Personal blog of Yzmir Ramirez

Business, now more than ever before, is going digital, and today a startup that’s building a vertically integrated solution to meet business banking needs is announcing a big round of funding to tap into the opportunity. Airwallex — which provides business banking services directly to businesses themselves as well as via a set of APIs that power other companies’ fintech products — has raised $200 million, a Series E round of funding that values the Australian startup at $4 billion.

Lone Pine Capital is leading the round, with new backers G Squared and Vetamer Capital Management, and previous backers 1835i Ventures (formerly ANZi), DST Global, Salesforce Ventures and Sequoia Capital China also participating.

The funding brings the total raised by Airwallex — which has head offices in Hong Kong and Melbourne, Australia — to $700 million, including a $100 million injection that closed out its Series D just six months ago.

Airwallex will be using the funding both to continue investing in its product and technology as well as to continue its geographical expansion and to focus on some larger business targets. The company has started to make some headway into Europe and the U.K. and that will be one big focus, along with the U.S.

The quick succession of funding and rising valuation underscore Airwallex’s traction to date around what CEO and co-founder Jack Zhang describes as a vertically integrated strategy.

That involves two parts. First, Airwallex has built all the infrastructure for the business banking services that it provides directly to businesses with a focus on small and medium enterprise customers. Second, it has packaged up that infrastructure into a set of APIs that a variety of other companies use to provide financial services directly to their customers without needing to build those services themselves — the so-called “embedded finance” approach.

“We want to own the whole ecosystem,” Zhang said to me. “We want to be like the Apple of business finance.”

That seems to be working out so far for Airwallex. Revenues were up almost 150% for the first half of 2021 compared to a year before, with the company processing more than US$20 billion for a global client portfolio that has quadrupled in size. In addition to tens of thousands of SMEs, it also, via APIs, powers financial services for other companies like GOAT, Papaya Global and Stake.

Airwallex got its start like many of the strongest startups do: It was built to solve a problem that the founders encountered themselves. In the case of Airwallex, Zhang tells me he had actually been working on a previous startup idea. He wanted to build the “Blue Bottle Coffee” of Asia Pacific out of Australia, and it involved buying and importing a lot of different materials, packaging and, of course, coffee from all around the world.

“We found that making payments as a small business was slow and expensive,” he said, since it involved banks in different countries and different banking systems, manual efforts to transfer money between them and many days to clear the payments. “But that was also my background — payments and trading — and so I decided that it was a much more fascinating problem for me to work on and resolve.”

Eventually one of his co-founders in the coffee effort came along, with the four co-founders of Airwallex ultimately including Zhang, along with Xijing Dai, Lucy Liu and Max Li.

It was 2014, and Airwallex got attention from VCs early on in part for being in the right place at the right time. A wave of startups building financial services for SMBs were definitely gaining ground in North America and Europe, filling a long-neglected hole in the technology universe, but there was almost nothing of the sort in the Asia Pacific region, and in those earlier days solutions were highly regionalized.

From there it was a no-brainer that starting with cross-border payments, the first thing Airwallex tackled, would soon grow into a wider suite of banking services involving payments and other cross-border banking services.

“In the last six years, we’ve built more than 50 bank integrations and now offer payments across 95 countries, payments through a partner network,” he added, with 43 of those offering real-time transactions. From that, it moved on to bank accounts and “other primitive stuff” with card issuance and more, he said, eventually building an end-to-end payment stack. 

Airwallex has tens of thousands of customers using its financial services directly, and they make up about 40% of its revenues today. The rest is the interesting turn the company decided to take to expand its business.

Airwallex had built all of its technology from the ground up itself, and it found that — given the wave of new companies looking for more ways to engage customers and become their one-stop shop — there was an opportunity to package that tech up in a set of APIs and sell that on to a different set of customers, those who also provided services for small businesses. That part of the business now accounts for 60% of Airwallex’s business, Zhang said, and is growing faster in terms of revenues. (The SMB business is growing faster in terms of customers, he said.)

A lot of embedded finance startups that base their business around building tech to power other businesses tend to stay at arm’s length from offering financial services directly to consumers. The explanation I have heard is that they do not wish to compete against their customers. Zhang said that Airwallex takes a different approach, by being selective about the customers they partner with, so that the financial services they offer would never be the kind that would not be in direct competition. The GOAT marketplace for sneakers, or Papaya Global’s HR platform are classic examples of this.

However, as Airwallex continues to grow, you can’t help but wonder whether one of those partners might like to gobble up all of Airwallex and take on some of that service provision role itself. In that context, it’s very interesting to see Salesforce Ventures returning to invest even more in the company in this round, given how widely the company has expanded from its early roots in software for salespeople into a massive platform providing a huge range of cloud services to help people run their businesses.

For now, it’s been the combination of its unique roots in Asia Pacific, plus its vertical approach of building its tech from the ground up, plus its retail acumen that has impressed investors and may well see Airwallex stay independent and grow for some time to come.

“Airwallex has a clear competitive advantage in the digital payments market,” said David Craver, MD at Lone Pine Capital, in a statement. “Its unique Asia-Pacific roots, coupled with its innovative infrastructure, products and services, speak volumes about the business’ global growth opportunities and its impressive expansion in the competitive payment providers space. We are excited to invest in Airwallex at this dynamic time, and look forward to helping drive the company’s expansion and success worldwide.”

Updated to note that the coffee business was in Australia, not Hong Kong.

A Canadian startup called Nuula that is aiming to build a super app to provide a range of financial services to small and medium businesses has closed $120 million of funding, money that it will use to fuel the launch of its app and first product, a line of credit for its users.

