Tag Archives: Fundings & Exits

Fivetran hauls in $565M on $5.6B valuation, acquires competitor HVR for $700M

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Fivetran, the data connectivity startup, had a big day today. For starters it announced a $565 million investment on $5.6 billion valuation, but it didn’t stop there. It also announced its second acquisition this year, snagging HVR, a data integration competitor that had raised over $50M, for $700 million in cash and stock.

The company last raised a $100 million Series C on a $1.2 billion valuation, increasing the valuation by over 5x. As with that Series C, Andreessen Horowitz was back leading the round with participation from other double dippers General Catalyst, CEAS Investments, Matrix Partners and other unnamed firms or individuals. New investors ICONIQ Capital, D1 Capital Partners and YC Continuity also came along for the ride. The company reports it has now raised $730 million.

The HVR acquisition represents a hefty investment for the startup, grabbing a company for a price that is almost equal to all the money it has raised to date, but it provides a way to expand its market quickly by buying a competitor. Earlier this year Fivetran acquired Teleport Data as it continues to add functionality and customers via acquisition.

“The acquisition — a cash and stock deal valued at $700 million — strengthens Fivetran’s market position as one of the data integration leaders for all industries and all customer types,” the company said in a statement.

Fivetran snares $100M Series C on $1.2B valuation for data connectivity solution

While that may smack of corporate marketing speak, there is some truth to it, as pulling data from multiple sources, sometimes in siloed legacy systems is a huge challenge for companies and both Fivetran and HVR have developed tools to provide the pipes to connect various data sources and put it to work across a business.

Data is central to a number of modern enterprise practices including customer experience management, which takes advantage of customer data to deliver customized experiences based on what you know about them, and data is the main fuel for machine learning models, which use it to understand and learn how a process works. Fivetran and HVR provide the nuts and bolts infrastructure to move the data around to where it’s needed, connecting to various applications like Salesforce, Box or Airtable, databases like Postgres SQL or data repositories like Snowflake or Databricks.

Whether bigger is better remains to be seen, but Fivetran is betting that it will be in this case as it makes its way along the startup journey. The transaction has been approved by both company’s boards. The deal is still subject to standard regulatory approval, but Fivetran is expecting it to close in October


By Ron Miller

Skello raises $47.3 million for its employee scheduling tool

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French startup Skello has raised a $47.3 million funding round (€40 million). The company has been working on a software-as-a-service tool that lets you manage the work schedule of your company. What makes it special is that Skello automatically takes into account local labor laws and collective agreements.

Partech is leading today’s funding round. Existing investors XAnge and Aglaé Ventures are also participating. The startup had previously raised a €300,000 seed round and a €6 million Series A round in 2018.

Skello works with companies across many industries, such as retail, hospitality, pharmacies, bakeries, gyms, escape games and more. And many of them were simply using Microsoft Excel to manage their schedule.

By using Skello, you get an online service that works for both managers and employees. On the manager side, you can view who is working and when. You can assign employees to fill some gaps.

For employees, they can also connect to the platform to see their own schedule. Employees can also say when they are unavailable and request time off. And when something unexpected comes up, employees can trade shifts.

“We really want to put employees at the center of the product,” co-founder and CEO Quitterie Mathelin-Moreaux told me. “They have a mobile app and the idea is to make the work schedule as collaborative as possible in order to allocate resources as efficiently as possible and increase team retention.”

At every step of the scheduling process, Skello manages legal requirements. For instance, Skello remembers mandatory weekly rest periods. The platform knows that your employees can’t work across a long time range. And Skello can count overtime hours, holiday hours, Sunday shifts, etc.

When you’re approaching the end of the month, Skello can generate a report with everyone’s timesheet. You can integrate Skello directly with your payroll tool to make this process a bit less tedious as well.

Skello is currently used across 7,000 points of sale. Now, the company wants to expand to more European countries and increase the size of the team from 150 employees to 300 employees by 2022.


By Romain Dillet

Ledgy is an equity management tool for European startups

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Every startup founder faces the same issue — how do you manage your cap table and equity plans in a transparent and lightweight manner? If you’re based in the U.S., chances are you’re using an equity management solution like Carta. But if you’re not based in the U.S., you don’t have a ton of options.

Ledgy wants to become the ownership management tool for the rest of the world. Based in Switzerland, several well-known European startups are already using Ledgy, such as Wefox, Kry, Bitpanda, Gorillas and Trade Republic.

The company recently closed a $10 million Series A funding round led by Sequoia Capital. Other investors in the round include Xavier Niel, Harry Stebbings, Visionaries Club, UiPath's Daniel Dines and Front's Mathilde Collin. Some of Ledgy’s existing investors also invested once again, such as Myke Näf, Paul Sevinç, btov Partners, Creathor Ventures and VI Partners.

A few years ago, when Ledgy co-founder and CEO Yoko Spirig talked with an entrepreneur, the founder showed her how he managed ownership. He opened an Excel spreadsheet and scrolled, scrolled, scrolled… “Each line represented a share. You can imagine how error-prone it is,” she told me.

While the implementation was odd, most companies in Europe are still using Excel spreadsheets to manage ownership. And Ledgy wants to convince those companies that switching to a software solution that has been specifically designed to solve this issue could be beneficial.

