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Are B2B SaaS marketers getting it wrong?
Which terms come to mind when you think about SaaS?
“Solutions,” “cutting-edge,” “scalable” and “innovative” are just a sample of the overused jargon lurking around every corner of the techverse, with SaaS marketers the world over seemingly singing from the same hymn book.
Sadly for them, new research has proven that such jargon-heavy copy — along with unclear features and benefits — is deterring customers and cutting down conversions. Around 57% of users want to see improvements in the clarity and navigation of websites, suggesting that techspeak and unnecessarily complex UX are turning customers away at the door, according to The SaaS Engine.
That’s not to say SaaS marketers aren’t trying: Seventy percent of those surveyed have been making big adjustments to their websites, and 33% have updated their content. So how and why are they missing the mark?
They say there’s no bigger slave to fashion than someone determined to avoid it, and SaaS marketing is no different. To truly stand out, you need to do thorough competitor analysis.
There are three common blunders that most SaaS marketers make time and again when it comes to clarity and high-converting content:
- Not differentiating from competitors.
- Not humanizing “tech talk.”
- Not tuning their messaging to prospects’ stage of awareness at the appropriate stage of the funnel.
We’re going to unpack what the research suggests and the steps you can take to avoid these common pitfalls.
Blending into the competition
It’s a jungle out there. But while camouflage might be key to surviving in the wild, in the crowded SaaS marketplace, it’s all about standing out. Let’s be honest: How many SaaS homepages have you visited that look the same? How many times have you read about “innovative tech-driven solutions that will revolutionize your workflow”?
The research has found that of those using SaaS at work, 76% are now on more platforms or using existing ones more intensively than last year. And as always, with increased demand comes a boom in competition, so it’s never been more important to stand out. Rather than imitating the same old phrases and copy your competitors are using, it’s time to reach your audience with originality, empathy and striking clarity.
But how do you do that?
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Workera.ai, a precision upskilling platform, taps $16M to close enterprise skills gap
Finding the right learning platform can be difficult, especially as companies look to upskill and reskill their talent to meet demand for certain technological capabilities, like data science, machine learning and artificial intelligence roles.
Workera.ai’s approach is to personalize learning plans with targeted resources — both technical and nontechnical roles — based on the current level of a person’s proficiency, thereby closing the skills gap.
The Palo Alto-based company secured $16 million in Series A funding, led by New Enterprise Associates, and including existing investors Owl Ventures and AI Fund, as well as individual investors in the AI field like Richard Socher, Pieter Abbeel, Lake Dai and Mehran Sahami.
Kian Katanforoosh, Workera’s co-founder and CEO, says not every team is structured or feels supported in their learning journey, so the company comes at the solution from several angles with an assessment on technical skills, where the employee wants to go in their career and what skills they need for that, and then Workera will connect those dots from where the employee is in their skillset to where they want to go. Its library has more than 3,000 micro-skills and personalized learning plans.
“It is what we call precision upskilling,” he told TechCrunch. “The skills data then can go to the organization to determine who are the people that can work together best and have a complementary skill set.”
Workera was founded in 2020 by Katanforoosh and James Lee, COO, after working with Andrew Ng, Coursera co-founder and Workera’s chairman. When Lee first connected with Katanforoosh, he knew the company would be able to solve the problem around content and basic fundamentals of upskilling.
It raised a $5 million seed round last October to give the company a total of $21 million raised to date. This latest round was driven by the company’s go-to-market strategy and customer traction after having acquired over 30 customers in 12 countries.
Over the past few quarters, the company began working with Fortune 500 companies, including Siemens Energy, across industries like professional services, medical devices and energy, Lee said. As spending on AI skills is expected to exceed $79 billion by 2022, he says Workera will assist in closing the gap.
“We are seeing a need to measure skills,” he added. “The size of the engagements are a sign as is the interest for tech and non-tech teams to develop AI literacy, which is a more pressing need.”
As a result, it was time to increase the engineering and science teams, Katanforoosh said. He plans to use the new funding to invest in more talent in those areas and to build out new products. In addition, there are a lot of natural language processes going on behind the scenes, and he wants the company to better understand it at a granular level so that the company can assess people more precisely.
Carmen Chang, general partner and head of Asia at NEA, said she is a limited partner in Ng’s AI fund and in Coursera, and has looked at a lot of his companies.
She said she is “very excited” to lead the round and about Workera’s concept. The company has a good understanding of the employee skill set, and with the tailored learning program, will be able to grow with company needs, Chang added.
