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Vercel raises $102M Series C for its front-end development platform
Vercel, the company behind the popular open-source Next.js React framework, today announced that it has raised a $102 million Series C funding round led by Bedrock Capital. Existing investors Accel, CRV, Geodesic Capital, Greenoaks Capital and GV also participated in this round, together with new investors 8VC, Flex Capital, GGV, Latacora, Salesforce Ventures and Tiger Global. In total, the company has now raised $163 million and its current valuation is $1.1 billion.
As Vercel notes, the company saw strong growth in recent months, with traffic to all sites and apps on its network doubling since October 2020. The number of sites among the world’s largest 10,000 websites that use Next.js grew 50% in the same time frame, too.
Image Credits: Vercel
Given the open-source nature of the Next.js framework, not all of these users are obviously Vercel customers, but its current paying customers include the likes of Carhartt, Github, IBM, McDonald’s and Uber.
“For us, it all starts with a front-end developer,” Vercel CEO Guillermo Rauch told me. “Our goal is to create and empower those developers — and their teams — to create delightful, immersive web experiences for their customers.”
With Vercel, Rauch and his team took the Next.js framework and then built a serverless platform that specifically caters to this framework and allows developers to focus on building their front ends without having to worry about scaling and performance.
Older solutions, Rauch argues, were built in isolation from the cloud platforms and serverless technologies, leaving it up to the developers to deploy and scale their solutions. And while some potential users may also be content with using a headless content management system, Rauch argues that increasingly, developers need to be able to build solutions that can go deeper than the off-the-shelf solutions that many businesses use today.
Rauch also noted that developers really like Vercel’s ability to generate a preview URL for a site’s front end every time a developer edits the code. “So instead of just spending all your time in code review, we’re shifting the equation to spending your time reviewing or experiencing your front end. That makes the experience a lot more collaborative,” he said. “So now, designers, marketers, IT, CEOs […] can now come together in this collaboration of building a front end and say, ‘that shade of blue is not the right shade of blue.’”
“Vercel is leading a market transition through which we are seeing the majority of value-add in web and cloud application development being delivered at the front end, closest to the user, where true experiences are made and enjoyed,” said Geoff Lewis, founder and managing partner at Bedrock. “We are extremely enthusiastic to work closely with Guillermo and the peerless team he has assembled to drive this revolution forward and are very pleased to have been able to co-lead this round.”
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Holy Grail raises $2.7M seed fund to create modular carbon capture devices
The founders of Holy Grail, a two-year-old startup based in Mountain View, California, are taking a micro approach to solving the outsized problem of capturing carbon.
The startup is prototyping a direct air carbon capture device that is modular and small — a departure from the dozens of projects in the U.S. and abroad that aim to capture CO2 from large, centralized emitters, like power plants or industrial facilities. Holy Grail co-founder Nuno Pereira told TechCrunch that this approach will reduce costs and eliminate the need for permits or project financing.
While Holy Grail has a long development and testing phase ahead, the idea has captured the attention and capital from well-known investors and Silicon Valley founders. Holy Grail recently raised $2.7 million in seed funding from LowerCarbon Capital, Goat Capital, Stripe founder Patrick Collison, Charlie Songhurst, Cruise co-founder Kyle Vogt, Songkick co-founder Ian Hogarth, Starlight Ventures and 35 Ventures. Existing investors Deep Science Ventures, Y Combinator and Oliver Cameron, who co-founded Voyage, the autonomous vehicle acquired by Cruise, also participated.
The carbon capture device is still in the prototype stage, Pereira said, with many specifics — such as the anticipated size of the end product and how long it will likely function — still to be worked out. Cost-effectively separating CO2 from the air is an extremely difficult problem to solve. The company is in the process of filing patents for the technology, so he declined to be too specific about many characteristics of the device, including what it will be made out of. But he did stress that the company is taking a fundamentally different technical approach to carbon capture.
“The current technologies, they are very complex. They are basically either [using] temperature or pressure [to capture carbon],” he said. “There is a lot of things that go into it, compressors, calciners and all these things,” referring to additional parts like mechanical pumps, cryogenic air separators and large quantities of water and energy. Pereira said the company will instead use electricity to control a chemical reaction that binds to the CO2. He added that Holy Grail’s devices are not dependent on scale to achieve cost reductions, either. And they will be modular, so they can be stacked or configured depending on a customer’s requirements.
The scrubbers, as Pereira calls them, will focus on raw capture of CO2 rather than conversion (converting the CO2 into fuels, for example). Pereira instead explained — with a heavy caveat that much about the end product still needs to be figured out — that once a Holy Grail unit is full, it could be collected by the company, though where the carbon will end up is still an open question.
The company will start by selling carbon credits, using its devices as the carbon reducing project. The end goal is selling the scrubbers to commercial customers and eventually even individual consumers. That’s right: Holy Grail wants you to have your own carbon capture device, possibly even right in your backyard. But the company still likely has a long road ahead of it.
“We’re essentially shifting the scaling factor from building a very large mega-ton plant and having the project management and all that stuff to building scrubbers in an assembly line, like a consumer product to be manufactured.”
