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Stonehenge Technology Labs bags $2M, gives CPG companies one-touch access to metrics
Stonehenge Technology Labs wants consumer packaged goods companies to gain meaningful use from all of the data they collect. It announced $2 million in seed funding for its STOPWATCH commerce enhancement software.
The round was led by Irish Angels, with participation from Bread and Butter Ventures, Gaingels, Angeles Investors, Bonfire Ventures and Red Tail Venture Capital.
CEO Meagan Kinmonth Bowman founded the Arkansas-based company in 2019 after working at Hallmark, where she was tasked with the digital transformation of the company.
“This was not a consequence of them not being good marketers or connected to mom, but they didn’t have the technology to connect their back end with retailers like Amazon, Walmart or Hobby Lobby,” she told TechCrunch. “There are so many smart people building products to connect with consumers. The challenge is the big guys are doing things the same way and not thinking like the 13-year-olds on social media that are actually winning the space.”
Kinmonth Bowman and her team recognized that there was a missing middle layer connecting the world of dotcom with brick and mortar. If the middle layer could be applied to the enterprise resource plans and integrate public and private data feeds, a company could be just as profitable online as it could be in traditional retail, she said.
Stonehenge’s answer to that is STOPWATCH, which takes in over 100 million rows of data per workspace per day, analyzes the data points, adds real-time alerts and provides the right data to the right people at the right time.
Dan Rossignol, a B2B SaaS investor, said the CPG world is also about consumerizing our life, and the global pandemic showed that even at home, people could have a productive day and business. Rossignol likes to invest in underestimated founders and saw in Stonehenge a company that is getting CPGs out from underneath antiquated technologies.
“What Meagan and her team are doing is really interesting,” he added. “At this stage, it is all about the people, and the ability to bet on doing something larger.”
Kinmonth Bowman said she had the opportunity to base the company in Silicon Valley, but chose Bentonville, Arkansas instead to be closer to the more than 1,000 CPG companies based there that she felt were the prime customer base for STOPWATCH.
The platform was originally created as a subsidiary of a consulting company, but in 2018, one of their clients told them they just wanted the software rather than also paying for the consulting piece. The business was split, and Stonehenge went underground for eight months to make a software product specifically for the client.
Kinmonth Bowman admits the technology itself is not that sexy — it is using exact transfer loads to extract data from hundreds of systems into a “lake house,” and then siloing it by retailer and other factors and then presenting the data in different ways. For example, the CEO will want different metrics than product teams.
Over the past year, the company has doubled its revenue and also doubled the amount of contracts. It already counts multiple Fortune 100 companies and emerging brands as some of its early users and plans to use the new funding to hire a sales team and go after some strategic relationships.
Stonehenge is also working on putting together a diverse workforce that mimics the users of the software, Kinmonth Bowman said. One of the challenges has been to get unique talent to move to Arkansas, but she said it is one she is eager to take on.
Meanwhile, Brett Brohl, managing partner at Bread and Butter Ventures, said the Stonehenge team “is just crazy enough, smart and driven” to build something great.
“All of the biggest companies have been around for a long time, but not a lot of large organizations have done a good job digitizing their businesses,” he said. “Even pre-COVID, they were building fill-in-the-blank digital transformations, but COVID accelerated technology and hit a lot of companies in the face. That was made more obvious to end consumers, which puts more pressure on companies to understand the need, which is good for STOPWATCH. It went from paper to Excel spreadsheets to the next cloud modification. The time is right for the next leap and how to use data.”
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Cribl raises $200M to help enterprises do more with their data
At a time when remote work, cybersecurity attacks and increased privacy and compliance requirements threaten a company’s data, more companies are collecting and storing their observability data, but are being locked in with vendors or have difficulty accessing the data.
Enter Cribl. The San Francisco-based company is developing an “open ecosystem of data” for enterprises that utilizes unified data pipelines, called “observability pipelines,” to parse and route any type of data that flows through a corporate IT system. Users can then choose their own analytics tools and storage destinations like Splunk, Datadog and Exabeam, but without becoming dependent on a vendor.
