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How to ensure data quality in the era of Big Data
A little over a decade has passed since The Economist warned us that we would soon be drowning in data. The modern data stack has emerged as a proposed life-jacket for this data flood — spearheaded by Silicon Valley startups such as Snowflake, Databricks and Confluent.
Today, any entrepreneur can sign up for BigQuery or Snowflake and have a data solution that can scale with their business in a matter of hours. The emergence of cheap, flexible and scalable data storage solutions was largely a response to changing needs spurred by the massive explosion of data.
Currently, the world produces 2.5 quintillion bytes of data daily (there are 18 zeros in a quintillion). The explosion of data continues in the roaring ‘20s, both in terms of generation and storage — the amount of stored data is expected to continue to double at least every four years. However, one integral part of modern data infrastructure still lacks solutions suitable for the Big Data era and its challenges: Monitoring of data quality and data validation.
Let me go through how we got here and the challenges ahead for data quality.
The value vs. volume dilemma of Big Data
In 2005, Tim O’Reilly published his groundbreaking article “What is Web 2.0?”, truly setting off the Big Data race. The same year, Roger Mougalas from O’Reilly introduced the term “Big Data” in its modern context — referring to a large set of data that is virtually impossible to manage and process using traditional BI tools.
Back in 2005, one of the biggest challenges with data was managing large volumes of it, as data infrastructure tooling was expensive and inflexible, and the cloud market was still in its infancy (AWS didn’t publicly launch until 2006). The other was speed: As Tristan Handy from Fishtown Analytics (the company behind dbt) notes, before Redshift launched in 2012, performing relatively straightforward analyses could be incredibly time-consuming even with medium-sized data sets. An entire data tooling ecosystem has since been created to mitigate these two problems.
The emergence of the modern data stack (example logos and categories). Image Credits: Validio
Scaling relational databases and data warehouse appliances used to be a real challenge. Only 10 years ago, a company that wanted to understand customer behavior had to buy and rack servers before its engineers and data scientists could work on generating insights. Data and its surrounding infrastructure was expensive, so only the biggest companies could afford large-scale data ingestion and storage.
The challenge before us is to ensure that the large volumes of Big Data are of sufficiently high quality before they’re used.
Then came a (Red)shift. In October 2012, AWS presented the first viable solution to the scale challenge with Redshift — a cloud-native, massively parallel processing (MPP) database that anyone could use for a monthly price of a pair of sneakers ($100) — about 1,000x cheaper than the previous “local-server” setup. With a price drop of this magnitude, the floodgates opened and every company, big or small, could now store and process massive amounts of data and unlock new opportunities.
As Jamin Ball from Altimeter Capital summarizes, Redshift was a big deal because it was the first cloud-native OLAP warehouse and reduced the cost of owning an OLAP database by orders of magnitude. The speed of processing analytical queries also increased dramatically. And later on (Snowflake pioneered this), they separated computing and storage, which, in overly simplified terms, meant customers could scale their storage and computing resources independently.
What did this all mean? An explosion of data collection and storage.
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Britive grabs $10M Series A to build automated multi-cloud permissions tool
Britive, an early-stage startup that is trying to bring privileged access control to a multi-cloud world, announced a $10 million Series A this morning. Crosslink Capital led the investment, with participation from previous investors Upfront Ventures and One Way Ventures.
The company helps automate permissioning across multiple cloud vendors and software services, whether that involves a human or a machine seeking permission. In a world of increasing automation, it’s often a machine seeking access, and that makes permissioning all the more critical, says Britive co-founder and CEO Art Poghosyan.
“What we offer is an automated approach to access, [moving from] what we call statically granted access, which constantly gets added all the time […] to completely ‘just in time access’,” he said. That means that after you define a policy, it sets the ground rules for access, and grants it based on that policy for the time required, and nothing more, whether you’re a human or a machine.
In today’s complex development, world that could take many forms, including API keys and secrets. “Yes, sometimes those things are granted to a human actor like a DevOps engineer, but a lot of times it also needs to be granted — quote, unquote — to a Terraform script or to GitHub to go and build out application infrastructure or deploy an application,” he said.
The company currently has 40 employees, a number that Poghosyan expects to double in the next 12 months as he puts this capital to work. As a first-generation Armenian immigrant, Poghosyan says that he takes diversity and inclusion extremely seriously as he hires more employees.
