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Datafold raises seed from NEA to keep improving the lives of data engineers
Data engineering is one of these new disciplines that has gone from buzzword to mission critical in just a few years. Data engineers design and build all the connections between sources of raw data (your payments information or ad-tracking data or what have you) and the ultimate analytics dashboards used by business executives and data scientists to make decisions. As data has exploded, so has their challenge of doing this key work, which is why a new set of tools has arrived to make data engineering easier, faster and better than ever.
One of those tools is Datafold, a YC-backed startup I covered just a few weeks ago as it was preparing for its end-of-summer Demo Day presentation.
Well, that Demo Day presentation and the company’s trajectory clearly caught the eyes of investors, since the startup locked in $2.1 million in seed funding from NEA, the company announced this morning.
As I wrote back in August:
With Datafold, changes made by data engineers in their extractions and transformations can be compared for unintentional changes. For instance, maybe a function that formerly returned an integer now returns a text string, an accidental mistake introduced by the engineer. Rather than wait until BI tools flop and a bunch of alerts come in from managers, Datafold will indicate that there is likely some sort of problem, and identify what happened.
Definitely read our profile if you want to learn more about the product and origin story.
Not a whole heck of a lot has changed over the past few weeks (some new features, some new customers), but with more money in its billfold, Datafold is going to keep on growing, hiring and taking on the world of data engineering.
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Abacus.AI raises another $22M and launches new AI modules
AI startup RealityEngines.AI changed its name to Abacus.AI in July. At the same time, it announced a $13 million Series A round. Today, only a few months later, it is not changing its name again, but it is announcing a $22 million Series B round, led by Coatue, with Decibel Ventures and Index Partners participating as well. With this, the company, which was co-founded by former AWS and Google exec Bindu Reddy, has now raised a total of $40.3 million.
Abacus co-founder Bindu Reddy, Arvind Sundararajan and Siddartha Naidu. Image Credits: Abacus.AI
In addition to the new funding, Abacus.AI is also launching a new product today, which it calls Abacus.AI Deconstructed. Originally, the idea behind RealityEngines/Abacus.AI was to provide its users with a platform that would simplify building AI models by using AI to automatically train and optimize them. That hasn’t changed, but as it turns out, a lot of (potential) customers had already invested into their own workflows for building and training deep learning models but were looking for help in putting them into production and managing them throughout their lifecycle.
“One of the big pain points [businesses] had was, ‘look, I have data scientists and I have my models that I’ve built in-house. My data scientists have built them on laptops, but I don’t know how to push them to production. I don’t know how to maintain and keep models in production.’ I think pretty much every startup now is thinking of that problem,” Reddy said.
Image Credits: Abacus.AI
Since Abacus.AI had already built those tools anyway, the company decided to now also break its service down into three parts that users can adapt without relying on the full platform. That means you can now bring your model to the service and have the company host and monitor the model for you, for example. The service will manage the model in production and, for example, monitor for model drift.
Another area Abacus.AI has long focused on is model explainability and de-biasing, so it’s making that available as a module as well, as well as its real-time machine learning feature store that helps organizations create, store and share their machine learning features and deploy them into production.
As for the funding, Reddy tells me the company didn’t really have to raise a new round at this point. After the company announced its first round earlier this year, there was quite a lot of interest from others to also invest. “So we decided that we may as well raise the next round because we were seeing adoption, we felt we were ready product-wise. But we didn’t have a large enough sales team. And raising a little early made sense to build up the sales team,” she said.
Reddy also stressed that unlike some of the company’s competitors, Abacus.AI is trying to build a full-stack self-service solution that can essentially compete with the offerings of the big cloud vendors. That — and the engineering talent to build it — doesn’t come cheap.
Image Credits: Abacus.AI
It’s no surprise then that Abacus.AI plans to use the new funding to increase its R&D team, but it will also increase its go-to-market team from two to ten in the coming months. While the company is betting on a self-service model — and is seeing good traction with small- and medium-sized companies — you still need a sales team to work with large enterprises.
Come January, the company also plans to launch support for more languages and more machine vision use cases.
“We are proud to be leading the Series B investment in Abacus.AI, because we think that Abacus.AI’s unique cloud service now makes state-of-the-art AI easily accessible for organizations of all sizes, including start-ups,” Yanda Erlich, a p artner at Coatue Ventures told me. “Abacus.AI’s end-to-end autonomous AI service powered by their Neural Architecture Search invention helps organizations with no ML expertise easily deploy deep learning systems in production.”