The company announced Wednesday a $200 million round of Series C funding to value Cribl at $1.5 billion, according to a source close to the company. Greylock and Redpoint Ventures co-led the round and were joined by new investor IVP, existing investors Sequoia and CRV and strategic investment from Citi Ventures and CrowdStrike. The new capital infusion gives Cribl a total of $254 million in funding since the company was started in 2017, Cribl co-founder and CEO Clint Sharp told TechCrunch.
Sharp did not discuss the valuation; however, he believes that the round is “validation that the observability pipeline category is legit.” Data is growing at a compound annual growth rate of 25%, and organizations are collecting five times more data today than they did 10 years ago, he explained.
“Ultimately, they want to ask and answer questions, especially for IT and security people,” Sharp added. “When Zoom sends data on who started a phone call, that might be data I need to know so I know who is on the call from a security perspective and who they are communicating with. Also, who is sending files to whom and what machines are communicating together in case there is a malicious actor. We can also find out who is having a bad experience with the system and what resources they can access to try and troubleshoot the problem.”
Cribl also enables users to choose how they want to store their data, which is different from competitors that often lock companies into using only their products. Instead, customers can buy the best products from different categories and they will all talk to each other through Cribl, Sharp said.
Though Cribl is developing a pipeline for data, Sharp sees it more as an “observability lake,” as more companies have differing data storage needs. He explains that the lake is where all of the data will go that doesn’t need to go into an existing storage solution. The pipelines will send the data to specific tools and then collect the data, and what doesn’t fit will go back into the lake so companies have it to go back to later. Companies can keep the data for longer and more cost effectively.
Cribl said it is seven times more efficient at processing event data and boasts a customer list that includes Whole Foods, Vodafone, FINRA, Fannie Mae and Cox Automotive.
Sharp went after additional funding after seeing huge traction in its existing customer base, saying that “when you see that kind of traction, you want to keep doubling down.” His aim is to have a presence in every North American city and in Europe, to continue launching new products and growing the engineering team.
Up next, the company is focusing on go-to-market and engineering growth. Its headcount is 150 currently, and Sharp expects to grow that to 250 by the end of the year.
Over the last fiscal year, Cribl grew its revenue 293%, and Sharp expects that same trajectory for this year. The company is now at a growth stage, and with the new investment, he believes Cribl is the “future leader in observability.”
“This is a great investment for us, and every dollar, we believe, is going to create an outsized return as we are the only commercial company in this space,” he added.
Scott Raney, managing director at Redpoint Ventures, said his firm is a big enterprise investor in software, particularly in companies that help organizations leverage data to protect themselves, a sweet spot that Cribl falls into.
He feels Sharp is leading a team, having come from Splunk, that has accomplished a lot, has a vision and a handle on the business and knows the market well. Where Splunk is capturing the machine data and using its systems to extract the data, Cribl is doing something similar in directing the data where it needs to go, while also enabling companies to utilize multiple vendors and build apps to sit on top of its infrastructure.
“Cribl is adding opportunity by enriching the data flowing through, and the benefits are going to be meaningful in cost reduction,” Raney said. “The attitude out there is to put data in cheaper places, and afford more flexibility to extract data. Step one is to make that transition, and step two is how to drive the data sitting there. Cribl is doing something that will go from being a big business to a legacy company 30 years from now.”
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Employee talent predictor retrain.ai raised another $7M, adds Splunk as strategic investor
Automation will displace 85 million jobs while simultaneously creating 97 million new jobs by 2025, according to the World Economic Forum. Although that sounds like good news, the hard reality is that millions of people will have to retrain in the jobs of the future.
A number of startups are addressing these problems of employee skills, and are looking at talent development, neuroscience-based assessments and prediction technologies for staffing. These include Pymetrics (raised $56.6 million), Eightfold (raised $396.8 million) and EmPath (raised $1 million). But this sector is by no means done yet.
Retrain.ai bills itself as a “Talent Intelligence Platform”, and it’s now closed an additional $7 million from its current investors Square Peg, Hetz Ventures, TechAviv, .406 Ventures and Schusterman Family Investments. It’s also now added Splunk Ventures as a strategic investor. The new round of funding takes its total raised to $20 million.
Retrain.ai says it uses AI and machine learning to help governments and organizations retrain and upskill talent for jobs of the future, enable diversity initiatives, and help employees and jobseekers manage their careers.
