Tag: EC Cloud and Enterprise Infrastructure

Posted on

Seed is not the new Series A

Andy Stinnes Contributor
Andy Stinnes, general partner at Cloud Apps Capital Partners, leads early-stage investments in cloud business companies and serves as active board member and adviser, offering operational support for portfolio companies based on his 20+ years in executive roles in business software.

The incredible success of the cloud business applications space in recent years has driven up valuations and fundraising across all stages of venture investment. That has in turn increased VC fund sizes, led to massive cloud IPOs and brought a new cadre of investors to further fuel the fire.

The median Series A raised by cloud companies these days is about $8 million and can often go well above $10 million, according to PitchBook data from the first quarter of 2021. Series Cs now routinely include secondary capital for founders, and many Series Ds are above $100 million with valuations in the billions.

There is a widening gap in the funding continuum between angel/seed funding at inception and the new-age $10 million Series A at $2 million in ARR.

Such an influx of capital and interest has upended many structures and long-held norms about how startups are funded. Venture funds continue to grow and must write larger checks, but ever-higher valuations force many firms to hunt for opportunities earlier. The VC alphabet soup has been spilled, making A rounds look like Bs used to, and the Bs seem like the Cs of old.

Which begs an interesting question: Is the seed round the new Series A?

We don’t think so.

Seed rounds have certainly grown — averaging about $3 million nowadays from around $1 million to $2 million previously — but otherwise, seed investments are the same as before and remain very different from Series As.

Posted on

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

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.

Posted on

For SaaS startups, differentiation is an iterative process

Jason VandeBoom Contributor
Jason VandeBoom is founder and CEO of ActiveCampaign, a customer experience automation (CXA) company.

Software as a service has been thriving as a sector for years, but it has gone into overdrive in the past year as businesses responded to the pandemic by speeding up the migration of important functions to the cloud. We’ve all seen the news of SaaS startups raising large funding rounds, with deal sizes and valuations steadily climbing. But as tech industry watchers know only too well, large funding rounds and valuations are not foolproof indicators of sustainable growth and longevity.

Failing to come across as a unique, differentiated company will likely mean settling for an exit that feels mediocre instead of incredible.

To scale sustainably, grow its customer base and mature to the point of an exit, a SaaS startup needs to stand apart from the herd at every phase of development. Failure to do so means a poor outcome for founders and investors.

As a founder who pivoted from on-premise to SaaS back in 2016, I have focused on scaling my company (most recently crossing 145,000 customers) and in the process, learned quite a bit about making a mark. Here is some advice on differentiation at the various stages in the life of a SaaS startup.

Launch and early years

Differentiation is crucial early on, because it’s one of the only ways to attract customers. Customers can help lay the groundwork for everything from your product roadmap to pricing.

The more you know about your target customers’ pain points with current solutions, the easier it will be to stand out. Take every opportunity to learn about the people you are aiming to serve, and which problems they want to solve the most. Analyst reports about specific sectors may be useful, but there is no better source of information than the people who, hopefully, will pay to use your solution.

The key to success in the SaaS space is solving real problems. Take DocuSign, for example — the company found a way to simply and elegantly solve a niche problem for users with its software. This is something that sounds easy, but in reality, it means spending hours listening to the customer and tailoring your product accordingly.

Posted on

How to ensure quality in the era of Big Data

Patrik Liu Tran Contributor
Patrik Liu Tran is the co-founder and CEO of Validio, an automated real-time data validation and quality monitoring platform. He holds a Ph.D. in Business Administration (as well as an M.Sc. and B.Sc.) from Stockholm School of Economics, and a Civil Engineering degree in Engineering Physics with an M.Sc. in AI and machine learning from KTH Royal Institute of Technology. Patrik is also the chairman of Stockholm AI.

A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by Silicon Valley startups such as Snowflake, Databricks and Confluent.

Today, any entrepreneur can sign up for BigQuery or Snowflake and have a data solution that can scale with their business in a matter of hours. The emergence of cheap, flexible and scalable data storage solutions was largely a response to changing needs spurred by the massive explosion of data.

Currently, the world produces 2.5 quintillion bytes of data daily (there are 18 zeros in a quintillion). The explosion of data continues in the roaring ‘20s, both in terms of generation and storage — the amount of stored data is expected to continue to double at least every four years. However, one integral part of modern data infrastructure still lacks solutions suitable for the Big Data era and its challenges: Monitoring of data quality and data validation.

Let me go through how we got here and the challenges ahead for data quality.