The money is coming in the form of $20 million in equity from Edison Partners, and a $100 million credit facility from funds managed by the Credit Group of Ares Management Corporation.

The Nuula app has been in a limited beta since June of this year. The plan is to open it up to general availability soon, while also gradually bringing in more services, some built directly by Nuula itself but many others following an embedded finance strategy: business banking, for example, will be a service provided by a third party and integrated closely into the Nuula app to be launched early in 2022. Alongside that, the startup will also be making liberal use of APIs to bring in other white-label services, such as B2B and customer-focused payment services, starting first in the U.S. and then expanding to Canada and the U.K. before expanding further into countries across Europe.

Current products include cash flow forecasting, personal and business credit score monitoring, and customer sentiment tracking; and monitoring of other critical metrics including financial, payments and e-commerce data are all on the roadmap.

“We’re building tools to work in a complementary fashion in the app,” CEO Mark Ruddock said in an interview. “Today, businesses can project if they are likely to run out of money, and monitor their credit scores. We keep an eye on customers and what they are saying in real time. We think it’s necessary to surface for SMBs the metrics that they might have needed to get from multiple apps, all in one place.”

Nuula was originally a side-project at BFS, a company that focused on small business lending, where the company started to look at the idea of how to better leverage data to build out a wider set of services addressing the same segment of the market. BFS grew to be a substantial business in its own right (and it had raised its own money to that end, to the tune of $184 million from Edison and Honeywell). Over time, it became apparent to management that the data aspect, and this concept of a super app, would be key to how to grow the business, and so it pivoted and rebranded earlier this year, launching the beta of the app after that.

Nuula’s ambitions fall within a bigger trend in the market. Small and medium enterprises have shaped up to be a huge business opportunity in the world of fintech in the last several years. Long ignored in favor of building solutions either for the giant consumer market, or the lucrative large enterprise sector, SMBs have proven that they want and are willing to invest in better and newer technology to run their businesses, and that’s leading to a rush of startups and bigger tech companies bringing services to the market to cater to that.

Super apps are also a big area of interest in the world of fintech, although up to now a lot of what we’ve heard about in that area has been aimed at consumers — just the kind of innovation rut that Nuula is trying to get moving.

“Despite the growth in services addressing the SMB sector, overall it still lacks innovation compared to consumer or enterprise services,” Ruddock said. “We thought there was some opportunity to bring new thinking to the space. We see this as the app that SMBs will want to use everyday, because we’ll provide useful tools, insights and capital to power their businesses.”

Nuula’s priority to build the data services that connect all of this together is very much in keeping with how a lot of neobanks are also developing services and investing in what they see as their unique selling point. The theory goes like this: banking services are, at the end of the day, the same everywhere you go, and therefore commoditized, and so the more unique value-added for companies will come from innovating with more interesting algorithms and other data-based insights and analytics to give more power to their users to make the best use of what they have at their disposal.

It will not be alone in addressing that market. Others building fintech for SMBs include Selina, ANNA, Amex’s Kabbage (an early mover in using big data to help loan money to SMBs and build other financial services for them), Novo, Atom Bank, Xepelin and Liberis, biggies like Stripe, Square and PayPal, and many others.

The credit product that Nuula has built so far is a taster of how it hopes to be a useful tool for SMBs, not just another place to get money or manage it. It’s not a direct loaning service, but rather something that is closely linked to monitoring a customers’ incomings and outgoings and only prompts a credit line (which directly links into the users’ account, wherever it is) when it appears that it might be needed.

“Innovations in financial technology have largely democratized who can become the next big player in small business finance,” added Gary Golding, General Partner, Edison Partners. “By combining critical financial performance tools and insights into a single interface, Nuula represents a new class of financial services technology for small business, and we are excited by the potential of the firm.”

“We are excited to be working with Nuula as they build a unique financial services resource for small businesses and entrepreneurs,” said Jeffrey Kramer, Partner and Head of ABS in the Alternative Credit strategy of the Ares Credit Group, in a statement. “The evolution of financial technology continues to open opportunities for innovation and the emergence of new industry participants. We look forward to seeing Nuula’s experienced team of technologists, data scientists and financial service veterans bring a new generation of small business financial services solutions to market.”

The manufacturing industry took a hard hit from the Covid-19 pandemic, but there are signs of how it is slowly starting to come back into shape — helped in part by new efforts to make factories more responsive to the fluctuations in demand that come with the ups and downs of grappling with the shifting economy, virus outbreaks and more. Today, a businesses that is positioning itself as part of that new guard of flexible custom manufacturing — a startup called Fractory — is announcing a Series A of $9 million (€7.7 million) that underscores the trend.

The funding is being led by OTB Ventures, a leading European investor focussed on early growth, post-product, high-tech start-ups, with existing investors Trind Ventures, Superhero Capital, United Angels VC, Startup Wise Guys and Verve Ventures also participating.

Founded in Estonia but now based in Manchester, England — historically a strong hub for manufacturing in the country, and close to Fractory’s customers — Fractory has built a platform to make it easier for those that need to get custom metalwork to upload and order it, and for factories to pick up new customers and jobs based on those requests.

Fractory’s Series A will be used to continue expanding its technology, and to bring more partners into its ecosystem.

To date, the company has worked with more than 24,000 customers and hundreds of manufacturers and metal companies, and altogether it has helped crank out more than 2.5 million metal parts.

To be clear, Fractory isn’t a manufacturer itself, nor does it have no plans to get involved in that part of the process. Rather, it is in the business of enterprise software, with a marketplace for those who are able to carry out manufacturing jobs — currently in the area of metalwork — to engage with companies that need metal parts made for them, using intelligent tools to identify what needs to be made and connecting that potential job to the specialist manufacturers that can make it.

