Bringing order and understanding to unstructured information located across disparate silos has been one of the more significant breakthroughs of the big data era, and today a European startup that has built a platform to help with this challenge specifically in the area of life sciences — and has, notably, been used by labs to sequence and so far identify two major COVID-19 variants — is announcing some funding to continue building out its tools to a wider set of use cases, and to expand into North America.

Seqera Labs, a Barcelona-based data orchestration and workflow platform tailored to help scientists and engineers order and gain insights from cloud-based genomic data troves, as well as to tackle other life science applications that involve harnessing complex data from multiple locations, has raised $5.5 million in seed funding.

Talis Capital and Speedinvest co-led this round, with participation also from previous backer BoxOne Ventures and a grant from the Chan Zuckerberg Initiative, Mark Zuckerberg and Dr. Priscilla Chan’s effort to back open source software projects for science applications.

Seqera — a portmanteau of “sequence” and “era”, the age of sequencing data, basically — had previously raised less than $1 million, and quietly, it is already generating revenues, with five of the world’s biggest pharmaceutical companies part of its customer base, alongside biotech and other life sciences customers.

Seqera was spun out of the Centre for Genomic Regulation, a biomedical research center based out of Barcelona, where it was built as the commercial application of Nextflow, open source workflow and data orchestration software originally created by the founders of Seqera, Evan Floden and Paolo Di Tommaso, at the CGR.

Floden, Seqera’s CEO, told TechCrunch that he and Di Tommaso were motivated to create Seqera in 2018 after seeing Nextflow gain a lot of traction in the life science community, and subsequently getting a lot of repeat requests for further customization and features. Both Nextflow and Seqera have seen a lot of usage: the Nextflow runtime has been downloaded more than 2 million times, the company said, while Seqera’s commercial cloud offering has now processed more than 5 billion tasks.

The COVID-19 pandemic is a classic example of the acute challenge that Seqera (and by association Nextflow) aims to address in the scientific community. With COVID-19 outbreaks happening globally, each time a test for COVID-19 is processed in a lab, live genetic samples of the virus get collected. Taken together, these millions of tests represent a goldmine of information about the coronavirus and how it is mutating, and when and where it is doing so. For a new virus about which so little is understood and that is still persisting, that’s invaluable data.

So the problem is not if the data exists for better insights (it does); it is that it’s nearly impossible to use more legacy tools to view that data as a holistic body. It’s in too many places, and there is just too much of it, and it’s growing every day (and changing every day), which means that traditional approaches of porting data to a centralized location to run analytics on it just wouldn’t be efficient, and would cost a fortune to execute.

That is where Segera comes in. The company’s technology treats each source of data across different clouds as a salient pipeline which can be merged and analyzed as a single body, without that data ever leaving the boundaries of the infrastructure where it already exists. Customised to focus on genomic troves, scientists can then query that information for more insights. Seqera was central to the discovery of both the Alpha and Delta variants of the virus, and work is still ongoing as COVID-19 continues to hammer the globe.

Seqera is being used in other kinds of medical applications, such as in the realm of so-called “precision medicine.” This is emerging as a very big opportunity in complex fields like oncology: cancer mutates and behaves differently depending on many factors, including genetic differences of the patients themselves, which means that treatments are less effective if they are “one size fits all.”

Increasingly, we are seeing approaches that leverage machine learning and big data analytics to better understand individual cancers and how they develop for different populations, to subsequently create more personalized treatments, and Seqera comes into play as a way to sequence that kind of data.

This also highlights something else notable about the Seqera platform: it is used directly by the people who are analyzing the data — that is, the researchers and scientists themselves, without data specialists necessarily needing to get involved. This was a practical priority for the company, Floden told me, but nonetheless, it’s an interesting detail of how the platform is inadvertently part of that bigger trend of “no-code/low-code” software, designed to make highly technical processes usable by non-technical people.

It’s both the existing opportunity and how Seqera might be applied in the future across other kinds of data that lives in the cloud that makes it an interesting company, and it seems an interesting investment, too.

“Advancements in machine learning, and the proliferation of volumes and types of data, are leading to increasingly more applications of computer science in life sciences and biology,” said Kirill Tasilov, principal at Talis Capital, in a statement. “While this is incredibly exciting from a humanity perspective, it’s also skyrocketing the cost of experiments to sometimes millions of dollars per project as they become computer-heavy and complex to run. Nextflow is already a ubiquitous solution in this space and Seqera is driving those capabilities at an enterprise level – and in doing so, is bringing the entire life sciences industry into the modern age. We’re thrilled to be a part of Seqera’s journey.”

