Personal blog of Yzmir Ramirez

Talkdesk, a provider of cloud-based contact center software, announced $230 million in new Series D funding that more than triples the company’s valuation to $10 billion, Talkdesk founder CEO Tiago Paiva confirmed to TechCrunch.

New investors Whale Rock Capital Management, TI Platform Management and Alpha Square Group came on board for this round and were joined by existing investors Amity Ventures, Franklin Templeton, Top Tier Capital Partners, Viking Global Investors and Willoughby Capital.

Talkdesk uses artificial intelligence and machine learning to improve customer service for midmarket and enterprise businesses. It counts over 1,800 companies as customers, including IBM, Acxiom, Trivago and Fujitsu.

“The global pandemic was a big part of how customers interact and how we interacted with our customers, all working from home,” Paiva said. “When you think about ordering things online, call, chat and email interactions became more important, and contact centers became core in every company.”

San Francisco-based Talkdesk now has $498 million in total funding since its inception in 2011. It was a Startup Battlefield contestant at TechCrunch Disrupt NY in 2012. The new funding follows a $143 million Series C raised last July that gave it a $3 billion valuation. Prior to that, Talkdesk brought in $100 million in 2018.

The 2020 round was planned to buoy the company’s growth and expansion to nearly 2,000 employees, Paiva said. For the Series D, there was much interest from investors, including a lot of inbound interest, he said.

“We were not looking for new money, and finished last year with more money in the bank that we raised in the last round, but the investors were great and wanted to make it work,” Paiva said.

Half of Talkdesk’s staff is in product and engineering, an area he intends to double down in with the new funding as well as adding to the headcount to support customers. The company also has plans to expand in areas where it is already operating — Latin America, Europe, Asia and Australia.

This year, the company unveiled new features, including Talkdesk Workspace, a customizable interface for contact center teams, and Talkdesk Builder, a set of tools for customization across workspaces, routing, reporting and integrations. It also launched contact center tools designed specifically for financial services and healthcare organizations and what it is touting as the “industry’s first human-in-the-loop tool for contact centers and continues to lower the barrier to adopting artificial intelligence solutions.”

In addition to the funding, Talkdesk appointed its first chief financial officer, Sydney Carey, giving the company an executive team of 50% women, Paiva said. Carey has a SaaS background and joins the company from Sumo Logic, where she led the organization through an initial public offering in 2020.

“We were hiring our executive team over the past couple of years, and were looking for a CFO, but with no specific timeline, just looking for the right person,” Paiva added. “Sydney was the person we wanted to hire.”

Though Paiva didn’t hint at any upcoming IPO plans, TI Platform Management co-founders Trang Nguyen and Alex Bangash have followed Paiva since he started the company and said they anticipate the company heading in that direction in the future.

“Talkdesk is an example of what can happen when a strong team is assembled behind a winning idea,” they said in a written statement. “Today, Talkdesk has become near ubiquitous as a SaaS product with adoption across a broad array of industries and integrations with the most popular enterprise cloud platforms, including Salesforce, Zendesk and Slack.”

Seattle-based Edge Delta, a startup that is building a modern distributed monitoring stack that is competing directly with industry heavyweights like Splunk, New Relic and Datadog, today announced that it has raised a $15 million Series A funding round led by Menlo Ventures and Tim Tully, the former CTO of Splunk. Previous investors MaC Venture Capital and Amity Ventures also participated in this round, which brings the company’s total funding to date to $18 million.

“Our thesis is that there’s no way that enterprises today can continue to analyze all their data in real time,” said Edge Delta co-founder and CEO Ozan Unlu, who has worked in the observability space for about 15 years already (including at Microsoft and Sumo Logic). “The way that it was traditionally done with these primitive, centralized models — there’s just too much data. It worked 10 years ago, but gigabytes turned into terabytes and now terabytes are turning into petabytes. That whole model is breaking down.”

Image Credits: Edge Delta

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. The promise of Edge Delta is that it can offer all of the capabilities of this centralized model by allowing enterprises to start to analyze their logs, metrics, traces and other telemetry right at the source. This, in turn, also allows them to get visibility into all of the data that’s generated there, instead of many of today’s systems, which only provide insights into a small slice of this information.