Pereira said many approaches will be needed to tackle the mammoth problem of reducing the amount of CO2 in the atmosphere. “The problem is just too big,” he said.
The story has been updated to reflect that Holy Grail is based in Mountain View, not Cupertino.
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Memory.ai, the startup behind time-tracking app Timely, raises $14M to build more AI-based productivity apps
Time is your most valuable asset — as the saying goes — and today a startup called Memory.ai, which is building AI-based productivity tools to help you with your own time management, is announcing some funding to double down on its ambitions: It wants not only to help manage your time, but to, essentially, provide ways to use it better in the future.
The startup, based out of Oslo, Norway, initially made its name with an app called Timely, a tool for people to track time spent doing different tasks. Aimed not just at people who are quantified self geeks, but those who need to track time for practical reasons, such as consultants or others who work on the concept of billable hours. Timely has racked up 500,000 users since 2014, including more than 5,000 paying businesses in 160 countries.
Now, Memory.ai has raised $14 million as it gears up to launch its next apps, Dewo (pronounced “De-Voh”), an app that is meant to help people do more “deep work” by learning about what they are working on and filtering out distractions to focus better; and Glue, described as a knowledge hub to help in the creative process. Both are due to be released later in the year.
The funding is being led by local investors Melesio and Sanden, with participation from Investinor, Concentric and SNÖ Ventures, who backed Memory.ai previously.
“Productivity apps” has always been something of a nebulous category in the world of connected work. They can variously cover any kind of collaboration management software ranging from Asana and Jira through to Slack and Notion; or software that makes doing an existing work task more efficient than you did it before (e.g. Microsoft has described all of what goes into Microsoft 365 — Excel, Word, PowerPoint, etc. — as “productivity apps”); or, yes, apps like those from Memory.ai that aim to improve your concentration or time management.
These days, however, it feels like the worlds of AI and advances in mobile computing are increasingly coming together to evolve that concept once again.
If the first wave of smartphone communications and the apps that are run on smartphone devices — social, gaming, productivity, media, information, etc. — have led to us getting pinged by a huge amount of data from lots of different places, all of the time, then could it be that the second wave is quite possibly going to usher in a newer wave of tools to handle all that better, built on the premise that not everything is of equal importance? No-mo FOMO? We’ll see.
In any case, some bigger platform players also helping to push the agenda of what productivity means in this day and age.
For example, in Apple’s recent preview of iOS 15 (due to come out later this year) the company gave a supercharge to its existing “do not disturb” feature on its phones, where it showed off a new Focus mode, letting users customize how and when they want to receive notifications from which apps, and even which apps they want to have displayed, all organized by different times of day (e.g. work time), place, calendar items and so on.
“Today, iPhone plays so many roles in our lives. It’s where we get information, how people reach us, and where we get things done. This is great, but it means our attention is being pulled in so many different directions and finding that balance between work and life can be tricky,” said Apple’s Craig Federighi in the WWDC keynote earlier this month. “We want to free up space to focus and help you be in the moment.” How well that gets used, and how much other platforms like Google follow suit, will be interesting to see play out. It feels, in any case, like it could be the start of something.
And, serendipitously — or maybe because this is some kind of zeitgeist — this is also playing into what Memory.ai has built and is building.
Mathias Mikkelsen, the Oslo-based founder of Memory.ai, first came up with his idea for Timely (which had also been the original name of the whole startup) when he was working as a designer in the ad industry, one of those jobs that needed to track what he was working on, and for how long, in order to get paid.
He said he knew the whole system as it existed was inefficient: “I just thought it was insane how cumbersome and old it was. But at the same time how important it was for the task,” he said.
The guy had an entrepreneurial itch that he was keen to scratch, and this idea would become the salve to help him. Mikkelsen was so taken with building a startup around time management, that he sold his apartment in Oslo and moved himself to San Francisco to be where he believed was the epicenter of startup innovation. He tells me he lived off the proceeds of his flat for two years “in a closet” in a hacker house, bootstrapping Timely, until eventually getting into an accelerator (500 Startups) and subsequently starting to raise money. He eventually moved back to Oslo after two years to continue growing the business, as well as to live somewhere a little more spacious.
The startup’s big technical breakthrough with Timely was to figure out an efficient way of tracking time for different tasks, not just time worked on anything, without people having to go through a lot of data entry.
The solution: to integrate with a person’s computer, plus a basic to-do schedule for a day or week, and then match up which files are open when to determine how long one works for one client or another. Phone or messaging conversations, for the moment, are not included, and neither are the contents of documents — just the titles of them. Nor is data coming from wearable devices, although you could see how that, too, might prove useful.
The basic premise is to be personalised, so managers and others cannot use Timely to track exactly what people are doing, although they can track and bill for those billable hours. All this is important, as it also will feed into how Dewo and Glue will work.
The startup’s big conceptual breakthrough came around the same time: Getting time tracking or any productivity right “has never been a UI problem,” Mikkelsen said. “It’s a human nature problem.” This is where the AI comes in, to nudge people towards something they identify as important, and nudge them away from work that might not contribute to that. Tackling bigger issues beyond time are essential to improving productivity overall, which is why Memory.ai now wants to extend to apps for carving out time for deep thinking and creative thinking.
