DREAMTECH NEWS

Equinix and Singapore’s GIC will launch a $1 billion joint venture to build hyperscale data centers in Europe

Equinix, one of the world’s largest data center companies, announced that it will form a $1 billion joint venture with GIC, Singapore’s sovereign wealth fund. The partnership will focus on building xScale data centers in Europe. Instead of targeting the wholesale market, Equinix is developing xScale data centers to handle the demands of of the biggest cloud service providers in the world. Equinix’s clients have already included Alibaba Cloud, Amazon Web Services, Microsoft Azure, Oracle Cloud Infrastructure, Google Cloud and other hyperscale cloud providers.

Under the agreement, expected to be finalized in the third quarter, GIC will own an 80 percent stake in the joint venture, with Equinix owning the remaining 20 percent. Equinix will also sell its London LD10 and Paris PA8 International Business Exchange (IBX) data centers to the joint venture for new xScale centers. xScale centers will also be built in Amsterdam, Frankfurt and London, bringing the total to six centers that will provide a combined capacity of 155 megawatts once completed.

Equinix says global deployments from hyperscale cloud providers currently exceed about $500 million in annual revenue. The new xScale data centers will be located on or near Equinix’s IBX campuses, to enable providers to handle more customer access points and rapidly-scaling workloads. Equinix currently has more than 200 IBX campuses, covering more than 50 metro areas around the world. xScale data centers will also offer interconnection and edge services to increase connection speeds for cloud service customers and be engineered specifically to meet the needs of hyperscale companies.

In a press statement, Charles Meyers, president and CEO of Equinix, said, “The JV structure will enable us to extend our cloud leadership while providing significant value to a critical set of hyperscale customers. We look forward to launching similar JVs in other operating regions and believe that these efforts will continue to further differentiate Equinix as the trusted center of a cloud-first world.”


By Catherine Shu

Video platform Kaltura adds advanced analytics

You may not be familiar with Kaltura‘s name, but chances are you’ve used the company’s video platform at some point or another, given that it offers a variety of video services for enterprises, educational institutions and video on demand platforms, including HBO,  Phillips, SAP, Stanford and others. Today, the company announced the launch of an advanced analytics platform for its enterprise and educational users.

This new platform, dubbed Kaltura Analytics for Admins, will provide its users with features like user-level reports. This may sound like a minor feature, since you probably don’t care about the exact details of a given user’s interactions with your video, but it will allow businesses to link this kind of behavior to other metrics. With this, you could measure the ROI of a given video by linking video watch time and sales, for example. This kind of granularity wasn’t possible with the company’s existing analytics systems. Companies and schools using the product will also get access to time period comparisons to help admins identify trends, deeper technology and geolocation reports, as well as real-time analytics for live events.

eCDN QoS dashboard

“Video is a unique data type in that it has deep engagement indicators for measurement, both around video creation – what types of content are being created by whom, as well as around video consumption and engagement with content – what languages were selected for subtitles, what hot-spots were clicked upon in video,” said Michal Tsur, President & General Manager of Enterprise and Learning at Kaltura. “Analytics is a very strategic area for our customers. Both for tech companies who are building on our VPaaS, as well as for large organizations and universities that use our video products for learning, communication, collaboration, knowledge management, marketing and sales.”

Tsur also tells me that the company is looking at how to best use machine learning to give its customers even deeper insights into how people watch videos — and potentially even offer predictive analytics in the long run.


By Frederic Lardinois

We’ll talk even more Kubernetes at TC Sessions: Enterprise with Microsoft’s Brendan Burns and Google’s Tim Hockin

You can’t go to an enterprise conference these days without talking containers — and specifically the Kubernetes container management system. It’s no surprise then, that we’ll do the same at our inaugural TC Sessions: Enterprise event on September 5 in San Francisco. As we already announced last week, Kubernetes co-founder Craig McLuckie and Aparna Sinha, Google’s director of product management for Kubernetes, will join us to talk about the past, present and future of containers in the enterprise.

In addition, we can now announce that two other Kubernetes co-founders will join us: Google principal software engineer Tim Hockin, who currently works on Kubernetes and the Google Container Engine, and Microsoft distinguished engineer Brendan Burns, who was the lead engineer for Kubernetes during his time at Google.

With this, we’ll have three of the four Kubernetes co-founders onstage to talk about the five-year-old project.