“The key has really been to focus on the software infrastructure. What we do is that we have implemented automation workflows that are adaptable depending on countries,” Spirig said. “We’re not focusing on one regulation and we’re really offering the infrastructure layer,” she added.

That’s why Ledgy already supports 32 countries. It has tweaked its product even more specifically for Germany, Austria and Switzerland. There will be more country-specific releases in the near future for startups based in the U.K. and France. 1,500 companies are using Ledgy right now.

When you switch to Ledgy, there are three main advantages. First, like other software-as-a-service products, Ledgy acts as a single source of truth for all stakeholders — the HR team, the finance team, investors, lawyers and employees.

The second selling point is that you can automate some of the most tedious tasks. For instance, Ledgy can automatically generate documents based on templates and different variables. Signed documents are stored on Ledgy. You can export data every quarter or every year for compliance reasons.

Third, it fosters transparency across the company. Employees can check the value of their options. They can see how much their options could be worth if the leadership team is in the process of raising a new round of funding.

With today’s funding round, Ledgy plans to expand into new markets. The company also plans to roll out support for public companies so that some of its existing customers can go public and keep using Ledgy.


By Romain Dillet

Databricks raises $1.6B at $38B valuation as it blasts past $600M ARR

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Databricks this morning confirmed earlier reports that it was raising new capital at a higher valuation. The data- and AI-focused company has secured a $1.6 billion round at a $38 billion valuation, it said. Bloomberg first reported last week that Databricks was pursuing new capital at that price.

The Series H was led by Counterpoint Global, a Morgan Stanley fund. Other new investors included Baillie Gifford, UC Investments and ClearBridge. A grip of prior investors also kicked in cash to the round.

The new funding brings Databricks’ total private funding raised to $3.5 billion. Notably, its latest raise comes just seven months after the late-stage startup raised $1 billion on a $28 billion valuation. Its new valuation represents paper value creation in excess of $1 billion per month.

The company, which makes open source and commercial products for processing structured and unstructured data in one location, views its market as a new technology category. Databricks calls the technology a data “lakehouse,” a mashup of data lake and data warehouse.

Databricks CEO and co-founder Ali Ghodsi believes that its new capital will help his company secure market leadership.

For context, since the 1980s, large companies have stored massive amounts of structured data in data warehouses. More recently, companies like Snowflake and Databricks have provided a similar solution for unstructured data called a data lake.

In Ghodsi’s view, combining structured and unstructured data in a single place with the ability for customers to execute data science and business-intelligence work without moving the underlying data is a critical change in the larger data market.

“[Data lakehouses are] a new category, and we think there’s going to be lots of vendors in this data category. So it’s a land grab. We want to quickly race to build it and complete the picture,” he said in an interview with TechCrunch.

9 investors discuss hurdles, opportunities and the impact of cloud vendors in enterprise data lakes

Ghodsi also pointed out that he is going up against well-capitalized competitors and that he wants the funds to compete hard with them.

“And you know, it’s not like we’re up against some tiny startups that are getting seed funding to build this. It’s all kinds of [large, established] vendors,” he said. That includes Snowflake, Amazon, Google and others who want to secure a piece of the new market category that Databricks sees emerging.

The company’s performance indicates that it’s onto something.

Growth

Databricks has reached the $600 million annual recurring revenue (ARR) milestone, it disclosed as part of its funding announcement. It closed 2020 at $425 million ARR, to better illustrate how quickly it is growing at scale.

Per the company, its new ARR figure represents 75% growth, measured on a year-over-year basis.

That’s quick for a company of its size; per the Bessemer Cloud Index, top-quartile public software companies are growing at around 44% year over year. Those companies are worth around 22x their forward revenues.

At its new valuation, Databricks is worth 63x its current ARR. So Databricks isn’t cheap, but at its current pace should be able to grow to a size that makes its most recent private valuation easily tenable when it does go public, provided that it doesn’t set a new, higher bar for its future performance by raising again before going public.

Ghodsi declined to share timing around a possible IPO, and it isn’t clear whether the company will pursue a traditional IPO or if it will continue to raise private funds so that it can direct list when it chooses to float. Regardless, Databricks is now sufficiently valuable that it can only exit to one of a handful of mega-cap technology giants or go public.

Why hasn’t the company gone public? Ghodsi is enjoying a rare position in the startup market: He has access to unlimited capital. Databricks had to open another $100 million in its latest round, which was originally set to close at just $1.5 billion. It doesn’t lack for investor interest, allowing its CEO to bring aboard the sort of shareholder he wants for his company’s post-IPO life — while enjoying limited dilution.

This also enables him to hire aggressively, possibly buy some smaller companies to fill in holes in Databricks’ product roadmap, and grow outside of the glare of Wall Street expectations from a position of capital advantage. It’s the startup equivalent of having one’s cake and eating it too.

Would the math work if Databricks were valued at $38B?

But staying private longer isn’t without risks. If the larger market for software companies was rapidly devalued, Databricks could find itself too expensive to go public at its final private valuation. However, given the long bull market that we’ve seen in recent years for software shares, and the confidence Ghodsi has in his potential market, that doesn’t seem likely.