While it might seem to be a threat that a company like Apple has identified the same time management predicament that Memory.ai has, and is looking to solve that itself, Mikkelsen is not fazed. He said he thinks of Focus as not unlike Apple’s work on Health: there will be ways of feeding information into Apple’s tool to make it work better for the user, and so that will be Memory.ai’s opportunity to hopefully grow, not cannibalize, its own audience with Timely and its two new apps. It is, in a sense, a timely disruption.
“Memory’s proven software is already redefining how businesses around the world track, plan and manage their time. We look forward to working with the team to help new markets profit from the efficiencies, insights and transparency of a Memory-enabled workforce,” said Arild Engh, a partner at Melesio, in a statement.
Kjartan Rist, a partner at Concentric, added: “We continue to be impressed with Memory’s vision to build and launch best-in-class products for the global marketplace. The company is well on its way to becoming a world leader in workplace productivity and collaboration, particularly in light of the remote and hybrid working revolution of the last 12 months. We look forward to supporting Mathias and the team in this exciting new chapter.”
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DataRails books $25M more to build better financial reporting tools for SMBs
As enterprise startups continue to target interesting gaps in the market, we’re seeing increasingly sophisticated tools getting built for small and medium businesses — traditionally a tricky segment to sell to, too small for large enterprise tools, and too advanced in their needs for consumer products. In the latest development of that trend, an Israeli startup called DataRails has raised $25 million to continue building out a platform that lets SMBs use Excel to run financial planning and analytics like their larger counterparts.
The funding closes out the company’s Series A at $43.5 million, after the company initially raised $18.5 million in April (some at the time reported this as its Series A, but it seems the round had yet to be completed). The full round includes Zeev Ventures, Vertex Ventures Israel and Innovation Endeavors, with Vintage Investment Partners added in this most recent tranche. DataRails is not disclosing its valuation, except to note that it has doubled in the last four months, with hundreds of customers and on target to cross 1,000 this year, with a focus on the North American market. It has raised $55 million in total.
The challenge that DataRails has identified is that on one hand, SMBs have started to adopt a lot more apps, including software delivered as a service, to help them manage their businesses — a trend that has been accelerated in the last year with the pandemic and the knock-on effect that has had for remote working and bringing more virtual elements to replace face-to-face interactions. Those apps can include Salesforce, NetSuite, Sage, SAP, QuickBooks, Zuora, Xero, ADP and more.
But on the other hand, those in the business who manage finances and financial reporting are lacking the tools to look at the data from these different apps in a holistic way. While Excel is a default application for many of them, they are simply reading lots of individual spreadsheets rather than integrated data analytics based on the numbers.
DataRails has built a platform that can read the reported information, which typically already lives in Excel spreadsheets, and automatically translate it into a bigger picture view of the company.
For SMEs, Excel is such a central piece of software, yet such a pain point for its lack of extensibility and function, that this predicament was actually the germination of starting DataRails in the first place,
Didi Gurfinkel, the CEO who co-founded the company with Eyal Cohen (the CPO) said that DataRails initially set out to create a more general-purpose product that could help analyze and visualize anything from Excel.
Image: DataRails
“We started the company with a vision to save the world from Excel spreadsheets,” he said, by taking them and helping to connect the data contained within them to a structured database. “The core of our technology knows how to take unstructured data and map that to a central database.” Before 2020, DataRails (which was founded in 2015) applied this to a variety of areas with a focus on banks, insurance companies, compliance and data integrity.
Over time, it could see a very specific application emerging, specifically for SMEs: providing a platform for FP&A (financial planning and analytics), which didn’t really have a solution to address it at the time. “So we enabled that to beat the market.”
“They’re already investing so much time and money in their software, but they still don’t have analytics and insight,” said Gurfinkel.
That turned out to be fortunate timing, since “digital transformation” and getting more out of one’s data was really starting to get traction in the world of business, specifically in the world of SMEs, and CFOs and other people who oversaw finances were already looking for something like this.
The typical DataRails customer might be as small as a business of 50 people, or as big as 1,000 employees, a size of business that is too small for enterprise solutions, “which can cost tens of thousands of dollars to implement and use,” added Cohen, among other challenges. But as with so many of the apps that are being built today to address those using Excel, the idea with DataRails is low-code or even more specifically no-code, which means “no IT in the loop,” he said.
“That’s why we are so successful,” he said. “We are crossing the barrier and making our solution easy to use.”
The company doesn’t have a huge number of competitors today, either, although companies like Cube (which also recently raised some money) are among them. And others like Stripe, while currently not focusing on FP&A, have most definitely been expanding the tools that it is providing to businesses as part of their bigger play to manage payments and subsequently other processes related to financial activity, so perhaps it, or others like it, might at some point become competitors in this space as well.
In the meantime, Gurfinkel said that other areas that DataRails is likely to expand to cover alongside FP&A include HR, inventory and “planning for anything,” any process that you have running in Excel. Another interesting turn would be how and if DataRails decides to look beyond Excel at other spreadsheets, or bypass spreadsheets altogether.
The scope of the opportunity — in the U.S. alone there are more than 30 million small businesses — is what’s attracting the investment here.