Before joining the Kuberntes efforts, Hockin worked on internal Google projects like Borg and Omega, as well as the Linux kernel. On the Kubernetes project, he worked on core features and early design decisions involving networking, storage, node, multi-cluster, resource isolation and cluster sharing.

While his colleagues Craig McLuckie and Joe Beda decided to parlay their work on Kubernetes into a startup, Heptio, which they then successfully sold to VMware for about $550 million, Burns took a different route and joined the Microsoft Azure team three years ago.

I can’t think of a better group of experts to talk about the role that Kubernetes is playing in reshaping how enterprise build software.

If you want a bit of a preview, here is my conversation with McLuckie, Hockin and Microsoft’s Gabe Monroy about the history of the Kubernetes project.

Early-Bird tickets are now on sale for $249; students can grab a ticket for just $75. Book your tickets here before prices go up.


By Frederic Lardinois

Tara.ai, which uses machine learning to spec out and manage engineering projects, nabs $10M

Artificial intelligence has become an increasingly important component of how a lot of technology works; now it’s also being applied to how technologists themselves work. Today, one of the startups building such a tool has raised some capital, Tara.ai, a platform that uses machine learning to help an organization get engineering projects done — from identifying and predicting the work that will need to be tackled, to sourcing talent to execute that, and then monitoring the project of that project — has raised a Series A of $10 million to continue building out its platform.

The funding for the company cofounded by Iba Masood (she is now CEO) and Syed Ahmed comes from an interesting group of investors that point to Tara’s origins, as well as how it sees its product developing over time.

The round was led by Aspect Ventures (the female-led firm that puts a notable but not exclusive emphasis on female-founded startups) with participation also from Slack, by way of its Slack Fund. Previous investors Y Combinator and Moment Ventures also participated in the round. (Y Combinator provides an avenue to companies from its cohorts to help them source their Series A rounds, and Tara.ai went through this process.)

Tara.ai was originally founded as Gradberry out of Y Combinator, with its initial focus on using an AI platform for organizations to evaluate and help source engineering talent: Tara.ai was originally that name of its AI engine.

(The origin of how Masood and Ahmed identified this problem was through their own direct experience: both were engineering grads from the American University of Sharjah in the U.A.E. that had problems getting hired because no one had ever heard of their university. Even so, they had won an MIT-affiliated startup competition in Morocco and relocated to Boston. The idea with Gradberry was to cut through the big names and focus just on what people could do.)

Masood and Syed (who eventually got married) eventually realised that using that engine to evaluate the wider challenges of executing engineering projects came as a natural progression once the team started digging into the challenges and identifying what actually needed to be solved.

A study that Tara conducted across some 5,000 projects found that $66 billion dollars were identified as “lost” due to projects running past the expected completion time, lack of adequate talent and just overall poor planning.

“We realised that recruiting was actually the final decision you make, not the first, and we wanted to be involved earlier in the decision-making process,” Masood said in an interview. “We saw a much bigger opportunity looking not at the people, but the whole project.”

In action, that means that Tara.ai is used not just to scope out the nature of the problem that needed to be solved, or the goal that an organization wanted to achieve; it is also used to suggest which frameworks will need to be used to execute on that goal, and then suggest a timeline to follow.

Then, it starts to evaluate a company’s own staff expertise, along with that from other recruiting platforms, to figure out which people to source from within the company. Eventually, that will also be complemented with sourcing information from outside the organization — either contractors or new hires.

Masood noted that a large proportion of users in the tech world today use Jira and platforms like it to manage projects. While there are some tools in Jira to help plan out projects better, Tara is proposing its platform as a kind of virtual project manager, or an assistant to an existing project manager, to conceive of the whole project, not just help with the admin of getting it done.

Notably, right now she says that some 75% of Tara.ai’s users — customers include Cisco, Orange Silicon Valley and Mower Digital — are “not technical,” meaning they themselves do not ship or use code. “This helps them understand what could be considered and the dependencies that can be expected out of a project,” she notes.

Lauren Kolodny, the partner at Aspect who led the investment, said that one of the things that stood out for her, in fact, with Tara.ai, was precisely how it could be applied exactly in those kinds of scenarios.

Today, tech is such a fundamental part of how a lot of businesses operate, but that doesn’t mean that every business is natively a technology one (think here of food and beverage companies as an example, or government agencies). In those cases, these companies would have traditionally had to turn to outside consultants to identify opportunities, and then build and potentially long-term operate whatever the solutions become. Now there is an opportunity to rethink how technology is used in these kinds of organizations.