“We’ve always been committed — in this business and our previous startup — to providing equal opportunities to talented people, no matter what background they come from. I’m really proud that even as a small company — we’re 40 at the moment — we have more than 50% of our workforce which comes from ethnic minority groups,” he said.
Britive, which is based in Los Angeles, launched in 2018 and brought its first product to market in 2019. The company raised a $5.4 million seed round last July, which it announced in September, making the total raised so far approximately $15.4 million.
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Google Cloud launches Vertex AI, a new managed machine learning platform
At Google I/O today Google Cloud announced Vertex AI, a new managed machine learning platform that is meant to make it easier for developers to deploy and maintain their AI models. It’s a bit of an odd announcement at I/O, which tends to focus on mobile and web developers and doesn’t traditionally feature a lot of Google Cloud news, but the fact that Google decided to announce Vertex today goes to show how important it thinks this new service is for a wide range of developers.
The launch of Vertex is the result of quite a bit of introspection by the Google Cloud team. “Machine learning in the enterprise is in crisis, in my view,” Craig Wiley, the director of product management for Google Cloud’s AI Platform, told me. “As someone who has worked in that space for a number of years, if you look at the Harvard Business Review or analyst reviews, or what have you — every single one of them comes out saying that the vast majority of companies are either investing or are interested in investing in machine learning and are not getting value from it. That has to change. It has to change.”
Image Credits: Google
Wiley, who was also the general manager of AWS’s SageMaker AI service from 2016 to 2018 before coming to Google in 2019, noted that Google and others who were able to make machine learning work for themselves saw how it can have a transformational impact, but he also noted that the way the big clouds started offering these services was by launching dozens of services, “many of which were dead ends,” according to him (including some of Google’s own). “Ultimately, our goal with Vertex is to reduce the time to ROI for these enterprises, to make sure that they can not just build a model but get real value from the models they’re building.”
Vertex then is meant to be a very flexible platform that allows developers and data scientist across skill levels to quickly train models. Google says it takes about 80% fewer lines of code to train a model versus some of its competitors, for example, and then help them manage the entire lifecycle of these models.
Image Credits: Google
The service is also integrated with Vizier, Google’s AI optimizer that can automatically tune hyperparameters in machine learning models. This greatly reduces the time it takes to tune a model and allows engineers to run more experiments and do so faster.
Vertex also offers a “Feature Store” that helps its users serve, share and reuse the machine learning features and Vertex Experiments to help them accelerate the deployment of their models into producing with faster model selection.
Deployment is backed by a continuous monitoring service and Vertex Pipelines, a rebrand of Google Cloud’s AI Platform Pipelines that helps teams manage the workflows involved in preparing and analyzing data for the models, train them, evaluate them and deploy them to production.
To give a wide variety of developers the right entry points, the service provides three interfaces: a drag-and-drop tool, notebooks for advanced users and — and this may be a bit of a surprise — BigQuery ML, Google’s tool for using standard SQL queries to create and execute machine learning models in its BigQuery data warehouse.
“We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create an industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production,” said Andrew Moore, vice president and general manager of Cloud AI and Industry Solutions at Google Cloud. “We are very proud of what we came up with in this platform, as it enables serious deployments for a new generation of AI that will empower data scientists and engineers to do fulfilling and creative work.”
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Styra, the startup behind Open Policy Agent, nabs $40M to expand its cloud-native authorization tools
As cloud-native apps continue to become increasingly central to how organizations operate, a startup founded by the creators of a popular open-source tool to manage authorization for cloud-native application environments is announcing some funding to expand its efforts at commercializing the opportunity.
Styra, the startup behind Open Policy Agent, has picked up $40 million in a Series B round of funding led by Battery Ventures. Also participating are previous backers A. Capital, Unusual Ventures and Accel; and new backers CapitalOne Ventures, Citi Ventures and Cisco Investments. Styra has disclosed CapitalOne is also one of its customers, along with e-commerce site Zalando and the European Patent Office.
Styra is sitting on the classic opportunity of open source technology: scale and demand.
OPA — which can be used across Kubernetes, containerized and other environments — now has racked up some 75 million downloads and is adding some 1 million downloads weekly, with Netflix, Capital One, Atlassian and Pinterest among those that are using OPA for internal authorization purposes. The fact that OPA is open source is also important:
“Developers are at the top of the food chain right now,” CEO Bill Mann said in an interview, “They choose which technology on which to build the framework, and they want what satisfies their requirements, and that is open source. It’s a foundational change: if it isn’t open source it won’t pass the test.”
