materials, the company says regular maintenance keeps scooters alive for an expected three to five years. 

Hyman, who has a track record of creating subscription business models, like the MOG music subscription that eventually turned into Apple Music, has personal reasons for offering hardware-as-a-service in the form of electric scooters. He lived in Amsterdam for three years, where biking is far more commonplace than driving. 

“Considering how many commutes are under three miles, the fact that there are so many cars in cities is ridiculous,” said Hyman. “We are hell-bent on getting cars out of cities.”

Update: The article previously stated that Unagi required a three-month subscription. The company has decided to end that requirement.


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OctoML raises $28M Series B for its machine learning acceleration platform

OctoML, a Seattle-based startup that offers a machine learning acceleration platform built on top of the open-source Apache TVM compiler framework project, today announced that it has raised a $28 million Series B funding round led by Addition. Previous investors Madrona Venture Group and Amplify Partners also participated in this round, which brings the company’s total funding to $47 million. The company last raised in April 2020, when it announced its $15 million Series A round led by Amplify

The promise of OctoML, which was founded by the team that also created TVM, is that developers can bring their models to its platform and the service will automatically optimize that model’s performance for any given cloud or edge device.

As Brazil-born OctoML co-founder and CEO Luis Ceze told me, since raising its Series A round, the company started onboarding some early adopters to its “Octomizer” SaaS platform.

Image Credits: OctoML

“It’s still in early access, but we are we have close to 1,000 early access sign-ups on the waitlist,” Ceze said. “That was a pretty strong signal for us to end up taking this [funding]. The Series B was pre-emptive. We were planning on starting to raise money right about now. We had barely started spending our Series A money — we still had a lot of that left. But since we saw this growth and we had more paying customers than we anticipated, there were a lot of signals like, ‘hey, now we can accelerate the go-to-market machinery, build a customer success team and continue expanding the engineering team to build new features.’ ”

Ceze tells me that the team also saw strong growth signals in the overall community around the TVM project (with about 1,000 people attending its virtual conference last year). As for its customer base (and companies on its waitlist), Ceze says it represents a wide range of verticals that range from defense contractors to financial services and life science companies, automotive firms and startups in a variety of fields.

Recently, OctoML also launched support for the Apple M1 chip — and saw very good performance from that.

The company has also formed partnerships with industry heavyweights like Microsoft (which is also a customer), Qualcomm and AMD to build out the open-source components and optimize its service for an even wider range of models (and larger ones, too).

On the engineering side, Ceze tells me that the team is looking at not just optimizing and tuning models but also the training process. Training ML models can quickly become costly and any service that can speed up that process leads to direct savings for its users — which in turn makes OctoML an easier sell. The plan here, Ceze tells me, is to offer an end-to-end solution where people can optimize their ML training and the resulting models and then push their models out to their preferred platform. Right now, its users still have to take the artifact that the Octomizer creates and deploy that themselves, but deployment support is on OctoML’s roadmap.

“When we first met Luis and the OctoML team, we knew they were poised to transform the way ML teams deploy their machine learning models,” said Lee Fixel, founder of Addition. “They have the vision, the talent and the technology to drive ML transformation across every major enterprise. They launched Octomizer six months ago and it’s already becoming the go-to solution developers and data scientists use to maximize ML model performance. We look forward to supporting the company’s continued growth.”


Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE at checkout to get 20% off tickets right here.

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New Relic expands its AIOps services

In recent years, the publicly traded observability service New Relic started adding more machine learning-based tools to its platform for AI-assisted incident response when things don’t quite go as planned. Today, it is expanding this feature set with the launch of a number of new capabilities for what it calls its “New Relic Applied Intelligence Service.”

This expansion includes an anomaly detection service that is even available for free users, the ability to group alerts from multiple tools when the models think it’s a single issue that is triggering all of these alerts and new ML-based root cause analysis to help eliminate some of the guesswork when problems occur. Also new (and in public beta) is New Relic’s ability to detect patterns and outliers in log data that is stored in the company’s data platform.

