Posted by Richy George on 21 June, 2021

The IPO rush of 2021 continued this week with a fresh filing from NoSQL provider Couchbase. The company raised hundreds of millions while private, making its impending debut an important moment for a number of private investors, including venture capitalists.

According to PitchBook data, Couchbase was last valued at a post-money valuation of $580 million when it raised $105 million in May 2020. The company — despite its expansive fundraising history — is not a unicorn heading into its debut to the best of our knowledge.

We’d like to uncover whether it will be one when it prices and starts to trade, so we dug into Couchbase’s business model and its financial performance, hoping to better understand the company and its market comps.

The Couchbase S-1

The Couchbase S-1 filing details a company that sells database tech. More specifically, Couchbase offers customers database technology that includes what NoSQL can offer (“schema flexibility,” in the company’s phrasing), as well as the ability to ask questions of their data with SQL queries.

Couchbase’s software can be deployed on clouds, including public clouds, in hybrid environments, and even on-prem setups. The company sells to large companies, attracting 541 customers by the end of its fiscal 2021 that generated $107.8 million in annual recurring revenue, or ARR, by the close of last year.

Couchbase breaks its revenue into two main buckets. The first, subscription, includes software license income and what the company calls “support and other” revenues, which it defines as “post-contract support,” or PCS, which is a package of offerings, including “support, bug fixes and the right to receive unspecified software updates and upgrades” for the length of the contract.

The company’s second revenue bucket is services, which is self-explanatory and lower-margin than its subscription products.

Posted by Richy George on 21 June, 2021

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 using 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 its 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.

“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 focussing 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 are likely to 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.”

Posted by Richy George on 17 June, 2021

Coda entered the market with an ambitious, but simple, mission. Since launching in 2014, it has seemingly forged a path to realizing its vision with $140 million in funding and 25,000 teams across the globe using the platform.

Coda is simple in that its focus is on the document, one of the oldest content formats/tools on the internet, and indeed in the history of software. Its ambition lies in the fact that there are massive incumbents in this space, like Google and Microsoft.

Co-founder and CEO Shishir Mehrotra told TechCrunch that that level of competition wasn’t a hindrance, mainly because the company was very good at communicating its value and building highly effective flywheels for growth.

Mehrotra was generous enough to let us take a look through his pitch doc (not deck!) on a recent episode of Extra Crunch Live, diving not only into the factors that have made Coda successful, but how he communicated those factors to investors.

Extra Crunch Live also features the ECL Pitch-off, where founders in the audience come “onstage” to pitch their products to our guests. Mehrotra and his investor, Madrona partner S. Somasegar, gave their live feedback on pitches from the audience, which you can check out in the video (full conversation and pitch-off) below.

As a reminder, Extra Crunch Live takes place every Wednesday at 3 p.m. EDT/noon PDT. Anyone can hang out during the episode (which includes networking with other attendees), but access to past episodes is reserved exclusively for Extra Crunch members. Join here.

The soft circle

Like many investors and founders, Mehrotra and Somasegar met well before Mehrotra was working on his own project. They met when both of them worked at Microsoft and maintained a relationship while Mehrotra was at Google.

In their earliest time together, the conversations centered around advice on the Seattle tech ecosystem or on working with a particular team at Microsoft.

“Many people will tell you building relationships with investors … you want to do it outside of a fundraise as much as possible,” said Mehrotra.

Eventually, Mehrotra got to work on Coda and kept in touch with Somasegar. He even pitched him for Series B fundraising — and ultimately got a no. But the relationship persisted.

Posted by Richy George on 17 June, 2021

Robotic process automation (RPA) is rapidly moving beyond the early adoption phase across verticals. Automating just basic workflow processes has resulted in such tremendous efficiency improvements and cost savings that businesses are adapting automation at scale and across the enterprise.

While there is a technical component to robotic automation, RPA is not a traditional IT-driven solution. It is, however, still important to align the business and IT processes around RPA. Adapting business automation for the enterprise should be approached as a business solution that happens to require some technical support.

A strong working relationship between the CFO and CIO will go a long way in getting IT behind, and in support of, the initiative rather than in front of it.

More important to the success of a large-scale RPA initiative is support from senior business executives across all lines of business and at every step of the project, with clear communications and an advocacy plan all the way down to LOB managers and employees.

As we’ve seen in real-world examples, successful campaigns for deploying automation at scale require a systematic approach to developing a vision, gathering stakeholder and employee buy-in, identifying use cases, building a center of excellence (CoE) and establishing a governance model.

Create an overarching vision

Your strategy should include defining measurable, strategic objectives. Identify strategic areas that benefit most from automation, such as the supply chain, call centers, AP or revenue cycle, and start with obvious areas where business sees delays due to manual workflow processes. Remember, the goal is not to replace employees; you’re aiming to speed up processes, reduce errors, increase efficiencies and let your employees focus on higher value tasks.

Posted by Richy George on 17 June, 2021

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 non-technical 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 first-hand 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 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.”

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 datasets. 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 Tungis, 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.

Posted by Richy George on 17 June, 2021

Free money from the government sounds like winning the lottery, but the reality is that most tech startups and even local retail businesses and restaurants can potentially qualify for tax credits related to research and development in the United States. Those credits, which is what helps tech giants keep their tax rates to near zero, are hard for smaller companies to receive because of extensive documentation requirements and potential audit costs.

So a number of startups have been launched to solve that gap, and now, larger companies are entering the fray as well.