“You can go out and hire anyone, but investing in the people that you have, educating and training them, will give you a look at the totality of your employees,” Chang said. “Workera is able to go in and test with AI and machine learning and map out the skill sets within a company so they will be able to know what they have, and that is valuable, especially in this environment.”
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Tuna raises $3M to address complexity of e-commerce payments in Latin America
Tuna is on a mission to “fine tune” the payments space in Latin America and has raised two seed rounds totaling $3 million, led by Canary and by Atlantico.
Alex Tabor, Paul Ascher and Juan Pascual met each other on the engineering team of Peixe Urbano, a company Tabor co-founded and he referred to as a “Groupon for Brazil.” While there, they came up with a way to use A/B testing to create a way of dealing with payments in different markets.
They eventually left Peixe Urbano and started Tuna in 2019 to make their own payment product that enables merchants to use A/B testing of credit card processors and anti-fraud providers to optimize their payments processing with one integration and a no-code interface.
Tabor explained that the e-commerce landscape in Latin America was consolidated, meaning few banks controlled more of the market. The address verification system merchants use to verify a purchaser is who they say they are, involves sending information to a bank that is returned to the merchant with a score of whether that match is legitimate.
“In the U.S., that score is used to determine if the purchaser is legit, but they didn’t implement that in Latin America,” he added. “Instead, merchants in LatAm have to tap into other organizations that have that data.”
That process involves manual analysis and constant adjusting due to fraud. Instead, Tuna’s A/B tests between processors and anti-fraud providers in real time and provides a guarantee that a decision to swap providers is based on objective data that considers all components of performance, like approval rates, and not just fees.
Over the past year, the company added 12 customers and saw its revenue increase 15%. It boasts a customer list that includes the large Brazilian fashion chain Riachuelo, and its platform integrates with others including VTEX, Magento and WooCommerce.
The share of e-commerce in overall retail is less than 10% in Latin America. Marcos Toledo, Canary’s managing partner, said via email that e-commerce in LatAm is currently at an inflexion point: not only has the global pandemic driven more online purchases, but also fintech innovation that has occurred in recent years.
In Brazil alone, e-commerce sales grew 73.88% in 2020, but Toledo said there was much room for improvement. What Tuna is building will help companies navigate the situation and make it easier for more customers to buy online.
Toledo met the Tuna team from his partner, Julio Vasconcellos, who was one of the co-founders of Peixe Urbano. When the firm heard that the other Tuna co-founders were starting a business that was applying some of the optimization methods they had created at Peixe Urbano, but for every company, they saw it as an opportunity to get involved.
“The vast tech expertise that Alex, Paul and Juan bring to a very technical business is something that we really admire, as well as their vision to create a solution that can impact companies throughout Latin America,” Toledo said. “The no-code solution that Tuna is building is exciting because it is scalable and can help companies not only get better margins, but also drive their developers to other efforts — and developers have been a very scarce workforce in the region.”
To meet demand for an e-commerce industry that surpassed $200 billion in 2020, Tuna plans to use the new funding to build out its team and grow outbound customer success and R&D, Tabor said.
Up next, he wants to be able to show traction in payments optimization and facilitators in Brazil before moving on to other countries. He has identified Mexico, Colombia and Argentina as potential new markets.
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‘No-code’ process automation platform, Leapwork, fires up with $62M Series B
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 $312 million.
The “no-code” 2015-founded startup last raised back in 2019, when it snagged a $10 million 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 U.S. are our two main markets. Half of our customers are U.S. companies,” he also tells us, adding: “We are extremely popular among enterprise customers, especially those with complex compliance setups — 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.
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Cribl raises $200M to help enterprises do more with their data
At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data.
Enter Cribl. The San Francisco-based company is developing an “open ecosystem of data” for enterprises that utilizes unified data pipelines, called “observability pipelines,” to parse and route any type of data that flows through a corporate IT system. Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor.
The company announced Wednesday a $200 million round of Series C funding to value Cribl at $1.5 billion, according to a source close to the company. Greylock and Redpoint Ventures co-led the round and were joined by new investor IVP, existing investors Sequoia and CRV and strategic investment from Citi Ventures and CrowdStrike. The new capital infusion gives Cribl a total of $254 million in funding since the company was started in 2017, Cribl co-founder and CEO Clint Sharp told TechCrunch.
Sharp did not discuss the valuation; however, he believes that the round is “validation that the observability pipeline category is legit.” Data is growing at a compound annual growth rate of 25%, and organizations are collecting five times more data today than they did 10 years ago, he explained.