There’s still much about Databricks’ financial position that we don’t yet know — its gross margin profile, for example. TechCrunch is also incredibly curious what all its fundraising and ensuing spending have done to near-term Databricks operating cash flow results, as well as how long its gross-margin adjusted CAC payback has evolved since the onset of COVID-19. If we ever get an S-1, we might find out.

For now, winsome private markets are giving Ghodsi and crew space to operate an effectively public company without the annoyances that come with actually being public. Want the same thing for your company? Easy: Just reach $600 million ARR while growing 75% year over year.


By Alex Wilhelm

‘No code’ process automation platform, Leapwork, fires up with $62M Series B

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Copenhagen-based process automation platform Leapwork has snagged Denmark’s largest ever Series B funding round, announcing a $62 million raise co-led by KKR and Salesforce Ventures, with existing investors DN Capital and Headline also participating.

Also today it’s disclosing that its post-money valuation now stands at $312M. 

The ‘no code’ 2015-founded startup last raised back in 2019, when it snagged a $10M Series A. The business was bootstrapped through earlier years — with the founders putting in their own money, garnered from prior successful exits. Their follow on bet on ‘no code’ already looks to have paid off in spades: Since launching the platform in 2017, Leapwork has seen its customer base more than double year on year and it now has a roster of 300+ customers around the world paying it to speed up their routine business processes.

Software testing is a particular focus for the tools, which Leapwork pitches at enterprises’ quality assurance and test teams.

It claims that by using its ‘no code’ tech — a label for the trend which refers to software that’s designed to be accessible to non-technical staff, greatly increasing its utility and applicability — businesses can achieve a 10x faster time to market, 97% productivity gains, and a 90% reduction in application errors. So the wider pitch is that it can support enterprises to achieve faster digital transformations with only their existing mix of in-house skills. 

Customers include the likes of PayPal, Mercedes-Benz and BNP Paribas.

Leapwork’s own business, meanwhile, has grown to a team of 170 people — working across nine offices throughout Europe, North America and Asia.

The Series B funding will be used to accelerate its global expansion, with the startup telling us it plans to expand the size of its local teams in key markets and open a series of tech hubs to support further product development.

Expanding in North America is a big priority now, with Leapwork noting it recently opened a New York office — where it plans to “significantly” increase headcount.

“In terms of our global presence, we want to ensure we are as close to our customers as possible, by continuing to build up local teams and expertise across each of our key markets, especially Europe and North America,” CEO and co-founder Christian Brink Frederiksen tells TechCrunch. “For example, we will build up more expertise and plan to really scale up the size of the team based out of our New York office over the next 12 months.

“Equally we have opened new offices across Europe, so we want to ensure our teams have the scope to work closely with customers. We also plan to invest heavily in the product and the technology that underpins it. For example, we’ll be doubling the size of our tech hubs in Copenhagen and India over the next 12 months.”

Product development set to be accelerated with the chunky Series B will focus on enhancements and functionality aimed at “breaking down the language barrier between humans and computers”, as Brink Frederiksen puts it

“Europe and the US are our two main markets. Half of our customers are US companies,” he also tells us, adding: “We are extremely popular among enterprise customers, especially those with complex compliance set-ups — 40% of our customers come from enterprises banking, insurance and financial services.

“Having said that, because our solution is no-code, it is heavily used across industries, including healthcare and life sciences, logistics and transportation, retail, manufacturing and more.”

Asked about competitors — given that the no code space has become a seething hotbed of activity over a number of years — Leapwork’s initial response is coy, trying the line that its business is a ‘truly special snowflake’. (“We truly believe we are the only solution that allows non-technical everyday business users to automate repetitive computer processes, without needing to understand how to code. Our no-code, visual language is what really sets us apart,” is how Brink Frederiksen actually phrases that.)

But on being pressed Leapwork names a raft of what it calls “legacy players” — such as Tricentis, Smartbear, Ranorex, MicroFocus, Eggplant Software, Mabl and Selenium — as (also) having “great products”, while continuing to claim they “speak to a different audience than we do”.

Certainly Leapwork’s Series B raise speaks loudly of how much value investors are seeing here.

Commenting in a statement, Patrick Devine, director at KKR, said: “Test automation has historically been very challenging at scale, and it has become a growing pain point as the pace of software development continues to accelerate. Leapwork’s primary mission since its founding has been to solve this problem, and it has impressively done so with its powerful no-code automation platform.”

“The team at Leapwork has done a fantastic job building a best-in-class corporate culture which has allowed them to continuously innovate, execute and push the boundaries of their automation platform,” added Stephen Shanley, managing director at KKR, in another statement.

In a third supporting statement, Nowi Kallen, principal at Salesforce Ventures, added: “Leapwork has tapped into a significant market opportunity with its no-code test automation software. With Christian and Claus [Rosenkrantz Topholt] at the helm and increased acceleration to digital adoption, we look forward to seeing Leapwork grow in the coming years and a successful partnership.”

The proof of the no code ‘pudding’ is in adoption and usage — getting non-developers to take to and stick with a new way of interfacing with and manipulating information. And so far, for Leapwork, the signs are looking good.