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Grouparoo snares $3M seed to build open source customer data integration framework
Creating a great customer experience requires a lot of data from a variety of sources, and pulling that disparate data together has captured the attention of companies and big and small from Salesforce and Adobe to Segment and Klaviyo. Today, Grouparoo, a new startup from three industry vets is the next company up with an open source framework designed to make it easier for developers to access and make use of customer data.
The company announced a $3 million seed investment led by Eniac Ventures and Fuel Capital with participation from Hack VC, Liquid2, SCM Advisors and several unnamed angel investors.
Grouparoo CEO and co-founder Brian Leonard says that his company has created this open source customer data framework based on his own experience and difficulty getting customer data into the various tools he has been using since he was technical founder at TaskRabbit in 2008.
“We’re an open source data framework that helps companies easily sync their customer data from their database or warehouse to all of the SaaS tools where they need it. [After you] install it, you teach it about your customers, like what properties are important in each of those profiles. And then it allows you to segment them into the groups that matter,” Leonard explained.
This could be something like high earners in San Francisco along with names and addresses. Grouparoo can grab this data and transfer it to a marketing tool like Marketo or Zendesk and these tools could then learn who your VIP customers are.
For now the company is just the three founders Leonard, CTO Evan Tahler and COO Andy Jih, and while he wasn’t ready to commit to how many people he might hire in the next 12 months, he sees it being less than 10. At this early stage, the three co-founders have already been considering how to build a diverse and inclusive company, something he helped contribute to while he was at TaskRabbit.
“So, coming from [what we built at TaskRabbit] and starting something new, it’s important to all three of us to start [building a diverse company] from the beginning, and especially combined with this notion that we’re building something open source. We’ve been talking a lot about being open about our culture and what’s important to us,” he said.
TaskRabbit also comes into play in their investment where Fuel GP Leah Solivan was also founder of TaskRabbit. “Grouparoo is solving a real and acute issue that companies grapple with as they scale — giving every member of the team access to the data they need to drive revenue, acquire customers and improve real-time decision making. Brian, Andy and Evan have developed an elegant solution to an issue we experienced firsthand at TaskRabbit,” she said.
For now the company is taking an open source approach to build a community around the tool. It is still pre-revenue, but the plan is to find a way to build something commercial on top of the open source tooling. They are considering an open core license where they can add features or support or offer the tool as a service. Leonard says that is something they intend to work out in 2021.
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CloudBolt announces $35M Series B debt/equity investment to help manage hybrid cloud
CloudBolt, a Bethesda, Maryland startup that helps companies manage hybrid cloud environments, announced a $35 million Series B investment today. It was split between $15 million in equity investment and $20 million in debt.
Insight Partners provided the equity side of the equation, while Hercules Capital and Bridge Bank supplied the venture debt. The company has now raised more than $61 million in equity and debt, according to Crunchbase data.
CEO Jeff Kukowski says that his company helps customers with cloud and DevOps management including cost control, compliance and security. “We help [our customers] take advantage of the fact that most organizations are already hybrid cloud, multi cloud and/or multi tool. So you have all of this innovation happening in the world, and we make it easier for them to take advantage of it,” he said.
As he sees it, the move to cloud and DevOps, which was supposed to simplify everything, has actually created new complexity, and the tools his company sells are designed to help companies reduce some of that added complexity. What they do is provide a way to automate, secure and optimize their workloads, regardless of the tools or approach to infrastructure they are using.
The company closed the funding round at the end of last quarter and put it to work with a couple of acquisitions — Kumolus and SovLabs — to help accelerate and fill in the road map. Kumolus, which was founded in 2011 and raised $1.7 million, according to Crunchbase, really helps CloudBolt extend its vision from managing on premises to the public cloud.
SovLabs was an early-stage startup working on a very specific problem creating a framework for extending VMware automation.
CloudBolt currently has 170 employees. While Kukowski didn’t want to get specific about the number of additional employees he might be adding to that in the next 12 months, he says that as he does, he thinks about diversity in three ways.
“One is just pure education. So we as a company regularly meet and educate on issues around inclusion, social justice and diversity. We also recruit with those ideas in mind. And then we also have a standing committee within the company that continues to look at issues not only for discussion, but quite frankly for investment in terms of time and fundraising,” he said.