“Projects have been hacked together from multiple systems, not really built in combination,” Kolodny said of how much development happens at these traditional businesses. “We are really excited about the machine learning scoping and mapping of internal and external talent, which is looking to be particularly important as traditional enterprises are required to get level with newer businesses, and the amount of talent they need to execute on these projects becomes challenging.”

Tara.ai’s next steps will involve essentially taking the building blocks of what you can think of as a very power talent and engineering project search engine, and making it more powerful. That will include integrating databases of external consultants and figuring out how best to have these in tandem with internal teams while keeping them working well together. And soon to come also will be bug prediction: how to identify these before they arise in a project.

The Slack investment is also a notable nod to what direction Tara.ai will take. Masood said that Slack was one of three “big tech” companies interested in investing in this round, and she and Syed chose Slack because from what they could see of its existing and target customers, many were already using it and some have already started requesting closer collaboration so that events in one could come up as updates in the other.

“Our largest customers are heavy Slack users and they are already having conversations in Slack related to projects in Tara.ai,” she said. “W are tackling the scoping element and now seeing how to link up even command line interfaces between the two.”

She noted that this does not rule out closer integrations with communications and other platforms that people use on a daily basis to get their work done: the idea is to become a tool to work better overall.


By Ingrid Lunden

Synergy Research finds enterprise SaaS revenue hits $100B run rate, led by Microsoft, Salesforce

In its most recent report, Synergy Research, a company that monitors cloud marketshare, found that enterprise SaaS revenue passed the $100 billion run rate this quarter. The market was led by Microsoft and Salesforce.

It shouldn’t be a surprise at this point that these two enterprise powerhouses come in at the top. Microsoft reported $10.1 billion in Productivity and Business Processes revenue, which includes Office 365, the Dynamics line and LinkedIn, the company it bought in 2016 for $26.2 billion. That $10.1 billion accounted for top spot with 17 percent

Salesforce was next with around 12 percent. It announced $3.74 billion in revenue in its most recent earnings statement with Service Cloud alone accounting for $1.02 billion in revenue, crossing that billion dollar mark for the first time.

Adobe came in third, good for around 10 percent market share, with $2.74 billion in revenue for its most recent report. Digital Media, which includes Creative Cloud and Document Cloud, accounted for the vast majority of the revenue with $1.8 billion. SAP and Oracle complete the top companies

SaaS Q119

A growing market

While that number may seem low, given we are 20 years into the development of the SaaS market, it is still a significant milestone, not to be dismissed lightly. As Synergy pointed out, while the market feels mature, if finds that SaaS revenue still accounts for just 20 percent of the overall enterprise software market. There’s still a long way to go, showing as with the infrastructure side of the market, things change much more slowly than we imagine, and the market is growing rapidly, as the impressive growth rates show.

“While SaaS growth rate isn’t as high as IaaS (Infrastructure as a Service) and PaaS (Platform as a Service), the SaaS market is substantially bigger and it will remain so until 2023. Synergy forecasts strong growth across all SaaS segments and all geographic regions,” the company wrote in its report.

Salesforce is the only one of the top five that was actually born in the cloud. Adobe, an early desktop software company, switched to cloud in 2013. Microsoft, of course, has been a desktop stalwart for many years before embracing the cloud over the last decade. SAP and Oracle are traditional enterprise software companies, born long before the cloud was even a concept, that began transitioning when the market began shifting.

Getting to a billion

Yet in spite of being late to the game, these numbers show that the market is still dominated by the old guard enterprise software companies and how difficult it is to achieve market dominance for companies born in the cloud. Salesforce emerged 20 years ago as an early cloud adherent, but of all of the enterprise SaaS companies that were started this century only ServiceNow and WorkDay show up in the Synergy list lumped in “the next 10.”

That’s not to say there aren’t SaaS companies making some serious money, just not quite as much as the top players to this point. Jason Lemkin, CEO and founder at SaaStr, a company that invests in and supports enterprise SaaS companies, says a lot of companies are close to that $1 billion goal than you might think, and he’s optimistic that we are going to see more.

“We will have at least 100 companies top $1 billion in ARR, probably many more. It is just math. Almost everyone IPO’ing [SaaS company] has 120-140% revenue retention. That will compound $100 million or $200 million to $1 billion. The only question is when,” he told TechCrunch.