“With the explosion of biological data from cheap, commercial DNA sequencing, there is a pressing need to analyse increasingly growing and complex quantities of data,” added Arnaud Bakker, principal at Speedinvest. “Seqera’s open and cloud-first framework provides an advanced tooling kit allowing organisations to scale complex deployments of data analysis and enable data-driven life sciences solutions.”

Although medicine and life sciences are perhaps Seqera’s most obvious and timely applications today, the framework originally designed for genetics and biology can be applied to any a number of other areas: AI training, image analysis and astronomy are three early use cases, Floden said. Astronomy is perhaps very apt, since it seems that the sky is the limit.

“We think we are in the century of biology,” Floden said. “It’s the center of activity and it’s becoming data-centric, and we are here to build services around that.”

Meetings are an inevitable part of the work day, but as workplaces became more distributed over the past 18 months, Vowel CEO Andy Berman says we are steadily moving toward “death by meeting.”

His virtual meeting platform is the latest to receive venture capital funding — $13.5 million — with the goal of making meetings more useful before, during and after.

Vowel is launching a meeting operating system with tools like real-time transcription; integrated agendas, notes and action items; meeting analytics; and searchable, on-demand recordings of meetings. The company has a freemium business model and will also be rolling out a business plan this fall for $16 per user per month. Extra features will include advanced integrations, security and admin controls.

The Series A was led by David Hornik of Lobby Capital, who was joined by existing investors Amity Ventures and Box Group and a group of individual investors, including Calendly CEO Tope Awotona, Intercom co-founder Des Traynor, Slack VP Ethan Eismann, former Yammer executive Viviana Faga, former InVision president David Fraga and Okta co-founder Frederic Kerrest.

Prior to starting Vowel, Berman was one of the founders of baby monitor company Nanit. The company had teams spread out around the world, and communication was tough as a result. In 2018, the company went looking for a tool that would work for synchronous and asynchronous meetings, but there were still a lot of time zones to manage, he said.

Taking a cue from Nanit’s own baby monitors that were streaming video over 17 hours a day, the idea for Vowel was born, and the company began to focus on the hypothesis that distributed work would be prevalent.

“People initially thought we were crazy, but then the pandemic hit, and everyone was learning how to work remotely,” Berman told TechCrunch. “As we now go back to hybrid work, we see this as an opportunity.”

In 2017, Harvard Business Review reported that executives spent 23 hours in meetings each week. Berman now estimates that the average worker spends half of their time each week in meetings.

Vowel is out to bring Slack, Figma and GitHub components to meetings by recording audio and video that can be paused at any time. Users can add notes and see where those notes fall within a real-time transcription that enables people who arrive late or could not make the meeting to catch up easily. After meetings are over, they can be shared, and Vowel has a search function so that users can go back and see where a particular person or topic was discussed.

The new funding will enable the company to grow its team in product, design and engineering. Vowel plans to hire up to 30 new people over the next year. The company recently closed its beta test and has amassed a 10,000-person waitlist. The public launch will happen in the fall, Berman said.

Workplace productivity and office communication tools are not new concepts, but as Berman explained, became increasingly important when homes became offices over the past 18 months.

Competitors took different approaches to solving these problems: focusing on video conferencing or audio or meeting management with plugins. Berman says an area where many have not succeeded yet is integrating meetings into the typical workflow. That’s where Vowel comes in with its “meeting OS,” he added.

“Our goal is to make meetings more inclusive and worthwhile, which includes the prep, the meeting and the follow-up,” Berman said. “We see the future will be about knowledge management, so the difference between what we are doing is ensuring you can catch up quickly and keep that knowledge base. A Garner report said that 75% of workplace meetings will be recorded by 2025, and that is a trend we are reinventing from the ground up.”

David Hornik, founding partner at Lobby Capital, said he became acquainted with Vowel from its existing investor Amity Ventures. Hornik, who sits on the GitLab board, said GitLab was one of the largest distributed companies in the tech space, prior to the pandemic, and saw first-hand the challenge of making distributed teams functionable.

When Hornik heard about Vowel, he said he “jumped quickly” on the opportunity. His firm typically invests in platform businesses that have the capacity to transform business spaces. Many are pure software, like Splunk or GitLab, while others are akin to Bill.com, which transformed how small businesses manage financial operations, he added.

