For many of us, going to work these days no longer means going into a specific office like it used to; and today one of the startups that’s built a platform to help cater to that new, bigger world of employment — wherever talent might be — is announcing a major round of funding on the back of strong demand for its tools.

Remote, which provides tools to manage onboarding, payroll, benefits and other services for tech and other knowledge workers located in remote countries — be they contractors or full-time employees — has raised $150 million. Job van der Voort, the Dutch-based CEO and co-founder of New York-based Remote, confirmed in an interview that funding values Remote at over $1 billion.

Accel is leading this Series B, with participation also from previous investors Sequoia, Index Ventures, Two Sigma, General Catalyst and Day One Ventures.

The funding will be used in a couple of areas. First and foremost, it will go toward expanding its business to more markets. The startup has been built from the ground up in a fully integrated way, and in contrast to a number of others that it competes with in providing Employer of Record services, Remote fully owns all of its infrastructure. It now provides its HR services, as fully operational legal entities, for 50 countries (it has a target of growing that to 80 by the end of this year). The platform is also set to be enhanced with more tools around areas like benefits, equity incentive planning, visa and immigration support and employee relocation.

“We are doubling down on our approach,” van der Voort said. “We try to fully own the entire stack: entity, operations, experts in house, payroll, benefits and visa and immigration — all of the items that come up most often. We want to to build infrastructure products, foundational products because those have a higher level of quality and ultimately a lower price.”

In addition, Remote will be using the funding to continue building more tools and partnerships to integrate with other providers of services in what is a very fragmented human resources market. Two of these are being announced today to coincide with the funding news: Remote has launched a Global Employee API that HR platforms that focus on domestic payroll can integrate to provide their own international offering powered by Remote. HR platform Rippling (Parker Conrad’s latest act) is one of its first customers. And Remote is also getting cosier with other parts of the HR chain of services: applicant tracking system Greenhouse is now integrating with it to help with the onboarding process for new hires.

Indeed, $150 million at a $1 billion+ valuation is a very, very sizable Series B, even by today’s flush-market standards, but it comes after a bumper year for the company, and in particular since November last year when it raised a Series A of $35 million. In the last nine months, customer numbers have grown seven-fold, with users on the platform increasing 10 times. Most interestingly, perhaps, is that Remote’s revenues — its packages start at $149 per month but go up from there — have increased by a much bigger amount: 65x, the company said. That basically points to the fact that engagement from those users — how much they are leaning on Remote’s tech — has skyrocketed.

Although there are a lot of competitors in the same space as Remote — they include a number of more local players alongside a pretty big range of startups like Oyster (which announced $50 million in funding in June), Deel, which is now valued at $1.25 billion; Turing; Papaya Global (now also valued at over $1 billion); and many more — the opportunity they are collectively tackling is a massive one that, if anything, appears to be growing.

Hiring internationally has always been a costly, time-consuming and organizationally challenged endeavor, so much so that many companies have opted not to do it at all, or to reserve it for very unique cases. That paradigm has drastically shifted in recent years, however.

Even before COVID-19 hit, there was a shortage of talent, resulting in a competitive struggle for good people, in companies’ home markets, which encouraged companies to look further afield when hiring. Then, once looking further afield, those employers had to give consideration to employing those people remotely — that is, letting them work from afar — because the process of relocating them had also become more expensive and harder to work through.

Then COVID-19 happened, and everyone, including people working in a company’s HQ, started to work remotely, changing the goalposts yet again on what is expected by workers, and what organizations are willing to consider when bringing on a new person, or managing someone it already knows, just from a much farther distance.

While a lot of that has played out in the idea of relocating to different cities in the same country — Miami and Austin getting a big wave of Silicon Valley “expats” being two examples of that — it seems just a short leap to consider that now that sourcing and managing is taking on a much more international slant. A lot of new hires, as well as existing employees who are possibly not from the U.S. to begin with, or simply want to see another part of the world, are now also a part of the mix. That is where companies like Remote are coming in and lowering the barriers to entry by making it as easy to hire and manage a person abroad as it is in your own city.

“Remote is at the center of a profound shift in the way that companies hire,” said Miles Clements, a partner at Accel, in a statement. “Their new Global Employee API opens up access to Remote’s robust global employment infrastructure and knowledge map, and will help any HR provider expand internationally at a speed impossible before. Remote’s future vision as a financial services provider will consolidate complicated processes into one trusted platform, and we’re excited to partner with the global leader in the quickly emerging category of remote work.”

And it’s interesting to see it now partnering with the likes of Rippling. It was a no-brainer that as the latter company matured and grew, it would have to consider how to handle the international component. Using an API from Remote is an example of how the model that has played out in communications (led by companies like Twilio and Sinch) and fintech (hello, Stripe) also has an analogue in HR, with Remote taking the charge on that.

And to be clear, for now Remote has no plans to build a product that it would sell directly to individuals.