Dr. Shay David, co-founder and CEO of retrain.ai said: “We are thrilled to have Splunk Ventures join us on this exciting journey as we use the power of data to solve the widening skills gap in the global labor markets.”
The company says it helps companies tackle future workforce strategies by “analyzing millions of data sources to understand the demand and supply of skill sets.”
The new funding will be used for U.S. expansion, hiring talent and product development.
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Salesforce’s Kathy Baxter is coming to TC Sessions: SaaS to talk AI
As the use of AI has grown and developed over the last several years, companies like Salesforce have tried to tap into it to improve their software and help customers operate faster and more efficiently. Kathy Baxter, principal architect for the ethical AI practice at Salesforce, will be joining us at TechCrunch Sessions: SaaS on October 27th to talk about the impact of AI on SaaS.
Baxter, who has more than 20 years of experience as a software architect, joined Salesforce in 2017 after more than a decade at Google in a similar role. We’re going to tap into her expertise on a panel discussing AI’s growing role in software.
Salesforce was one of the earlier SaaS adherents to AI, announcing its artificial intelligence tooling, which the company dubbed Einstein, in 2016. While the positioning makes it sound like a product, it’s actually much more than a single entity. It’s a platform component, which the various pieces of the Salesforce platform can tap into to take advantage of various types of AI to help improve the user experience.
That could involve feeding information to customer service reps on Service Cloud to make the call move along more efficiently, helping salespeople find the customers most likely to close a deal soon in the Sales Cloud or helping marketing understand the optimal time to send an email in the Marketing Cloud.
The company began building out its AI tooling early on with the help of 175 data scientists and has been expanding on that initial idea since. Other companies, both startups and established companies like SAP, Oracle and Microsoft, have continued to build AI into their platforms as Salesforce has. Today, many SaaS companies have some underlying AI built into their service.
Baxter will join us to discuss the role of AI in software today and how that helps improve the operations of the service itself, and what the implications are of using AI in your software service as it becomes a mainstream part of the SaaS development process.
In addition to our discussion with Baxter, the conference will also include Databricks’ Ali Ghodsi, UiPath’s Daniel Dines and Puppet’s Abby Kearns, as well as investors Casey Aylward and Sarah Guo, among others. We hope you’ll join us. It’s going to be a stimulating day.
Buy your pass now to save up to $100, and use CrunchMatch to make expanding your empire quick, easy and efficient. We can’t wait to see you in October!
Is your company interested in sponsoring or exhibiting at TC Sessions: SaaS 2021? Contact our sponsorship sales team by filling out this form.
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Breach simulation startup AttackIQ raises $44M to fuel expansion
AttackIQ, a cybersecurity startup that provides organizations with breach and attack simulation solutions, has raised $44 million in Series C funding as it looks to ramp up its international expansion.
The funding round was led by Atlantic Bridge, Saudi Aramco Energy Ventures (SAEV) and Gaingels, with existing vendors — including Index Ventures, Khosla Ventures, Salesforce Ventures and Telstra Ventures — also participating. The round brings the company’s total funding raised to date to $79 million.
AttackIQ was founded in 2013 and is based out of San Diego, California. It provides an automated validation platform that runs scenarios to detect any gaps in a company’s defenses, enabling organizations to test and measure the effectiveness of their security posture and receive guidance on how to fix what’s broken. Broadly, AttackIQ’s platform helps an organization’s security teams anticipate, prepare and hunt for threats that may impact their business, before hackers get there first.
Its Security Optimization Platform platform, which supports Windows, Linux and macOS across public, private and on-premises cloud environments, is based on the MITRE ATT&CK framework, a curated knowledge base of known adversary threats, tactics and techniques. This is used by a number of cybersecurity companies also building continuous validation services, including FireEye, Palo Alto Networks and Cymulate.
AttackIQ says this latest round of funding, which comes more than two years after its last, arrives at a “dynamic time” for the company. Not only has cybersecurity become more of a priority for organizations as a result of a major uptick in both ransomware and supply-chain attacks, the company also recently accelerated its international expansion efforts through a partnership with technology distributor Westcon.
The startup says it’s planning to use these new funds to further expand internationally through its newfound partnership with Atlantic Bridge, which will also see Kevin Dillon, the company’s co-founder and managing director, join the AttackIQ board of directors.