The main idea here, New Relic’s director of product marketing Michael Olson told me, is to make it easier for companies of all sizes to reap the benefits of AI-enhanced ops.

Image Credits: New Relic

“It’s been about a year since we introduced our first set of AIops capabilities with New Relic Applied Intelligence to the market,” he said. “During that time, we’ve seen significant growth in adoption of AIops capabilities through New Relic. But one of the things that we’ve heard from organizations that have yet to foray into adopting AIops capabilities as part of their incident response practice is that they often find that things like steep learning curves and long implementation and training times — and sometimes lack of confidence, or knowledge of AI and machine learning — often stand in the way.”

The new platform should be able to detect emerging problems in real time — without the team having to pre-configure alerts. And when it does so, it’ll smartly group all of the alerts from New Relic and other tools together to cut down on the alert noise and let engineers focus on the incident.

“Instead of an alert storm when a problem occurs across multiple tools, engineers get one actionable issue with alerts automatically grouped based on things like time and frequency, based on the context that they can read in the alert messages. And then now with this launch, we’re also able to look at relationship data across your systems to intelligently group and correlate alerts,” Olson explained.

Image Credits: New Relic

Maybe the highlight for the ops teams that will use these new features, though, is New Relic’s ability to pinpoint the probable root cause of a problem. As Guy Fighel, the general manager of applied intelligence and vice president of product engineering at New Relic, told me, the idea here is not to replace humans but to augment teams.

“We provide a non-black-box experience for teams to craft the decisions and correlation and logic based on their own knowledge and infuse the system with their own knowledge,” Fighel noted. “So you can get very specific based on your environment and needs. And so because of that and because we see a lot of data coming from different tools — all going into New Relic One as the data platform — our probable root cause is very accurate. Having said that, it is still a probable root cause. So although we are opinionated about it, we will never tell you, ‘hey, go fix that, because we’re 100% sure that’s the case.’ You’re the human, you’re in control.”

The AI system also asks users for feedback, so that the model gets refined with every new incident, too.

Fighel tells me that New Relic’s tools rely on a variety of statistical analysis methods and machine learning models. Some of those are unique to individual users while others are used across the company’s user base. He also stressed that all of the engineers who worked on this project have a background in site reliability engineering — so they are intimately familiar with the problems in this space.

With today’s launch, New Relic is also adding a new integration with PagerDuty and other incident management tools so that the state of a given issue can be synchronized bi-directionally between them.

“We want to meet our customers where they are and really be data source agnostic and enable customers to pull in data from any source, where we can then enrich that data, reduce noise and ultimately help our customers solve problems faster,” said Olson.


Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE at checkout to get 20% off tickets right here.

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Incredibuild gets $140M to speed up games and other software development with distributed processing tech

Many of us are working in distributed environments these days, and in the best scenarios, it might actually have improved rather than impeded our productivity. Today, a company that has built technology that taps into that concept as it applies to computing is announcing a large round of funding to boost its growth after a strong year of business.

Incredibuild, an Israeli startup that provides a way for organizations to implement distributed computing architecture to speed up the processing needed for intensive tasks like software development by tapping into a company’s network of idle CPUs, has picked up $140 million in funding.

“Startup” might be overstating what Incredibuild is: Yes, it’s a privately backed tech company, but it has been around since 2000, and although it counts substantial companies like gaming giants Epic (the company behind Fortnite), Microsoft and Nintendo, as well as Amazon, Citibank, Adobe, Disney, Intel and Samsung among its 800 customers, it’s been somewhat quiet and under the radar.

The company will be using the funding to continue building out its technology and its business model to apply to a wider range of enterprises and use cases.

CEO Tami Mazel Shachar said in an interview that the key concept that Incredibuild created was an efficient way of tapping CPU power in a network of computers regardless of whether they are on-premises or in the cloud. That technology is priced on a per-use basis, but implementing it, Shachar said, brings down a company’s overall computing and equipment costs, and can speed up builds by 8X.

