Nov
20
2020
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Onit acquires legal startup McCarthyFinch to inject AI into legal workflows

Onit, a workflow software company based in Houston, announced this week that it has acquired 2018 TechCrunch Disrupt Battlefield alum McCarthyFinch. Onit intends to use the startup’s AI skills to beef up its legal workflow software offerings.

The companies did not share the purchase price.

After evaluating a number of companies in the space, Onit focused on McCarthyFinch, which gives it an artificial intelligence component the company’s legal workflow software had been lacking. “We evaluated about a dozen companies in the AI space and dug in deep on six of them. McCarthyFinch stood out from the pack. They had the strongest technology and the strongest team,” Eric M. Elfman, CEO and co-founder of Onit told TechCrunch.

The company intends to inject that AI into its existing Aptitude workflow platform. “Part of what really got me excited about McCarthyFinch was the very first conversation I had with their CEO, Nick Whitehouse. They considered themselves an AI platform, which complemented our approach and our workflow automation platform, Aptitude,” Elfman said.

McCarthyFinch CEO and co-founder Whitehouse says the startup was considering whether to raise more money or look at being acquired earlier this year when Onit made its interest known. At first, he wasn’t really interested in being acquired and was hoping to go the partner route, but over time that changed.

“I was very much on the partner track, and was probably quite dismissive to begin with because I was quite focused on that partner strategy. But as we talked, all egos aside, it just made sense [to move to acquisition talks],” Whitehouse said.

The talks heated up in May and the deal officially closed last week. With Onit headquartered in Houston and McCarthyFinch in New Zealand the negotiations and meetings all happened on Zoom. The two companies’ principals have never met in person. The plan is for McCarthyFinch to stay in place, even after the pandemic ends. Whitehouse expects to make a trip to Houston whenever it is safe to do so.

Whitehouse says his experience with Battlefield has had a huge influence on him. “Just the insights that we got through Battlefield, the coaching that we got, those things have stuck with me and they’ll stick with me for the rest of my life,” he said.

The company had 45 customers and 17 employees at the time of the acquisition. It raised US$5 million along the way. Now it becomes part of Onit as the journey continues.

Nov
20
2020
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Webinar December 9: How to Measure Linux Performance Wrong

How to Measure Linux Performance Wrong

How to Measure Linux Performance WrongDon’t miss out! Join Peter Zaitsev, Percona CEO, as he discusses Linux Performance measurement.

In this webinar, Peter will look at typical mistakes measuring or interpreting Linux Performance. He’ll discuss whether you should use LoadAvg to assess if your CPU is overloaded or Disk Utilization to see if your disks are overloaded. In addition, he’ll delve into a number of other metrics that are often misunderstood and/or misused. He’ll close the webinar with suggestions for better ways to measure Linux Performance.

Please join Peter Zaitsev, Percona CEO, on Wednesday, December 9 at 11:30 AM EST for his webinar “How to Measure Linux Performance Wrong”.

Register for Webinar

If you can’t attend, sign up anyway and we’ll send you the slides and recording afterward.

Nov
19
2020
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FireEye acquires Respond Software for $186M, announces $400M investment

The security sector is ever frothy and acquisitive. Just last week Palo Alto Networks grabbed Expanse for $800 million. Today it was FireEye’s turn, snagging Respond Software, a company that helps customers investigate and understand security incidents, while reducing the need for highly trained (and scarce) security analysts. The deal has closed, according to the company.

FireEye had its eye on Respond’s Analyst product, which it plans to fold into its Mandiant Solutions platform. Like many companies today, FireEye is focused on using machine learning to help bolster its solutions and bring a level of automation to sorting through the data, finding real issues and weeding out false positives. The acquisition gives them a quick influx of machine learning-fueled software.

FireEye sees a product that can help add speed to its existing tooling. “With Mandiant’s position on the front lines, we know what to look for in an attack, and Respond’s cloud-based machine learning productizes our expertise to deliver faster outcomes and protect more customers,” Kevin Mandia, FireEye CEO said in a statement announcing the deal.

Mike Armistead, CEO at Respond, wrote in a company blog post that today’s acquisition marks the end of a four-year journey for the startup, but it believes it has landed in a good home with FireEye. “We are proud to announce that after many months of discussion, we are becoming part of the Mandiant Solutions portfolio, a solution organization inside FireEye,” Armistead wrote.

While FireEye was at it, it also announced a $400 million investment from Blackstone Tactical Opportunities fund and ClearSky (an investor in Respond), giving the public company a new influx of cash to make additional moves like the acquisition it made today.

It didn’t come cheap. “Under the terms of its investment, Blackstone and ClearSky will purchase $400 million in shares of a newly designated 4.5% Series A Convertible Preferred Stock of FireEye (the ‘Series A Preferred’), with a purchase price of $1,000 per share. The Series A Preferred will be convertible into shares of FireEye’s common stock at a conversion price of $18.00 per share,” the company explained in a statement. The stock closed at $14.24 today.