SaaS revenue numbers by company

Chart courtesy of SaasStr

He adds, that annualized numbers are very close behind ARR numbers and it won’t take long to catch up. Yet as we have seen with some of the companies on this list, it’s still not easy to get there.

It’s hard to develop a billion dollar SaaS company, and it takes time and patience, and perhaps some strategic acquisitions to get there, but the market trajectory continues to move upward. It will likely only grow stronger as more companies move to software in the cloud, and that bodes well for many of the players in this market, even those that didn’t show up on Synergy’s chart.


By Ron Miller

We’re talking Kubernetes at TC Sessions: Enterprise with Google’s Aparna Sinha and VMware’s Craig McLuckie

Over the past five years, Kubernetes has grown from a project inside of Google to an open source powerhouse with an ecosystem of products and services, attracting billions of dollars in venture investment. In fact, we’ve already seen some successful exits, including one from one of our panelists.

On September 5th at TC Sessions: Enterprise, we’re going to be discussing the rise of Kubernetes with two industry veterans. For starters we have Aparna Sinha, director of product management for Kubernetes and the newly announced Anthos product. Sinha was in charge of several early Kubernetes releases and has worked on the Kubernetes team at Google since 2016. Prior to joining Google, she had 15 years experience in enterprise software settings.

Craig McLuckie will also be joining the conversation. He’s one of the original developers of Kubernetes at Google. He went on to found his own Kubernetes startup, Heptio, with Joe Beda, another Google Kubernetes alum. They sold the company to VMware last year for $505 million after raising $33.5 million, according to Crunchbase data.

The two bring a vast reservoir of knowledge and will be discussing the history of Kubernetes, why Google decided to open source it and how it came to grow so quickly. Two other Kubernetes luminaries will be joining them. We’ll have more about them in another post soon.

Kubernetes is a container orchestration engine. Instead of developing large monolithic applications that sit on virtual machines, containers run a small part of the application. As the components get smaller, it requires an orchestration layer to deliver the containers when needed and make them go away when they are not longer required. Kubernetes acts as the orchestra leader.

As Kubernetes, containerization and the cloud-native ethos it encompasses has grown, it has helped drive the enterprise shift to the cloud in general. If you can write your code once, and use it in the cloud or on prem, it means you don’t have to manage applications using different tool sets and that has had broad appeal for enterprises making the shift to the cloud.

TC Sessions: Enterprise (September 5 at San Francisco’s Yerba Buena Center) will take on the big challenges and promise facing enterprise companies today. TechCrunch’s editors will bring to the stage founders and leaders from established and emerging companies to address rising questions, like the promised revolution from machine learning and AI, intelligent marketing automation and the inevitability of the cloud, as well as the outer reaches of technology, like quantum computing and blockchain.

Tickets are now available for purchase on our website at the early-bird rate of $395; student tickets are just $245.

Student tickets are just $245 – grab them here.

We have a limited number of Startup Demo Packages available for $2,000, which includes four tickets to attend the event.

For each ticket purchased for TC Sessions: Enterprise, you will also be registered for a complimentary Expo Only pass to TechCrunch Disrupt SF on October 2-4.


By Ron Miller

Fellow raises $6.5M to help make managers better at leading teams and people

Managing people is perhaps the most challenging thing most people will have to learn in the course of their professional lives – especially because there’s no one ‘right’ way to do it. But Ottawa-based startup Fellow is hoping to ease the learning curve for new managers, and improve and reinforce the habits of experienced ones with their new people management platform software.

Fellow has raised $6.5 million in seed funding, from investors including Inovia Capital, Felicia Ventures, Garage Capital and a number of angels. The funding announcement comes alongside the announcement of their first customers, including Shopify (disclosure: I worked at Shopify when Fellow was implemented and was an early tester of this product, which is why I can can actually speak to how it works for users).

The Fellow platform is essentially a way to help team leads interact with their reports, and vice versa. It’s a feedback tool that you can use to collect insight on your team from across the company; it includes meeting supplemental suggestions and templates for one-on-ones, and even provides helpful suggestions like recommending you have a one-on-one when you haven’t in a while; and it all lives in the cloud, with integrations for other key workplace software like Slack that help it integrate with your existing flow.

Fellow co-founder and CEO Aydin Mirzaee and his co-founding team have previous experience building companies: They founded Fluidware, a survey software company, in 2008 and then sold it to SurveyMonkey in 2014. In growing the team to over 100 people, Mirzaee says they realized where there were gaps, both in his leadership team’s knowledge and in available solutions on the market.