The value vs. volume dilemma of Big Data

In 2005, Tim O’Reilly published his groundbreaking article “What is Web 2.0?”, truly setting off the Big Data race. The same year, Roger Mougalas from O’Reilly introduced the term “Big Data” in its modern context  —  referring to a large set of data that is virtually impossible to manage and process using traditional BI tools.

Back in 2005, one of the biggest challenges with data was managing large volumes of it, as data infrastructure tooling was expensive and inflexible, and the cloud market was still in its infancy (AWS didn’t publicly launch until 2006). The other was speed: As Tristan Handy from Fishtown Analytics (the company behind dbt) notes, before Redshift launched in 2012, performing relatively straightforward analyses could be incredibly time-consuming even with medium-sized data sets. An entire data tooling ecosystem has since been created to mitigate these two problems.

The emergence of the modern data stack (example logos & categories)

The emergence of the modern data stack (example logos and categories). Image Credits: Validio

Scaling relational databases and data warehouse appliances used to be a real challenge. Only 10 years ago, a company that wanted to understand customer behavior had to buy and rack servers before its engineers and data scientists could work on generating insights. Data and its surrounding infrastructure was expensive, so only the biggest companies could afford large-scale data ingestion and storage.

The challenge before us is to ensure that the large volumes of Big Data are of sufficiently high quality before they’re used.

Then came a (Red)shift. In October 2012, AWS presented the first viable solution to the scale challenge with Redshift — a cloud-native, massively parallel processing (MPP) database that anyone could use for a monthly price of a pair of sneakers ($100) — about 1,000x cheaper than the previous “local-server” setup. With a price drop of this magnitude, the floodgates opened and every company, big or small, could now store and process massive amounts of data and unlock new opportunities.

As Jamin Ball from Altimeter Capital summarizes, Redshift was a big deal because it was the first cloud-native OLAP warehouse and reduced the cost of owning an OLAP database by orders of magnitude. The speed of processing analytical queries also increased dramatically. And later on (Snowflake pioneered this), they separated computing and storage, which, in overly simplified terms, meant customers could scale their storage and computing resources independently.

What did this all mean? An explosion of data collection and storage.

Posted on

New Relic’s business remodel will leave new CEO with work to do

For Bill Staples, the freshly appointed CEO at New Relic, who takes over on July 1, yesterday was a good day. After more than 20 years in the industry, he was given his own company to run. It’s quite an accomplishment, but now the hard work begins.

Lew Cirne, New Relic’s founder and CEO, who is stepping into the executive chairman role, spent the last several years rebuilding the company’s platform and changing its revenue model, aiming for what he hopes is long-term success.

“All the work we did in re-platforming our data tier and our user interface and the migration to consumption business model, that’s not so we can be a $1 billion New Relic — it’s so we can be a multibillion-dollar New Relic. And we are willing to forgo some short-term opportunity and take some short-term pain in order to set us up for long-term success,” Cirne told TechCrunch after yesterday’s announcement.

On the positive side of the equation, New Relic is one of the market leaders in the application performance monitoring space. Gartner has the company in third place behind Dynatrace and Cisco AppDynamics, and ahead of DataDog. While the Magic Quadrant might not be gospel, it does give you a sense of the relative market positions of each company in a given space.

New Relic competes in the application performance monitoring business, or APM for short. APM enables companies to keep tabs on the health of their applications. That allows them to cut off problems before they happen, or at least figure out why something is broken more quickly. In a world where users can grow frustrated quickly, APM is an important part of the customer experience infrastructure. If your application isn’t working well, customers won’t be happy with the experience and quickly find a rival service to use.

In addition to yesterday’s CEO announcement, New Relic reported earnings. TechCrunch decided to dig into the company’s financials to see just what challenges Staples may face as he moves into the corner office. The resulting picture is one that shows a company doing hard work for a more future-aligned product map and business model, albeit one that may not generate the sort of near-term growth that gives Staples ample breathing room with public investors.

Near-term growth, long-term hopes

Making long-term bets on a company’s product and business model future can be difficult for Wall Street to swallow in the near term. But such work can garner an incredibly lucrative result; Adobe is a good example of a company that went from license sales to subscription incomes. There are others in the midst of similar transitions, and they often take growth penalties as older revenues are recycled in favor of a new top line.

So when we observe New Relic’s recent result and guidance for the rest of the year, we’re more looking for future signs of life than quick gains.

Starting with the basics, New Relic had a better-than-anticipated quarter. An analysis showed the company’s profit and adjusted profit per share both beat expectations. And the company announced $173 million in total revenue, around $6 million more than the market expected.