As you can see here, Incredibuild is not available to punters in easy-to-understand tiers: you need to get in touch with the company to sign up. The plan will be to devise and list new pricing tiers, including a freemium tier to bring in more and smaller developer teams.

This round of financing is the first substantial outside investment made in the company since it was picked up by private equity firm Fortissimo in 2018. It comes from a single backer, Insight Partners, and represents a partial spinning out of the business, effectively back into startup mode. From what we understand, Incredibuild was already generating a lot of cash — hence no big fundraising history — and while it is not disclosing its valuation now, we understand from reliable sources that it is between $300 million and $400 million.

Incredibuild was started by two engineers, Uri Mishol and Uri Shaham, who first thought of the concept of speeding up software development processing through a distributed model when they were still in the Israeli army, working in the special forces and finding the processing times for their work to be much too slow, even on the most advanced machines (both are no longer actively involved in the company, although both support it, Shachar said).

The company found early traction with games companies, whose heavy use of media required lots of code processing; longer-term, other companies that deal with graphics, AR, VR, artificial intelligence and other work-intensive loads came to the company as well.

Of course, there are a number of other solutions being built to speed up workloads, from improving processors on devices, through to other DevOps and workload plays such as CircleCI, CloudBees and many more. Nor is distributed computing a new concept: it’s the basis of a lot of peer-to-peer architectures such as those devised early on by the likes of BitTorrent, and it’s equally something that has been taken up by the blockchain community.

Interestingly, Shachar told me that Incredibuild itself does not own any patents on what it has built.

“The barriers are in the technology itself,” she said. “At the end of the day, the IP is in how good we do what we do. It would take many years to try to copy what we have built and we are building on those hooks more now.” It’s also adding in more integrations to improve and expand on all of the use cases for its technology.

For now, the basic idea is predicated on networks of computers that are idle within a specific team of users, and there are no plans for bringing that concept into a wider network of users as you might find in P2P networking models. The privacy issues, for one thing, are a non-starter, Shachar noted.

But, she hinted that there are some concepts in the works to improve processing power using its technology for some of its current partners’ customers. It’s interesting to remember that Microsoft, owner of Azure, and Amazon, owner of AWS, are both in Incredibuild’s client list. Watch this space.

Insight is notable for its other investments in DevOps — its portfolio includes both containerization leader Docker and JFrog — and so it will also be interesting to see whether we see more alignment with these.

“We firmly believe that Incredibuild has built a crucial technology for any business that wants to develop better software, radically faster,” said Teddie Wardi, managing director at Insight Partners, in a statement. “With our long history of investing in the development ecosystem, we are confident that Incredibuild will continue to innovate and build upon their recent momentum.”  Both Wardi and managing director Lonne Jaffe, as well as senior associate Brad Fiedler, are joining Incredibuild’s board.

Fortissimo is staying on as a shareholder in the company.

“Fortissimo bought Incredibuild in 2018 with belief in the enormous potential of distributed processing,” said Yoav Hineman, Partner at Fortissimo Capital and board member of Incredibuild, in a statement. “The investment by Insight Partners is a great milestone in delivering unparalleled acceleration for software developers.”


Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE at checkout to get 20% off tickets right here.

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Norrsken Foundation is closing on an oversubscribed impact venture fund at €125 million

About four years ago, social impact organization Norrsken Foundation launched a small program investing around €30 million in capital it had received from its wealthy patron, Klarna co-founder Niklas Adalberth.

Now, that initiative has become its own impact investment firm, Norrsken VC and, according to people familiar with the firm, is about to close on its first independent investment vehicle — a €125 million ($149) fund focused on investing in startups that are, as its website suggests, “solving the world’s biggest problems.”

Norrsken VC did not respond for a request for comment about the firm’s fundraising plans.

Already, the young firm has invested in companies that would be standouts among any venture capital portfolio. Norrsken VC is one of the early backers behind Northvolt, which just received a $14 billion order for its batteries for electric vehicles from Volkswagen.