The challenge that Fractory is solving is not unlike that faced in a lot of industries that have variable supply and demand, a lot of fragmentation, and generally an inefficient way of sourcing work.

As Martin Vares, Fractory’s founder and MD, described it to me, companies who need metal parts made might have one factory they regularly work with. But if there are any circumstances that might mean that this factory cannot carry out a job, then the customer needs to shop around and find others to do it instead. This can be a time-consuming, and costly process.

“It’s a very fragmented market and there are so many ways to manufacture products, and the connection between those two is complicated,” he said. “In the past, if you wanted to outsource something, it would mean multiple emails to multiple places. But you can’t go to 30 different suppliers like that individually. We make it into a one-stop shop.”

On the other side, factories are always looking for better ways to fill out their roster of work so there is little downtime — factories want to avoid having people paid to work with no work coming in, or machinery that is not being used.

“The average uptime capacity is 50%,” Vares said of the metalwork plants on Fractory’s platform (and in the industry in general). “We have a lot more machines out there than are being used. We really want to solve the issue of leftover capacity and make the market function better and reduce waste. We want to make their factories more efficient and thus sustainable.”

The Fractory approach involves customers — today those customers are typically in construction, or other heavy machinery industries like ship building, aerospace and automotive — uploading CAD files specifying what they need made. These then get sent out to a network of manufacturers to bid for and take on as jobs — a little like a freelance marketplace, but for manufacturing jobs. About 30% of those jobs are then fully automated, while the other 70% might include some involvement from Fractory to help advise customers on their approach, including in the quoting of the work, manufacturing, delivery and more. The plan is to build in more technology to improve the proportion that can be automated, Vares said. That would include further investment in RPA, but also computer vision to better understand what a customer is looking to do, and how best to execute it.

Currently Fractory’s platform can help fill orders for laser cutting and metal folding services, including work like CNC machining, and it’s next looking at industrial additive 3D printing. It will also be looking at other materials like stonework and chip making.

Manufacturing is one of those industries that has in some ways been very slow to modernize, which in a way is not a huge surprise: equipment is heavy and expensive, and generally the maxim of “if it ain’t broke, don’t fix it” applies in this world. That’s why companies that are building more intelligent software to at least run that legacy equipment more efficiently are finding some footing. Xometry, a bigger company out of the U.S. that also has built a bridge between manufacturers and companies that need things custom made, went public earlier this year and now has a market cap of over $3 billion. Others in the same space include Hubs (which is now part of Protolabs) and Qimtek, among others.

One selling point that Fractory has been pushing is that it generally aims to keep manufacturing local to the customer to reduce the logistics component of the work to reduce carbon emissions, although as the company grows it will be interesting to see how and if it adheres to that commitment.

In the meantime, investors believe that Fractory’s approach and fast growth are strong signs that it’s here to stay and make an impact in the industry.

“Fractory has created an enterprise software platform like no other in the manufacturing setting. Its rapid customer adoption is clear demonstrable feedback of the value that Fractory brings to manufacturing supply chains with technology to automate and digitise an ecosystem poised for innovation,” said Marcin Hejka in a statement. “We have invested in a great product and a talented group of software engineers, committed to developing a product and continuing with their formidable track record of rapid international growth

As artificial intelligence continues to weave its way into more enterprise applications, a startup that has built a platform to help businesses, especially non-tech organizations, build more customized AI decision-making tools for themselves has picked up some significant growth funding. Peak AI, a startup out of Manchester, England, that has built a “decision intelligence” platform, has raised $75 million, money that it will be using to continue building out its platform, expand into new markets and hire some 200 new people in the coming quarters.

The Series C is bringing a very big name investor on board. It is being led by SoftBank Vision Fund 2, with previous backers Oxx, MMC Ventures, Praetura Ventures and Arete also participating. That group participated in Peak’s Series B of $21 million, which only closed in February of this year. The company has now raised $119 million; it is not disclosing its valuation.

(This latest funding round was rumored last week, although it was not confirmed at the time and the total amount was not accurate.)

Richard Potter, Peak’s CEO, said the rapid follow-on in funding was based on inbound interest, in part because of how the company has been doing.

Peak’s so-called Decision Intelligence platform is used by retailers, brands, manufacturers and others to help monitor stock levels and build personalized customer experiences, as well as other processes that can stand to have some degree of automation to work more efficiently, but also require sophistication to be able to measure different factors against each other to provide more intelligent insights. Its current customer list includes the likes of Nike, Pepsico, KFC, Molson Coors, Marshalls, Asos and Speedy, and in the last 12 months revenues have more than doubled.

The opportunity that Peak is addressing goes a little like this: AI has become a cornerstone of many of the most advanced IT applications and business processes of our time, but if you are an organization — and specifically one not built around technology — your access to AI and how you might use it will come by way of applications built by others, not necessarily tailored to you, and the costs of building more tailored solutions can often be prohibitively high. Peak claims that those using its tools have seen revenues on average rise 5%, return on ad spend double, supply chain costs reduce by 5% and inventory holdings (a big cost for companies) reduce by 12%.

Peak’s platform, I should point out, is not exactly a “no-code” approach to solving that problem — not yet at least: It’s aimed at data scientists and engineers at those organizations so that they can easily identify different processes in their operations where they might benefit from AI tools, and to build those out with relatively little heavy lifting.

There have also been different market factors that have played a role. COVID-19, for example, and the boost that we have seen both in increasing “digital transformation” in businesses and making e-commerce processes more efficient to cater to rising consumer demand and more strained supply chains have all led to businesses being more open and keen to invest in more tools to improve their automation intelligently.