So, did its shares rise? Yes, but just 5%, leaving them far under their 52-week high. Why such a modest bump after so strong a report? The company’s guidance, we reckon. Per New Relic, it expects its current quarter to bring 6% to 7% growth compared to the year-ago period. And it anticipates roughly 6% growth for its current fiscal year (its fiscal 2022, which will conclude at the end of calendar Q1 2022).

Posted on

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

Robotic process automation (RPA) has certainly been getting a lot of attention in the last year, with startups, acquisitions and IPOs all coming together in a flurry of market activity. It all seemed to culminate with UiPath’s IPO last month. The company that appeared to come out of nowhere in 2017 eventually had a final private valuation of $35 billion. It then had the audacity to match that at its IPO. A few weeks later, it still has a market cap of over $38 billion in spite of the stock price fluctuating at points.

Was this some kind of peak for the technology or a flash in the pan? Probably not. While it all seemed to come together in the last year with a big increase in attention to automation in general during the pandemic, it’s a market category that has been around for some time.

RPA allows companies to automate a group of highly mundane tasks and have a machine do the work instead of a human. Think of finding an invoice amount in an email, placing the figure in a spreadsheet and sending a Slack message to Accounts Payable. You could have humans do that, or you could do it more quickly and efficiently with a machine. We’re talking mind-numbing work that is well suited to automation.

In 2019, Gartner found RPA was the fastest-growing category in enterprise software. In spite of that, the market is still surprisingly small, with IDC estimates finding it will reach just $2 billion in 2021. That’s pretty tiny for the enterprise, but it shows that there’s plenty of room for this space to grow.

We spoke to five investors to find out more about RPA, and the general consensus was that we are just getting started. While we will continue to see the players at the top of the market — like UiPath, Automation Anywhere and Blue Prism — jockeying for position with the big enterprise vendors and startups, the size and scope of the market has a lot of potential and is likely to keep growing for some time to come.

To learn about all of this, we queried the following investors:

  • Mallun Yen, founder and partner, Operator Collective
  • Jai Das, partner and president, Sapphire Ventures
  • Soma Somasegar, managing director, Madrona Venture Group
  • Laela Sturdy, general partner, CapitalG
  • Ed Sim, founder and managing partner, Boldstart Ventures

We have seen a range of RPA startups emerge in recent years, with companies like UiPath, Blue Prism and Automation Anywhere leading the way. As the space matures, where do the biggest opportunities remain?

Mallun Yen: One of the fastest-growing categories of software, RPA has been growing at over 60% in recent years, versus 13% for enterprise software generally. But we’ve barely scratched the surface. The COVID-19 pandemic forced companies to shift how they run their business, how they hire and allocate staff.

Given that the workforce will remain at least partially permanently remote, companies recognize that this shift is also permanent, and so they need to make fundamental changes to how they run their businesses. It’s simply suboptimal to hire, train and deploy remote employees to run routine processes, which are prone to, among other things, human error and boredom.

Jai Das: All the companies that you have listed are focused on automating simple repetitive tasks that are performed by humans. These are mostly data entry and data validation jobs. Most of these tasks will be automated in the next couple of years. The new opportunity lies in automating business processes that involve multiple humans and machines within complicated workflow using AI/ML.

Sometimes this is also called process mining. There have been BPM companies in the past that have tried to automate these business processes, but they required a lot of services to implement and maintain these automated processes. AI/ML is providing a way for software to replace all these services.

Soma Somasegar: For all the progress that we have seen in RPA, I think it is still early days. The global demand for RPA market size in terms of revenue was more than $2 billion this past year and is expected to cross $20 billion in the coming decade, growing at a CAGR of more than 30% over the next seven to eight years, according to analysts such as Gartner.

That’s an astounding growth rate in the coming years and is a reflection of how early we are in the RPA journey and how much more is ahead of us. A recent study by Deloitte indicates that up to 50% of the tasks in businesses performed by employees are considered mundane, administrative and labor-intensive. That is just a recipe for a ton of process automation.

There are a lot of opportunities that I see here, including process discovery and mining; process analytics; application of AI to drive effective, more complex workflow automation; and using low code/no code as a way to enable a broader set of people to be able to automate tasks, processes and workflows, to name a few.

Laela Sturdy: 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.

I expect to see market leaders like UiPath continue to innovate rapidly while expanding the breadth and depth of their end-to-end automation platforms. As the technology continues to evolve, we should expect RPA to penetrate even more deeply into the enterprise and to automate increasingly more — and more critical — business processes.

Ed Sim: Most large-scale automation projects require a significant amount of professional services to deliver on the promises, and two areas where I still see opportunity include startups that can bring more intelligence and faster time to value. Examples include process discovery, which can help companies quickly and accurately understand how their business processes work and prioritize what to automate versus just rearchitecting an existing workflow.