Electrification is actually a big theme for the early-stage firm, which counts the electric plane technology developer, Heart Aerospace, and autonomous electric vehicle developer Einride, and the battery monitoring and data management startup, Nortical, among its other portfolio companies.

Einride scored another huge coup recently. TechCrunch reported that the company was close to closing on $75 million in new funding even as it explored a potential SPAC for its business.

Indeed, Norrsken Foundation’s work in investing presaged a surge in climate and sustainability-focused activity from both venture investors, public markets and entrepreneurs looking at how to aid in the transition from fossil fuels to renewable resources and other zero carbon sources of energy.

That thesis on energy consumption extends to other areas of the firm’s portfolio, including companies like the energy efficient data center designer and technology developer, Submer.

If electrification and efficiency are one area of focus in the climate fight, Norrsken has also made moves to combat waste and improve efficiency in the food chain, as well. It’s probably the largest area of focus for the firm’s current portfolio outside of electrification, and there appear to be some early winners emerging in that category.

Those range from startups focused on agriculture like WeFarm and Ignitia, to consumer waste in the food industry through investments in Olio, Matsmart and Whywaste.

Taken together the climate and sustainability thesis has been the largest and most opportune investment target, but healthcare and wellness are also within the firm’s investment mandate. Startups like Winningtemp are an interesting indication of the firm’s thesis. That startup provides ways to monitor and support employees’ mental health.


Early Stage is the premier “how-to” event for startup entrepreneurs and investors. You’ll hear firsthand how some of the most successful founders and VCs build their businesses, raise money and manage their portfolios. We’ll cover every aspect of company building: Fundraising, recruiting, sales, product-market fit, PR, marketing and brand building. Each session also has audience participation built-in — there’s ample time included for audience questions and discussion. Use code “TCARTICLE at checkout to get 20% off tickets right here.

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Daily Crunch: Google Play halves commission on developers’ first $1M

Google is letting developers keep more of their Play revenue, Instagram adds teen safety features and we examine the global distribution of venture funding. This is your Daily Crunch for March 16, 2021.

The big story: Google Play halves commission on first $1M

Following a similar move by Apple last year, Google said that it will be reducing its fee from 30% to 15% for the first $1 million that developers earn through Google Play annually.

This is slightly different from Apple’s approach, in that it applies to all developers — although the fee goes back to 30% for any money earned beyond that first million dollars.

“We’ve heard from our partners making $2 million, $5 million and even $10 million a year that their services are still on a path to self-sustaining orbit,” wrote Google’s Sameer Samat. “This is why we are making this reduced fee on the first $1 million of total revenue earned each year available to every Play developer that uses the Play billing system, regardless of size.”

The tech giants

Instagram adds new teen safety tools as competition with TikTok heats up — Instagram says it’s rolling out new safety features that will restrict adult users from being able to contact teens who didn’t already follow them.

Google’s Soli radar returns to track sleep on the new Nest Hub — We haven’t heard a peep from Project Soli since the technology was introduced with the Pixel in late-2019.

China wants to dismantle Alibaba’s media empire: reports — Over the years, Jack Ma has accumulated a media portfolio in China that rivals that of Jeff Bezos in the United States.

Startups, funding and venture capital

Socure raises $100M at $1.3B valuation, proving identity verification is hotter than ever — Socure uses AI and machine learning to verify identities.

Overwolf raises $52.5M for its platform to build, distribute and monetize in-game, user-generated content — The company’s platform has some 30,000 creators, 90,000 mods and add-ons, and 18 million monthly users across thousands of games.

Aiming to become the definitive source for location data, SafeGraph raises $45M — While there are plenty of companies selling data about physical locations, SafeGraph CEO Auren Hoffman said his startup is “one of the few companies to sell this data to data science teams.”

Advice and analysis from Extra Crunch

The global inequity in venture financing is staggering — There’s been a boom in Latin American and European fintechs, as well as a general rise in VC activity in a host of Asian countries, but the landscape remains imbalanced.