Kukowski says that going remote because of COVID has allowed the company to hire from anywhere, but he still looks forward to a time when he can meet face-to-face with his employees and customers, and sees that as always being part of his company’s culture.
CloudBolt was founded in 2012 and has around 200 customers. Kukowski says that the company is growing between 40% and 50% year over year, although he wouldn’t share specific revenue numbers.
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Marketing automation platform Klaviyo scores $200M Series C on $4.15B valuation
Boston-based marketing automation firm Klaviyo wants to change the way marketers interact with data, giving them direct access to their data and their customers. It believes that makes it easier to customize the messages and produce better results. Investors apparently agree, awarding the company a $200 million Series C on a hefty $4.15 billion valuation today.
The round was led by Accel, with help from Summit Partners. It comes on the heels of last year’s $150 million Series B, and brings the total raised to $385.5 million, according the company. Accel’s Ping Li will also be joining the company board under the terms of today’s announcement.
Marketing automation and communication takes on a special significance as we find ourselves in the midst of this pandemic and companies need to find ways to communicate in meaningful ways with customers who can’t come into brick and mortar establishments. Company CEO and co-founder Andrew Bialecki says that his company’s unique use of data helps in this regard.
“I think our success is because we are a hybrid customer data and marketing platform. We think about what it takes to create these owned experiences. They’re very contextual and you need all of that customer data, not some of it, all of it, and you need that to be tightly coupled with how you’re building customer experiences,” Bialecki explained.
Andrew Bialecki, CEO and co-founder at Klaviyo Image Credits: Klaviyo
He believes that by providing a platform of this scope that combines the data, the ability to customize messages and the use of machine learning to keep improving that, it will help them compete with the largest platforms. In fact his goal is to help companies understand that they don’t have to give up their customer data to Amazon, Google and Facebook.
“The flip side of that is growing through Amazon where you give up all your customer data, or Facebook or Google where you kind of are delegated to wherever their algorithms decide where you get to show up,” he said. With Klaviyo, the company retains its own data, and Ping Li, who is leading the investment at Accel, says that it where the e-commerce market is going.
“So the question is, is there a tool that allows you to do that as easily as going on Facebook and Google, and I think that’s the vision and the promise that Klaviyo is delivering on,” Li said. He believes that this will allow their customers to actually build that kind of fidelity with their customers by going directly to them, instead of through a third-party intermediary.
The company has seen some significant success, with 50,000 customers in 125 countries along with that lofty valuation. The customer number has doubled year over year, even during the economic malaise brought on by the pandemic.
Today, the company has 500 employees with plans to double that in the next year. As he grows his company, Bialecki believes diversity is not just the right thing to do, it’s also smart business. “I think the competitive advantages that tech companies are going to have going forward, especially for the tech companies that are not the leaders today, but [could be] leaders in the coming decades, it’s because they have the most diverse teams and inclusive culture and those are both big focuses for us,” he said.
As they move forward flush with this cash, the company wants to continue to build out the platform, giving customers access to a set of tools that allow them to know their own customers on an increasingly granular level, while delivering more meaningful interactions. “It’s all about accelerating product development and getting into new markets,” Bialecki said. They certainly have plenty of runway to do that now.
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Cato Network snags $130M Series E on $1B valuation as cloud wide area networking thrives
Cato Networks has spent the last five years building a cloud-based wide area network that lets individuals connect to network resources regardless of where they are. When the pandemic hit, and many businesses shifted to work from home, it was the perfect moment for technology like this. Today, the company was rewarded with a $130 million Series E investment on $1 billion valuation.
Lightspeed Venture Partners led the round, with participation from new investor Coatue and existing investors Greylock, Aspect Ventures/Acrew Capital, Singtel Innov8 and Shlomo Kramer (who is the co-founder and CEO of the company). The company reports it has now raised $332 million since inception.
Kramer is a serial entrepreneur. He co-founded Check Point Software, which went public in 1996, and Imperva, which went public in 2011 and was later acquired by private equity firm Thoma Bravo in 2018. He helped launch Cato in 2015. “In 2015, we identified that the wide area networks (WANs), which is a tens of billions of dollars market, was still built on the same technology stack […] that connects physical locations, and appliances that protect physical locations and was primarily sold by the telcos and MSPs for many years,” Kramer explained.