Posted on

Freemium isn’t a trend — it’s the future of SaaS

Kyle Poyar Contributor
Kyle Poyar is VP of Growth at OpenView.
More posts by this contributor

As the COVID-19 lockdowns cascaded around the world last spring, companies large and small saw demand slow to a halt seemingly overnight. Enterprises weren’t comfortable making big, long-term commitments when they had no clue what the future would hold.

Innovative SaaS companies responded quickly by making their products available for free or at a steep discount to boost demand.

While Zoom gets all the attention, there were hundreds of free SaaS tools to help folks through the pandemic. Pluralsight ran a #FreeApril campaign, offering free access to its platform for all of April. Cloudflare made its Teams product free from March until September 1, 2020. GitHub went free for teams in April and slashed the price of its paid Team plan.

A selection of new free, free trial and low-priced offerings from leading SaaS companies. Image Credits: Kyle Poyar/OpenView.

The free products were aimed squarely at end users — whether it be a developer, individual marketer, sales rep or someone else at the edge of an organization. These end users were stuck at home during the pandemic, yet they desperately needed software to power their working lives.

End users prefer to do the vast majority of their research online before ever talking to a sales rep, making free products the ideal way to reach them.

End users prefer to do the vast majority of their research online before ever talking to a sales rep, making free products the ideal way to reach them. Many end users want to jump straight into a product, no hassle or credit card or budget approval required.

After they’ve set up an account and customized it for their workflow, end users have essentially already made a purchase decision with their time — all without ever feeling like they were in an active buying cycle.

An end user-focused free offering became an essential SaaS survival strategy in 2020.

But these free offerings didn’t go away as lockdowns loosened up. SaaS companies instead doubled down on freemium because they realized that doing so had a real and positive impact on their business. In doing so, they busted the outdated myths that have held 82% of SaaS companies back from offering their own free plan.

Myth: A free offering will cannibalize paying customers

GoDaddy is a digital behemoth, known for being a ’90s-era pioneer in web domains as well as for their controversial Super Bowl ads. The company has steadily diversified into business software, now generating roughly $700 million in ARR from its business applications segment and reaching millions of paying customers. There are very few businesses that would see greater potential revenue cannibalization from launching a free product than GoDaddy.

But GoDaddy didn’t let fear stop them from testing freemium when lockdowns set in. Freemium started out as a small-scale experiment in spring 2020 for the websites and marketing product. GoDaddy has since increased the experiment to 50% of U.S. website traffic, with plans to scale to 100% of U.S. traffic and open availability to other markets in 2021.

Posted on

SAP CEO Christian Klein looks back on his first year

SAP CEO Christian Klein was appointed co-CEO with Jennifer Morgan last April just as the pandemic was hitting full force across the world. Within six months, Morgan was gone and he was sole CEO, put in charge of a storied company at 38 years old. By October, its stock price was down and revenue projections for the coming years were flat.

That is definitely not the way any CEO wants to start their tenure, but the pandemic forced Klein to make some decisions to move his customers to the cloud faster. That, in turn, had an impact on revenue until the transition was completed. While it makes sense to make this move now, investors weren’t happy with the news.

There was also the decision to spin out Qualtrics, the company his predecessor acquired for $8 billion in 2018. As he looked back on the one-year mark, Klein sat down with me to discuss all that has happened and the unique set of challenges he faced.

Just a pandemic, no biggie

Starting in the same month that a worldwide pandemic blows up presents unique challenges for a new leader. For starters, Klein couldn’t visit anyone in person and get to know the team. Instead, he went straight to Zoom and needed to make sure everything was still running.

The CEO says that the company kept chugging along in spite of the disruption. “When I took over this new role, I of course had some concerns about how to support 400,000 customers. After one year, I’ve been astonished. Our support centers are running without disruption and we are proud of that and continue to deliver value,” he said.

Taking over when he couldn’t meet in person with employees or customers has worked out better than he thought. “It was much better than I expected, and of course personally for me, it’s different. I’m the CEO, but I wasn’t able to travel and so I didn’t have the opportunity to go to the U.S., and this is something that I’m looking forward to now, meeting people and talking to them live,” he said.

That’s something he simply wasn’t able to do for his first year because of travel restrictions, so he says communication has been key, something a lot of executives have discussed during COVID. “I’m in regular contact with the employees, and we do it virtually. Still, it’s not the same as when you do it live, but it helps a lot these days. I would say you cannot over-communicate in such times,” he said.