But while some of those adopting OPA have hefty engineering teams of their own to customize how OPA is used, the sheer number of downloads (and potential active users stemming from that) speak to the opportunity for a company to build tools to help manage that and customize it for specific use cases in cases where those wanting to use OPA may lack the resources (or appetite) to build and scale custom implementations themselves.
As with many of the enterprise startups getting funded at the moment, Styra has proven itself in particular over the last year, with the switch to remote work, workloads being managed across a number of environments, and the ever-persistent need for better security around what people can and should not be using. Authorization is a particularly acute issue when considering the many access points that need to be monitored: as networks continue to grow across multiple hubs and applications, having a single authorization tool for the whole stack becomes even more important.
Styra said that some of the funding will be used to continue evolving its product, specifically by creating better and more efficient ways to apply authorization policies by way of code; and by bringing in more partners to expand the scope of what can be covered by its technology.
“We are extremely impressed with the Styra team and the progress they’ve made in this dynamic market to date,” said Dharmesh Thakker, a general partner at Battery Ventures. “Everyone who is moving to cloud, and adopting containerized applications, needs Styra for authorization—and in the light of today’s new, remote-first work environment, every enterprise is now moving to the cloud.” Thakker is joining the board with this round.
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With $21M in funding, Code Ocean aims to help researchers replicate data-heavy science
Every branch of science is increasingly reliant on big data sets and analysis, which means a growing confusion of formats and platforms — more than inconvenient, this can hinder the process of peer review and replication of research. Code Ocean hopes to make it easier for scientists to collaborate by making a flexible, shareable format and platform for any and all data sets and methods, and it has raised a total of $21 million to build it out.
Certainly there’s an air of “Too many options? Try this one!” to this (and here’s the requisite relevant XKCD). But Code Ocean isn’t creating a competitor to successful tools like Jupyter or GitLab or Docker — it’s more of a small-scale container platform that lets you wrap up all the necessary components of your data and analysis in an easily shared format, whatever platform they live on natively.
The trouble appears when you need to share what you’re doing with another researcher, whether they’re on the bench next to you or at a university across the country. It’s important for replication purposes that data analysis — just like any other scientific technique — be done exactly the same way. But there’s no guarantee that your colleague will use the same structures, formats, notation, labels and so on.
That doesn’t mean it’s impossible to share your work, but it does add a lot of extra steps as would-be replicators or iterators check and double check that all the methods are the same, that the same versions of the same tools are being used in the same order, with the same settings, and so on. A tiny inconsistency can have major repercussions down the road.
Turns out this problem is similar in a way to how many cloud services are spun up. Software deployments can be as finicky as scientific experiments, and one solution to this is containers, which like tiny virtual machines include everything needed to accomplish a computing task, in a portable format compatible with many different setups. The idea is a natural one to transfer to the research world, where you can tie up all in one tidy package the data, the software used and the specific techniques and processes used to reach a given result. That, at least, is the pitch Code Ocean offers for its platform and “Compute Capsules.”
Image Credits: Code Ocean
Say you’re a microbiologist looking at the effectiveness of a promising compound on certain muscle cells. You’re working in R, writing in RStudio on an Ubuntu machine, and your data are such and such collected during an in vitro observation. While you would naturally declare all this when you publish, there’s no guarantee anyone has an Ubuntu laptop with a working RStudio setup around, so even if you provide all the code, it might be for nothing.
If, however, you put it on Code Ocean, like this, it makes all the relevant code available, and capable of being inspected and run unmodified with a click, or being fiddled with if a colleague is wondering about a certain piece. It works through a single link and web app, cross platform, and can even be embedded on a webpage like a document or video. (I’m going to try to do that below, but our backend is a little finicky. The capsule itself is here.)
More than that, though, the Compute Capsule can be repurposed by others with new data and modifications. Maybe the technique you put online is a general purpose RNA sequence analysis tool that works as long as you feed it properly formatted data, and that’s something others would have had to code from scratch in order to take advantage of some platforms.
Well, they can just clone your capsule, run it with their own data and get their own results in addition to verifying your own. This can be done via the Code Ocean website or just by downloading a zip file of the whole thing and getting it running on their own computer, if they happen to have a compatible setup. A few more example capsules can be found here.
