Data may be the new oil, but it’s only valuable if you make good use of it. Today, a startup that has built a new kind of production analytics platform for developers, security engineers and data scientists to track and better understand how data is moving around their networks is announcing a round of funding that underscores the demand for their technology. Coralogix, which provides stateful streaming services to engineering teams, has picked up $55 million in a Series C round of funding.

The round was led by Greenfield Partners, with Red Dot Capital Partners, StageOne Ventures, Eyal Ofer’s – O.G. Tech, Janvest Capital Partners, Maor ventures, and 2B Angels also participating.

This Series C is coming about 10 months after the company’s Series B of $25 million, and from what we understand Coralogix’s valuation is now in the range of $300 million – $400 million, a big jump for the startup, coming on the back of it growing 250% since this time last year, racking up some 2,000 paying customers, some small teams paying as little as $100/year through to large enterprises paying $1.5 million/year.

Previously, Coralogix — founded in Tel Aviv and with a HQ also in San Francisoc — had also raised a round of $10 million.

Coralogix got its start initially as a platform aimed at quality assurance support for R&D and engineering teams. The focus here is on log analytics and metrics for platform engineers, and this still forms a big part of its business today. Added to that, in recent years, Coralogix’s tools are also being applied to cloud security services, contributing to a company’s threat intelligence by providing a way to observe data for any inconsistencies that typically might point to a breach or another incident. (It integrates with Alien Vault and others for this purpose.)

The third area that is just picking up now and will be developed further — one of the uses of this investment, in fact — will be to develop how Coralogix is used for business intelligence. This is a particularly interesting area because it plays into how Coralogix is built, to provide analytics on data before it is indexed.

“It’s about high volume, but low value data,” Ariel Assaraf, Coralogix’s CEO, said in an interview. “Customers don’t want to store the data [or index it] but want to view it live and visualize it. We are starting to see a use case where business information and our analytics come together for sentiment analysis and other areas.”

There are dozens of strong companies providing tools these days to cover log analytics and data observability, underscoring the general growth and importance of DevOps these days. They include companies like DataDog, Sumo Logic, Splunk and more.

However, Assaraf believes that what sets his company apart from them is its approach: essentially it has devised a way of observing and analyzing data streams before they get indexed, giving engineers a more flexibility to query the data in different ways, and essentially glean more insights, faster. The other issue with indexing, he said, is that it impacts latency, which also has a big impact on overall costs for an organization.

For many of Coralogix’s competitors, turning around the nature of the business to focus not first on indexing would be akin to completely rebuilding the business, hard to do at their scale (although in fact this is what Coralogix did, when it pivoted as a small company several years ago, which is when Assaraf took on the role of CEO). One company he believes might be more of a direct rival is Confluent.

“I think we will see Confluent getting into observability very soon because they have the streaming capabilities,” he said, “but not the tools we have.” Another potential competitor looming on the horizon: Salesforce, and its potential move into that area, underscores the shifting sands of what is powering enterprise IT investment decisions today.

Salesforce already has Heroku, Slack and Tableau, three major tools developers use for tracking and working with data, Assaraf pointed out, and there were strong rumors of it trying to buy DataDog, “so we definitely see where they are going. For sure, they understand the way things are changing. All the budgets when Salesforce first started were in marketing and sales. Now you sell to IT. Salesforce understands that shift to developers, and so that is where they are going.”

It makes for a very interesting landscape and future for companies like Coralogix, one that investors believe the startup will continue to shape as it has up to now.

“The  dramatic shift in digital transformation is generating an explosion of data, which until now has forced enterprises to decide between cost and coverage,” said Shay Grinfeld, managing partner at Greenfield Partners. “Coralogix’s real-time streaming analytics  pipeline employs proprietary algorithms to break this tradeoff and generate significant cost savings. Coralogix has built a customer roster that comprises some of the largest and most innovative companies in the world. We’re thrilled to partner with Ariel and the Coralogix team on their journey to reinvent the future of data observability.”

Site reliability engineering platform Blameless announced Tuesday it raised $30 million in a Series B funding round, led by Third Point Ventures with participation from Accel, Decibel and Lightspeed Venture Partners, to bring total funding to over $50 million.

Site reliability engineering (SRE) is an extension of DevOps designed for more complex environments.

Blameless, based in San Mateo, California, emerged from stealth in 2019 after raising both a seed and Series A round, totaling $20 million. Since then, it has turned its business into a blossoming software platform.