Respond, which was founded in 2016, raised $32 million, including a $12 million Series A in 2017 led by CRV and Foundation Capital and a $20 million Series B led by ClearSky last year, according to Crunchbase data.

Nov
19
2020
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Amazon S3 Storage Lens gives IT visibility into complex S3 usage

As your S3 storage requirements grow, it gets harder to understand exactly what you have, and this especially true when it crosses multiple regions. This could have broad implications for administrators, who are forced to build their own solutions to get that missing visibility. AWS changed that this week when it announced a new product called Amazon S3 Storage Lens, a way to understand highly complex S3 storage environments.

The tool provides analytics that help you understand what’s happening across your S3 object storage installations, and to take action when needed. As the company describes the new service in a blog post, “This is the first cloud storage analytics solution to give you organization-wide visibility into object storage, with point-in-time metrics and trend lines as well as actionable recommendations,” the company wrote in the post.

Amazon S3 Storage Lens Console

Image Credits: Amazon

The idea is to present a set of 29 metrics in a dashboard that help you “discover anomalies, identify cost efficiencies and apply data protection best practices,” according to the company. IT administrators can get a view of their storage landscape and can drill down into specific instances when necessary, such as if there is a problem that requires attention. The product comes out of the box with a default dashboard, but admins can also create their own customized dashboards, and even export S3 Lens data to other Amazon tools.

For companies with complex storage requirements, as in thousands or even tens of thousands of S3 storage instances, who have had to kludge together ways to understand what’s happening across the systems, this gives them a single view across it all.

S3 Storage Lens is now available in all AWS regions, according to the company.

Nov
19
2020
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A Blog Shamelessly Bribing You to Review Percona Monitoring and Management!

Review Percona Monitoring and Management

We would love you to help us spread the word about Percona Monitoring and Management (PMM) to make sure even more people are aware of it and adopting it. And we are not afraid to offer (modest) bribes!

  • If you already use PMM please write an independent review of its pros and cons on the AWS and/or Azure product page.
  • If you don’t use PMM, please install and try this software to see how it can help you improve the monitoring of your database environment.

For those of you new to Percona Monitoring and Management, it is a best-of-breed open source database monitoring solution. It helps you reduce complexity, optimize performance, and improve the security of your business-critical database environments, no matter where they are located or deployed.

Percona Monitoring and Management can be used to monitor a wide range of open source database environments:

  • Amazon RDS MySQL
  • Amazon Aurora MySQL
  • MySQL
  • MongoDB
  • Percona XtraDB Cluster
  • PostgreSQL
  • ProxySQL

Percona Monitoring and Management is now available for fast installation on two marketplaces – AWS and Azure. We are keen to increase the number of PMM reviews on those pages so that potential users can get an independent view of how it will benefit their business.

We will send you special Percona Swag for every verified review you post before December 20, 2020. 

Just send us a link to your testimonial or a screenshot, and we will send you the latest in Percona gear – 100% free, and shipped to you anywhere in the world!

You can choose from any of these gift options:

review percona monitoring and management

Any meaningful review (ie: not just a star rating) earns swag; whether it is positive, negative, or mixed. We believe in open source and learning from our users, so please write honestly about your experience using Percona Monitoring and Management.

To claim your swag, email the Percona community team and include:

  1. The screenshot or link to your review
  2. Your postal address
  3. Your phone number (for delivery use only, never for marketing)
  4. If you have chosen a sweatshirt or hoodie please also let us know what color (grey, black, or blue), and your size.
  5. We only accept feedback from PMM users who are using AWS and Azure marketplaces.
  6. Be sure to submit your review before December 20, 2020!

It’s that simple!

So, please visit the AWS and Azure Percona Monitoring and Management download pages to add your review today!

AWS

Azure

Nov
19
2020
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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.

Nov
18
2020
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Will Zoom Apps be the next hot startup platform?

When Zoom announced Zapps last month — the name has since been wisely changed to Zoom Apps — VC Twitter immediately began speculating that Zoom could make the leap from successful video conferencing service to becoming a launching pad for startup innovation. It certainly caught the attention of former TechCrunch writer and current investor at Signal Fire Josh Constine, who tweeted that “Zoom’s new ‘Zapps’ app platform will crush or king-make lots of startups.”

As Zoom usage exploded during the pandemic and it became a key tool for business and education, the idea of using a video conferencing platform to build a set of adjacent tooling makes a lot of sense. While the pandemic will come to an end, we have learned enough about remote work that the need for tools like Zoom will remain long after we get the all-clear to return to schools and offices.

We are already seeing promising startups like Mmhmm, Docket and ClassEdu built with Zoom in mind, and these companies are garnering investor attention. In fact, some investors believe Zoom could be the next great startup ecosystem.