“AttackIQ has established itself as a category leader with a formidable enterprise customer base that includes four of the Fortune 20,” said Dillon. “We believe deeply in the company’s vision and potential to become the next billion-dollar cybersecurity software company and look forward to helping the company turn early traction in Europe and the Middle East into robust, long-term expansion.”
Brett Galloway, CEO of AttackIQ, said the round “reaffirms the strength” of its platform.
As well as enabling organizations to review the robustness of their security defenses, the startup also runs the AttackIQ Academy, which provides free entry-level and advanced cybersecurity training. It has accumulated 17,200 registered students to date across 176 countries.
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Edge Delta raises $15M Series A to take on Splunk
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.
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Vantage raises $4M to help businesses understand their AWS costs
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.
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Cybersecurity startup Panaseer raises $26.5M Series B led by AllegisCyber Capital
Panaseer, which takes a data science approach to cybersecurity, has raised $26.5 million in a Series B funding led by AllegisCyber Capital. Existing investors, including Evolution Equity Partners, Notion Capital, AlbionVC, Cisco Investments and Paladin Capital Group, as well as new investor National Grid Partners, also participated. Panaseer has now raised $43 million to date.
Panaseer’s special sauce and sales pitch amount to what it calls “Continuous Controls Monitoring” (CCM). In plainer English that means correlating a great deal of data from all available security tools to check assets, control gaps, you name it.
As a result, the company says it can identify zero-day and other exposures faster, or exposure to, say, FireEye or SolarWinds vulnerabilities.
Jonathan Gill, CEO, Panaseer said: “Most enterprises have the tools and capability to theoretically prevent a breach from occurring. However, one of the key reasons that breaches occur is that there is no technology to monitor and react to failed controls. CCM continuously validates and measures levels of protection and provides notifications of failures. Ultimately, CCM enables these failures to be fixed before they become security incidents.”
Speaking to me on a call he added: “The investment, allows us to scale our organization to meet those demands of customers with a team of people to implement the platform and help them get tremendous value and to evolve the product. To add more and more capability to that technology to support more and more use cases. So they’re the two main directions, and there’s a market we think of tens of thousands of organizations of a certain size, who are regulated or they have assets worth protecting and a level of complexity that makes it difficult to solve the problem themselves. And our Advisory Board and the customers I’ve spoken with think maybe there are barely 20 companies in the world who can solve this problem. And everybody else gets stuck on the fact that it’s a really difficult data science problem to solve. So we want to scale that and take that to more organizations.”
And why did they pick these investors: “I think we picked them and they picked us, we’ve been on that journey together. It takes months to find the best combination. The dollars are all the same when it comes to investors, but I think they can help improve as an organization and grow just like the existing investors do. They give us access and reach into parts of the market and help make us better as organizations as well.”
Bob Ackerman, founder and managing director of AllegisCyber Capital, and co-founder of DataTribe said: “The emergence of Continuous Controls Monitoring as a new cybersecurity category demonstrates a ‘coming of age’ for cybersecurity. Cyber is the existential threat to the global digital economy. All levels of the enterprise, from the CISO, to Chief Risk Officer, to the Board of Directors are demanding comprehensive visibility, transparency and hard metrics to assess cyber situational awareness.”
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Healthcare is the next wave of data liberation
Why can we see all our bank, credit card and brokerage data on our phones instantaneously in one app, yet walk into a doctor’s office blind to our healthcare records, diagnoses and prescriptions? Our health status should be as accessible as our checking account balance.
The liberation of financial data enabled by startups like Plaid is beginning to happen with healthcare data, which will have an even more profound impact on society; it will save and extend lives. This accessibility is quickly approaching.
As early investors in Quovo and PatientPing, two pioneering companies in financial and healthcare data, respectively, it’s evident to us the winners of the healthcare data transformation will look different than they did with financial data, even as we head toward a similar end state.
For over a decade, government agencies and consumers have pushed for this liberation.
This push for greater data liquidity coincides with demand from consumers for better information about cost and quality.
In 2009, the Health Information Technology for Economic and Clinical Health Act (HITECH) gave the first big industry push, catalyzing a wave of digitization through electronic health records (EHR). Today, over 98% of medical records are digitized. This market is dominated by multibillion‐dollar vendors like Epic, Cerner and Allscripts, which control 70% of patient records. However, these giant vendors have yet to make these records easily accessible.