This, combined with Peak AI’s growing revenues, is part of what interested SoftBank. The investor has been long on AI for a while; but it also has been building out a section of its investment portfolio to provide strategic services to the kinds of businesses in which it invests.

Those include e-commerce and other consumer-facing businesses, which make up one of the main segments of Peak’s customer base.

Notably, one of its recent investments specifically in that space was made earlier this year, also in Manchester, when it took a $730 million stake (with potentially $1.6 billion more down the line) in The Hut Group, which builds software for and runs D2C businesses.

“In Peak we have a partner with a shared vision that the future enterprise will run on a centralized AI software platform capable of optimizing entire value chains,” Max Ohrstrand, senior investor for SoftBank Investment Advisers, said in a statement. “To realize this a new breed of platform is needed and we’re hugely impressed with what Richard and the excellent team have built at Peak. We’re delighted to be supporting them on their way to becoming the category-defining, global leader in Decision Intelligence.”

It’s not clear that SoftBank’s two Manchester interests will be working together, but it’s an interesting synergy if they do, and most of all highlights one of the firm’s areas of interest.

Longer term, it will be interesting to see how and if Peak evolves to extend its platform to a wider set of users at the organizations that are already its customers.

Potter said he believes that “those with technical predispositions” will be the most likely users of its products in the near and medium term. You might assume that would cut out, for example, marketing managers, although the general trend in a lot of software tools has precisely been to build versions of the same tools used by data scientists for these less technical people to engage in the process of building what it is that they want to use.

“I do think it’s important to democratize the ability to stream data pipelines, and to be able to optimize those to work in applications,” Potter added.

The UK’s more expansive, post-Brexit role in digital regulation continues to be felt today via a policy change by Google which has announced that it will, in the near future, only run ads for financial products and services when the advertiser in question has been verified by the financial watchdog, the FCA.

The Google Ads Financial Products and Services policy will be updated from August 30, per Google, which specifies that it will start enforcing the new policy from September 6 — meaning that purveyors of online financial scams who’ve been relying on its ad network to net their next victim still have more than two months to harvest unsuspecting clicks before the party is over (well, in the UK, anyway).

Google’s decision to allow only regulator authorized financial entities to run ads for financial products & services follows warnings from the Financial Conduct Authority that it may take legal action if Google continued to accept unscreened financial ads, as the Guardian reported earlier.

The FCA told a parliamentary committee this month that it’s able to contemplate taking such action as a result of no longer being bound by European Union rules on financial adverts, which do not extend to online platforms, per the newspaper’s report.

Until gaining the power to go after Google itself, the FCA appears to have been trying to combat the scourge of online financial fraud by paying Google large amounts of UK taxpayer money to fight scams with anti-scam warnings.

According to the Register, the FCA paid Google more than £600,000 (~$830k) in 2020 and 2021 to run ‘anti-scam’ ads — with the regulator essentially engaged in a bidding war with scammers to pour enough money into Google’s coffers so that regulator warnings about financial scams might appear higher than the scams themselves.

The full-facepalm situation was presumably highly lucrative for Google. But the threat of legal action appears to have triggered a policy rethink.

Writing in its blog post, Ronan Harris, a VP and MD for Google UK & Ireland, said: “Financial services advertisers will be required to demonstrate that they are authorised by the UK Financial Conduct Authority or qualify for one of the limited exemptions described in the UK Financial Services verification page.”

“This new update builds on significant work in partnership with the FCA over the last 18 months to help tackle this issue,” he added. “Today’s announcement reflects significant progress in delivering a safer experience for users, publishers and advertisers. While we understand that this policy update will impact a range of advertisers in the financial services space, our utmost priority is to keep users safe on our platforms — particularly in an area so disproportionately targeted by fraudsters.”

The company’s blog also claims that it has pledged $5M in advertising credits to support financial fraud public awareness campaigns in the UK. So not $5M in actual money then.

Per the Register, Google did offer to refund the FCA’s anti-scam ad spend — but, again, with advertising credits.

The UK parliament’s Treasury Committee was keen to know whether the tech giant would be refunding the spend in cash. But the FCA’s director of enforcement and market insight, Mark Steward, was unable to confirm what it would do, according to the Register’s report of the committee hearing.

We’ve reached out to the FCA for comment on Google’s policy change, and with questions about the refund situation, and will update this report with any response.

In recent years the financial watchdog has also been concerned about financial scam ads running on social media platforms.

Back in 2018, legal action by a well-known UK consumer advice personality, Martin Lewis — who filed a defamation suit against Facebook — led the social media giant to add a ‘report scam ad’ button in the market as of July 2019.

However research by consumer group, Which?, earlier this year, suggested that neither Facebook nor Google had entirely purged financial scam ads — even when they’d been reported.

Per the BBC, Which?’s survey found that Google had failed to remove around a third (34%) of the scam adverts reported to it vs Facebook failing to remove well over a fifth (26%).

It’s almost like the incentives for online ad giants to act against lucrative online scam ads simply aren’t pressing enough…

More recently, Lewis has been pushing for scam ads to be included in the scope of the UK’s Online Safety Bill.

The sweeping piece of digital regulation aims to tackle a plethora of so-called ‘online harms’ by focusing on regulating user generated content. However Lewis makes the point that a scammer merely needs to pay an ad platform to promote their fraudulent content for it to escape the scope of the planned rules, telling the Good Morning Britain TV program today that the situation is “ludicrous” and “needs to change”.

It’s certainly a confusing carve-out, as we reported at the time the bill was presented. Nor is it the only confusing component of the planned legislation. However on the financial fraud point the government may believe the FCA has the necessary powers to tackle the problem.

We’ve contacted the Department for Digital, Media, Culture and Sport for comment.