Leapwork raises $10M for its easy process automation platform, plans US expansion

Don’t hate on low-code and no-code


By Natasha Lomas

Ramp and Brex draw diverging market plans with M&A strategies

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Earlier today, spend management startup Ramp said it has raised a $300 million Series C that valued it $3.9 billion. It also said it was acquiring Buyer, a “negotiation-as-a-service” platform that it believes will help customers save money on purchases and SaaS products.

The round and deal were announced just a week after competitor Brex shared news of its own acquisition — the $50 million purchase of Israeli fintech startup Weav. That deal was made after Brex’s founders invested in Weav, which offers a “universal API for commerce platforms”.

From a high level, all of the recent deal-making in corporate cards and spend management shows that it’s not enough to just help companies track what employees are expensing these days. As the market matures and feature sets begin to converge, the players are seeking to differentiate themselves from the competition.

But the point of interest here is these deals can tell us where both companies think they can provide and extract the most value from the market.

These differences come atop another layer of divergence between the two companies: While Brex has instituted a paid software tier of its service, Ramp has not.

Earning more by spending less

Let’s start with Ramp. Launched in 2019, the company is a relative newcomer in the spend management category. But by all accounts, it’s producing some impressive growth numbers. As our colleague Mary Ann Azevedo wrote this morning:

Since the beginning of 2021, the company says it has seen its number of cardholders on its platform increase by 5x, with more than 2,000 businesses currently using Ramp as their “primary spend management solution.” The transaction volume on its corporate cards has tripled since April, when its last raise was announced. And, impressively, Ramp has seen its transaction volume increase year over year by 1,000%, according to CEO and co-founder Eric Glyman.

Ramp’s focus has always been on helping its customers save money: It touts a 1.5% cashback reward for all purchases made through its cards, and says its dashboard helps businesses identify duplicitous subscriptions and license redundancies. Ramp also alerts customers when they can save money on annual vs. monthly subscriptions, which it says has led many customers to do away with established T&E platforms like Concur or Expensify.

All told, the company claims that the average customer saves 3.3% per year on expenses after switching to its platform — and all that is before it brings Buyer into the fold.


By Ryan Lawler

Marvell nabs Innovium for $1.1B as it delves deeper into cloud ethernet switches

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Marvell announced this morning it intends to acquire Innovium for $1.1 billion in an all-stock deal. The startup, which raised over $400 million according to Crunchbase data, makes networking ethernet switches optimized for the cloud.

Marvell president and CEO Matt Murphy sees Innovium as a complementary piece to the $10 billion Inphi acquisition last year, giving the company, which makes copper-based chips, more ways to work across modern cloud data centers.

“Innovium has established itself as a strong cloud data center merchant switch silicon provider with a proven platform, and we look forward to working with their talented team who have a strong track record in the industry for delivering multiple generations of highly successful products,” Marvell CEO Matt Murphy said in a statement.

Innovium founder and CEO Rajiv Khemani, who will remain on as an advisor post-close, told a familiar tale from a startup CEO being acquired, seeing the sale as a way to accelerate more quickly as part of a larger organization than it could on its own. “As we engaged with Marvell, it became clear that our data center optimized portfolio combined with Marvell’s scale, leading technology platform and complementary portfolio, can accelerate our growth and vision of delivering breakthrough switch silicon for the cloud and edge,” he wrote in a company blog post announcing the deal.

2021 will be a calmer year for semiconductors and chips (except for Intel)

The company, which was founded in 2014, raised over $143 million last year on a post money valuation of $1.3 billion, according to Pitchbook data. The question is was this a reasonable deal for the company given that valuation?

No company wants to sell for less than it was last valued by its investors. In some cases, such deals can still be accretive for early backers of the selling concern, but not always. In this case TechCrunch is not privy to all the details of the Innovium cap table and what its later investors may have built into their deals with the company in the form of downside protection; such measures can tilt the value of the sale of company more towards its later and final investors. This is usually managed at the expense of its earlier backers and employees.

Still, the Innovium deal should not be seen as a failure. Building a company that sells for north of $1 billion in equity value is impressive. The deal appears to be slightly smaller in enterprise value terms. In the business world, enterprise value is a useful method of valuing the true cost of an acquisition. In the case of Innovium, a large cash position, what was described as “Innovium cash and exercise proceeds expected at closing of approximately $145 million,” lowered the cost of the transaction to a more modest $955 million in net outlays.

Our general perspective is that the sale is probably not the outcome that Innovium’s backers had hoped for, but that it may still prove lucrative to early workers and early investors, and still works at that lower figure. It’s also notable how in today’s market of mega-rounds and surfeit unicorns, an exit north of the $1 billion mark in equity terms can be viewed as a disappointment in any terms. Innovium is selling for around the price that Facebook paid for Instagram in 2012, a deal that at the time was so large that it dominated technology headlines around the world.

But with so much capital available today, private valuations are soaring and mega deals abound. And recent rounds north of $100 million, much like Innovium’s 2020-era, $143 million round, can set companies up with rich valuations and a narrow path in front of them to beat those heightened expectations.