A second wave of regulation has begun to address the problem of trapped data to make EHRs more interoperable and valuable. Agencies within the Department of Health and Human Services have mandated data sharing among payers and providers using a common standard, the Fast Healthcare Interoperability Resources (FHIR) protocol.
Image Credits: F-Prime Capital
This push for greater data liquidity coincides with demand from consumers for better information about cost and quality. Employers have been steadily shifting a greater share of healthcare expenses to consumers through high-deductible health plans — from 30% in 2012 to 51% in 2018. As consumers pay for more of the costs, they care more about the value of different health options, yet are unable to make those decisions without real-time access to cost and clinical data.
Image Credits: F-Prime Capital
Tech startups have an opportunity to ease the transmission of healthcare data and address the push of regulation and consumer demands. The lessons from fintech make it tempting to assume that a Plaid for healthcare data would be enough to address all of the challenges within healthcare, but it is not the right model. Plaid’s aggregator model benefited from a relatively high concentration of banks, a limited number of data types and low barriers to data access.
By contrast, healthcare data is scattered across tens of thousands of healthcare providers, stored in multiple data formats and systems per provider, and is rarely accessed by patients directly. Many people log into their bank apps frequently, but few log into their healthcare provider portals, if they even know one exists.
HIPPA regulations and strict patient consent requirements also meaningfully increase friction to data access and sharing. Financial data serves mostly one-to-one use cases, while healthcare data is a many-to-many problem. A single patient’s data is spread across many doctors and facilities and is needed by just as many for care coordination.
Because of this landscape, winning healthcare technology companies will need to build around four propositions:
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Vista Equity takes minority stake in Canada’s Vena with $242M investment
Vena, a Canadian company focused on the Corporate Performance Management (CPM) software space, has raised $242 million in Series C funding from Vista Equity Partners.
As part of the financing, Vista Equity is taking a minority stake in the company. The round follows $25 million in financing from CIBC Innovation Banking last September, and brings Vena’s total raised since its 2011 inception to over $363 million.
Vena declined to provide any financial metrics or the valuation at which the new capital was raised, saying only that its “consistent growth and…strong customer retention and satisfaction metrics created real demand” as it considered raising its C round.
The company was originally founded as a B2B provider of planning, budgeting and forecasting software. Over time, it’s evolved into what it describes as a “fully cloud-native, corporate performance management platform” that aims to empower finance, operations and business leaders to “Plan to Grow” their businesses. Its customers hail from a variety of industries, including banking, SaaS, manufacturing, healthcare, insurance and higher education. Among its over 900 customers are the Kansas City Chiefs, Coca-Cola Consolidated, World Vision International and ELF Cosmetics.
Vena CEO Hunter Madeley told TechCrunch the latest raise is “mostly an acceleration story for Vena, rather than charting new paths.”
The company plans to use its new funds to build out and enable its go-to-market efforts as well as invest in its product development roadmap. It’s not really looking to enter new markets, considering it’s seeing what it describes as “tremendous demand” in the markets it currently serves directly and through its partner network.
“While we support customers across the globe, we’ll stay focused on growing our North American, U.K. and European business in the near term,” Madeley said.
Vena says it leverages the “flexibility and familiarity” of an Excel interface within its “secure” Complete Planning platform. That platform, it adds, brings people, processes and systems into a single source solution to help organizations automate and streamline finance-led processes, accelerate complex business processes and “connect the dots between departments and plan with the power of unified data.”
Early backers JMI Equity and Centana Growth Partners will remain active, partnering with Vista “to help support Vena’s continued momentum,” the company said. As part of the raise, Vista Equity Managing Director Kim Eaton and Marc Teillon, senior managing director and co-head of Vista’s Foundation Fund, will join the company’s board.
“The pandemic has emphasized the need for agile financial planning processes as companies respond to quickly-changing market conditions, and Vena is uniquely positioned to help businesses address the challenges required to scale their processes through this pandemic and beyond,” said Eaton in a written statement.
Vena currently has more than 450 employees across the U.S., Canada and the U.K., up from 393 last year at this time.
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