All of those combine into a company, like Vowel, especially given the company’s vision for a meeting OS to transform a meeting space that hadn’t moved forward in decades, he said.

“This was quickly obvious to me because my day is meetings — an eight-Zoom day is a normal day — I just wish I could remember everything,” Hornik said. “Speaking with early customers using the product, when I asked them what they would do if this ever went away, the first thing they said was ‘cry,’ and, because there was no alternative, would return to Zoom or other tools, but it would be a big setback.”

Factorial, a startup out of Barcelona that has built a platform that lets SMBs run human resources functions with the same kind of tools that typically are used by much bigger companies, is today announcing some funding to bulk up its own position: the company has raised $80 million, funding that it will be using to expand its operations geographically — specifically deeper into Latin American markets — and to continue to augment its product with more features.

CEO Jordi Romero, who co-founded the startup with Pau Ramon and Bernat Farrero — said in an interview that Factorial has seen a huge boom of growth in the last 18 months and counts more than anything 75,000 customers across 65 countries, with the average size of each customer in the range of 100 employees, although they can be significantly (single-digit) smaller or potentially up to 1,000 (the “M” of SMB, or SME as it’s often called in Europe).

“We have a generous definition of SME,” Romero said of how the company first started with a target of 10-15 employees but is now working in the size bracket that it is. “But that is the limit. This is the segment that needs the most help. We see other competitors of ours are trying to move into SME and they are screwing up their product by making it too complex. SMEs want solutions that have as much data as possible in one single place. That is unique to the SME.” Customers can include smaller franchises of much larger organizations, too: KFC, Booking.com, and Whisbi are among those that fall into this category for Factorial.

Factorial offers a one-stop shop to manage hiring, onboarding, payroll management, time off, performance management, internal communications and more. Other services such as the actual process of payroll or sourcing candidates, it partners and integrates closely with more localized third parties.

The Series B is being led by Tiger Global, and past investors CRV, Creandum, Point Nine and K Fund also participating, at a valuation we understand from sources close to the deal to be around $530 million post-money. Factorial has raised $100 million to date, including a $16 million Series A round in early 2020, just ahead of the Covid-19 pandemic really taking hold of the world.

That timing turned out to be significant: Factorial, as you might expect of an HR startup, was shaped by Covid-19 in a pretty powerful way.

The pandemic, as we have seen, massively changed how — and where — many of us work. In the world of desk jobs, offices largely disappeared overnight, with people shifting to working at home in compliance with shelter-in-place orders to curb the spread of the virus, and then in many cases staying there even after those were lifted as companies grappled both with balancing the best (and least infectious) way forward and their own employees’ demands for safety and productivity. Front-line workers, meanwhile, faced a completely new set of challenges in doing their jobs, whether it was to minimize exposure to the coronavirus, or dealing with giant volumes of demand for their services. Across both, organizations were facing economics-based contractions, furloughs, and in other cases, hiring pushes, despite being office-less to carry all that out.

All of this had an impact on HR. People who needed to manage others, and those working for organizations, suddenly needed — and were willing to pay for — new kinds of tools to carry out their roles.

But it wasn’t always like this. In the early days, Romero said the company had to quickly adjust to what the market was doing.

“We target HR leaders and they are currently very distracted with furloughs and layoffs right now, so we turned around and focused on how we could provide the best value to them,” Romero said to me during the Series A back in early 2020. Then, Factorial made its product free to use and found new interest from businesses that had never used cloud-based services before but needed to get something quickly up and running to use while working from home (and that cloud migration turned out to be a much bigger trend played out across a number of sectors). Those turning to Factorial had previously kept all their records in local files or at best a “Dropbox folder, but nothing else,” Romero said.

It also provided tools specifically to address the most pressing needs HR people had at the time, such as guidance on how to implement furloughs and layoffs, best practices for communication policies and more. “We had to get creative,” Romero said.

But it wasn’t all simple. “We did suffer at the beginning,” Romero now says. “People were doing furloughs and [frankly] less attention was being paid to software purchasing. People were just surviving. Then gradually, people realized they needed to improve their systems in the cloud, to manage remote people better, and so on.” So after a couple of very slow months, things started to take off, he said.