What likely happened? Perhaps Innovium found itself with more cash than opportunities to spend it; perhaps it simply needed a large partner to help it better sell into its market. With expected revenues of $150 million in Marvell’s fiscal 2023, its next fiscal period, Innovium did not fail to reach scale. It may have simply grown well as a private, independent company, and stalled out after its last round.

Regardless, a billion dollar exit is a billion dollar exit. The deal is expected to close by the end of this year. While both company boards have approved the deal, it still must clear regular closing hurdles including approval by Innovium’s private stock holders.

More chip industry action as Marvell is acquiring Inphi for $10B


By Ron Miller

Salesforce steps into RPA buying Servicetrace and teaming it with Mulesoft

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Over the last couple of years, Robotic Process Automation or RPA has been red hot with tons of investor activity and M&A from companies like SAP, IBM and ServiceNow. UIPath had a major IPO in April and has a market cap over $30 billion. I wondered when Salesforce would get involved and today the company dipped its toe into the RPA pool, announcing its intent to buy German RPA company Servicetrace.

Salesforce intends to make Servicetrace part of Mulesoft, the company it bought in 2018 for $6.5 billion. The companies aren’t divulging the purchase price, suggesting it’s a much smaller deal. When Servicetrace is in the fold, it should fit in well with Mulesoft’s API integration, helping to add an automation layer to Mulesoft’s tool kit.

“With the addition of Servicetrace, MuleSoft will be able to deliver a leading unified integration, API management, and RPA platform, which will further enrich the Salesforce Customer 360 — empowering organizations to deliver connected experiences from anywhere. The new RPA capabilities will enhance Salesforce’s Einstein Automate solution, enabling end-to-end workflow automation across any system for Service, Sales, Industries, and more,” Mulesoft CEO Brent Hayward wrote in a blog post announcing the deal.

No code, workflow and RPA line up for their automation moment

While Einstein, Salesforce’s artificial intelligence layer, gives companies with more modern tooling the ability to automate certain tasks, RPA is suited to more legacy operations, and this acquisition could be another step in helping Salesforce bridge the gap between older on-prem tools and more modern cloud software.

Brent Leary, founder and principal analyst at CRM Essentials says that it brings another dimension to Salesforce’s digital transformation tools. “It didn’t take Salesforce long to move to the next acquisition after closing their biggest purchase with Slack. But automation of processes and workflows fueled by realtime data coming from a growing variety sources is becoming a key to finding success with digital transformation. And this adds a critical piece to that puzzle for Salesforce/MulseSoft,” he said.

While it feels like Salesforce is joining the market late, in an investor survey we published in May Laela Sturdy, general partner at CapitalG told us that we are just skimming the surface so far when it comes to RPA’s potential.

“We’re a long way from needing to think about the space maturing. In fact, RPA adoption is still in its early infancy when you consider its immense potential. Most companies are only now just beginning to explore the numerous use cases that exist across industries. The more enterprises dip their toes into RPA, the more use cases they envision,” Sturdy responded in the survey.

Servicetrace was founded in 2004, long before the notion of RPA even existed. Neither Crunchbase nor Pitchbook shows any money raised, but the website suggests a mature company with a rich product set. Customers include Fujitsu, Siemens, Merck and Deutsche Telekom.

5 investors discuss the future of RPA after UiPath’s IPO


By Ron Miller

Zoom buys cloud call center firm Five9 for $14.7 billion

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Zoom is taking advantage of the impressive rise in its stock price in the past year to make its first major acquisition. The popular video conferencing firm, which was valued at about $9 billion at its IPO two years ago, said Sunday evening it has agreed a deal to buy cloud call centre service provider Five9 for about $14.7 billion in an all-stock transaction.

20-year-old Five9 will become an operating unit of Zoom after the deal, which is expected to close in the first half of 2022, the two firms said.

The proposed acquisition is Zoom’s latest attempt to expand its offerings. In the past year, the video conferencing software has added several office collaboration products, a cloud phone system, and an all-in-one home communications appliance.

The acquisition of Five9 — which has amassed over 2,000 customers worldwide including Citrix and Under Armour and processes over 7 billion minutes of calls annually — will help Zoom enter the “$24 billion” market for contact centers, the company said.

“We are continuously looking for ways to enhance our platform, and the addition of Five9 is a natural fit that will deliver even more happiness and value to our customers,” said Eric S. Yuan, founder and chief executive of Zoom, in a statement.

Joining forces will offer both firms “significant” cross-selling opportunities in each other’s respective customer bases, the two firms said.

“Businesses spend significant resources annually on their contact centers, but still struggle to deliver a seamless experience for their customers,” said Rowan Trollope, chief executive of Five9.

“It has always been Five9’s mission to make it easy for businesses to fix that problem and engage with their customers in a more meaningful and efficient way. Joining forces with Zoom will provide Five9’s business customers access to best-of-breed solutions, particularly Zoom Phone, that will enable them to realize more value and deliver real results for their business. This, combined with Zoom’s ‘ease-of use’ philosophy and broad communication portfolio, will truly enable customers to engage via their preferred channel of choice.”

The two firms will do a joint Zoom call Monday to share more about the transaction.