While competing services tend to have agents that run on a customer’s machine, but typically only compress the data, encrypt it and then send it on to its final destination, Edge Delta’s agent starts analyzing the data right at the local level. With that, if you want to, for example, graph error rates from your Kubernetes cluster, you wouldn’t have to gather all of this data and send it off to your data warehouse where it has to be indexed before it can be analyzed and graphed.

With Edge Delta, you could instead have every single node draw its own graph, which Edge Delta can then combine later on. With this, Edge Delta argues, its agent is able to offer significant performance benefits, often by orders of magnitude. This also allows businesses to run their machine learning models at the edge, as well.

Image Credits: Edge Delta

“What I saw before I was leaving Splunk was that people were sort of being choosy about where they put workloads for a variety of reasons, including cost control,” said Menlo Ventures’ Tim Tully, who joined the firm only a couple of months ago. “So this idea that you can move some of the compute down to the edge and lower latency and do machine learning at the edge in a distributed way was incredibly fascinating to me.”

Edge Delta is able to offer a significantly cheaper service, in large part because it doesn’t have to run a lot of compute and manage huge storage pools itself since a lot of that is handled at the edge. And while the customers obviously still incur some overhead to provision this compute power, it’s still significantly less than what they would be paying for a comparable service. The company argues that it typically sees about a 90 percent improvement in total cost of ownership compared to traditional centralized services.

Image Credits: Edge Delta

Edge Delta charges based on volume and it is not shy to compare its prices with Splunk’s and does so right on its pricing calculator. Indeed, in talking to Tully and Unlu, Splunk was clearly on everybody’s mind.

“There’s kind of this concept of unbundling of Splunk,” Unlu said. “You have Snowflake and the data warehouse solutions coming in from one side, and they’re saying, ‘hey, if you don’t care about real time, go use us.’ And then we’re the other half of the equation, which is: actually there’s a lot of real-time operational use cases and this model is actually better for those massive stream processing datasets that you required to analyze in real time.”

But despite this competition, Edge Delta can still integrate with Splunk and similar services. Users can still take their data, ingest it through Edge Delta and then pass it on to the likes of Sumo Logic, Splunk, AWS’s S3 and other solutions.

Image Credits: Edge Delta

“If you follow the trajectory of Splunk, we had this whole idea of building this business around IoT and Splunk at the Edge — and we never really quite got there,” Tully said. “I think what we’re winding up seeing collectively is the edge actually means something a little bit different. […] The advances in distributed computing and sophistication of hardware at the edge allows these types of problems to be solved at a lower cost and lower latency.”

The Edge Delta team plans to use the new funding to expand its team and support all of the new customers that have shown interest in the product. For that, it is building out its go-to-market and marketing teams, as well as its customer success and support teams.

Vantage, a service that helps businesses analyze and reduce their AWS costs, today announced that it has raised a $4 million seed round led by Andreessen Horowitz. A number of angel investors, including Brianne Kimmel, Julia Lipton, Stephanie Friedman, Calvin French Owen, Ben and Moisey Uretsky, Mitch Wainer and Justin Gage, also participated in this round.

Vantage started out with a focus on making the AWS console a bit easier to use — and helping businesses figure out what they are spending their cloud infrastructure budgets on in the process. But as Vantage co-founder and CEO Ben Schaechter told me, it was the cost transparency features that really caught on with users.

“We were advertising ourselves as being an alternative AWS console with a focus on developer experience and cost transparency,” he said. “What was interesting is — even in the early days of early access before the formal GA launch in January — I would say more than 95% of the feedback that we were getting from customers was entirely around the cost features that we had in Vantage.”

Image Credits: Vantage

Like any good startup, the Vantage team looked at this and decided to double down on these features and highlight them in its marketing, though it kept the existing AWS Console-related tools as well. The reason the other tools didn’t quite take off, Schaechter believes, is because more and more, AWS users have become accustomed to infrastructure-as-code to do their own automatic provisioning. And with that, they spend a lot less time in the AWS Console anyway.

“But one consistent thing — across the board — was that people were having a really, really hard time 12 times a year, where they would get a shocking AWS bill and had to figure out what happened. What Vantage is doing today is providing a lot of value on the transparency front there,” he said.

Over the course of the last few months, the team added a number of new features to its cost transparency tools, including machine learning-driven predictions (both on the overall account level and service level) and the ability to share reports across teams.

Image Credits: Vantage

While Vantage expects to add support for other clouds in the future, likely starting with Azure and then GCP, that’s actually not what the team is focused on right now. Instead, Schaechter noted, the team plans to add support for bringing in data from third-party cloud services instead.