Blameless’ platform provides the context, guardrails and automated workflows so engineering teams are unified in the way they communicate and interact, especially to resolve issues quicker as they build their software systems.

It originally worked with tech-forward teams at large companies, like Home Depot, that were “dipping [their toes] into the space and now [want] to double down,” co-founder and CEO Lyon Wong told TechCrunch.

The company still works with those tech-forward teams, but in the past two years, more companies sought out resident SRE architect Kurt Anderson to advise them, causing Blameless to change up its business approach, Wong said.

Other companies are also seeing a trend of customers asking for support — for example, in March, Google Cloud unveiled its Mission Critical Services support option for SRE to serve in a similar role as a consultant as companies move toward readiness with their systems. And in February, Nobl9 raised a $21 million Series B to provide enterprises with the tools they need to build service-level-objective-centric operations, which is part of a company’s SRE efforts.

Blameless now has interest from more mainstream companies in the areas of enterprise, logistics and healthcare. These companies aren’t necessarily focused on technology, but see a need for SRE.

“Companies recognize the shortfall in reliability, and then the question they come to us with is how do they get from where they are to where they want to be,” Anderson said. “Often companies that don’t have a process respond with ‘all hands on deck’ all the time, but instead need to shift to the right people responding.”

Lyon plans to use the new funding to fill key leadership roles, the company’s go-to-market strategy and product development to enable the company to go after larger enterprises.

Blameless doubled its revenue in the last year and will expand to service all customer segments, adding small and emerging businesses to its roster of midmarket and large companies. The company also expects to double headcount in the next three quarters.

As part of the funding announcement, Third Point Ventures partner Dan Moskowitz will join Blameless’ board of directors with Wong, Accel partner Vas Natarajan and Lightspeed partner Ravi Mhatre.

“Freeing up engineering to focus on shipping code is exactly what Blameless achieves,” said Moskowitz in a written statement. “The Blameless market opportunity is big as we see teams struggle and resort to creating homegrown playbooks and point solutions that are incomplete and costly.”

Sometimes, the best missions are the hardest to fund.

For the founders of RapidSOS, improving the quality of emergency response by adding useful data, like location, to 911 calls was an inspiring objective, and one that garnered widespread support. There was just one problem: How would they create a viable business?

The roughly 5,700 public safety answering points (PSAPs) in America weren’t great contenders. Cash-strapped and highly decentralized, 911 centers already spent their meager budgets on staffing and maintaining decades-old equipment, and they had few resources to improve their systems. Plus, appropriations bills in Congress to modernize centers have languished for more than a decade, a topic we’ll explore more in part four of this EC-1.

People obviously desire better emergency services — after all, they are the ones who will dial 911 and demand help someday. Yet, they never think about emergencies until they actually happen, as RapidSOS learned from the poor adoption of its Haven app we discussed in part one. People weren’t ready to pay a monthly subscription for these services in advance.

So, who would pay? Who was annoyed enough with America’s antiquated 911 system to be willing to shell out dollars to fix it?

Ultimately, the company iterated itself into essentially an API layer between the thousands of PSAPs on one side and developers of apps and consumer devices on the other. These developers wanted to include safety features in their products, but didn’t want to engineer hundreds of software integrations across thousands of disparate agencies. RapidSOS’ business model thus became offering free software to 911 call centers while charging tech companies to connect through its platform.

It was a tough road and a classic chicken-and-egg problem. Without call center integrations, tech companies wouldn’t use the API — it was essentially useless in that case. Call centers, for their part, didn’t want to use software that didn’t offer any immediate value, even if it was being given away for free.

This is the story of how RapidSOS just plowed ahead against those headwinds from 2017 onward, ultimately netting itself hundreds of millions in venture funding, thousands of call agency clients, dozens of revenue deals with the likes of Apple, Google and Uber, and partnerships with more software integrators than any startup has any right to secure. Smart product decisions, a carefully calibrated business model and tenacity would eventually lend the company the escape velocity to not just expand across America, but increasingly across the world as well.

In this second part of the EC-1, I’ll analyze RapidSOS’ current product offerings and business strategy, explore the company’s pivot from consumer app to embedded technology and take a look at its nascent but growing international expansion efforts. It offers key lessons on the importance of iterating, how to secure the right customer feedback and determining the best product strategy.

The 411 on a 911 API

It became clear from the earliest stages of RapidSOS’ journey that getting data into the 911 center would be its first key challenge. The entire 911 system — even today in most states — is built for voice and not data.