“Ultimately, they want to ask and answer questions, especially for IT and security people,” Sharp added. “When Zoom sends data on who started a phone call, that might be data I need to know so I know who is on the call from a security perspective and who they are communicating with. Also, who is sending files to whom and what machines are communicating together in case there is a malicious actor. We can also find out who is having a bad experience with the system and what resources they can access to try and troubleshoot the problem.”
Cribl also enables users to choose how they want to store their data, which is different from competitors that often lock companies into using only their products. Instead, customers can buy the best products from different categories and they will all talk to each other through Cribl, Sharp said.
Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs. He explains that the lake is where all of the data will go that doesn’t need to go into an existing storage solution. The pipelines will send the data to specific tools and then collect the data, and what doesn’t fit will go back into the lake so companies have it to go back to later. Companies can keep the data for longer and more cost effectively.
Cribl said it is seven times more efficient at processing event data and boasts a customer list that includes Whole Foods, Vodafone, FINRA, Fannie Mae and Cox Automotive.
Sharp went after additional funding after seeing huge traction in its existing customer base, saying that “when you see that kind of traction, you want to keep doubling down.” His aim is to have a presence in every North American city and in Europe, to continue launching new products and growing the engineering team.
Up next, the company is focusing on go-to-market and engineering growth. Its headcount is 150 currently, and Sharp expects to grow that to 250 by the end of the year.
Over the last fiscal year, Cribl grew its revenue 293%, and Sharp expects that same trajectory for this year. The company is now at a growth stage, and with the new investment, he believes Cribl is the “future leader in observability.”
“This is a great investment for us, and every dollar, we believe, is going to create an outsized return as we are the only commercial company in this space,” he added.
Scott Raney, managing director at Redpoint Ventures, said his firm is a big enterprise investor in software, particularly in companies that help organizations leverage data to protect themselves, a sweet spot that Cribl falls into.
He feels Sharp is leading a team, having come from Splunk, that has accomplished a lot, has a vision and a handle on the business and knows the market well. Where Splunk is capturing the machine data and using its systems to extract the data, Cribl is doing something similar in directing the data where it needs to go, while also enabling companies to utilize multiple vendors and build apps to sit on top of its infrastructure.
“Cribl is adding opportunity by enriching the data flowing through, and the benefits are going to be meaningful in cost reduction,” Raney said. “The attitude out there is to put data in cheaper places, and afford more flexibility to extract data. Step one is to make that transition, and step two is how to drive the data sitting there. Cribl is doing something that will go from being a big business to a legacy company 30 years from now.”
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Bodo.ai secures $14M, aims to make Python better at handling large-scale data
Bodo.ai, a parallel compute platform for data workloads, is developing a compiler to make Python portable and efficient across multiple hardware platforms. It announced Wednesday a $14 million Series A funding round led by Dell Technologies Capital.
Python is one of the top programming languages used among artificial intelligence and machine learning developers and data scientists, but as Behzad Nasre, co-founder and CEO of Bodo.ai, points out, it is challenging to use when handling large-scale data.
Bodo.ai, headquartered in San Francisco, was founded in 2019 by Nasre and Ehsan Totoni, CTO, to make Python higher performing and production ready. Nasre, who had a long career at Intel before starting Bodo, met Totoni and learned about the project that he was working on to democratize machine learning and enable parallel learning for everyone. Parallelization is the only way to extend Moore’s Law, Nasre told TechCrunch.
Bodo does this via a compiler technology that automates the parallelization so that data and ML developers don’t have to use new libraries, APIs or rewrite Python into other programming languages or graphics processing unit code to achieve scalability. Its technology is being used to make data analytics tools in real time and is being used across industries like financial, telecommunications, retail and manufacturing.
“For the AI revolution to happen, developers have to be able to write code in simple Python, and that high-performance capability will open new doors,” Totoni said. “Right now, they rely on specialists to rewrite them, and that is not efficient.”
Joining Dell in the round were Uncorrelated Ventures, Fusion Fund and Candou Ventures. Including the new funding, Bodo has raised $14 million in total. The company went after Series A dollars after its product had matured and there was good traction with customers, prompting Bodo to want to scale quicker, Nasre said.
Nasre feels Dell Technologies Capital was “uniquely positioned to help us in terms of reserves and the role they play in the enterprise at large, which is to have the most effective salesforce in enterprise.”
Though he was already familiar with Nasre, Daniel Docter, managing director at Dell Technologies, heard about Bodo from a data scientist friend who told Docter that Bodo’s preliminary results “were amazing.”