“We’re thrilled to reinvest in DataRails and continue working with the team to help them navigate their recent explosive and rapid growth,” said Yanai Oron, general partner at Vertex Ventures, in a statement. “With innovative yet accessible technology and a tremendous untapped market opportunity, DataRails is primed to scale and become the leading FP&A solution for SMEs everywhere.”
“Businesses are constantly about to start, in the midst of, or have just finished a round of financial reporting — it’s a never-ending cycle,” added Oren Zeev, founding partner at Zeev Ventures. “But with DataRails, FP&A can be simple, streamlined, and effective, and that’s a vision we’ll back again and again.”
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Transform launches with $24.5M in funding for a tool to query and build metrics out of data troves
The biggest tech companies have put a lot of time and money into building tools and platforms for their data science teams and those who work with them to glean insights and metrics out of the masses of data that their companies produce: how a company is performing, how a new feature is working, when something is broken, or when something might be selling well (and why) are all things you can figure out if you know how to read the data.
Now, three alums that worked with data in the world of Big Tech have founded a startup that aims to build a “metrics store” so that the rest of the enterprise world — much of which lacks the resources to build tools like this from scratch — can easily use metrics to figure things out like this, too.
Transform, as the startup is called, is coming out of stealth today, and it’s doing so with an impressive amount of early backing — a sign not just of investor confidence in these particular founders, but also the recognition that there is a gap in the market for, as the company describes it, a “single source of truth for business data” that could be usefully filled.
The company is announcing that it has closed, while in stealth, a Series A of $20 million, and an earlier seed round of $4.5 million — both led by Index Ventures and Redpoint Ventures. The seed, the company said, also had dozens of angel investors, with the list including Elad Gil of Color Genomics, Lenny Rachitsky of Airbnb and Cristina Cordova of Notion.
The big breakthrough that Transform has made is that it’s built a metrics engine that a company can apply to its structured data — a tool similar to what Big Tech companies have built for their own use, but that hasn’t really been created (at least until now) for others who are not those Big Tech companies to use, too.
Transform can work with vast troves of data from the warehouse, or data that is being tracked in real time, to generate insights and analytics about different actions around a company’s products. Transform can be used and queried by nontechnical people who still have to deal with data, Handel said.
The impetus for building the product came to Nick Handel, James Mayfield and Paul Yang — respectively Transform’s CEO, COO and software engineer — when they all worked together at Airbnb (previously Mayfield and Yang were also at Facebook together) in a mix of roles that included product management and engineering.
There, they could see firsthand both the promise that data held for helping make decisions around a product, or for measuring how something is used, or to plan future features, but also the demands of harnessing it to work, and getting everyone on the same page to do so.
“There is a growing trend among tech companies to test every single feature, every single iteration of whatever. And so as a part of that, we built this tool [at Airbnb] that basically allowed you to define the various metrics that you wanted to track to understand your experiment,” Handel recalled in an interview. “But you also want to understand so many other things like, how many people are searching for listings in certain areas? How many people are instantly booking those listings? Are they contacting customer service, are they having trust and safety issues?” The tool Airbnb built was Minerva, optimised specifically for the kinds of questions Airbnb might typically have for its own data.
“By locking down all of the definitions for the metrics, you could basically have a data engineering team, a centralized data infrastructure team, do all the calculation for these metrics, and then serve those to the data scientists to then go in and do kind of deeper, more interesting work, because they weren’t bogged down in calculating those metrics over and over,” he continued. This platform evolved within Airbnb. “We were really inspired by some of the early work that we saw happen on this tool.”
The issue is that not every company is built to, well, build tools like these tailored to whatever their own business interests might be.
“There’s a handful of companies who do similar things in the metrics space,” Mayfield said, “really top flight companies like LinkedIn, Airbnb and Uber. They have really started to invest in metrics. But it’s only those companies that can devote teams of eight or 10, engineers, designers who can build those things in house. And I think that was probably, you know, a big part of the impetus for wanting to start this company was to say, not every organization is going to be able to devote eight or 10 engineers to building this metrics tool.”
And the other issue is that metrics have become an increasingly important — maybe the most important — lever for decision making in the world of product design and wider business strategy for a tech (and maybe by default, any) company.
We have moved away from “move fast and break things.” Instead, we now embrace — as Mayfield put it — “If you can’t measure it, you can’t move it.”
Image Credits: Transform (opens in a new window)
Transform is built around three basic priorities, Handel said.
The first of these has to do with collective ownership of metrics: by building a single framework for measuring these and identifying them, their theory is that it’s easier for a company to all get on the same page with using them. The second of these is to use Transform to simply make the work of the data team more efficient and easier, by turning the most repetitive parts of extracting insights into automated scripts that can be used and reused, giving the data team the ability to spend more time analyzing the data rather than just building data sets. And third of all, to provide customers with APIs that they can use to embed the metric-extracting tools into other applications, whether in business intelligence or elsewhere.
The three products it’s introducing today, called Metrics Framework, Metrics Catalog and Metrics API, follow from these principles.
Transform is only really launching publicly today, but Handel said that it’s already working with a small handful of customers (unnamed) in a small beta, enough to be confident that what it’s built works as it was intended. The funding will be used to continue building out the product as well as bring on more talent and hopefully onboard more businesses to using it.