Karin Marquez, senior director of public safety at RapidSOS, who we met in the introduction, worked for decades at a PSAP near Denver, working her way up from call taker to a senior supervisor. “When I started, it was a one-man dispatch center. So, I was working alone, I was answering 911 calls, non-emergency calls, dispatching police, fire and EMS,” she said.

RapidSOS senior director of public safety Karin Marquez. Image Credits: RapidSOS

As a 911 call taker, her very first requirement for every call was figuring out where an emergency is taking place — even before characterizing what is happening. “Everything starts with location,” she said. “If I don’t know where you are, I can’t send you help. Everything else we can kind of start to build our house on. Every additional data [point] will help to give us a better understanding of what that emergency is, who may be involved, what kind of vehicle they’re involved in — but if I don’t have an address, I can’t send you help.”

When it comes to software to help IT manage workers’ devices wherever they happen to be, enterprises have long been spoiled for choice — a situation that has come in especially handy in the last 18 months, when many offices globally have gone remote and people have logged into their systems from home. But the same can’t really be said for small and medium enterprises: as with so many other aspects of tech, they’ve long been overlooked when it comes to building modern IT management solutions tailored to their size and needs.

But there are signs of that changing. Today, a startup called Atera that has been building remote, and low-cost, predictive IT management solutions specifically for organizations with less than 1,000 employees, is announcing a funding round of $77 million — a sign of the demand in the market, and Atera’s own success in addressing it. The investment values Atera at $500 million, the company confirmed.

The Tel Aviv-based startup has amassed some 7,000 customers to date, managing millions of endpoints — computers and other devices connected to them — across some 90 countries, providing real-time diagnostics across the datapoints generated by those devices to predict problems with hardware, software and network, or with security issues.

Atera’s aim is to use the funding both to continue building out that customer footprint, and to expand its product — specifically adding more functionality to the AI that it currently uses (and for which Atera has been granted patents) to run predictive analytics, one of the technologies that today are part and parcel of solutions targeting larger enterprises but typically are absent from much of the software out there aimed at SMBs.

“We are in essence democratizing capabilities that exist for enterprises but not for the other half of the economy, SMBs,” said Gil Pekelman, Atera’s CEO, in an interview.

The funding is being led by General Atlantic, and it is notable for being only the second time that Atera has ever raised money — the first was earlier this year, a $25 million round from K1 Investment Management, which is also in this latest round. Before this year, Atera, which was founded in 2016, turned profitable in 2017 and then intentionally went out of profit in 2019 as it used cash from its balance sheet to grow. Through all of that, it was bootstrapped. (And it still has cash from that initial round earlier this year.)

As Pekelman — who co-founded the company with Oshri Moyal (CTO) — describes it, Atera’s approach to remote monitoring and management, as the space is typically called, starts first with software clients installed at the endpoints that connect into a network, which give IT managers the ability to monitor a network, regardless of the actual physical range, as if it’s located in a single office. Around that architecture, Atera essentially monitors and collects “datapoints” covering activity from those devices — currently taking in some 40,000 datapoints per second.

To be clear, these datapoints are not related to what a person is working on, or any content at all, but how the devices behave, and the diagnostics that Atera amasses and focuses on cover three main areas: hardware performance, networking and software performance and security. Through this, Atera’s system can predict when something might be about to go wrong with a machine, or why a network connection might not be working as it should, or if there is some suspicious behavior that might need a security-oriented response. It supplements its work in the third area with integrations with third-party security software — Bitdefender and Acronis among them — and by issuing updated security patches for devices on the network.

The whole system is built to be run in a self-service way. You buy Atera’s products online, and there are no salespeople involved — in fact most of its marketing today is done through Facebook and Google, Pekelman said, which is one area where it will continue to invest. This is one reason why it’s not really targeted larger enterprises (the others are the level of customization that would be needed; as well as more sophisticated service level agreements). But it is also the reason why Atera is so cheap: it costs $89 per month per IT technician, regardless of the number of endpoints that are being managed.

“Our constituencies are up to 1,000 employees, which is a world that was in essence quite neglected up to now,” Pekelman said. “The market we are targeting and that we care about are these smaller guys and they just don’t have tools like these today.” Since model is $89 dollars per month per technician using the software, it means that a company with 500 people with four technicians is paying $356 per month to manage their networks, peanuts in the greater scheme of IT services, and one reason why Atera has caught on as more and more employees have gone remote, and are looking like they will stay that way.

And the fact that this model is thriving is also one of the reason and investors are interested.