Image Credits: Code Ocean
This sort of cross-pollination of research techniques is as old as science, but modern data-heavy experimentation often ends up siloed because it can’t easily be shared and verified even though the code is technically available. That means other researchers move on, build their own thing and further reinforce the silo system.
Right now there are about 2,000 public compute capsules on Code Ocean, most of which are associated with a published paper. Most have also been used by others, either to replicate or try something new, and some, like ultra-specific open source code libraries, have been used by thousands.
Naturally there are security concerns when working with proprietary or medically sensitive data, and the enterprise product allows the whole system to run on a private cloud platform. That way it would be more of an internal tool, and at major research institutions that in itself could be quite useful.
Code Ocean hopes that by being as inclusive as possible in terms of codebases, platforms, compute services and so on will make for a more collaborative environment at the cutting edge.
Clearly that ambition is shared by others, as the the company has raised $21 million so far, $6 million of which was in previously undisclosed investments and $15 million in an A round announced today. The A round was led by Battery Ventures, with Digitalis Ventures, EBSCO and Vaal Partners participating as well as numerous others.
The money will allow the company to further develop, scale and promote its platform. With luck they’ll soon find themselves among the rarefied air often breathed by this sort of savvy SaaS — necessary, deeply integrated and profitable.
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New Relic’s business remodel will leave new CEO with work to do
For Bill Staples, the freshly appointed CEO at New Relic, who takes over on July 1, yesterday was a good day. After more than 20 years in the industry, he was given his own company to run. It’s quite an accomplishment, but now the hard work begins.
On the positive side of the equation, New Relic is one of the market leaders in the application performance monitoring space.
Lew Cirne, New Relic’s founder and CEO, who is stepping into the executive chairman role, spent the last several years rebuilding the company’s platform and changing its revenue model, aiming for what he hopes is long-term success.
“All the work we did in re-platforming our data tier and our user interface and the migration to consumption business model, that’s not so we can be a $1 billion New Relic — it’s so we can be a multibillion-dollar New Relic. And we are willing to forgo some short-term opportunity and take some short-term pain in order to set us up for long-term success,” Cirne told TechCrunch after yesterday’s announcement.
On the positive side of the equation, New Relic is one of the market leaders in the application performance monitoring space. Gartner has the company in third place behind Dynatrace and Cisco AppDynamics, and ahead of DataDog. While the Magic Quadrant might not be gospel, it does give you a sense of the relative market positions of each company in a given space.
New Relic competes in the application performance monitoring business, or APM for short. APM enables companies to keep tabs on the health of their applications. That allows them to cut off problems before they happen, or at least figure out why something is broken more quickly. In a world where users can grow frustrated quickly, APM is an important part of the customer experience infrastructure. If your application isn’t working well, customers won’t be happy with the experience and quickly find a rival service to use.
In addition to yesterday’s CEO announcement, New Relic reported earnings. TechCrunch decided to dig into the company’s financials to see just what challenges Staples may face as he moves into the corner office. The resulting picture is one that shows a company doing hard work for a more future-aligned product map and business model, albeit one that may not generate the sort of near-term growth that gives Staples ample breathing room with public investors.
Near-term growth, long-term hopes
Making long-term bets on a company’s product and business model future can be difficult for Wall Street to swallow in the near term. But such work can garner an incredibly lucrative result; Adobe is a good example of a company that went from license sales to subscription incomes. There are others in the midst of similar transitions, and they often take growth penalties as older revenues are recycled in favor of a new top line.
So when we observe New Relic’s recent result and guidance for the rest of the year, we’re more looking for future signs of life than quick gains.
Starting with the basics, New Relic had a better-than-anticipated quarter. An analysis showed the company’s profit and adjusted profit per share both beat expectations. And the company announced $173 million in total revenue, around $6 million more than the market expected.
So, did its shares rise? Yes, but just 5%, leaving them far under their 52-week high. Why such a modest bump after so strong a report? The company’s guidance, we reckon. Per New Relic, it expects its current quarter to bring 6% to 7% growth compared to the year-ago period. And it anticipates roughly 6% growth for its current fiscal year (its fiscal 2022, which will conclude at the end of calendar Q1 2022).
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New Relic is bringing in a new CEO as founder Lew Cirne moves to executive chairman role
At the market close this afternoon ahead of its earnings report, New Relic, an applications performance monitoring company, announced that founder Lew Cirne would be stepping down as CEO and moving into the executive chairman role.