By Manish Singh

ServiceMax promises accelerating growth as key to $1.4B SPAC deal

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ServiceMax, a company that builds software for the field-service industry, announced yesterday that it will go public via a special purpose acquisition company, or SPAC, in a deal valued at $1.4 billion. The transaction comes after ServiceMax was sold to GE for $915 million in 2016, before being spun out in late 2018. The company most recently raised $80 million from Salesforce Ventures, a key partner.

Broadly, ServiceMax’s business has a history of modest growth and cash consumption.

ServiceMax competes in the growing field-service industry primarily with ServiceNow, and interestingly enough given Salesforce Ventures’ recent investment, Salesforce Service Cloud. Other large enterprise vendors like Microsoft, SAP and Oracle also have similar products. The market looks at helping digitize traditional field service, but also touches on in-house service like IT and HR giving it a broader market in which to play.

GE originally bought the company as part of a growing industrial Internet of Things (IoT) strategy at the time, hoping to have a software service that could work hand in glove with the automated machine maintenance it was looking to implement. When that strategy failed to materialize, the company spun out ServiceMax and until now it remained part of Silver Lake Partners thanks to a deal that was finalized in 2019.

TechCrunch was curious why that was the case, so we dug into the company’s investor presentation for more hints about its financial performance. Broadly, ServiceMax’s business has a history of modest growth and cash consumption. It promises a big change to that storyline, though. Here’s how.

A look at the data

The company’s pitch to investors is that with new capital it can accelerate its growth rate and begin to generate free cash flow. To get there, the company will pursue organic (in-house) and inorganic (acquisition-based) growth. The company’s blank-check combination will provide what the company described as “$335 million of gross proceeds,” a hefty sum for the company compared to its most recent funding round.


By Ron Miller

You can see fires, but now Qwake wants firefighters to see through them

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When it comes to tough environments to build new technology, firefighting has to be among the most difficult. Smoke and heat can quickly damage hardware, and interference from fires will disrupt most forms of wireless communications, rendering software all but useless. From a technology perspective, not all that much has really changed today when it comes to how people respond to blazes.

Qwake Technologies, a startup based in San Francisco, is looking to upgrade the firefighting game with a hardware augmented reality headset named C-THRU. Worn by responders, the device scans surrounding and uploads key environmental data to the cloud, allowing all responders and incident commanders to have one common operating picture of their situation. The goal is to improve situational awareness and increase the effectiveness of firefighters, all while minimizing potential injuries and casualties.

The company, which was founded in 2015, just raised about $5.5 million in financing this week. The company’s CEO, Sam Cossman, declined to name the lead investor, citing a confidentiality clause in the term sheet. He characterized the strategic investor as a publicly-traded company, and Qwake is the first startup investment this company has made.

(Normally, I’d ignore fundings without these sorts of details, but given that I am obsessed with DisasterTech these days, why the hell not).

Data was the new oil, until the oil caught fire

Qwake has had success in recent months with netting large government contracts as it approaches a wider release of its product in late-2021. It secured a $1.4 million contract from the Department of Homeland Security last year, and also secured a partnership with the U.S. Air Force along with RSA in April. In addition, it raised a bit of angel funding and participated in Verizon’s 5G First Responder Lab as part of its inaugural cohort (reminder that TechCrunch is still owned by Verizon).

Cossman, who founded Qwake along with John Long, Mike Ralston, and Omer Haciomeroglu, has long been interested in fires, and specifically, volcanos. For years, he has been an expeditionary videographer and innovator who climbed calderas and attempted to bridge the gap between audiences, humanitarian response, and science.

“A lot of the work that I have done up until this point was focused on earth science and volcanoes,” he said. “A lot of projects were focused on predicting volcanic eruptions and looking at using sensor networks and different things of that nature to make people who live in those regions that are exposed to volcanic threats safer.”

During one project in Nicaragua, his team suddenly found itself lost amidst the smoke of an active volcano. There were “thick, dense superheated volcanic gases that prevented us from navigating correctly,” Cossman said. He wanted to find technology that might help them navigate in those conditions in the future, so he explored the products available to firefighters. “We figured, ‘Surely these men and women have figured out how do you see in austere environments, how do you make quick decisions, etc.’”

He was left disappointed, but also with a new vision: to build such technology himself. And thus, Qwake was born. “I was pissed off that the men and women who arguably need this stuff more than anybody — certainly more than a consumer — didn’t have anywhere to get it, and yet it was entirely possible,” he said. “But it was only being talked about in science fiction, so I’ve dedicated the last six years or so to make this thing real.”

Building such a product required a diverse set of talent, including hardware engineering, neuroscience, firefighting, product design and more. “We started tinkering and building this prototype. And it very interestingly got the attention of the firefighting community,” Cossman said.

Qwake offers a helmet-based IoT product that firefighters wear to collect data from environments. Image Credits: Qwake Technologies

Qwake at the time didn’t know any firefighters, and as the founders did customer calls, they learned that sensors and cameras weren’t really what responders needed. Instead, they wanted more operational clarity: not just more data inputs, but systems that can take all that noise, synthesize it, and relay critical information to them about exactly what’s going on in an environment and what the next steps should be.