The idea with Cato was to take that technology and redesign it for a mobile and cloud world, not one that was built for the previous generation of software that lived in private data centers and was mostly accessed from an office. Today they have a cloud-based network of 60 Points of Presence (PoPs) around the world, giving customers access to networking resources and network security no matter where they happen to be.
The bet they made was a good one because the world has changed, and that became even more pronounced this year when COVID hit and forced many people to work from home. Now suddenly having the ability to sign in from anywhere became more important than ever, and they have been doing well, with 2x growth in ARR this year (although he wouldn’t share specific revenue numbers).
As a company getting Series E funding, Kramer doesn’t shy away from the idea of eventually going public, especially since he’s done it twice before, but neither is he ready to commit any time table. For now, he says the company is growing rapidly, with almost 700 customers — and that’s why it decided to take such a large capital influx right now.
Cato currently has 270 employees, with plans to grow to 400 by the end of next year. He says that Cato is a global company with headquarters in Israel, where diversity involves religion, but he is trying to build a diverse and inclusive culture regardless of the location.
“My feeling is that inclusion needs to happen in the earlier stages of the funnel. I’m personally involved in these efforts, at the educational sector level, and when students are ready to be recruited by startups, we are already competitive, and if you look at our employee base it’s very diverse,” Kramer said.
With the new funds, he plans to keep building the company and the product. “There’s a huge opportunity and we want to move as fast as possible. We are also going to make very big investments on the engineering side to take the solution and go to the next level,” he said.
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Cooper raises $2M to build a professional network centered on introductions
In a period of social distancing, making new professional connections feels harder than ever. So Amsterdam-based Cooper is building a network that’s all about making and receiving introductions.
“Everything that happens in the network is based on the foundation of introductions,” CEO Robert Gaal told me. “You should never get an unwanted message, and there’s no such thing as a connection request, because it’s not necessary if you have an introduction.”
The startup is launching internationally today and announcing that it has raised $2 million in seed funding.
Gaal (who co-founded the company with CTO Emiel van Liere) described Cooper as “a private professional network that’s not about how many connections do I have, it’s about bringing the people that you already trust into a circle.”
That’s in contrast with existing professional networking sites, which are most useful as “directories” of online résumés, and usually emphasize the quantity of connections, rather than the quality. (I’ll admit that on LinkedIn, I’m connected to a bunch of people I barely know.)
So Cooper tries to take the opposite approach, limiting users’ connections to people they really know. To do this, it can pull data from a user’s online calendar, and it also provides them with a personal invite code that they can share with their professional contacts.
Image Credits: Cooper
Users then post requests or opportunities, which are viewable by their connections and by friends of friends, who can offer to make useful introductions via email or in Cooper itself.
In fact, Gaal said that during the initial beta test, multiple people have successfully used Cooper to find new jobs — sometimes after pandemic-related layoffs, which they’re comfortable sharing with their inner circle but don’t want to broadcast to the world at large.
“There’s more discovery, more trust and you can reinvent other things on top of that — what the résumé is, what mentorship is — if you get trust right first,” he said.
Of course, simply sharing a calendar invite with someone doesn’t really mean you trust them or know them well. Cooper could eventually start looking at other measures that indicate your “connectivity” with someone, like how often you email with them, Gaal said — but the first step is simply recreating the professional circle in which you feel comfortable saying, “Oh, you’re looking for a job? My friend is hiring.”
Yes, those kinds of conversations are already happening offline, but he noted that most of us can only remember “a handful of people” at once. Cooper is making that “marketplace” much more visible and easy to track.
The startup doesn’t sell ads or user data. Instead, Gaal hopes to make money by charging membership fees for features like customizing your profile or promoting your request more broadly.
The startup’s seed funding was led by Comcast Ventures, with participation from LocalGlobe and 468 Capital.
“At a time when the ability to connect is limited, Cooper is building a professional network fostering meaningful and substantive connections,” said Daniel Gulati, founding partner at Forecast Fund and former managing director at Comcast Ventures, in a statement. “We are excited to support the team on their journey ahead.”