Moving beyond video conferencing

Salesforce paved the way for Zoom more than a decade ago when it opened up its platform to developers and later launched the AppExchange as a distribution channel. Both were revolutionary ideas at the time. Today we are seeing Zoom building on that.

Jim Scheinman, founding managing partner at Maven Ventures and an early Zoom investor (who is credited with naming the company) says he always saw the service as potentially a platform play. “I’ve been saying publicly, before anyone realized it, that Zoom is the next great open platform on which to build billion-dollar businesses,” Scheinman told me.

He says he talked with Zoom leadership about opening up the platform to external developers several years ago before the IPO. It wasn’t really a priority at that point, but COVID-19 pushed the idea to the forefront. “Post-IPO and COVID, with the massive growth of Zoom on both the enterprise and consumer side, it became very clear that an app marketplace is now a critical growth area for Zoom, which creates a huge opportunity for nascent startups to scale,” he said.

Jason Green, founder and managing director at Emergence Capital (another early investor in Zoom and Salesforce) agreed: “Zoom believes that adding capabilities to the core Zoom platform to make it more functional for specific use cases is an opportunity to build an ecosystem of partners similar to what Salesforce did with AppExchange in the past.”

Building the platform

Before a platform can succeed with developers, it requires a critical mass of users, a bar that Zoom has clearly passed. It also needs a set of developer tools to connect to the various services on the platform. Then the substantial user base acts as a ready market for the startup. Finally, it requires a way to distribute those creations in a marketplace.

Zoom has been working on the developer components and brought in industry veteran Ross Mayfield, who has been part of two collaboration startups in his career, to run the developer program. He says that the Zoom Apps development toolset has been designed with flexibility to allow developers to build applications the way that they want.

For starters, Zoom has created WebViews, a way to embed functionality into an application like Zoom. To build WebViews in Zoom, the company created a JS Kit, which in combination with existing Zoom APIs enables developers to build functionality inside the Zoom experience. “So we’re giving developers a lot of flexibility in what experience they create with WebViews plus using our very rich set of API’s that are part of the existing platform and creating some new API’s to create the experience,” he said.

Nov
18
2020
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IBM is acquiring APM startup Instana as it continues to expand hybrid cloud vision

As IBM transitions from software and services to a company fully focussed on hybrid cloud management, it announced  its intention to buy Instana, an applications performance management startup with a cloud native approach that fits firmly within that strategy.

The companies did not reveal the purchase price.

With Instana, IBM can build on its internal management tools, giving it a way to monitor containerized environments running Kubernetes. It hopes by adding the startup to the fold it can give customers a way to manage complex hybrid and multi-cloud environments.

“Our clients today are faced with managing a complex technology landscape filled with mission-critical applications and data that are running across a variety of hybrid cloud environments – from public clouds, private clouds and on-premises,” Rob Thomas, senior vice president for cloud and data platform said in a statement. He believes Instana will help ease that load, while using machine learning to provide deeper insights.

At the time of the company’s $30 million Series C in 2018, TechCrunch’s Frederic Lardinois described the company this way. “What really makes Instana stand out is its ability to automatically discover and monitor the ever-changing infrastructure that makes up a modern application, especially when it comes to running containerized microservices.” That would seem to be precisely the type of solution that IBM would be looking for.

As for Instana, the founders see a good fit for the two companies, especially in light of the Red Hat acquisition in 2018 that is core to IBM’s hybrid approach. “The combination of Instana’s next generation APM and Observability platform with IBM’s Hybrid Cloud and AI technologies excited me from the day IBM approached us with the idea of joining forces and combining our technologies,” CEO Mirko Novakovic wrote in a blog post announcing the deal.

Indeed, in a recent interview IBM CEO Arvind Krishna told CNBC’s Jon Fortt, that they are betting the farm on hybrid cloud management with Red Hat at the center. When you combine that with the decision to spin out the company’s managed infrastructure services business, this purchase shows that they intend to pursue every angle

“The Red Hat acquisition gave us the technology base on which to build a hybrid cloud technology platform based on open-source, and based on giving choice to our clients as they embark on this journey. With the success of that acquisition now giving us the fuel, we can then take the next step, and the larger step, of taking the managed infrastructure services out. So the rest of the company can be absolutely focused on hybrid cloud and artificial intelligence,” Krishna told CNBC.

Instana, which is based in Chicago with offices in Munich, was founded in 2015 in the early days of Kubernetes and the startup’s APM solution has evolved to focus more on the needs of monitoring in a cloud native environment. The company raised $57 million along the way with the most recent round being that Series C in 2018.

The deal per usual is subject to regulatory approvals, but the company believes it should close in the next few months.

Nov
18
2020
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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.”

 

Nov
18
2020
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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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