“The number one line item for companies tends to be AWS, GCP, Azure,” he said. “But then, after that, it’s Datadog, Cloudflare, Sumo Logic, things along those lines. Right now, there’s no way to see, P&L or an ROI from a cloud usage-based perspective. Vantage can be the tool where that’s showing you essentially, all of your cloud costs in one space.”

That is likely the vision the investors bought into, as well, and even though Vantage is now going up against enterprise tools like Apptio’s Cloudability and VMware’s CloudHealth, Schaechter doesn’t seem to be all that worried about the competition. He argues that these are tools that were born in a time when AWS had only a handful of services and only a few ways of interacting with those. He believes that Vantage, as a modern self-service platform, will have quite a few advantages over these older services.

“You can get up and running in a few clicks. You don’t have to talk to a sales team. We’re helping a large number of startups at this stage all the way up to the enterprise, whereas Cloudability and CloudHealth are, in my mind, kind of antiquated enterprise offerings. No startup is choosing to use those at this point, as far as I know,” he said.

The team, which until now mostly consisted of Schaechter and his co-founder and CTO Brooke McKim, bootstrapped the company up to this point. Now they plan to use the new capital to build out its team (and the company is actively hiring right now), both on the development and go-to-market side.

The company offers a free starter plan for businesses that track up to $2,500 in monthly AWS cost, with paid plans starting at $30 per month for those who need to track larger accounts.

Sumo Logic, a mature security event management startup with a valuation over $1 billion, announced today that it has acquired JASK, a security operations startup that raised almost $40 million. The companies did not share the terms of the deal.

Sumo’s CEO Ramin Sayar says the combined companies give customers a complete security solution. Sumo offers what’s known in industry parlance as a security information and event management (SIEM) tool, while JASK provides a security operations center or SOC (pronounced “sock“). Both are focused on securing workloads in a cloud native environment and can work in tandem.

Sayar says that as companies shift workloads to the cloud they need to reevaluate their security tools. “The interesting thing about the market today is that the traditional enterprises are much more aggressively taking a security-first posture as they start to plan for new workloads in the cloud, let alone workloads that they are migrating. Part of that requires them to evaluate their tools, teams and, more importantly, a lot of their processes that they’ve built in and around their legacy systems as well as their SOC,” he said.

He says that combining the two organizations helps customers moving to the cloud automate a lot of their security requirements, something that’s increasingly important due to the lack of highly skilled security personnel. That means the more that software can do, the better.

“We see a lot of dysfunction in the marketplace and the whole movement towards automation really complements and supplements the gap that we have in the workforce, particularly in terms of security folks. This is what JASK has been trying to do for four-plus years, and it’s what Sumo has been trying to do for nearly 10 years in terms of using various algorithms and machine learning techniques to suppress a lot of false alerts, triage the process and help drive efficiency and more automation,” he said.

JASK CEO and co-founder Greg Martin says the shift to the cloud has also precipitated two major changes in the security space that have driven this growing need for security automation. “The perimeter is disappearing and that fundamentally changes how we have to perform cybersecurity. The second is that the footprint of threats and data are so large now that security operations is no longer a human scalable problem,” he said. Echoing Sayar, he says that requires a much higher level of automation.

JASK was founded in 2015, raising $39 million, according to Crunchbase data. Investors included Battery Ventures, Dell Technologies Capital, TenEleven Ventures and Kleiner Perkins. Its last round was a $25 million Series B led by Kleiner in June 2018.

Deepak Jeevankumar, managing director at Dell Technologies Capital, whose company was part of JASK’s Series A investment and who invests frequently in security startups, sees the two companies joining forces as a strong combination.

“Sumo Logic and JASK have the same mission to disrupt today’s security industry, which suffers from legacy security tools, siloed teams and alert fatigue. Both companies are pioneers in cloud-native security and share the same maniacal customer focus. Sumo Logic is therefore a great culture and product fit for JASK to continue its journey,” Jeevankumer told TechCrunch.

Sumo has raised $345 million, according to the company. It was valued at over $1 billion in its most recent funding round last May, when it raised $110 million.

CRN first reported this deal was in the works in an article on October 22.

Sumo Logic, a cloud data analytics and log analysis company, announced a $110 million Series G investment today. The company indicated that its valuation was “north of a billion dollars,” but wouldn’t give an exact figure.