Factorial’s rise is part of a much, longer-term bigger trend in which the enterprise technology world has at long last started to turn its attention to how to take the tools that originally were built for larger organizations, and right size them for smaller customers.

The metrics are completely different: large enterprises are harder to win as customers, but represent a giant payoff when they do sign up; smaller enterprises represent genuine scale since there are so many of them globally — 400 million, accounting for 95% of all firms worldwide. But so are the product demands, as Romero pointed out previously: SMBs also want powerful tools, but they need to work in a more efficient, and out-of-the-box way.

Factorial is not the only HR startup that has been honing in on this, of course. Among the wider field are PeopleHR, Workday, Infor, ADP, Zenefits, Gusto, IBM, Oracle, SAP and Rippling; and a very close competitor out of Europe, Germany’s Personio, raised $125 million on a $1.7 billion valuation earlier this year, speaking not just to the opportunity but the success it is seeing in it.

But the major fragmentation in the market, the fact that there are so many potential customers, and Factorial’s own rapid traction are three reasons why investors approached the startup, which was not proactively seeking funding when it decided to go ahead with this Series B.

“The HR software market opportunity is very large in Europe, and Factorial is incredibly well positioned to capitalize on it,” said John Curtius, Partner at Tiger Global, in a statement. “Our diligence found a product that delighted customers and a world-class team well-positioned to achieve Factorial’s potential.”

“It is now clear that labor markets around the world have shifted over the past 18 months,” added Reid Christian, general partner at CRV, which led its previous round, which had been CRV’s first investment in Spain. “This has strained employers who need to manage their HR processes and properly serve their employees. Factorial was always architected to support employers across geographies with their HR and payroll needs, and this has only accelerated the demand for their platform. We are excited to continue to support the company through this funding round and the next phase of growth for the business.”

Notably, Romero told me that the fundraising process really evolved between the two rounds, with the first needing him flying around the world to meet people, and the second happening over video links, while he was recovering himself from Covid-19. Given that it was not too long ago that the most ambitious startups in Europe were encouraged to relocate to the U.S. if they wanted to succeed, it seems that it’s not just the world of HR that is rapidly shifting in line with new global conditions.

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

TheCut, a technology platform designed to handle back-end operations for barbers, raised $4.5 million in new funding.

Nextgen Venture Partners led the round and was joined by Elevate Ventures, Singh Capital and Leadout Capital. The latest funding gives theCut $5.35 million in total funding since the company was founded in 2016, founder Obi Omile Jr. told TechCrunch.

Omile and Kush Patel created the mobile app that provides information and reviews on barbers for potential customers while also managing appointments, mobile payments and pricing on the back end for barbers.

“Kush and I both had terrible experiences with haircuts, and decided to build an app to help find good barbers,” Omile said. “We found there were great barbers, but no way to discover them. You can do a Google search, but it doesn’t list the individual barber. With theCut, you can discover an individual barber and discover if they are a great fit for you and won’t screw up your hair.”

The app also enables barbers, perhaps for the first time, to have a list of clients and keep notes and photos of hair styles, as well as track visits and spending. By providing payments, barbers can also leverage digital trends to provide additional services and extras to bring in more revenue. On the customer side, there is a search function with barber profile, photos of their work, ratings and reviews, a list of service offerings and pricing.

Omile said there are 400,000 to 600,000 barbers in the U.S., and it is one of the fastest-growth markets. As a result, the new funding will be used to hire additional talent, marketing and to grow the business across the country.

“We’ve gotten to a place where we are hitting our stride and seeing business catapulting, so we are in hiring mode,” he added.

Indeed, the company generated more than $500 million in revenue for barbers since its launch and is adding over 100,000 users each month. In addition, the app averages 1.5 million appointment bookings each month.

Next up, Omile wants to build out some new features like a digital store and the ability to process more physical payments by rolling out a card reader for in-person payments. TheCut will also focus on enabling barbers to have more personal relationships with their customers.

“We are building software to empower people to be the best version of themselves, in this case barbers,” he added. “The relationship with customers is an opportunity for the barber to make specific recommendations on products and create a grooming experience.”

As part of the investment, Leadout founder and managing partner Ali Rosenthal joined the company’s board of directors. She said Omile and Patel are the kind of founders that venture capitalists look for — experts in their markets and data-driven technologists.

“They had done so much with so little by the time we met them,” Rosenthal added. “They are creating a passionate community and set of modern, tech-driven features that are tailored to the needs of their customers.”