“Individuals are reaching out to us, saying, ‘I found this job and can you help me and make sure I get paid?’ That’s been interesting,” van der Voort said. “We thought about [building a product for them] but we have so much to do with employers first.” One thing that’s heartening in Remote’s approach is that it wouldn’t want to provide this service unless it could completely follow through on it, which in the case of an individual would mean “vetting every major employer,” he said, which is too big a task for it right now.

In the meantime, Remote itself has walked the walk when it comes to remote working. Originally co-founded by two European transplants to San Francisco, the pair had firsthand experience of the paradoxical pains and opportunities of being in an organization that uses remote workforces.

Van der Voort had been the VP of product for GitLab, which he scaled from five to 450 employees working remotely (it’s now a customer of Remote’s); and before co-founding Remote, CTO Marcelo Lebre had been VP of engineering for Unbabel — another startup focused on reducing international barriers, this time between how companies and global customers communicate.

Today, not only is the CEO based out of Amsterdam in The Netherlands, with the CTO in Lisbon, Portugal, but New York-based Remote itself has grown to 220 from 50 employees, and this wider group has also been working remotely across 47 countries since November 2020.

“The world is looking very different today,” van der Voort said. “The biggest change for us has been the size of the organization. We’ve gone from 50 to more than 200 employees, and I haven’t met any of them! We have tried to follow our values of bringing opportunity everywhere so we hire everywhere as we solve that for our customers, too.”

Reliance on a single technology as a lifeline is a futile battle now. When simple automation no longer does the trick, delivering end-to-end automation needs a combination of complementary technologies that can give a facelift to business processes: the digital operations toolbox.

According to a McKinsey survey, enterprises that have likely been successful with digital transformation efforts adopted sophisticated technologies such as artificial intelligence, Internet of Things or machine learning. Enterprises can achieve hyperautomation with the digital ops toolbox, the hub for your digital operations.

The toolbox is a synchronous medley of intelligent business process management (iBPM), robotic process automation (RPA), process mining, low code, artificial intelligence (AI), machine learning (ML) and a rules engine. The technologies can be optimally combined to achieve the organization’s key performance indicator (KPI) through hyperautomation.

The hyperautomation market is burgeoning: Analysts predict that by 2025, it will reach around $860 billion. Let’s see why.

The purpose of a digital ops toolbox

The toolbox, the treasure chest of technologies it is, helps with three crucial aspects: process automation, orchestration and intelligence.

Process automation: A hyperautomation mindset introduces the world of “automating anything that can be,” whether that’s a process or a task. If something can be handled by bots or other technologies, it should be.

Orchestration: Hyperautomation, per se, adds an orchestration layer to simple automation. Technologies like intelligent business process management orchestrate the entire process.

Intelligence: Machines can automate repetitive tasks, but they lack the decision-making capabilities of humans. And, to achieve a perfect harmony where machines are made to “think and act,” or attain cognitive skills, we need AI. Combining AI, ML and natural language processing algorithms with analytics propels simple automation to become more cognitive. Instead of just following if-then rules, the technologies help gather insights from the data. The decision-making capabilities enable bots to make decisions.

Simple automation versus hyperautomation

Here’s a story of evolving from simple automation to hyperautomation with an example: an order-to-cash process.

As financial crime has become significantly more sophisticated, so too have the tools that are used to combat it. Now, Quantexa — one of the more interesting startups that has been building AI-based solutions to help detect and stop money laundering, fraud, and other illicit activity — has raised a growth round of $153 million, both to continue expanding that business in financial services and to bring its tools into a wider context, so to speak: linking up the dots around all customer and other data.

“We’ve diversified outside of financial services and working with government, healthcare, telcos and insurance,” Vishal Marria, its founder and CEO, said in an interview. “That has been substantial. Given the whole journey that the market’s gone through in contextual decision intelligence as part of bigger digital transformation, was inevitable.”

The Series D values the London-based startup between $800 million and $900 million on the heels of Quantexa growing its subscriptions revenues 108% in the last year.

Warburg Pincus led the round, with existing backers Dawn Capital, AlbionVC, Evolution Equity Partners (a specialist cybersecurity VC), HSBC, ABN AMRO Ventures and British Patient Capital also participating. The valuation is a significant hike up for Quantexa, which was valued between $200 million and $300 million in its Series C last July. It has now raised over $240 million to date.

Quantexa got its start out of a gap in the market that Marria identified when he was working as a director at Ernst & Young tasked with helping its clients with money laundering and other fraudulent activity. As he saw it, there were no truly useful systems in the market that efficiently tapped the world of data available to companies — matching up and parsing both their internal information as well as external, publicly available data — to get more meaningful insights into potential fraud, money laundering and other illegal activities quickly and accurately.

Quantexa’s machine learning system approaches that challenge as a classic big data problem — too much data for a humans to parse on their own, but small work for AI algorithms processing huge amounts of that data for specific ends.