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Gretel announces $12M Series A to make it easier to anonymize data
As companies work with data, one of the big obstacles they face is making sure they are not exposing personally identifiable information (PII) or other sensitive data. It usually requires a painstaking manual effort to strip out that data. Gretel, an early-stage startup, wants to change that by making it faster and easier to anonymize data sets. Today the company announced a $12 million Series A led by Greylock. The company has now raised $15.5 million.
Gretel co-founder and CEO Alex Watson says that his company was founded to make it simpler to anonymize data and unlock data sets that were previously out of reach because of privacy concerns.
“As a developer, you want to test an idea or build a new feature, and it can take weeks to get access to the data you need. Then essentially it boils down to getting approvals to get started, then snapshotting a database, and manually removing what looks like personal data and hoping that you got everything.”
Watson, who previously worked as a GM at AWS, believed that there needed to be a faster and more reliable way to anonymize the data, and that’s why he started Gretel. The first product is an open-source, synthetic machine learning library for developers that strips out personally identifiable information.
“Developers use our open source library, which trains machine learning models on their sensitive data, then as that training is happening we are enforcing something called differential privacy, which basically ensures that the model doesn’t memorize details about secrets for individual people inside of the data,” he said. The result is a new artificial data set that is anonymized and safe to share across a business.
The company was founded last year, and they have actually used this year to develop the open-source product and build an open-source community around it. “So our approach and our go-to-market here is we’ve open-sourced our underlying libraries, and we will also build a SaaS service that makes it really easy to generate synthetic data and anonymized data at scale,” he said.
As the founders build the company, they are looking at how to build a diverse and inclusive organization, something that they discuss at their regular founders’ meetings, especially as they look to take these investment dollars and begin to hire additional senior people.
“We make a conscious effort to have diverse candidates apply, and to really make sure we reach out to them and have a conversation, and that’s paid off, or is in the process of paying off I would say, with the candidates in our pipeline right now. So we’re excited. It’s tremendously important that we avoid group think that happens so often,” he said.
The company doesn’t have paying customers, but the plan is to build off the relationships it has with design partners and begin taking in revenue next year. Sridhar Ramaswamy, the partner at Greylock who is leading the investment, says that his firm is placing a bet on a pre-revenue company because he sees great potential for a service like this.
“We think Gretel will democratize safe and controlled access to data for the whole world the way GitHub democratized source code access and control,” Ramaswamy said.
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Computer vision startup Chooch.ai scores $20M Series A
Chooch.ai, a startup that hopes to bring computer vision more broadly to companies to help them identify and tag elements at high speed, announced a $20 million Series A today.
Vickers Venture Partners led the round with participation from 212, Streamlined Ventures, Alumni Ventures Group, Waterman Ventures and several other unnamed investors. Today’s investment brings the total raised to $25.8 million, according to the company.
“Basically we set out to copy human visual intelligence in machines. That’s really what this whole journey is about,” CEO and co-founder Emrah Gultekin explained. As the company describes it, “Chooch Al can rapidly ingest and process visual data from any spectrum, generating AI models in hours that can detect objects, actions, processes, coordinates, states, and more.”
Chooch is trying to differentiate itself from other AI startups by taking a broader approach that could work in any setting, rather than concentrating on specific vertical applications. Using the pandemic as an example, Gultekin says you could use his company’s software to identify everyone who is not wearing a mask in the building or everyone who is not wearing a hard hat at a construction site.
With 22 employees spread across the U.S., India and Turkey, Chooch is building a diverse company just by virtue of its geography, but as it doubles the workforce in the coming year, it wants to continue to build on that.
“We’re immigrants. We’ve been through a lot of different things, and we recognize some of the issues and are very sensitive to them. One of our senior members is a person of color and we are very cognizant of the fact that we need to develop that part of our company,” he said. At a recent company meeting, he said that they were discussing how to build diversity into the policies and values of the company as they move forward.
The company currently has 18 enterprise clients and hopes to use the money to add engineers, data scientists and begin to build out a worldwide sales team to continue to build the product and expand its go-to-market effort.
Gultekin says that the company’s unusual name comes from a mix of the words choose and search. He says that it is also an old Italian insult. “It means dummy or idiot, which is what artificial intelligence is today. It’s a poor reflection of humanity or human intelligence in humans,” he said. His startup aims to change that.