Update: A government spokesperson said:

“We have brought user-generated fraud into the scope of our new online laws to increase people’s protection from the devastating impact of scams. The move is just one part of our plan to tackle fraud in all its forms. We continue to pursue fraudsters and close down the vulnerabilities they exploit, are helping people spot and report scams, and we will shortly be considering whether tougher regulation on online advertising is also needed.”

The government also noted that the Home Office is developing a Fraud Action Plan, which is slated to be published after the 2021 spending review; and pointed to the Online Advertising Programme which it said will consider the extent to which the current regulatory regime is equipped to tackle the challenges posed by the rapid technological developments seen in online advertising — including via a consultation and review of online advertising it plans to launch later this year.

More money for the now very buzzy business of reshaping how people work: Worksome is announcing it recently closed a $13 million Series A funding round for its “freelance talent platform” — after racking up 10x growth in revenue since January 2020, just before the COVID-19 pandemic sparked a remote working boom.

The 2017 founded startup, which has a couple of ex-Googlers in its leadership team, has built a platform to connect freelancers looking for professional roles with employers needing tools to find and manage freelancer talent.

It says it’s seeing traction with large enterprise customers that have traditionally used Managed Service Providers (MSPs) to manage and pay external workforces — and views employment agency giants like Randstad, Adecco and Manpower as ripe targets for disruption.

“Most multinational enterprises manage flexible workers using legacy MSPs,” says CEO and co-founder Morten Petersen (one of the Xooglers). “These largely analogue businesses manage complex compliance and processes around hiring and managing freelance workforces with handheld processes and outdated technology that is not built for managing fluid workforces. Worksome tackles this industry head on with a better, faster and simpler solution to manage large freelancer and contractor workforces.”

Worksome focuses on helping medium/large companies — who are working with at least 20+ freelancers at a time — fill vacancies within teams rather than helping companies outsource projects, per Petersen, who suggests the latter is the focus for the majority of freelancer platforms.

“Worksome helps [companies] onboard people who will provide necessary skills and will be integral to longer-term business operations. It makes matches between companies and skilled freelancers, which the businesses go on to trust, form relationships with and come back to time and time again,” he goes on.

“When companies hire dozens or hundreds of freelancers at one time, processes can get very complicated,” he adds, arguing that on compliance and payments Worksome “takes on a much greater responsibility than other freelancing platforms to make big hires easier”.

The startup also says it’s concerned with looking out for (and looking after) its freelancer talent pool — saying it wants to create “a world of meaningful work” on its platform, and ensure freelancers are paid fairly and competitively. (And also that they are paid faster than they otherwise might be, given it takes care of their payroll so they don’t have to chase payments from employers.)

The business started life in Copenhagen — and its Series A has a distinctly Nordic flavor, with investment coming from the Danish business angel and investor on the local version of the Dragons’ Den TV program Løvens Hule; the former Minister for Higher Education and Science, Tommy Ahlers; and family home manufacturer Lind & Risør.

It had raised just under $6M prior to thus round, per Crunchbase, and also counts some (unnamed) Google executives among its earlier investors.

Freelancer platforms (and marketplaces) aren’t new, of course. There are also an increasing number of players in this space — buoyed by a new flush of VC dollars chasing the ‘future of work’, whatever hybrid home-office flexible shape that might take. So Worksome is by no means alone in offering tech tools to streamline the interface between freelancers and businesses.

A few others that spring to mind include Lystable (now Kalo), Malt, Fiverr — or, for techie job matching specifically, the likes of HackerRank — plus, on the blue collar work side, Jobandtalent. There’s also a growing number of startups focusing on helping freelancer teams specifically (e.g. Collective), so there’s a trend towards increasing specialism.

Worksome says it differentiates vs other players (legacy and startups) by combining services like tax compliance, background and ID checks and handling payroll and other admin with an AI powered platform that matches talent to projects.

Although it’s not the only startup offering to do the back-office admin/payroll piece, either, nor the only one using AI to match skilled professionals to projects. But it claims it’s going further than rival ‘freelancer-as-a-service’ platforms — saying it wants to “address the entire value chain” (aka: “everything from the hiring of freelance talent to onboarding and payment”).

Worksome has 550 active clients (i.e. employers in the market for freelancer talent) at this stage; and has accepted 30,000 freelancers into its marketplace so far.

Its current talent pool can take on work across 12 categories, and collectively offers more than 39,000 unique skills, per Petersen.

The biggest categories of freelancer talent on the platform are in Software and IT; Design and Creative Work; Finance and Management Consulting; plus “a long tail of niche skills” within engineering and pharmaceuticals.

While its largest customers are found in the creative industries, tech and IT, pharma and consumer goods. And its biggest markets are the U.K. and U.S.

“We are currently trailing at +20,000 yearly placements,” says Petersen, adding: “The average yearly spend per client is $300,000.”

Worksome says the Series A funding will go on stoking growth by investing in marketing. It also plans to spend on product dev and on building out its team globally (it also has offices in London and New York).

Over the past 12 months the startup doubled the size of its team to 50 — and wants to do so again within 12 months so it can ramp up its enterprise client base in the U.S., U.K. and euro-zone.

“Yes, there are a lot of freelancer platforms out there but a lot of these don’t appreciate that hiring is only the tip of the iceberg when it comes to reducing the friction in working with freelancers,” argues Petersen. “Of the time that goes into hiring, managing and paying freelancers, 75% is currently spent on admin such as timesheet approvals, invoicing and compliance checks, leaving only a tiny fraction of time to actually finding talent.”

Worksome woos employers with a “one-click-hire” offer — touting its ability to find and hire freelancers “within seconds”.