Hopefully might be less a tenuous word than its investors would use, convinced that it’s filling a strong need in the market.
“Transform is filling a critical gap within the industry. Just as we invested in Looker early on for its innovative approach to business intelligence, Transform takes it one step further by providing a powerful yet streamlined single source of truth for metrics,” said Tomasz Tunguz, MD, Redpoint Ventures, in a statement.
“We’ve seen companies across the globe struggle to make sense of endless data sources or turn them into actionable, trusted metrics. We invested in Transform because they’ve developed an elegant solution to this problem that will change how companies think about their data,” added Shardul Shah, a partner at Index Ventures.
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Neo4j raises Neo$325M as graph-based data analysis takes hold in enterprise
Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make it more difficult to drop out of a soporific Zoom call, but few companies are ever willing to rip out their database storage engine. Too much risk, and almost no return.
So it’s exceptional when a new database offering breaks through the barriers and redefines the enterprise.
Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with additional capital from Alphabet’s venture wing GV. Eurazeo managing director Nathalie Kornhoff-Brüls will join the company’s board of directors.
That funding makes Neo4j among the most well-funded database companies in history, with a collective fundraise haul of more than half a billion dollars. For comparison, MongoDB, which trades on Nasdaq, raised $311 million in total (according to Crunchbase) before its IPO. Meanwhile, Cockroach Labs of CockroachDB fame has now raised $355 million in funding, including a $160 million round earlier this year at a similar $2 billion valuation.
The past decade has seen a whole new crop of next-generation database models, from scale-out SQL to document to key-value stores to time series and on and on and on. What makes graph databases like Neo4j unique is their focus on the connections between individual data entities. Graph-based data models have become central to modern machine learning and artificial intelligence applications, and are now widely used by data analysts in applications as diverse as marketing to fraud detection.
CEO and co-founder Emil Eifrem said that Neo4j, which was founded back in 2007, has hit its growth stride in recent years given the rising popularity of graph-based analysis. “We have a deep developer community of hundreds of thousands of developers actively building applications with Neo4j in any given month, but we also have a really deep data science community,” he said.
In the past, most business analysis was built on relational databases. Yet, inter-connected complexity is creeping in everywhere, and that’s where Eifrem believes Neo4j has a durable edge. As an example, “any company that ships stuff is tapping into this global fine-grain mesh spanning continent to continent,” he suggested. “All of a sudden the ship captain in the Suez Canal … falls asleep, and then they block the Suez Canal for a week, and then you’ve got to figure out how will this affect my enterprise, how does that cascade across my entire supply chain.” With a graph model, that analysis is a cinch.
Neo4j says that 800 enterprises are customers and 75% of the Fortune 100 are users of the company’s products.
We last checked in with the company in 2020 when it launched 4.0, which offered unlimited scaling. Today, Neo4j comes in a couple of different flavors. It’s a database that can be either self-hosted or purchased as a cloud service offering which it dubs Aura. That’s for the data storage folks. For the data scientists, the company offers Neo4j Graph Data Science Library, a set of comprehensive tools for analyzing graph data. The company offers free (or “community” tiers), affordable starting tiers and full-scale enterprise pricing options depending on needs.
Development continues on the database. This morning at its developers conference, Neo4j demonstrated what it dubbed its “super-scaling technology” on a 200 billion node graph with more than a trillion relationships between them, showing how its tools could offer “real-time” queries on such a large scale.
Unsurprisingly, Eifrem said that the new venture funding will be used to continue doubling down on “product, product, product” but emphasized a few major strategic initiatives as critical for the company. First, he wants to continue to deepen the company’s partnerships with public cloud providers. It already has a deep relationship with Google Cloud (GV was an investor in this round after all), and hopes to continue building relationships with other providers.
It’s also seeing a major uptick in interest from the APAC region. Eifrem said that the company recently opened up an office in Singapore to accelerate its sales in the broader IT market there.
Overall, “We think that graphs can be a significant part of the modern data landscape. In fact, we believe it can be the biggest part of the modern data landscape. And this round, I think, sends a clear signal [that] we’re going for it,” he said.
Erik Nordlander and Tom Hulme of GV were the leads for that firm. In addition, DTCP and Lightrock newly invested and previous investors One Peak, Creandum and Greenbridge Partners joined the round.
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Nylas, maker of APIs to integrate email and other productivity tools, raises $120M, passes 80K developers
Companies like Stripe and Twilio have put APIs front and center as an effective way to integrate complex functionality that may not be core to your own technology stack but is a necessary part of your wider business. Today, a company that has taken that model to create an effective way to integrate email, calendars and other tools into other apps using APIs is announcing a big round of funding to expand its business.
Nylas, which describes itself as a communications API platform — enabling more automation particularly in business apps by integrating productivity tools through a few lines of code — has raised $120 million in funding, money that it will be using to continue expanding the kinds of APIs that it offers, with a focus in particular not just on productivity apps, but AI and related tools to bring more automation into workflows.
Nylas is not disclosing its valuation, but this is a very significant step up for the company at a time when it is seeing strong traction.