Gusto, which started off with payroll for SMBs and has since expanded into employee on-boarding, insurance, benefits, and other HR offerings, today announced that it is acquiring Ardius, a startup designed to automate tax compliance particularly around R&D tax credits.

The Los Angeles-based company was founded by Joshua Lee in 2018, who previously had worked for more than a decade at accounting firm EY. Terms of the deal were not disclosed, and Ardius will run as an independent business with the entire team transitioning to Gusto.

The strategy here is simple: most R&D credits require payroll documentation, data that is already stored in Gusto’s system of record. Ardius in its current incarnation was designed to tap into a number of payroll data providers and extract that data and turn it into verifiable tax documents. With this tie-up, the companies can simply do that automatically for Gusto’s extensive number of customers.

Joshua Reeves, co-founder and CEO of Gusto, said that the acquisition falls in line with the company’s long-term focus on customers and simplicity. “We want to bring together technology, great service, [and] make government simpler,” he said. “In some ways, a lot of stuff we’re doing — make payroll simpler, make healthcare simpler, make PPP [loans] and tax credits simpler — just make these things work the way they’re intended to work.” The company presumably could have built out such functionality, but he noted that “time to market” was a crucial point in making Ardius the company’s first acquisition.

Tomer London, co-founder and chief product officer, said that “we’ve been looking at this space for a long time because it kind of connects to one of our original product principles of building a product that is opinionated,” he said. In a space as complicated as HR, “we want to be out there and be an advisor, not just a tool. And this is just such a great example of where you can take the payroll data that we already have and in just a few clicks and in a matter of a few days, get access to really important cash flow for a business.” He noted that tax credits is “something that’s been on our roadmap for a long time.”

Gusto works with more than 100 third-party services that integrate on top of its platform. Reeves emphasized that while Ardius is part of Gusto, all companies — even those who might compete directly with the product — will continue to have equal access to the platform’s data. In its release, the company pointed out that Boast.ai, Clarus, Neo.Tax, and TaxTaker are just some of the other tax products that integrate with Gusto today.

Of course, Ardius is just one of a number of competitors that have popped up in the R&D and economic development tax credit space. MainStreet, which I last profiled in 2020 for its seed round, just raised $60 million in funding in March led by SignalFire. Meanwhile, Neo.tax, which I also profiled last year, has raised a total of $5.5 million.

Reeves was sanguine about the attention the space is garnering and the potential competition for Ardius. When it comes to R&D tax credits, “whatever creates more accessibility, we’re a fan of,” he said. “It’s great that there’s more awareness because it’s still under-utilized frankly.” He emphasized that Gusto would be able to offer a more vertically-integrated solution given its data and software than other competitors in the space.

While the pandemic particularly hit SMBs, who often lacked the financial wherewithal of larger companies to survive the crisis, Gusto actually expanded its business as new companies sprouted up. Reeves said the company grew its customer base 50% in its last fiscal year, which ended in April. It “turns out in a health pandemic and in an economic crisis, things like payroll and accessing health care are quite important,” he said. Gusto launched a program to help SMBs collect the government’s stimulus PPP loans.

The company’s main bases of operation are in San Francisco, Denver and New York City, and the company has a growing contingent of remote workers, including the Ardius crew, who will remain based in LA. While Reeves demurred on future acquisitions, Gusto’s focus on expanding to a comprehensive financial wellness platform for both employees and businesses would likely suggest that additional acquisitions may well be in the offing in the future.

Posted by Richy George on 17 June, 2021

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.

Posted by Richy George on 17 June, 2021

Google this morning announced the launch of Tau, a new family of virtual machines built on AMD’s third-gen EPYC processor. According to the company, the new x86-compatible system offers a 42% price-performance boost over standard VMs. Google notably first started utilizing AMD EPYC processors for Cloud back in 2017, while Amazon Cloud’s offerings date back to 2018.

Google claims the Tau family “leapfrogs” existing cloud VMs. The systems come in a variety of configurations, ranging up to 60vCPUs per VM, and 4GB of memory per vCPU. Networking bandwidth goes up to 32 Gbps, and they can be coupled with a variety of different network attached storage.

“Customers across every industry are dealing with more demanding and data-intensive workloads and looking for strategic ways to speed up performance and reduce costs,” Google Cloud CEO Thomas Kurian said in a press release.  “Our work with key strategic partners like AMD has allowed us to broaden our offerings and deliver customers the best price performance for compute-heavy, business-critical applications– all on the cleanest cloud in the industry.”

Google has already signed up some high-profile customers for an early trial, including Twitter, Snap and DoIT.

“High performance at the right price point is a critical consideration as we work to serve the global public conversation,” Twitter Platform Lead Nick Tornow said in a blog post. “We are excited by initial tests that show potential for double digit performance improvement. We are collaborating with Google Cloud to more deeply evaluate benefits on price and performance for specific compute workloads that we can realize through use of the new Tau VM family.”

Image Credits: Google

The Tau VMs will be arriving for Google Cloud in Q3 of this year. The company has already opened the system up to clients for pre-registration. Pricing is dependent on the configuration. For example, a 32vCPU VM sporting 128GB RAM will run around $1.35 an hour.

Posted by Richy George on 17 June, 2021

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 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 in more automation into workflows.

Nylas is not disclosing its valuation, but this is a very significant step up for the company comes 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 40,000, 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 (which itself is a division of insurance giant State Farm); 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.

Posted by Richy George on 17 June, 2021

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 includes 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 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” — ie 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.”