If hiring a stranger in seconds sounds ill-advised, Worksome greases this external employment transaction by taking care of vetting the freelancers itself (including carrying out background checks; and using proprietary technology to asses freelancers’ skills and suitability for its marketplace).

“We have a two-step vetting process to ensure that we only allow the best freelance talent onto the Worksome platform,” Petersen tells TechCrunch. “For step one, an inhouse-built robot assesses our freelancer applicants. It analyses their skillset, social media profiles, profile completeness and hourly or daily rate, as well as their CV and work history, to decide whether each person is a good fit for Worksome.

“For step two, our team of talent specialists manually review and decline or approve the freelancers that pass through step one with a score of 85% or more. We have just approved our 30,000th freelancer and will be able to both scale and improve our vetting procedure as we grow.”

A majority of freelancer applicants fail Worksome’s proprietary vetting processes. This is clear because it says it has received 80,000 applicants so far — but only approved 30,000.

That raises interesting questions about how it’s making decisions on who is (and isn’t) an ‘appropriate fit’ for its talent marketplace.

It says its candidate assessing “robot” looks at “whether freelancers can demonstrate the skillset, matching work history, industry experience and profile depth” deemed necessary to meet its quality criteria — giving the example that it would not accept a freelancer who says they can lead complex IT infrastructure projects if they do not have evidence of relevant work, education and skills.

On the AI freelancer-to-project matching side, Worksome says its technology aims to match freelancers “who have the highest likelihood of completing a job with high satisfaction, based on their work-history, and performance and skills used on previous jobs”.

“This creates a feedback loop that… ensure that both clients and freelancers are matched with great people and great work,” is its circular suggestion when we ask about this.

But it also emphasizes that its AI is not making hiring decisions on its own — and is only ever supporting humans in making a choice. (An interesting caveat since existing EU data protection rules, under Article 22 of the GDPR, provide for a right for individuals to object to automated decision making if significant decisions are being taken without meaningful human interaction.) 

Using automation technologies (like AI) to make assessments that determine whether a person gains access to employment opportunities or doesn’t can certainly risk scaled discrimination. So the devil really is in the detail of how these algorithmic assessments are done.

That’s why such uses of technology are set to face close regulatory scrutiny in the European Union — under incoming rules on ‘high risk’ users of artificial intelligence — including the use of AI to match candidates to jobs.

The EU’s current legislative proposals in this area specifically categorize “employment, workers management and access to self-employment” as a high risk use of AI, meaning applications like Worksome are likely to face some of the highest levels of regulatory supervision in the future.

Nonetheless, Worksome is bullish when we ask about the risks associated with using AI as an intermediary for employment opportunities.

“We utilise fairly advanced matching algorithms to very effectively shortlist candidates for a role based solely on objective criteria, rinsed from human bias,” claims Petersen. “Our algorithms don’t take into account gender, ethnicity, name of educational institutions or other aspects that are usually connected to human bias.”

“AI has immense potential in solving major industry challenges such as recruitment bias, low worker mobility and low access to digital skills among small to medium sized businesses. We are firm believers that technology should be utilized to remove human bias’ from any hiring process,” he goes on, adding: “Our tech was built to this very purpose from the beginning, and the new proposed legislation has the potential to serve as a validator for the hard work we’ve put into this.

“The obvious potential downside would be if new legislation would limit innovation by making it harder for startups to experiment with new technologies. As always, legislation like this will impact the Davids more than the Goliaths, even though the intentions may have been the opposite.”

Zooming back out to consider the pandemic-fuelled remote working boom, Worksome confirms that most of the projects for which it supplied freelancers last year were conducted remotely.

“We are currently seeing a slow shift back towards a combination of remote and onsite work and expect this combination to stick amongst most of our clients,” Petersen goes on. “Whenever we are in uncertain economic times, we see a rise in the number of freelancers that companies are using. However, this trend is dwarfed by a much larger overall trend towards flexible work, which drives the real shift in the market. This shift has been accelerated by COVID-19 but has been underway for many years.

“While remote work has unlocked an enormous potential for accessing talent everywhere, 70% of the executives expect to use more temporary workers and contractors onsite than they did before COVID-19, according to a recent McKinsey study. This shows that businesses really value the flexibility in using an on-demand workforce of highly skilled specialists that can interact directly with their own teams.”

Asked whether it’s expecting growth in freelancing to sustain even after we (hopefully) move beyond the pandemic — including if there’s a return to physical offices — Petersen suggests the underlying trend is for businesses to need increased flexibility, regardless of the exact blend of full-time and freelancer staff. So platforms like Worksome are confidently poised to keep growing.

“When you ask business leaders, 90% believe that shifting their talent model to a blend of full-time and freelancers can give a future competitive advantage (Source: BCG),” he says. “We see two major trends driving this sentiment; access to talent, and building an agile and flexible organization. This has become all the more true during the pandemic — a high degree of flexibility is allowing organisations to better navigate both the initial phase of the pandemic as well the current pick up of business activity.

“With the amount of change that we’re currently seeing in the world, and with businesses are constantly re-inventing themselves, the access to highly skilled and flexible talent is absolutely essential — now, in the next 5 years, and beyond.”

Vena, a Canadian company focused on the Corporate Performance Management (CPM) software space, has raised $242 million in Series C funding from Vista Equity Partners.

As part of the financing, Vista Equity is taking a minority stake in the company. The round follows $25 million in financing from CIBC Innovation Banking last September, and brings Vena’s total raised since its 2011 inception to over $363 million.

Vena declined to provide any financial metrics or the valuation at which the new capital was raised, saying only that its “consistent growth and…strong customer retention and satisfaction metrics created real demand” as it considered raising its C round.