“Starting the last company, we were in our early 20s, and like the way that we used to learn different practices was by using software, like if you use the Salesforce, and you know nothing about sales, you’ll learn some things about sales,” Mirzaee told me in an interview. “If you don’t know about marketing, use Marketo, and you’ll learn some things about marketing. And you know, from our perspective, as soon as we started actually having some traction and customers and then hired some people, we just got thrown into it. So it was ‘Okay, now, I guess we’re managers.’ And then eventually we became managers of managers.”

Fellow Team Photo 2019

Mirzaee and his team then wondered why a tool like Salesforce or Marketo didn’t exist for management. “Why is it that when you get promoted to become a manager, there isn’t an equivalent tool to help you with that?” he said.

Concept in hand, Fellow set out to build its software, and what it came up with is a smartly designed, user-friendly platform that is accessible to anyone regardless of technical expertise or experience with management practice and training. I can attest to this first-hand, since I was a first-time manager using Fellow to lead a team during my time at Shopify – part of the beta testing process that helped develop the product into something that’s ready for broader release. I was not alone in my relative lack of management knowledge, Mirzaee said, and that’s part of why they saw a clear need for this product.

“The more we did research, the more we figured out that obviously, managers are really important,” he explained. “70% of customer engagements are due to managers, for instance. And when people leave companies, they tend to leave the manager, not the company. The more we dug into it the more it was clear that there truly was this management problem –  management crisis almost, and that nobody really had built a great tool for managers and their teams like.”

Fellow’s tool is flexible enough to work with specific management methodologies like setting SMART goals or OKRs for team members, and managers can use pre-set templates or build their own for things like setting meeting talking points, or gathering feedback from the colleagues of their reports.

Right now, Fellow is live with a number of clients including Shoify, Vidyard, Tulip, North and more, and it’s adding new clients who sign up on a case-by-case basis, but increasing the pace at which it onboard new customers. Mirzaee explained that it hopes to open sign ups entirely later this year.


By Darrell Etherington

Fungible raises $200 million led by SoftBank Vision Fund to help companies handle increasingly massive amounts of data

Fungible, a startup that wants to help data centers cope with the increasingly massive amounts of data produced by new technologies, has raised a $200 million Series C led by SoftBank Vision Fund, with participation from Norwest Venture Partners and its existing investors. As part of the round, SoftBank Investment Advisers senior managing partner Deep Nishar will join Fungible’s board of directors.

Founded in 2015, Fungible now counts about 200 employees and has raised more than $300 million in total funding. Its other investors include Battery Ventures, Mayfield Fund, Redline Capital and Walden Riverwood Ventures. Its new capital will be used to speed up product development. The company’s founders, CEO Pradeep Sindhu and Bertrand Serlet, say Fungible will release more information later this year about when its data processing units will be available and their on-boarding process, which they say will not require clients to change their existing applications, networking or server design.

Sindu previously founded Juniper Networks, where he held roles as chief scientist and CEO. Serlet was senior vice president of software engineering at Apple before leaving in 2011 and founding Upthere, a storage startup that was acquired by Western Digital in 2017. Sindu and Serlet describe Fungible’s objective as pivoting data centers from a “compute-centric” model to a data-centric one. While the company is often asked if they consider Intel and Nvidia competitors, they say Fungible Data Processing Units (DPU) complement tech, including central and graphics processing units, from other chip makers.

Sindhu describes Fungible’s DPUs as a new building block in data center infrastructure, allowing them to handle larger amounts of data more efficiently and also potentially enabling new kinds of applications. Its DPUs are fully programmable and connect with standard IPs over Ethernet local area networks and local buses, like the PCI Express, that in turn connect to CPUs, GPUs and storage. Placed between the two, the DPUs act like a “super-charged data traffic controller,” performing computations offloaded by the CPUs and GPUs, as well as converting the IP connection into high-speed data center fabric.

This better prepares data centers for the enormous amounts of data generated by new technology, including self-driving cars, and industries such as personalized healthcare, financial services, cloud gaming, agriculture, call centers and manufacturing, says Sindu.

In a press statement, Nishar said “As the global data explosion and AI revolution unfold, global computing, storage and networking infrastructure are undergoing a fundamental transformation. Fungible’s products enable data centers to leverage their existing hardware infrastructure and benefit from these new technology paradigms. We look forward to partnering with the company’s visionary and accomplished management team as they power the next generation of data centers.”