Much of Dell’s investments are in the early-stage and in deep tech founders that understand the problem. Docter puts Totoni and Nasre in that category.
“Ehsan fits this perfectly, he has super deep technology knowledge and went out specifically to solve the problem,” he added. “Behzad, being from Intel, saw and lived with the problem, especially seeing Hadoop fail and Spark take its place.”
Meanwhile, with the new funding, Nasre intends to triple the size of the team and invest in R&D to build and scale the company. It will also be developing a marketing and sales team.
The company is now shifting from financing to customer- and revenue-focused as it aims to drive up adoption by the Python community.
“Our technology can translate simple code into the fast code that the experts will try,” Totoni said. “I joined Intel Labs to work on the problem, and we think we have the first solution that will democratize machine learning for developers and data scientists. Now, they have to hand over Python code to specialists who rewrite it for tools. Bodo is a new type of compiler technology that democratizes AI.”
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Forward Kitchens cooks up $2.5M to transform existing kitchens into digital storefronts
Forward Kitchens was working quietly on its digital storefront for restaurants and is now announcing a $2.5 million seed round.
Raghav Poddar started the company two years ago and was part of the Y Combinator Summer 2019 cohort. Poddar told TechCrunch he has been a foodie his entire life. Lately, he was relying on food delivery and pickup services, and while visiting with some of the restaurant owners, he realized a few things: first, not many had a good online presence, and second, these restaurants had the ability to cook cuisine representative of their communities.
That led to the idea of Forward Kitchens, which provides a turnkey tool for restaurants to set up an online presence, including food delivery, where they can create multiple digital storefronts easily and without having to contact each delivery platform. The company ran pilot programs in a handful of restaurants, and this is the first year coming out of stealth.
“It’s an expansion of what they have on the menu, but is not immediately available in the neighborhood,” Poddar added. “Kitchens can keep the costs and headcount the same, but be able to service the demand and get more orders because it is fulfilling a need for the neighborhood, which is why we can grow so fast.”
Here’s how it works: Forward Kitchens goes into a restaurant and takes into account its capacity for additional cooking and the demographic area, as well as what food is available near it, and helps the restaurant create the storefront.
Each restaurant is able to build multiple storefronts, for example, an Italian restaurant setting up a storefront just to sell its popular mac n’ cheese or other small plates on demand. A couple hundred digital storefronts were already created, Poddar said.
A group of investors, including Y Combinator, Floodgate, Slow Ventures and SV Angel and angel investors Michael Seibel of YC, Ram Shriram and Thumbtack’s Jonathan Swanson, were involved in the round.
The new funding will be used to expand the company’s footprint and reach, and to hire a team in operations, sales and engineering to help support the product.
“Forward Kitchens is empowering independent kitchens to create digital storefronts and receive more online sales,” Seibel said via email. “With Forward Kitchens, a kitchen can create world-class digital storefronts at the click of a button.”
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Ramp and Brex draw diverging market plans with M&A strategies
Earlier today, spend management startup Ramp said it has raised a $300 million Series C that valued it at $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:
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% cash back 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 versus 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.
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Tango dances in with $5.7M, making employee onboarding easier
Ken Babcock and his co-founders, Dan Giovacchini and Brian Shultz, were in the midst of Harvard Business School in March 2020 when they felt the call to start Tango, a Chrome extension that auto-captures workflow best practices so that teams can learn from their top performers.
“This window of opportunity was driven by the pandemic as we saw a lot of companies become distributed and go remote,” CEO Babcock told TechCrunch. “Team leaders were remotely onboarding people, for perhaps the first time, and accelerating ramp times. There was no longer the opportunity to tap on people’s shoulders in the office, so much of the training was left to people’s own devices.”
They dropped out of their program to start Los Angeles-based Tango, and today, announced a $5.7 million seed round for its workflow intelligence platform. Wing Venture Capital led the round and was joined by General Catalyst, Global Silicon Valley, Outsiders Fund and Red Sea Ventures. A group of angel investors also joined, including former Yelp executive Michael Stoppelman, former Uber head of data Jai Ranganathan, KeepTruckin CEO Shoaib Makani and Awesome People Ventures’ Julia Lipton.
Tango is designed to help employees, particularly in customer success and sales enablement, get back as much as 20% of their workweek spent searching for that one piece of information or tracking down the right colleague to assist with a task. Its technology creates tutorials by recording a users’ workflow — actions, links to pages, URLs and screenshots — and turns that into step-by-step documentation with a video.