The company was originally founded as a B2B provider of planning, budgeting and forecasting software. Over time, it’s evolved into what it describes as a “fully cloud-native, corporate performance management platform” that aims to empower finance, operations and business leaders to “Plan to Grow” their businesses. Its customers hail from a variety of industries, including banking, SaaS, manufacturing, healthcare, insurance and higher education. Among its over 900 customers are the Kansas City Chiefs, Coca-Cola Consolidated, World Vision International and ELF Cosmetics.

Vena CEO Hunter Madeley told TechCrunch the latest raise is “mostly an acceleration story for Vena, rather than charting new paths.”

The company plans to use its new funds to build out and enable its go-to-market efforts as well as invest in its product development roadmap. It’s not really looking to enter new markets, considering it’s seeing what it describes as “tremendous demand” in the markets it currently serves directly and through its partner network.

“While we support customers across the globe, we’ll stay focused on growing our North American, U.K. and European business in the near term,” Madeley said.

Vena says it leverages the “flexibility and familiarity” of an Excel interface within its “secure” Complete Planning platform. That platform, it adds, brings people, processes and systems into a single source solution to help organizations automate and streamline finance-led processes, accelerate complex business processes and “connect the dots between departments and plan with the power of unified data.”            

Early backers JMI Equity and Centana Growth Partners will remain active, partnering with Vista “to help support Vena’s continued momentum,” the company said. As part of the raise, Vista Equity Managing Director Kim Eaton and Marc Teillon, senior managing director and co-head of Vista’s Foundation Fund, will join the company’s board.

“The pandemic has emphasized the need for agile financial planning processes as companies respond to quickly-changing market conditions, and Vena is uniquely positioned to help businesses address the challenges required to scale their processes through this pandemic and beyond,” said Eaton in a written statement. 

Vena currently has more than 450 employees across the U.S., Canada and the U.K., up from 393 last year at this time.

IT security software company Ivanti has acquired two security companies: enterprise mobile security firm MobileIron, and corporate virtual network provider Pulse Secure.

In a statement on Tuesday, Ivanti said it bought MobileIron for $872 million in stock, with 91% of the shareholders voting in favor of the deal; and acquired Pulse Secure from its parent company Siris Capital Group, but did not disclose the buying price.

The deals have now closed.

Ivanti was founded in 2017 after Clearlake Capital, which owned Heat Software, bought Landesk from private equity firm Thoma Bravo, and merged the two companies to form Ivanti. The combined company, headquartered in Salt Lake City, focuses largely on enterprise IT security, including endpoint, asset, and supply chain management. Since its founding, Ivanti went on to acquire several other companies, including U.K.-based Concorde Solutions and RES Software.

If MobileIron and Pulse Secure seem familiar, both companies have faced their fair share of headlines this year after hackers began exploiting vulnerabilities found in their technologies.

Just last month, the U.K. government’s National Cyber Security Center published an alert that warned of a remotely executable bug in MobileIron, patched in June, allowing hackers to break into enterprise networks. U.S. Homeland Security’s cybersecurity advisory unit CISA said that the bug was being actively used by advanced persistent threat (APT) groups, typically associated with state-backed hackers.

Meanwhile, CISA also warned that Pulse Secure was one of several corporate VPN providers with vulnerabilities that have since become a favorite among hackers, particularly ransomware actors, who abuse the bugs to gain access to a network and deploy the file-encrypting ransomware.

When Alibaba entered the cloud infrastructure market in earnest in 2015 it had ambitious goals, and it has been growing steadily. Today, the Chinese e-commerce giant announced quarterly cloud revenue of $2.194 billion. With that number, it has passed IBM’s $1.65 billion revenue result (according to Synergy Research market share numbers), a significant milestone.

But while $2 billion is a large figure, it’s one worth keeping in perspective. For example, Amazon announced $11.6 billion in cloud infrastructure revenue for its most recent quarter, while Microsoft’s Azure came in second place with $5.9 billion.

Google Cloud has held onto third place, as it has for as long as we’ve been covering the cloud infrastructure market. In its most recent numbers, Synergy pegged Google at 9% market share, or approximately $2.9 billion in revenue.

While Alibaba is still a fair bit behind Google, today’s numbers puts the company firmly in fourth place now, well ahead of IBM . It’s doubtful it could catch Google anytime soon, especially as the company has become more focused under CEO Thomas Kurian, but it is still fairly remarkable that it managed to pass IBM, a stalwart of enterprise computing for decades, as a relative newcomer to the space.

The 60% growth represented a slight increase from the previous quarter’s 59%, but basically means it held steady, something that’s not easy to do as a company reaches a certain revenue plateau. In its earnings call today, Daniel Zhang, chairman and CEO at Alibaba Group, said that in China, which remains the company’s primary market, digital transformation driven by the pandemic was a primary factor in keeping growth steady.

“Cloud is a fast-growing business. If you look at our revenue breakdown, obviously, cloud is enjoying a very, very fast growth. And what we see is that all the industries are in the process of digital transformation. And moving to the cloud is a very important step for the industries,” Zhang said in the call.

He believes eventually that most business will be done in the cloud, and the growth could continue for the medium term, as there are still many companies that haven’t made the switch yet, but will do so over time.

John Dinsdale, an analyst at Synergy Research, says that while China remains its primary market, the company does have a presence outside the country too, and can afford to play the long game in terms of the current geopolitical situation with trade tensions between the U.S. and China.

“Alibaba has already made some strides outside of China and Hong Kong. While the scale is rather small compared with its Chinese operations, Alibaba has established a data center and cloud presence in a range of countries, including six more APAC countries, U.S., U.K. and UAE. Among these, it is the market leader in both Indonesia and Malaysia,” Dinsdale told TechCrunch.