This is more than double what Nylas had raised up to now ($55 million since being founded in 2015), and when it last raised — a $16 million Series B in 2018 — it said it had “thousands of developers” among its users. Now, that number has ballooned to 80,000, with Nylas processing some 1.2 billion API requests each day, working out to 20 terabytes of data, daily. It also said that revenue growth tripled in the last 12 months.
The Series C is bringing a number of interesting names to Nylas’s cap table. New investor Tiger Global Management is leading the round, with previous backers Citi Ventures, Slack Fund, 8VC and Round13 Capital also participating. Other new backers in this round include Owl Rock Capital, a division of Blue Owl; Stripe co-founders Patrick Collison and John Collison; Klarna CEO Sebastian Siemiatkowski; and Tony Fadell.
As with other companies in the so-called API economy, the gap and opportunity that Nylas has identified is that there are a lot of productivity tools that largely exist in their own silos — meaning when a person wants to use them when working in an application, they have to open a separate application to do so. At the same time, building new, say, tools, or building a bridge to integrate an existing application, can be time-consuming and complex.
Nylas first identified this issue with email. An integration to make it easier to use email and the data housed in it — which works with emails from major providers like Microsoft and Google, as well as other services built with the IMAP protocol — in other apps picked up a lot of followers, leading the company to expand into other areas that today include scheduling and calendaring, a neural API to build in tools like sentiment analysis or productivity or workflow automation; and security integrations to streamline the Google OAuth security review process (used for example in an app geared at developers).
“The fundamental shift towards digital communications and connectivity has resulted in companies across all industries increasingly leaning on developers to solve critical business challenges and build unique and engaging products and experiences. As a result, APIs have become core to modern software development and digital transformation,” Gleb Polyakov, co-founder and CEO of Nylas, said in statement.
“Through our suite of powerful APIs, we’re arming developers with the tools and applications needed to meet customer and market needs faster, create competitive differentiation through powerful and customized user experiences, and generate operational ROI through more productive and intelligently automated processes and development cycles. We’re thrilled to continue advancing our mission to make the world more productive and are honored to have the backing of distinguished investors and entrepreneurs.”
Indeed, the rise of Nylas and the function it fulfills is part of a bigger shift we’ve seen in businesses overall: as organizations become more digitized and use more cloud-based apps to get work done, developers have emerged as key mechanics to help that machine run. A bigger emphasis on APIs to integrate services together is part of their much-used toolkit, one of the defining reasons for investors backing Nylas today.
“Companies are rapidly adopting APIs as a way to automate productivity and find new and innovative ways to support modern work and collaboration,” said John Curtius, a partner at Tiger, in a statement. “This trend has become critical to creating frictionless and meaningful data-driven communications that power digital transformation. We believe Nylas is uniquely positioned to lead the future of the API economy.” Curtius is joining the board with this round.
Corrected to note that Blue Owl is not connected to State Farm.
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Beamery raises $138M at an $800M valuation for its ‘operating system for recruitment’
Online job listings were one of the first things to catch on in the first generation of the internet. But that has, ironically, also meant that some of the most-used digital recruitment services around today are also some of the least evolved in terms of tapping into all of the developments that tech has to offer, leaving the door open for some disruption. Today, one of the startups doing just that is announcing a big round of funding to double down on its growth so far.
Beamery, which has built what it describes as a “talent operating system” — a way to manage sourcing, hiring and retaining of people, plus analyzing the bigger talent picture for an organization, a “talent graph” as Beamery calls it, in an all-in-one, end-to-end service — has raised $138 million, money that it plans to use to continue building out more technology, as well as growing its business, which has been expanding quickly and saw 337% revenue growth year over year in Q4.
The Ontario Teachers’ Pension Plan Board (Ontario Teachers’), a prolific tech investor, is leading the round by way of its Teachers’ Innovation Platform (TIP). Other participants in this Series C include several strategic backers who are also using Beamery: Accenture Ventures, EQT Ventures, Index Ventures, M12 (Microsoft’s venture arm) and Workday Ventures (the venture arm of the HR software giant).
Abakar Saidov, co-founder and CEO at London-based Beamery, told TechCrunch in an interview that it is not disclosing valuation, but sources in the know say it’s in the region of $800 million.
The round is coming on the heels of a very strong year for the company.
The “normal” way of doing things in the working world was massively upended with the rise of COVID-19 in early 2020, and within that, recruitment was among one of the most impacted areas. Not only were people applying and interviewing for jobs completely remotely, but in many cases they were getting hired, onboarded and engaged into new jobs without a single face-to-face interaction with a recruiter, manager or colleague.
And that’s before you consider the new set of constraints that HR teams were under in many places: variously, we saw hiring freezes, furloughs, layoffs and budget cuts (often more than one of these per business), and yet work still needed to get done.
All that really paved the way for platforms like Beamery’s — designed not only to be remote-friendly software-as-a-service running in the cloud, but to handle the whole recruiting and talent management process from a single place — to pick up new customers and prove its role as an updated, more user-friendly approach to the task of sourcing and placing talent.