Today’s round was led by Battery Ventures with participation from new investors Tiger Global Management and Franklin Templeton. Other unnamed existing investors also participated, according to the company. Today’s investment brings the total raised to $345 million.

When we spoke to Sumo Logic CEO Ramin Sayar at the time of its $75 million Series F in 2017, he indicated the company was on its way to becoming a public company. While that hasn’t happened yet, he says it is still the goal for the company, and investors wanted in on that before it happened.

“We don’t need to raise capital. We had plenty of capital already, but when you bring on crossover investors and others in this stage of a company, they have minimum check sizes and they have a lot of appetite to help you as you get ready to address a lot of the challenges and opportunities as you become a public company,” he said.

He says the company will be investing the money in continuing to develop the platform, whether that’s through acquisitions, which of course the money would help with, or through the company’s own engineering efforts.

The IPO idea remains a goal, but Sayar was not willing or able to commit to when that might happen. The company clearly has plenty of runway now to last for quite some time.

“We could go out now if we wanted to, but we made a decision that that’s not what we’re going to do, and we’re going to continue to double down and invest, and therefore bring some more capital in to give us more optionality for strategic tuck-ins and product IP expansion, international expansion — and then look to the public markets [after] we do that,” he said.

Dharmesh Thakker, general partner at investor Battery Ventures, says his firm likes Sumo Logic’s approach and sees a big opportunity ahead with this investment. “We have been tracking the Sumo Logic team for some time, and admire the company’s early understanding of the massive cloud-native opportunity and the rise of new, modern application architectures,” he said in a statement.

The company crossed the $100 million revenue mark last year and has 2,000 customers, including Airbnb, Anheuser-Busch and Samsung. It competes with companies like Splunk, Scalyr and Loggly.

Sumo Logic has long held the goal to help customers understand their data wherever it lives. As we move into the era of containers, that goal becomes more challenging because containers by their nature are ephemeral. The company announced a product enhancement today designed to instrument containerized applications in spite of that.

They are debuting these new features at DockerCon, Docker’s customer conference taking place this week in San Francisco.

Sumo’s CEO Ramin Sayer says containers have begun to take hold over the last 12-18 months with Docker and Kubernetes emerging as tools of choice. Given their popularity, Sumo wants to be able to work with them. “[Docker and Kubernetes] are by far the most standard things that have developed in any new shop, or any existing shop that wants to build a brand new modern app or wants to lift and shift an app from on prem [to the cloud], or have the ability to migrate workloads from Vendor A platform to Vendor B,” he said.

He’s not wrong of course. Containers and Kubernetes have been taking off in a big way over the last 18 months and developers and operations alike have struggled to instrument these apps to understand how they behave.

“But as that standardization of adoption of that technology has come about, it makes it easier for us to understand how to instrument, collect, analyze, and more importantly, start to provide industry benchmarks,” Sayer explained.

They do this by avoiding the use of agents. Regardless of how you run your application, whether in a VM or a container, Sumo is able to capture the data and give you feedback you might otherwise have trouble retrieving.

Screen shot: Sumo Logic (cropped)

The company has built in native support for Kubernetes and Amazon Elastic Container Service for Kubernetes (Amazon EKS). It also supports the open source tool Prometheus favored by Kubernetes users to extract metrics and metadata. The goal of the Sumo tool is to help customers fix issues faster and reduce downtime.

As they work with this technology, they can begin to understand norms and pass that information onto customers. “We can guide them and give them best practices and tips, not just on what they’ve done, but how they compare to other users on Sumo,” he said.

Sumo Logic was founded in 2010 and has raised $230 million, according to data on Crunchbase. Its most recent round was a $70 million Series F led by Sapphire Ventures last June.

 When we heard from Sumo Logic last June, the company was announcing a $75 million Series F. Today, they announced they were acquiring FactorChain, a security startup that has raised $3.6 million. The companies would not disclose the purchase price, but indicated the acquisition closed at the end of Q4 and all 12 FactorChain employees have joined Sumo Logic, including CEO Dave Frampton and CTO… Read More

 Sumo Logic, the cloud-based log analysis platform, announced a $75 million round today, as the seven year old company could be entering the home stretch before an IPO. While CEO Ramin Sayar was not ready or willing to commit to an IPO timeline, he did admit it was the next logical step for the company, and that the size of the investment gives him the capital to build toward that event.… Read More