In its most recent data released a couple of weeks ago, prior to today’s numbers, Synergy broke down the market this way: “Amazon 33%, Microsoft 18%, Google 9%, Alibaba 5%, IBM 5%, Salesforce 3%, Tencent 2%, Oracle 2%, NTT 1%, SAP 1% – to the nearest percentage point.”

As Nvidia continues to work through its deal to acquire Arm from SoftBank for $40 billion, the computing giant is making another big move to lay out its commitment to investing in U.K. technology. Today the company announced plans to develop Cambridge-1, a new £40 million AI supercomputer that will be used for research in the health industry in the country, the first supercomputer built by Nvidia specifically for external research access, it said.

Nvidia said it is already working with GSK, AstraZeneca, London hospitals Guy’s and St Thomas’ NHS Foundation Trust, King’s College London and Oxford Nanopore to use the Cambridge-1. The supercomputer is due to come online by the end of the year and will be the company’s second supercomputer in the country. The first is already in development at the company’s AI Center of Excellence in Cambridge, and the plan is to add more supercomputers over time.

The growing role of AI has underscored an interesting crossroads in medical research. On one hand, leading researchers all acknowledge the role it will be playing in their work. On the other, none of them (nor their institutions) have the resources to meet that demand on their own. That’s driving them all to get involved much more deeply with big tech companies like Google, Microsoft and, in this case, Nvidia, to carry out work.

Alongside the supercomputer news, Nvidia is making a second announcement in the area of healthcare in the U.K.: it has inked a partnership with GSK, which has established an AI hub in London, to build AI-based computational processes that will be used in drug vaccine and discovery — an especially timely piece of news, given that we are in a global health pandemic and all drug makers and researchers are on the hunt to understand more about, and build vaccines for, COVID-19.

The news is coinciding with Nvidia’s industry event, the GPU Technology Conference.

“Tackling the world’s most pressing challenges in healthcare requires massively powerful computing resources to harness the capabilities of AI,” said Jensen Huang, founder and CEO of Nvidia, in his keynote at the event. “The Cambridge-1 supercomputer will serve as a hub of innovation for the U.K., and further the groundbreaking work being done by the nation’s researchers in critical healthcare and drug discovery.”

The company plans to dedicate Cambridge-1 resources in four areas, it said: industry research, in particular joint research on projects that exceed the resources of any single institution; university granted compute time; health-focused AI startups; and education for future AI practitioners. It’s already building specific applications in areas, like the drug discovery work it’s doing with GSK, that will be run on the machine.

The Cambridge-1 will be built on Nvidia’s DGX SuperPOD system, which can process 400 petaflops of AI performance and 8 petaflops of Linpack performance. Nvidia said this will rank it as the 29th fastest supercomputer in the world.

“Number 29” doesn’t sound very groundbreaking, but there are other reasons why the announcement is significant.

For starters, it underscores how the supercomputing market — while still not a mass-market enterprise — is increasingly developing more focus around specific areas of research and industries. In this case, it underscores how health research has become more complex, and how applications of artificial intelligence have both spurred that complexity but, in the case of building stronger computing power, also provides a better route — some might say one of the only viable routes in the most complex of cases — to medical breakthroughs and discoveries.

It’s also notable that the effort is being forged in the U.K. Nvidia’s deal to buy Arm has seen some resistance in the market — with one group leading a campaign to stop the sale and take Arm independent — but this latest announcement underscores that the company is already involved pretty deeply in the U.K. market, bolstering Nvidia’s case to double down even further. (Yes, chip reference designs and building supercomputers are different enterprises, but the argument for Nvidia is one of commitment and presence.)

“AI and machine learning are like a new microscope that will help scientists to see things that they couldn’t see otherwise,” said Dr. Hal Barron, chief scientific officer and president, R&D, GSK, in a statement. “NVIDIA’s investment in computing, combined with the power of deep learning, will enable solutions to some of the life sciences industry’s greatest challenges and help us continue to deliver transformational medicines and vaccines to patients. Together with GSK’s new AI lab in London, I am delighted that these advanced technologies will now be available to help the U.K.’s outstanding scientists.”

“The use of big data, supercomputing and artificial intelligence have the potential to transform research and development; from target identification through clinical research and all the way to the launch of new medicines,” added James Weatherall, PhD, head of Data Science and AI, AstraZeneca, in his statement.

“Recent advances in AI have seen increasingly powerful models being used for complex tasks such as image recognition and natural language understanding,” said Sebastien Ourselin, head, School of Biomedical Engineering & Imaging Sciences at King’s College London. “These models have achieved previously unimaginable performance by using an unprecedented scale of computational power, amassing millions of GPU hours per model. Through this partnership, for the first time, such a scale of computational power will be available to healthcare research – it will be truly transformational for patient health and treatment pathways.”

Dr. Ian Abbs, chief executive & chief medical director of Guy’s and St Thomas’ NHS Foundation Trust Officer, said: “If AI is to be deployed at scale for patient care, then accuracy, robustness and safety are of paramount importance. We need to ensure AI researchers have access to the largest and most comprehensive datasets that the NHS has to offer, our clinical expertise, and the required computational infrastructure to make sense of the data. This approach is not only necessary, but also the only ethical way to deliver AI in healthcare – more advanced AI means better care for our patients.”

“Compact AI has enabled real-time sequencing in the palm of your hand, and AI supercomputers are enabling new scientific discoveries in large-scale genomic data sets,” added Gordon Sanghera, CEO, Oxford Nanopore Technologies. “These complementary innovations in data analysis support a wealth of impactful science in the U.K., and critically, support our goal of bringing genomic analysis to anyone, anywhere.”