Ultimately, Qwake built a full solution, including both an IoT device that attaches to a firefighter’s helmet and also a tablet-based application that processes the sensor data coming in and attempts to synchronize information from all teams simultaneously. The cloud ties it all together.

So far, the company has design customers with the fire departments of Menlo Park, California and Boston. With the new funding, the team is looking to advance the state of its prototype and get it ready for wider distribution by readying it for scalable manufacturing as it approaches a more public launch later this year.

When the Earth is gone, at least the internet will still be working


By Danny Crichton

ZoomInfo drops $575M on Chorus.ai as AI shakes up the sales market

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ZoomInfo announced this morning it intends to acquire conversational sales intelligence tool Chorus.AI for $575 million. Shares of ZoomInfo are unchanged in pre-market trading following the news, per Yahoo Finance data.

Sales intelligence, Chorus’s market, is a hot space that uses AI to “listen” to sales conversations to help improve interactions between salespeople and customers. ZoomInfo is mostly known for providing information about customers, so the acquisition expands the acquiring company’s platform in a significant way.

The company sees an opportunity to bring together different parts of the sales process in a single platform by “combining ZoomInfo’s historic top-of-the-funnel strength with insights driven from the middle of the funnel in the customer conversations that Chorus captures,” it said in a release.

“With Chorus, the entire organization can make better decisions by surfacing insights and analytics that you would only get if you sat in on every sales or customer success call,” ZoomInfo CEO and founder Henry Schuck said in a blog post announcing the deal.

Ahead of the transaction, ZoomInfo was valued at just under $21 billion.

Chorus.ai rings up $33M for its platform that analyses sales calls to close more deals

Chorus looks for what it calls “smart themes” in sales calls, which help managers steer sales teams towards the types of conversation and tone that is likely to drive more revenue. In fact, Chorus holds the largest patent portfolio related to conversational intelligence, according to the company.

Chorus was founded in 2015 and raised over $100 million along the way, according to Pitchbook data. The most recent round was a $45 million Series C last year.

Crunchbase News reports that at the time of its Series C round of funding, Chorus had “doubled its headcount to more than 100 employees and tripled its revenue over the past year.” That’s the sort of growth that venture capitalists covet, making the company’s 2020 funding round a non-surprise.

Notably PitchBook data indicates that the company’s final private valuation was around the $150 million mark; if accurate, it would imply that the company’s last private round was expensive in dilution terms. And that its investors did well in the exit, quickly more than trebling the capital that was last invested, with investors who put capital in earlier doing even better.

But we’re slightly skeptical of the company’s available valuation history given the growth that it claimed at the time of its Series C; it feels low. If that’s the case, the company’s exit multiple would decrease, making its final sale price slightly less impressive.

Of course a half-billion dollar exit is always material, even if venture capitalists in today’s red-hot, and expensive market are more interested in $1 billion exits and larger.

Chorus.ai will likely not be the final exit in the conversational intelligence space. Its rival Gong (often known by its URL, Gong.io) is one of the hotter startups in this space, having raised over $500 million. Its most recent raise was $250 million on a $7.25 billion valuation last month.

The implication of the Chrous.ai exit and Gong’s enormous private valuation is that the application of AI to audio data in a sales environment is incredibly useful, given the number of customers the two companies’ aggregate valuation implies.

Gong going gangbusters, grabs $250M Series E on $7.25B valuation


By Ron Miller

What does Red Hat’s sale to IBM tell us about Couchbase’s valuation?

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The IPO rush of 2021 continued this week with a fresh filing from NoSQL provider Couchbase. The company raised hundreds of millions while private, making its impending debut an important moment for a number of private investors, including venture capitalists.

According to PitchBook data, Couchbase was last valued at a post-money valuation of $580 million when it raised $105 million in May 2020. The company — despite its expansive fundraising history — is not a unicorn heading into its debut to the best of our knowledge.

We’d like to uncover whether it will be one when it prices and starts to trade, so we dug into Couchbase’s business model and its financial performance, hoping to better understand the company and its market comps.

The Couchbase S-1

The Couchbase S-1 filing details a company that sells database tech. More specifically, Couchbase offers customers database technology that includes what NoSQL can offer (“schema flexibility,” in the company’s phrasing), as well as the ability to ask questions of their data with SQL queries.

Couchbase’s software can be deployed on clouds, including public clouds, in hybrid environments, and even on-prem setups. The company sells to large companies, attracting 541 customers by the end of its fiscal 2021 that generated $107.8 million in annual recurring revenue, or ARR, by the close of last year.

Couchbase breaks its revenue into two main buckets. The first, subscription, includes software license income and what the company calls “support and other” revenues, which it defines as “post-contract support,” or PCS, which is a package of offerings, including “support, bug fixes and the right to receive unspecified software updates and upgrades” for the length of the contract.

The company’s second revenue bucket is services, which is self-explanatory and lower-margin than its subscription products.


By Alex Wilhelm

Neo4j raises Neo$325m as graph-based data analysis takes hold in enterprise

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Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make it more difficult to drop out of a soporific Zoom call, but few companies are ever willing to rip out their database storage engine. Too much risk, and almost no return.

So it’s exceptional when a new database offering breaks through the barriers and redefines the enterprise.