The NFT market is just getting started, but where is it headed? — Part one in a three-part series.

Farmland could be the next big asset class modernized by marketplace startups — Startups like AcreTrader and others including Tillable, FarmTogether and Harvest Returns are bringing marketplace models to the farming world.

(Extra Crunch is our membership program, which helps founders and startup teams get ahead. You can sign up here.)

Everything else

Ford expands robotics research into $75 million University of Michigan facility — Ford Motor Company will be embedding 100 of its researchers and engineers in a new robotics and mobility facility on the University of Michigan’s Ann Arbor campus.

Talking product-market fit with Sean Lane, whose company tore through 28 products to become a unicorn — Occasionally, it’s easy for startups to achieve so-called product-market fit, but more often, it’s a struggle.

Get feedback on your pitch deck from tech leaders on Extra Crunch Live — The importance of the pitch deck can’t be underestimated.

The Daily Crunch is TechCrunch’s roundup of our biggest and most important stories. If you’d like to get this delivered to your inbox every day at around 3pm Pacific, you can subscribe here.

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A crypto company’s journey to Data 3.0

Data is a gold mine for a company.

If managed well, it provides the clarity and insights that lead to better decision-making at scale, in addition to an important tool to hold everyone accountable.

However, most companies are stuck in Data 1.0, which means they are leveraging data as a manual and reactive service. Some have started moving to Data 2.0, which employs simple automation to improve team productivity. The complexity of crypto data has opened up new opportunities in data, namely to move to the new frontier of Data 3.0, where you can scale value creation through systematic intelligence and automation. This is our journey to Data 3.0.

The complexity of crypto data has opened up new opportunities in data, namely to move to the new frontier of Data 3.0, where you can scale value creation through systematic intelligence and automation.

Coinbase is neither a finance company nor a tech company — it’s a crypto company. This distinction has big implications for how we work with data. As a crypto company, we work with three major types of data (instead of the usual one or two types of data), each of which is complex and varied:

  1. Blockchain: decentralized and publicly available.
  2. Product: large and real-time.
  3. Financial: high-precision and subject to many financial/legal/compliance regulations.

Image Credits: Michael Li/Coinbase

Our focus has been on how we can scale value creation by making this varied data work together, eliminating data silos, solving issues before they start and creating opportunities for Coinbase that wouldn’t exist otherwise.

Having worked at tech companies like LinkedIn and eBay, and also those in the finance sector, including Capital One, I’ve observed firsthand the evolution from Data 1.0 to Data 3.0. In Data 1.0, data is seen as a reactive function providing ad-hoc manual services or firefighting in urgent situations.

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Squarespace raises $300M at a staggering $10B valuation

Squarespace has raised $300 million in a round of funding that values the company at a staggering $10 billion valuation.

New backers include Dragoneer, Tiger Global, D1 Capital Partners, Fidelity Management & Research Company, funds and accounts advised by T. Rowe Price Associates, Inc. and Spruce House. Existing backers Accel and General Atlantic also participated. 

Squarespace founder & CEO Anthony Casalena said the fresh capital will advance the company’s growth initiatives and help it scale its product suite.

The move comes less than two months after the company filed confidentiality to go public via a direct listing or initial public offering.

Squarespace, which has helped millions create their own websites, was founded in 2003 and bootstrapped until a $38.5 million Series A in 2010 that was co-led by Accel and Index Ventures.

The online website creation and hosting service — which has now expanded into e-commerce by hosting online stores — then raised another $40 million round in 2014. But it is perhaps best known for its epic 2017-era $200 million secondary round that General Atlantic financed. That round was raised at a $1.5 billion pre-money valuation. That means it has effectively upped its valuation by more than five times in just over three years.

At that time, TechCrunch reported that Squarespace was a profitable company, with revenues increasing 50% in the prior year, to about $300 million. Execs are declining to comment on the company’s latest funding round beyond a post on its website.