Previously the co-founders bootstrapped the company, and decided to go after seed funding to expand the product and growth teams and invest in product development so that Tango could take a product-led growth strategy, Babcock said. The team now has 13 employees.
Since starting last year, Tango has secured 10 pilots to figure out the data and capabilities before it is set to launch publicly in September. Babcock said the company will always have a free version of the product, as well as premium and enterprise versions that will unlock additional capabilities.
“The big thing is around integrations and meeting people where the consumer content is,” Babcock added. “We are reducing that burden of creating documentation, and for companies that already have Wikis or other materials, learning how to inject ourselves into those systems.”
Zach DeWitt, partner at Wing Venture Capital, said he met the company three years ago through a mutual friend.
His firm invests in early-stage, business-to-business startups unlocking a novel data set. In Tango’s case, the company was creating a new data set for the enterprise and business, where users can analyze workflow.
With the average tech company using 150 SaaS apps, up from 20 a decade ago, there are permutations about which app to use, how to use them, what happens if the user gets stuck and what if none of the data is being captured, Dewitt said. Tango works in the background and captures workflow, which is the foundation to the business’ success.
“I was blown away by the approach,” he added. “You have to meet people where they get stuck and even anticipate where they get stuck so you can serve the Tango tutorial to get unstuck. It can also change the company’s culture when it rewards people to share knowledge. The whole idea is beneficial to multiple parties: to those who are getting stuck and to new hires. That is powerful.”
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NS1 brings open-source service NetBox to the cloud
New York City based startup NS1 got its start providing organizations with managed DNS services to help accelerate application delivery and reliability. With its new NetBox Cloud service that is being announced in preview today, NS1 is expanding its services into a new area beyond DNS.
It can often be a challenging task for a network administrator in an enterprise to understand where all the networking infrastructure is and how it’s all supposed to be connected. That’s a job for an emerging class of enterprise technology known as Infrastructure Resource Management (IRM) that NS1 is now jumping into. TechCrunch profiled NS1 in a wide-ranging EC-1 series last month. The company provides DNS as a service, for some of the biggest sites on the internet. DNS, or domain name system is about connecting IP addresses to domain names and NS1 has technology that helps organizations to intelligently optimize application traffic delivery.
With its new NetBox Cloud service, NS1 is providing a managed service for NetBox which is a popular open source IRM tool that was initially built by developer Jeremy Stretch, while he was working at cloud provider DigitalOcean. Stretch joined NS1 as a distinguished engineer in April of this year, with NS1 now supporting the open source project.
Stretch recounted that at one point during his tenure at DigitalOcean he was using Microsoft Excel spreadsheets to track IP address management. Using a spreadsheet to track IP addresses doesn’t scale, so Stretch coded the initial version of NetBox in 2015 to address that need. Over the last several years, NetBox has expanded with additional capabilities that will now also help users of NS1’s NetBox Cloud service.
Stretch explained that Netbox’s role is primarily in modelling network infrastructure in an approach that provides what he referred to as a “source of truth” for network infrastructure. The basic idea is to enable organizations to model their desired state of their networks and then from that point they can draw in monitoring to verify that the operational state is the same as the desired state.
“So the idea of this source of truth is that it is the actual documented authoritative record of what is supposed to be configured on the network,” Stretch said.
NetBox has continued to grow over the years as a popular open source tool, but it hasn’t been particularly accessible to enterprises that required commercial support to get started, or that wanted a managed service. The goal with the new service is to make it easier for organizations of any size to get started with NetBox to better manage their networks.
NS1 co-founder and CEO Kris Beevers told TechCrunch that while Stretch has done a solid job of building the NetBox open source community, there hasn’t been a commercial service for NetBox. Beevers said that while NetBox has had broad adoption as an open source effort, in his view there are a lot of enterprises that will want commercial support and a managed service.
One key theme that Beevers reiterated time and again in the Extra Crunch EC-1 series is that NS1 is very experimental as a business, and that same theme holds true for NetBox. The primary objective for the initial beta release of the NetBox Cloud is all about figuring out exactly who is trying to adopt the technology and learning what challenges commercial users will face. Fundamentally, Beevers said that NS1 will be actively iterating on NetBox Cloud to make sure it addresses the things that enterprises care about.
“From the NS1 point of view, this is just such a compelling open source product and community and we want to drive barriers to adoption as low as we possibly can,” Beevers said.
NS1 was founded in 2013 and has raised $118.4 million in funding, including a $40 million Series D which the company closed in July 2020.
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