Its so-called “Contextual Decision Intelligence” models (the name Quantexa is meant to evoke “quantum” and “context”) were built initially specifically to address this for financial services, with AI tools for assessing risk and compliance and identifying financial criminal activity, leveraging relationships that Quantexa has with partners like Accenture, Deloitte, Microsoft and Google to help fill in more data gaps.

The company says its software — and this, not the data, is what is sold to companies to use over their own datasets — has handled up to 60 billion records in a single engagement. It then presents insights in the form of easily digestible graphs and other formats so that users can better understand the relationships between different entities and so on.

Today, financial services companies still make up about 60% of the company’s business, Marria said, with 7 of the top 10 UK and Australian banks and 6 of the top 14 financial institutions in North America among its customers. (The list includes its strategic backer HSBC, as well as Standard Chartered Bank and Danske Bank.)

But alongside those — spurred by a huge shift in the market to relying significantly more on wider data sets, to businesses updating their systems in recent years, and the fact that, in the last year, online activity has in many cases become the “only” activity — Quantexa has expanded more significantly into other sectors.

“The Financial crisis [of 2007] was a tipping point in terms of how financial services companies became more proactive, and I’d say that the pandemic has been a turning point around other sectors like healthcare in how to become more proactive,” Marria said. “To do that you need more data and insights.”

So in the last year in particular, Quantexa has expanded to include other verticals facing financial crime, such as healthcare, insurance, government (for example in tax compliance), and telecoms/communications, but in addition to that, it has continued to diversify what it does to cover more use cases, such as building more complete customer profiles that can be used for KYC (know your customer) compliance or to serve them with more tailored products. Working with government, it’s also seeing its software getting applied to other areas of illicit activity, such as tracking and identifying human trafficking.

In all, Quantexa has “thousands” of customers in 70 markets. Quantexa cites figures from IDC that estimate the market for such services — both financial crime and more general KYC services — is worth about $114 billion annually, so there is still a lot more to play for.

“Quantexa’s proprietary technology enables clients to create single views of individuals and entities, visualized through graph network analytics and scaled with the most advanced AI technology,” said Adarsh Sarma, MD and co-head of Europe at Warburg Pincus, in a statement. “This capability has already revolutionized the way KYC, AML and fraud processes are run by some of the world’s largest financial institutions and governments, addressing a significant gap in an increasingly important part of the industry. The company’s impressive growth to date is a reflection of its invaluable value proposition in a massive total available market, as well as its continued expansion across new sectors and geographies.”

Interestingly, Marria admitted to me that the company has been approached by big tech companies and others that work with them as an acquisition target — no real surprises there — but longer term, he would like Quantexa to consider how it continues to grow on its own, with an independent future very much in his distant sights.

“Sure, an acquisition to the likes of a big tech company absolutely could happen, but I am gearing this up for an IPO,” he said.

Netskope, focused on Secure Access Service Edge architecture, announced Friday a $300 million investment round on a post-money valuation of $7.5 billion.

The oversubscribed insider investment was led by ICONIQ Growth, which was joined by other existing investors, including Lightspeed Venture Partners, Accel, Sequoia Capital Global Equities, Base Partners, Sapphire Ventures and Geodesic Capital.

Netskope co-founder and CEO Sanjay Beri told TechCrunch that since its founding in 2012, the company’s mission has been to guide companies through their digital transformation by finding what is most valuable to them — sensitive data — and protecting it.

“What we had before in the market didn’t work for that world,” he said. “The theory is that digital transformation is inevitable, so our vision is to transform that market so people could do that, and that is what we are building nearly a decade later.”

With this new round, Netskope continues to rack up large rounds: it raised $340 million last February, which gave it a valuation of nearly $3 billion. Prior to that, it was a $168.7 million round at the end of 2018.

Similar to other rounds, the company was not actively seeking new capital, but that it was “an inside round with people who know everything about us,” Beri said.

“The reality is we could have raised $1 billion, but we don’t need more capital,” he added. “However, having a continued strong balance sheet isn’t a bad thing. We are fortunate to be in that situation, and our destination is to be the most impactful cybersecurity company in the world.

Beri said the company just completed a “three-year journey building the largest cloud network that is 15 milliseconds from anyone in the world,” and intends to invest the new funds into continued R&D, expanding its platform and Netskope’s go-to-market strategy to meet demand for a market it estimated would be valued at $30 billion by 2024, he said.

Even pre-pandemic the company had strong hypergrowth over the past year, surpassing the market average annual growth of 50%, he added.

Today’s investment brings the total raised by Santa Clara-based Netskope to just over $1 billion, according to Crunchbase data.

With the company racking up that kind of capital, the next natural step would be to become a public company. Beri admits that Netskope could be public now, though it doesn’t have to do it for the traditional reasons of raising capital or marketing.

“Going public is one day on our path, but you probably won’t see us raise another private round,” Beri said.