New York City-based Squarespace has over 1,200 employees spread across its headquarters and offices in Dublin, Ireland; Portland, Oregon; and Los Angeles, California. 

 

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Three energy-innovation takeaways from Texas’ deep freeze

Individual solutions to the collective crisis of climate change abound: backup diesel generators, Tesla powerwalls, “prepper” shelters. However, the infrastructure that our modern civilization relies on is interconnected and interdependent — energy, transportation, food, water and waste systems are all vulnerable in climate-driven emergencies. No one solution alone and in isolation will be the salvation to our energy infrastructure crisis.

No one solution alone and in isolation will be the salvation to our energy infrastructure crisis.

After Hurricane Katrina in 2005, Superstorm Sandy in 2012, the California wildfires last year and the recent deep freeze in Texas, the majority of the American public has not only realized how vulnerable infrastructure is, but also how critical it is to properly regulate it and invest in its resilience.

What is needed now is a mindset shift in how we think about infrastructure. Specifically, how we price risk, how we value maintenance and how we make policy that is aligned with our climate reality. The extreme cold weather in Texas wreaked havoc on electric and gas infrastructure that was not prepared for unusually cold weather events. If we continue to operate without an urgent (bipartisan?) investment in infrastructure, especially as extreme weather becomes the norm, this tragic trend will only continue (with frontline communities bearing a disproportionately high burden).

A month after Texas’ record-breaking storm, attention is rightly focused on helping the millions of residents putting their lives back together. But as we look toward the near-term future and get a better picture of the electric mobility tipping point on the horizon, past-due action to reform our nation’s energy infrastructure and utilities must take precedence.

Emphasize energy storage

Seventy-five percent of Texas’ electricity is generated from fossil fuels and uranium, and about 80% of the power outages in Texas were caused by these systems. The state and the U.S. are overly dependent on outdated energy generation, transmission and distribution technologies. As the price of energy storage is expected to drop to $75/kWh by 2030, more emphasis needs to be placed on “demand-side management” and distributed energy resources that support the grid, rather than trying to supplant it. By pooling and aggregating small-scale clean energy generation sources and customer-sited storage, 2021 can be the year that “virtual power plants” realize their full potential.

Policymakers would do well to mandate new incentives and rebates to support new and emerging distributed energy resources installed on the customers’ side of the utility meter, such as California’s Self-Generation Incentive Program.

Invest in workforce development

For the energy transition to succeed, workforce development will need to be a central component. As we shift from coal, oil and gas to clean energy sources, businesses and governments — from the federal to the city level — should invest in retraining workers into well-paying jobs across emerging verticals, like solar, electric vehicles and battery storage. In energy efficiency (the lowest-hanging fruit of the energy transition), cities should seize the opportunity to tie equity-based workforce development programs to real estate energy benchmarking requirements.

These policies will not only boost the efficiency of our energy systems and the viability of our aging building stock, creating a more productive economy, but will also lead to job growth and expertise in a growth industry of the 21st century. According to analysis from Rewiring America, an aggressive national commitment to decarbonization could yield 25 million good-paying jobs over the next 15 years.

Build microgrids for reliability

Microgrids can connect and disconnect from the grid. By operating on normal “blue-sky” operating days as well as during emergencies, microgrids provide uninterrupted power when the grid goes down — and reduce grid constraints and energy costs when grid-connected. Previously the sole domain of military bases and universities, microgrids are growing 15% annually, reaching an $18 billion market in the U.S. by 2022.

For grid resiliency and reliable power supply, there is no better solution than community-scale microgrids that connect critical infrastructure facilities with nearby residential and commercial loads. Funding feasibility studies and audit-grade designs — so that communities have zero-cost but high-quality pathways to constructable projects, as New York State did with the NY Prize initiative — is a proven way to involve communities in their energy planning and engage the private sector in building low-carbon resilient energy systems.

Unpredictability and complexity are quickening, and technology has its place, but not simply as an individual safeguard or false security blanket. Instead, technology should be used to better calculate risk, increase system resilience, improve infrastructure durability and strengthen the bonds between people in a community both during and in between emergencies.