“Traditional HR is very admin-heavy, and when you add in payroll and benefits, the systems that exist are very siloed,” said Saidov in the interview. “The innovation for us has been to move out of that construct and into something that is human, and has a human touch. From a data perspective, we’re creating the underlying system of record for all of the people touching a business. So when you build on top of that, everything looks like a consumer application.”
In the last 12 months, the company said that customers — which are in the area of large enterprises and include COVID vaccine maker AstraZeneca, Autodesk, Nasdaq, several major tech giants and strategic investor Workday — filled 1 million roles through its platform, a figure that includes not just sourcing and placing candidates from outside of an organization’s walls, but also filling roles internally.
The work that Beamery is doing is definitely helping the business not just pull its weight — its last round was a much more modest $28 million, which was raised way back in 2018 — but grow and invest in new services.
The company said it had a year-on-year increase of 462% in jobs posted across its customer base. A year before that (which would have extended into pre-pandemic 2019), the number of candidates pipelined increased by a mere 46%, pointing to acceleration.
Beamery today already offers a pretty wide range of different services.
They include tools to source candidates. This can be done organically by creating your own job boards to be found by anyone curious enough to look, and by leveraging other job boards on other platforms like LinkedIn, the Microsoft-owned professional networking platform that counts “Talent Solutions” — i.e. recruitment — as one of its primary business lines. (Recall Microsoft is one of Beamery’s backers.) It also provides tools to create and manage online recruitment events.
Beamery also offers tools to help people get the word out about a role, with a service akin to programmatic advertising (similar to ZipRecruiter) to populate other job boards, or run more targeted executive recruitment searches. It also provides a way for HR teams to create internal recruitment processes, and also run surveys with existing teams to get a better picture of the state of play.
And it has some analytics tools in place to measure how well recruitment drives, retention and other metrics are evolving to help plan what to do in the future.
The big question for me now is how and if Beamery will bring more into that universe. There have been some interesting startups emerging in the wider world of talent IT (if we could call it that) that could be interesting complements to what Beamery already has, or provide a roadmap for what it might try to build itself.
It includes much more extensive work on internal job boards (such as what Gloat has built); digging much deeper into building accurate pictures of who is at the company and what they do (see: ChartHop); or the many services that are building ways of sourcing and connecting with contractors, which are a huge, and growing, part of the talent equation for companies (see: Turing, Remote, Deel, Papaya Global, Lattice, Factorial and many others).
Beamery already includes contractors alongside full- and part-time roles that can be filled using its platform, but when it comes to managing those contractors, that’s something that Beamery does not do itself, so that could be one area where it might grow, too.
“The key reason enterprises work with us it to consolidate a bunch of workflows,” Saidov said. “HR hates having different systems and everything becomes easier when things interoperate well.” Employing contractors typically involves three elements: sourcing, management and scheduling, so Beamery will likely approach how it grows in that area by determining which piece might be “super core” the centralization of more data, he added.
Another two likely areas he hinted are on Beamery’s roadmap are assessments — that is, providing tools to recruiters who want to measure the skills of applicants for jobs (another startup-heavy area today) — and tools to help recruiters do their jobs better, whether that involves more native communications tools in video and messaging, as well as Gong-like coaching to help them measure and improve screening and interviewing.
It might also consider developing a version for smaller businesses to use.
Questions investors are happy to see considered, it seems, as they invest in what looks like a winner in the bigger race. TIP’s other investments have included ComplyAdvantage, Epic Games, Graphcore, KRY and SpaceX, a long run in a wide field.
“Leading companies worldwide are prioritising recruitment and retention. They are turning to Beamery for a best-in-class talent solution that can be seamlessly integrated with their business,” said Maggie Fanari, MD for TIP in Emea. “Beamery’s best-in-class approach is already recognized by top-tier companies. I’m excited by the company’s vision of to use technology to support long-term talent growth and build better businesses. Beamery is the first company to bring predictive marketing and data science into recruitment. They are a truly innovative company, building a vision that can shape the future of work — the company fits all the criteria we look for in a TIP investment and more.”
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SoftBank Vision Fund 2 leads $140M funding in Vishal Sikka’s Vianai
Vianai Systems, an AI startup founded by Vishal Sikka, former chief executive of Indian IT services giant Infosys, said on Wednesday it has raised $140 million in a round led by SoftBank Vision Fund 2.
The two-year-old startup said a number of industry luminaries also participated in the new round, which brings its total to-date raise to at least $190 million. The startup raised $50 million in its seed financing round, but there’s no word on the size of its Series A round.
Details about what exactly the Palo Alto-headquartered startup does is unclear. In a press statement, Dr. Vishal Sikka said the startup is building a “better AI platform, one that puts human judgment at the center of systems that bring vast AI capabilities to amplify human potential.” Sikka, 54, resigned from the top role at Infosys in 2017 after months of acrimony between the board and a cohort of founders.
“Vianai helps its customers amplify the transformation potential within their organizations using a variety of advanced AI and ML tools with a distinct approach in how it thoughtfully brings together humans with technology. This human-centered approach differentiates Vianai from other platform and product companies and enables its customers to fulfill AI’s true promise,” the startup said.
The startup claims it has already amassed as its customers many of the world’s largest and most respected businesses, including insurance giant Munich Re.