At the same time, the company announced that Bill Staples, a software industry vet, would be taking over as CEO. Staples joined the company last year as chief product officer before being quickly promoted to president and chief product officer in January. Today’s promotion marks a rapid rise through the ranks to lead the company.
Cirne said when he began thinking about stepping into that executive chairman role, he was looking for a trusted partner to take his place as CEO, and he found that in Staples. “Every founder’s dream is for the company to have a long-lasting impact, and then when the time is right for them to step into a different role. To do that, you need a trusted partner that will lead with the right core values and bring to the table what the company needs as an active partner. And so I’m really excited to move to the executive chairman role [and to have Bill be that person],” Cirne told me.
For Staples, who has worked at large organizations throughout his career, this opportunity to lead the company as CEO is the pinnacle of his long career arc. He called the promotion humbling, but one he believes he is ready to take on.
“This is a new chapter for me, a new experience to be a CEO of a public company with a billion-dollar-plus value valuation, but I think the experience I have in the seat of our customers, as well as the experience I’ve had at Microsoft and Adobe, very large companies with very large stakes running large organizations has really prepared me well for this next phase,” Staples said.
Cirne says he plans to take some time off this summer to give Staples the space to grow as the leader of the company without being in the shadow of the founder and long-time CEO, but he plans to come back and work with him as the executive chairman moving forward come the fall.
As he steps into this new role, Staples will be taking over. “Certainly I have a lot to learn about what it takes to be a great CEO, but I also come in with a lot of confidence that I’ve managed organizations at scale. You know I’ve been part of P&Ls that were many times larger than New Relic, and I have confidence that I can help New Relic grow as a company.”
Hope Cochran, managing director at Madrona Ventures, who is also the chairman of the New Relic Board, said that the board fully backs of the decision to pass the CEO torch from Cirne to Staples. “With the foundation that Lew built and Bill’s leadership, New Relic has a very bright future ahead and a clear path to accelerate growth as the leader in observability,” she said in a statement.
The official transition is scheduled to take place on July 1st.
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BluBracket nabs $12M Series A to expand source code security platform
BluBracket, an early-stage startup that focuses on keeping source code repositories secure, even in distributed environments, announced a $12 million Series A today.
Evolution Equity Partners led the round, with help from existing investors Unusual Ventures, Point72 Ventures, SignalFire and Firebolt Ventures. When combined with the $6.5 million seed round we reported on last year, the company has raised $19.5 million so far.
As you might imagine, being able to secure code in distributed environments came in quite handy when much of the technology world moved to work from home last year. BluBracket co-founder and COO Ajay Arora says that the pandemic forced many organizations to look carefully at how they secured their code base.
“So the anxiety organizations had about making sure their source code was secure and that it wasn’t leaking, from that standpoint that was a big tailwind for us. [With companies moving to a] completely remote development workforce, and with code being so important to their business as intellectual property, they needed to get that visibility into what vulnerabilities were there,” Arora explained.
Even prior to the pandemic, the company was finding they were gaining traction with developers and security pros by using a bottom up approach offering a free community version of the software. Having that free version as a top of the funnel for their sales motion was also helpful once COVID hit full force.
Today, Arora says the company has multiple thousands of developers, DevOps and SecOps users across dozens of organizations using the company’s suite of products. The big reference company right now is Priceline, but he says there are other big names that would prefer not to be public about it.
The company currently has 30 employees, with plans to double that by the end of the year, and he says that building diversity and inclusion into the hiring process is part of the company’s core values, and part of how the executive team gets measured.
“We’re big believers in putting our money where our mouth is and one of the OKRs for me and my co-founder [CEO Prakash Linga], or one of the things that we’re actually compensated for, is how well we are doing in building diversity and inclusion on the team,” he said. He adds that the recruiters that they are using are also being held to the same standard when it comes to providing a diverse set of candidates for open positions.
The company launched in 2018 and the founding team came from Vera, a startup that helped secure documents in motion. That company was sold to HelpSystems in December 2020 after Arora and Linga had left to start BluBracket.
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AWS releases tool to open source that turns on-prem software into SaaS
AWS announced today that it’s releasing a tool called AWS SaaS Boost as open source distributed under the Apache 2.0 license. The tool, which was first announced at the AWS re:Invent conference last year, is designed to help companies transform their on-prem software into cloud-based software as a service.