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Socure raises $100M at $1.3B valuation, proving identity verification is hotter than ever

The COVID-19 pandemic has accelerated digital adoption in a way that no one could have ever anticipated, and as more people conduct more services online and via mobile devices, businesses have had to work even harder to validate users and security. One company working to serve that need, Socure — which uses AI and machine learning to verify identities — announced Tuesday that it has raised $100 million in a Series D funding round at a $1.3 billion valuation.

Given how much of our lives have shifted online, it’s no surprise that the U.S. digital identity market is projected to increase to over $30 billion by 2023 from just under $15 billion in 2019, according to One World IdentityThis has led to skyrocketing demand for the services provided by identity verification companies. 

The founding team set out on a mission to be able to verify 100% of “good IDs” in real-time while “completely eliminating” identity fraud across the internet.

Historically, Socure has been focused on the financial services industry, but it plans to use its new capital to further expand into “every consumer-facing vertical” including online gaming, healthcare, telco, e-commerce and on-demand services.

The startup’s predictive analytics platform applies artificial intelligence and machine-learning techniques with online/offline data intelligence (from email, phone, address, IP, device, velocity and the broader internet) to verify that people are, in fact, who they say they are when applying for various accounts.

Today, Socure has more than 350 customers including three top five banks, six top 10 card issuers, a “top” credit bureau and over 75 fintechs such as Varo Money, Public, Chime and Stash.

In 2020, Socure grew its customer base by over 85% year over year and expanded its workforce by over 50% to about 240 people today.

Accel led Socure’s latest financing, which included participation from existing backers Commerce Ventures, Scale Venture Partners, Flint Capital, Citi Ventures, Wells Fargo Strategic Capital, Synchrony, Sorenson, Two Sigma Ventures and others. 

The round comes less than six months after the company raised $35 million in a round led by Sorenson Ventures, and brings the New York-based company’s total raised to $196 million since its 2012 inception.

Socure founder and CEO Johnny Ayers says his company’s identity management products can help B2C enterprises achieve know-your-customer (KYC) auto-approval rates of up to 97%. This means that financial institutions can more easily capture fraud, for example, via Socure’s single API. The company also claims that by more easily verifying thin-file (those without much credit history) and young consumers, it can help reduce the underbanked population.     

The pandemic and resulting shutdowns resulted in a massive demand for trusted digital identity, Ayers believes.

“This growth tracks with a larger trend marked by the broad migration of businesses to accept applications and onboard new customers online, with many companies accelerating their transformation from digital-first to digital-only,” he told TechCrunch.

Overall fraud attempts among Socure’s existing customer base nearly doubled in the second quarter of 2020 — with certain segments seeing rises as high as 150%, according to Ayers.

“These instances did not involve actual fraud but instead were flagged by Socure as suspicious and blocked prior to inflicting damage,” he said.

Looking ahead, the company plans to use its new capital to also enhance its product offering as it continues to develop patents. 

Accel partner Amit Jhawar will join Socure’s board as part of the funding round.

In a blog post, Jhawar described Socure as “a purpose-built solution designed to handle the wave of new online users because its machine learning models have learned from every identity it has already seen.”

As former COO at Braintree and general manager at Venmo, Jhawar knows a thing or two about the importance of identity verification, especially in the financial services space.

He wrote: “I knew immediately that the Socure solution would be a game-changer because the solution can be used in every step of the customer lifecycle, from account creation to login to transaction.”

Socure also has hinted that it has an IPO in its future.

In a written statement, Ayers said: “We are incredibly grateful for the chance to innovate and partner to solve this problem with some of the greatest companies in the world and are energized for the opportunities that lay ahead for Socure, especially as we make our march to a potential IPO.”

Via email, he told TechCrunch that the company will “potentially” look at public markets in 2022 or 2023, when it feels “the time is right for the business.”

The story was updated post-publication with live comments from Socure


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