Its investors include Jim Davidson (co-founder of Silver Lake), Henry Kravis and George Roberts (co-founders of KKR), and Jerry Yang (founding partner of AME and co-founder of Yahoo). Dr. Fei-Fei Li (co-director of the Stanford Institute for Human-Centered AI) has joined Vianai Systems’ advisory board.
“With the AI revolution underway, we believe Vianai’s human-centered AI platform and products provide global enterprises with operational and customer intelligence to make better business decisions,” said Deep Nishar, senior managing partner at SoftBank Investment Advisers, in a statement. “We are pleased to partner with Dr. Sikka and the Vianai team to support their ambition to fulfill AI’s promise to drive fundamental digital transformations.”
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Novo, a neobank for SMBs, banks $41M
Small businesses have traditionally been underserved when it comes to IT — they are too big and have too many requirements that can’t be met by consumer products, yet are much too small to afford, implement or thoroughly need apps and other IT build for larger enterprises. But when it comes to neobanks, it feels like there is no shortage of options for the SMB market, nor venture funding being invested to help them grow.
In the latest development, Novo, a neobank that has built a service targeting small businesses, has closed a round of $40.7 million, a Series A that it will be using to continue growing its business, and its platform.
The funding is being led by Valar Ventures with Crosslink Capital, Rainfall Ventures, Red Sea Ventures and BoxGroup all participating. The startup is not disclosing valuation, but Novo — originally founded in New York in 2018 but now based out of Miami — has racked up 100,000 SMB customers — which it defines as businesses that make between $25,000 and $100,000 in annualized revenues — and has seen $1 billion in lifetime transactions, with growth accelerating in the last couple of years.
There are a wide variety of options for small businesses these days when it comes to going for a banking solution. They include staying with traditional banks (which are starting to add an increasing number of services and perks to retain small business customers), as well as a variety of fintechs — other neobanks, like Novo — that are building banking and related financial tools to cater to startups and other small businesses.
Just doing a quick search, some of the others targeting the sector include Rho, NorthOne, Lili, Mercury, Brex, Hatch, Anna, Tide, Viva Wallet, Open and many more (and you could argue also players like Amazon, offering other money management and spending tools similar to what neobanks are providing). Some of these are not in the U.S., and some are geared more at startups, or freelancers, but taken together they speak to the opportunity and also the attention that it is getting from the tech industry right now.
As CEO and co-founder Michael Rangel — who hails from Miami — described it to me, one of the key differentiators with Novo is that it’s approaching SMB banking from the point of view of running a small business. By this, he means that typically SMBs are already using a lot of other finance software — on average seven apps per business — to manage their books, payments and other matters, and so Novo has made it easier by way of a “drag and drop” dashboard where an SMB can integrate and view activity across all of those apps in one place. There are “dozens” of integrations currently, he said, and more are being added.
This is the first step, he said. The plan is to build more technology so that the activity between different apps can also be monitored, and potentially automated
“We’re able to see this is your balance and what you should expect,” he said. “The next frontier is to marry the incoming with outgoing. We’re using the funding to build that, and it’s on the roadmap in the next six months.”
Novo has yet to bring cash advances or other lending products into its platform, although those too are on the roadmap, but it is also listening to its customers and watching what they want to do on the platform — another reason why it’s clever to make it easy to for those customers to integrate other services into Novo: not only does that solve a pain point for the customer, but it becomes a pretty clear indicator of what customers are doing, and how you could better cater to that.
Listening to the customers is in itself becoming a happy challenge, it seems. Novo launched quietly enough — between 2018 and the end of 2019, it had picked up only 5,000 accounts. But all that changed during 2020 and the COVID-19 pandemic, which Rangel describes as “just hockey stick growth. We grew like crazy.”
The reason, he said, is a classic example of why incumbent banks have to catch up with the times. Everyone was locked down at home, and suddenly a lot of people who were either furloughed or laid off were “spinning up businesses,” he said, and that led to many of them needing to open bank accounts. But those who tried to do this with high-street banks were met with a pretty significant barrier: you had to go into the bank in person to authenticate yourself, but either the banks were closed, or people didn’t want to travel to them. That paved the way for Novo (and others) to cater to them.
Its customer numbers shot up to 24,000 in the year.
Then other market forces have also helped it. You might recall that banking app Simple was shut down by BBVA ahead of its merger with PNC; but at the same time, it also shut down Azlo, it’s small business banking service. That led to a significant number of users migrating to other services, and Novo got a huge windfall out of that, too.
In the last six months, Novo grew four-fold, and Rangel attributed a lot of that to ex-Azloans looking for a new home.
The fact that there are so many SMB banking providers out there might mean competition, but it also means fragmentation, and so if a startup emerges that seems to be catching on, it’s going to catch something else, too: the eye of investors.
“The ability of the Novo team to grow the company rapidly during a year where businesses have faced unprecedented challenges is impressive,” said Andrew McCormack, founding partner at Valar Ventures, the firm co-founded by Peter Thiel, another big figure in fintech. “Novo tripled its small business customer base in the first half of 2021! Their custom infrastructure and banking platform put them in prime position to expand their services at an even faster pace as we come out of the health crisis. All of us at Valar Ventures are excited to join this team.”
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