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with additional capital from Alphabet’s venture wing GV. Eurazeo managing director Nathalie Kornhoff-Brüls will join the company’s board of directors.

That funding makes Neo4j among the most well-funded database companies in history, with a collective fundraise haul of more than half a billion dollars. For comparison, MongoDB, which trades on Nasdaq, raised $311 million in total according to Crunchbase before its IPO. Meanwhile, Cockroach Labs of CockroachDB fame has now raised $355 million in funding, including a $160 million round earlier this year at a similar $2 billion valuation.

The past decade has seen a whole new crop of next-generation database models, from scale-out SQL to document to key-value stores to time series and on and on and on. What makes graph databases like Neo4j unique is their focus on the connections between individual data entities. Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection.

CEO and co-founder Emil Eifrem said that Neo4j, which was founded back in 2007, has hit its growth stride in recent years given the rising popularity of graph-based analysis. “We have a deep developer community of hundreds of thousands of developers actively building applications with Neo4j in any given month, but we also have a really deep data science community,” he said.

In the past, most business analysis was built on relational databases. Yet, inter-connected complexity is creeping in everywhere, and that’s where Eifrem believes Neo4j has a durable edge. As an example, “any company that ships stuff is tapping into this global fine-grain mesh spanning continent to continent,” he suggested. “All of a sudden the ship captain in the Suez Canal … falls asleep, and then they block the Suez Canal for a week, and then you’ve got to figure out how will this affect my enterprise, how does that cascade across my entire supply chain.” With a graph model, that analysis is a cinch.

Neo4j says that 800 enterprises are customers and 75% of the Fortune 100 are users of the company’s products.

We last checked in with the company in 2020 when it launched 4.0, which offered unlimited scaling. Today, Neo4j comes in a couple of different flavors. It’s a database that can be either self-hosted or purchased as a cloud service offering which it dubs Aura. That’s for the data storage folks. For the data scientists, the company offers Neo4j Graph Data Science Library, a set of comprehensive tools for analyzing graph data. The company offers free (or “community” tiers), affordable starting tiers and full-scale enterprise pricing options depending on needs.

Neo4j 4.0 graph database platform brings unlimited scaling

Development continues on the database. This morning at its developers conference, Neo4j demonstrated what it dubbed its “super-scaling technology” on a 200 billion node graph with more than a trillion relationships between them, showing how its tools could offer “real-time” queries on such a large scale.

Unsurprisingly, Eifrem said that the new venture funding will be used to continue doubling down on “product, product, product” but emphasized a few major strategic initiatives as critical for the company. First, he wants to continue to deepen the company’s partnerships with public cloud providers. It already has a deep relationship with Google Cloud (GV was an investor in this round after all), and hopes to continue building relationships with other providers.

It’s also seeing a major uptick in interest from the APAC region. Eifrem said that the company recently opened up an office in Singapore to accelerate its sales in the broader IT market there.

Overall, “We think that graphs can be a significant part of the modern data landscape. In fact, we believe it can be the biggest part of the modern data landscape. And this round, I think, sends a clear signal [that] we’re going for it,” he said.

Erik Nordlander and Tom Hulme of GV were the leads for that firm. In addition, DTCP and Lightrock newly invested and previous investors One Peak, Creandum, and Greenbridge Partners joined the round.


By Danny Crichton

Network security startup ExtraHop skips and jumps to $900M exit

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Last year, Seattle-based network security startup ExtraHop was riding high, quickly approaching $100 million in ARR and even making noises about a possible IPO in 2021. But there will be no IPO, at least for now, as the company announced this morning it has been acquired by a pair of private equity firms for $900 million.

The firms, Bain Capital Private Equity and Crosspoint Capital Partners, are buying a security solution that provides controls across a hybrid environment, something that could be useful as more companies find themselves in a position where they have some assets on-site and some in the cloud.

The company is part of the narrower Network Detection and Response (NDR) market. According to Jesse Rothstein, ExtraHop’s chief technology officer and co-founder, it’s a technology that is suited to today’s threat landscape, “I will say that ExtraHop’s north star has always really remained the same, and that has been around extracting intelligence from all of the network traffic in the wire data. This is where I think the network detection and response space is particularly well-suited to protecting against advanced threats,” he told TechCrunch.

The company uses analytics and machine learning to figure out if there are threats and where they are coming from, regardless of how customers are deploying infrastructure. Rothstein said he envisions a world where environments have become more distributed with less defined perimeters and more porous networks.

“So the ability to have this high quality detection and response capability utilizing next generation machine learning technology and behavioral analytics is so very important,” he said.

Max de Groen, managing partner at Bain, says his company was attracted to the NDR space, and saw ExtraHop as a key player. “As we looked at the NDR market, ExtraHop, which […] has spent 14 years building the product, really stood out as the best individual technology in the space,” de Groen told us.

Security remains a frothy market with lots of growth potential. We continue to see a mix of startups and established platform players jockeying for position, and private equity firms often try to establish a package of services. Last week, Symphony Technology Group bought FireEye’s product group for $1.2 billion, just a couple of months after snagging McAfee’s enterprise business for $4 billion as it tries to cobble together a comprehensive enterprise security solution.


By Ron Miller