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Harbr raises $38.5M to help enterprises exchange and share big data troves securely
Organizations today are sitting on mountains of data that they amass and use in their own businesses, but many are also looking to share those troves with other parties to expand their prospects — a model that comes with challenges (privacy and data protection being two key ones); and, these days (due to COVID-19 and the push to more digital transformation), with urgency; but also big rewards if you can pull it off well.
Today, a new London startup called Harbr, which has built a secure platform to enable big data exchange, is announcing a big round of funding to tap into that demand.
The company has raised $38.5 million in a Series A round of funding, just six months since emerging from stealth mode. It plans to use the money to hire more people to meet the demand of serving more enterprise customers, and for R&D.
Led jointly by new backers Dawn Capital and Tiger Global Management, the round also had participation from past investors Mike Chalfen, Boldstart Ventures, Crane Venture Partners, Backed and Seedcamp, alongside UiPath’s founder and CEO Daniel Dines and head of strategy Brandon Deer. Harbr has now raised over $50 million, and it’s not disclosing its valuation.
Harbr has been around since 2017, but it only came out of stealth mode earlier this year, in May. Its approach has mirrored that of a lot of other enterprise startups that spend a long time building their product under wraps. Identifying the market opportunity when it was still nascent, Harbr then worked directly (and quietly) with enterprises to figure out what they needed and built it, before launching it as a commercial product (with customers already in hand).
“Back in 2017 no one was talking about enterprise data exchanges,” Harbr’s CSO Anthony Cosgrove (who co-founded the company with Gary Butler, the CEO) told me in an interview. “So we worked with big companies to understand their needs and built Harbr based on that.”
Customers include those in financial and enterprise services such as Moody’s Analytics and WinterCorp, as well as governments. Cosgrove noted that nearly 100% of Harbr’s clients are in the U.S., where the startup’s chairman Leo Spiegel is based. Spiegel is also an investor, with an extensive enterprise data services resume to his name.
“This is a team that has worked together for a long time,” Spiegel said in an interview. “Gary [the CEO] and I have worked together for 20 years before Harbr. I have been in data a very long time, and we have a lot of relationships with U.S. companies.” (That is one sign of why this enterprise startup has raised a substantial amount of funding so early in its public life.)
Cosgrove, an MBE, himself has a background in banking and before that U.K. government.
The platform today provides enterprises with a way to tap into data that an organization may already have in data lakes and warehouses, which it already uses for analytics and business intelligence. The idea is to make that data ready and secure for enterprise data exchange, either with other parts of your own large organization, or with third parties. That involves creating a “clean room”, providing tools for making it accessible by third parties, and potentially turning it into a data marketplace, if that is your goal.
Image Credits: Harbr
The challenges that Harbr addresses come from a couple of different angles. The first of these is technical: putting data troves from disparate sources into a format that can be usable by others. The second of these is commercial: creating something that you can then provide to others, but also making that marketplace findable and usable. The third of these is security.
Cosgrove said that he doesn’t think of Harbr as a security company first, but he points out that these days this has become as much of a concern (if not more) than simply making a data product usable. Being able to protect your data as valuable IP is important, but on top of that, you have the roles of privacy and data protection.
These have moved from being fringe concerns to a priority for many users, and, in an increasing number of cases, a legal requirement. So, as companies look for ways to tap into the big data opportunity while keeping those principles in mind, they are looking for companies built with privacy and data protection from the ground up.
“We’re really focused on helping people to treat data as a product. They bring assets into a platform and turn them into data products that are easy to consume, use and merge,” said Cosgrove. “We see security as a by-product of that: you have to consider security as part of it.” Harbr the name is a play on Harbor, which itself is a reference to safe harbor principles and regulations.
Harbr is not the only company looking at this opportunity. InfoSum, also out of the U.K., is also tackling the concept of a privacy-first approach to federated data, providing a way to share data across organizations without compromising data protection in any way. DataFleets out of the Bay Area is another startup also building a platform and tools to help enterprises with this challenge and opportunity.
“For data to become truly powerful, we need more automation and collaboration. Today, human efforts are consumed by finding and preparing data, rather than focused on high-value activities that drive real productivity gains,” said Evgenia Plotnikova, partner at Dawn Capital, in a statement. “Harbr is in the vanguard of companies changing this reality, and we are incredibly excited to be partnering with them. Customers we’ve spoken to find Harbr’s enterprise data exchange transformative, and their engagement across Fortune 1000 companies substantiates this.”
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