In the charter for the software, the company describes its mission this way: “Our mission is to create a community-driven suite of extensible building blocks for Software-as-a-Service (SaaS) builders. Our goal is to foster an open environment for developing and sharing reusable code that accelerates the ability to deliver and operate multi-tenant SaaS solutions on AWS.”
What it effectively does is provide the tools to turn the application into one that lets you sign up users and let them use the app in a multi-tenant cloud context. Even though it’s open source, it is designed to get you to move your application into the AWS system where you can access a number of AWS services such as AWS CloudFormation, AWS Identity and Access Management (IAM), Amazon Route 53, Elastic Load Balancing, AWS Lambda (Amazon’s serverless tool), and Amazon Elastic Container Service (Amazon’s Kubernetes Service). Although presumably you could use alternative services, if you were so inclined.
By making it open source, it gives companies that would need this kind of service access to the source code, giving them a comfort level and an ability to contribute to the project to expand upon the base product and give back to the community. That makes it a win for users who get flexibility and the benefit of a community behind the tool, and a win for AWS, which gets that community working on the tool to improve and enhance it over time.
“Our objective with AWS SaaS Boost is to get great quality software based on years of experience in the hands of as many developers and companies as possible. Because SaaS Boost is open source software, anyone can help improve it. Through a community of builders, our hope is to develop features faster, integrate with a wide range of SaaS software, and to provide a high quality solution for our customers regardless of company size or location,” Amazon’s Adrian De Luca wrote in a blog post announcing the intent to open source SaaS Boost.
This announcement comes just a couple of weeks after the company open-sourced its Deep Racer device software, which runs its machine-learning fueled mini race cars. That said, Amazon has had a complex relationship with the open source in the past couple of years, where companies like MongoDB, Elastic and CockroachDB have altered their open-source licenses to prevent Amazon from making their own hosted versions of these software packages.
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Cisco to acquire Indy startup Socio to bring hybrid events to Webex
Cisco announced this morning that it intends to acquire Indianapolis-based startup Socio, which helps plan hybrid in-person and virtual events. The two companies did not share the purchase price.
Socio provides a missing hybrid event management component for the company to add to its Webex platform. The goal appears to be to combine this with the recent purchase of Slido and transform Webex from an application mostly for video meetings into a more comprehensive event platform.
“As part of Cisco Webex’s vision to deliver inclusive, engaging and intelligent meeting and event experiences, the acquisition of Socio Labs complements Cisco’s recent acquisition of Slido, an industry-leading audience engagement tool, which together will create a comprehensive, cost-effective and easy-to-use event management solution [ … ],” the company explained in a statement.
The impact of the pandemic was not lost on Cisco, and it’s clear that as we can foresee going back to live events, having the ability to combine it with a virtual experience means that you can open up your event to a much wider audience beyond those who can attend in person. That’s likely not something that’s going away, even after we get past COVID.
Jeetu Patel, SVP and GM for security and collaboration at Cisco says that the future of work is going to be hybrid, whether it’s for work meetings or larger events and Cisco is making this acquisition to expand the use cases for the Webex platform.
“Whether it’s a 1:1 call, a small team huddle, a group meeting or a large external event, we want to remove friction and help people engage with each other in an inclusive manner. Slido allows for every voice to be heard — even when you’re not talking. Socio allows for getting your voice heard by a large number of people,” Patel said.
And the company believes that Webex provides the platform to make it all happen. “It’s a really potent combination of technology to make human interactions more engaging, no matter the type of conversation,” he added.
Brent Leary, founder and principal analyst at CRM Essentials, says that it’s a smart move to take advantage of the changing events landscape and that this acquisition helps make Cisco a serious player in this space.
“As we get closer to a post-pandemic world, the need to create hybrid event experiences is going to quickly accelerate as people start venturing out to attend physical events. So having an event stack that combines local event support/participation with tools to integrate a broader virtual audience will be the future of event management,” Leary told me.
Socio was founded in 2016 and raised around $7 million in investment capital, according to Crunchbase data. It has a prestigious list of enterprise customers that includes Microsoft, Google, Jet Blue, Greenpeace, PepsiCo and Hyundai.
The deal is expected to close in Q4 of FY2021. When it does close, Socio’s 135 employees will be joining Cisco. The plan is to incorporate Socio’s tooling into the Webex platform while allowing it to continue as a stand-alone product, according to a Cisco spokesperson.
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