“Atera has developed a compelling all-in-one platform that provides immense value for its customer base, and we are thrilled to be supporting the company in this important moment of its growth trajectory,” said Alex Crisses, MD, Global Head of New Investment Sourcing and Co-Head of Emerging Growth at General Atlantic, in a statement. “We are excited to work with a category-defining Israeli company, extending General Atlantic’s presence in the country’s cutting-edge technology sector and marking our fifth investment in the region. We look forward to partnering with Gil, Oshri, and the Atera team to help the company realize its vision.”

Online abuse, disinformation, fraud and other malicious content is growing and getting more complex to track. Today, a startup called ActiveFence, which has quietly built a tech platform to suss out threats as they are being formed and planned, to make it easier for trust and safety teams to combat them on platforms, is coming out of the shadows to announce significant funding on the back of a surge of large organizations using its services.

The startup, co-headquartered in New York and Tel Aviv, has raised $100 million, funding that it will use to continue developing its tools and to continue expanding its customer base. To date, ActiveFence says that its customers include companies in social media, audio and video streaming, file sharing, gaming, marketplaces and other technologies — it has yet to disclose any specific names but says that its tools collectively cover “billions” of users. Governments and brands are two other categories that it is targeting as it continues to expand. It has been around since 2018 and is growing at around 100% annually.

The $100 million being announced today actually covers two rounds: its most recent Series B led by CRV and Highland Europe, as well as a Series A it never announced led by Grove Ventures and Norwest Venture Partners. Vintage Investment Partners, Resolute Ventures and other unnamed backers also participated. It’s not disclosing valuation but I understand it’s over $500 million.

“We are very honored to be ActiveFence partners from the very earliest days of the company, and to be part of this important journey to make the internet a safer place and see their unprecedented success with the world’s leading internet platforms,” said Lotan Levkowitz, general partner at Grove Ventures, in a statement.

The increased presence of social media and online chatter on other platforms has put a strong spotlight on how those forums are used by bad actors to spread malicious content. ActiveFence’s particular approach is a set of algorithms that tap into innovations in AI (natural language processing) and to map relationships between conversations. It crawls all of the obvious, and less obvious and harder-to-reach parts of the internet to pick up on chatter that is typically where a lot of the malicious content and campaigns are born — some 3 million sources in all — before they become higher-profile issues.  It’s built both on the concept of big data analytics as well as understanding that the long tail of content online has a value if it can be tapped effectively.

“We take a fundamentally different approach to trust, safety and content moderation,” Noam Schwartz, the co-founder and CEO, said in an interview. “We are proactively searching the darkest corners of the web and looking for bad actors in order to understand the sources of malicious content. Our customers then know what’s coming. They don’t need to wait for the damage, or for internal research teams to identify the next scam or disinformation campaign. We work with some of the most important companies in the world, but even tiny, super niche platforms have risks.”

The insights that ActiveFence gathers are then packaged up in an API that its customers can then feed into whatever other systems they use to track or mitigate traffic on their own platforms.

ActiveFence is not the only company building technology to help platform operators, governments and brands to have a better picture of what is going on in the wider online world. Factmata has built algorithms to better understand and track sentiments online; Primer (which also recently raised a big round) also uses NLP to help its customers track online information, with its customers including government organizations that used its technology to track misinformation during election campaigns; Bolster (formerly called RedMarlin) is another.

Some of the bigger platforms have also gotten more proactive in bringing tracking technology and talent in-house: Facebook acquired Bloomsbury AI several years ago for this purpose; Twitter has acquired Fabula (and is working on a bigger efforts like Birdwatch to build better tools), and earlier this year Discord picked up Sentropy, another online abuse tracker. In some cases, companies that more regularly compete against each other for eyeballs and dollars are even teaming up to collaborate on efforts.

Indeed, may well be that ultimately there will exist multiple efforts and multiple companies doing good work in this area, not unlike other corners of the world of security, which might need more than one hammer thrown at problems to crack them. In this particular case, the growth of the startup to date, and its effectiveness in identifying early warning signs, is one reason why investors have been interested in ActiveFence.

“We are pleased to support ActiveFence in this important mission” commented Izhar Armony, the lead investor from CRV, in a statement. “We believe they are ready for the next phase of growth and that they can maintain leadership in the dynamic and fast growing trust and safety market.”

“ActiveFence has emerged as a clear leader in the developing online trust and safety category. This round will help the company to accelerate the growth momentum we witnessed in the past few years,” said Dror Nahumi, general partner at Norwest Venture Partners, in a statement.