By Catherine Shu

Cathay Innovation leads Laiye’s $35M round to bet on Chinese enterprise IT

For many years, the boom and bust of China’s tech landscape have centered around consumer-facing products. As this space gets filled by Baidu, Alibaba, Tencent, and more recently Didi Chuxing, Meituan Dianping, and ByteDance, entrepreneurs and investors are shifting attention to business applications.

One startup making waves in China’s enterprise software market is four-year-old Laiye, which just raised a $35 million Series B round led by cross-border venture capital firm Cathay Innovation. Existing backers Wu Capital, a family fund, and Lightspeed China Partners, whose founding partner James Mi has been investing in every round of Laiye since Pre-A, also participated in this Series B.

The deal came on the heels of Laiye’s merger with Chinese company Awesome Technology, a team that’s spent the last 18 years developing Robotic Process Automation, a term for technology that lets organizations offload repetitive tasks like customer service onto machines. With this marriage, Laiye officially launched its RPA product UiBot to compete in the nascent and fast-growing market for streamlining workflow.

“There was a wave of B2C [business-to-consumer] in China, and now we believe enterprise software is about to grow rapidly,” Denis Barrier, co-founder and chief executive officer of Cathay Innovation, told TechCrunch over a phone interview.

Since launching in January, UiBot has collected some 300,000 downloads and 6,000 registered enterprise users. Its clients include major names such as Nike, Walmart, Wyeth, China Mobile, Ctrip and more.

Guanchun Wang, chairman and CEO of Laiye, believes there are synergies between AI-enabled chatbots and RPA solutions, as the combination allows business clients “to build bots with both brains and hands so as to significantly improve operational efficiency and reduce labor costs,” he said.

When it comes to market size, Barrier believes RPA in China will be a new area of growth. For one, Chinese enterprises, with a shorter history than those found in developed economies, are less hampered by legacy systems, which makes it “faster and easier to set up new corporate software,” the investor observed. There’s also a lot more data being produced in China given the population of organizations, which could give Chinese RPA a competitive advantage.

“You need data to train the machine. The more data you have, the better your algorithms become provided you also have the right data scientists as in China,” Barrier added.

However, the investor warned that the exact timing of RPA adoption by people and customers is always not certain, even though the product is ready.

Laiye said it will use the proceeds to recruit talents for research and development as well as sales of its RPA products. The startup will also work on growing its AI capabilities beyond natural language processing, deep learning, and reinforcement learning, in addition to accelerating commercialization of its robotic solutions across industries.


By Rita Liao

Amperity update give customers more control over CDP

The Customer Data Platform (CDP) has certainly been getting a lot of attention in marketing software circles over the last year as big dawgs like Salesforce and Adobe enter the fray, but Amperity, a Seattle-based startup, has been building a CDP solution since it launched in 2016, and today it announced some updates to give customers more control over the platform.

Chris Jones, chief product officer at Amperity, says this is an important step for the startup. “If you think about the evolution of our company, we started with an idea that turned into a [Marketing Data Platform], which was the engine that powered all of that, but that engine was largely operated by our delivery team. We’re now putting the power of that engine into the customers’ hands and giving them the full access to that,” Jones explained.

That is giving customers — which include Alaska Airlines, Nordstrom and The Gap — the power to control how the software works in the context of their companies, rather than using a black box approach where you have to use the software as delivered. He says that customers want the ability to start using the system to gain insights on their own.

One of the primary pieces in the newest version of Amperity to allow them to do that is Stitch, a tool that lets users pull together all of the interactions from a customer in a single view —  ingesting the data, sorting, deduplicating it and delivering a list of all the interactions a brand has had with a given customer. From there, they can use the new Customer 360 visualization to get a more graphical view of the data.

Amperity Stitch 2019

Amperity Stitch Screenshot: Amperity.

Jones says companies can use this data to help different groups within a company, whether marketing, sales or service, understand the customer better before or during an interaction. For example, a marketer can segment the data in a very granular way to find all of the regular customers who aren’t part of the company loyalty program, and deliver them an email listing all of the benefits of joining.

Amperity launched in 2016, and has raised $37 million across two rounds. Its most recent funding came in 2017, a $28 million investment led by Tiger Global Management, according to Crunchbase data.


By Ron Miller