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Seqera Labs grabs $5.5M to help sequence COVID-19 variants and other complex data problems

Published September 7, 2021

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.”

Seqera is not disclosing its valuation with this round.

Ledgy is an equity management tool for European startups

Published September 7, 2021

Every startup founder faces the same issue — how do you manage your cap table and equity plans in a transparent and lightweight manner? If you’re based in the U.S., chances are you’re using an equity management solution like Carta. But if you’re not based in the U.S., you don’t have a ton of options.

Ledgy wants to become the ownership management tool for the rest of the world. Based in Switzerland, several well-known European startups are already using Ledgy, such as Wefox, Kry, Bitpanda, Gorillas and Trade Republic.

The company recently closed a $10 million Series A funding round led by Sequoia Capital. Other investors in the round include Xavier Niel, Harry Stebbings, Visionaries Club, UiPath’s Daniel Dines and Front’s Mathilde Collin. Some of Ledgy’s existing investors also invested once again, such as Myke Näf, Paul Sevinç, btov Partners, Creathor Ventures and VI Partners.

A few years ago, when Ledgy co-founder and CEO Yoko Spirig talked with an entrepreneur, the founder showed her how he managed ownership. He opened an Excel spreadsheet and scrolled, scrolled, scrolled… “Each line represented a share. You can imagine how error-prone it is,” she told me.

While the implementation was odd, most companies in Europe are still using Excel spreadsheets to manage ownership. And Ledgy wants to convince those companies that switching to a software solution that has been specifically designed to solve this issue could be beneficial.

“The key has really been to focus on the software infrastructure. What we do is that we have implemented automation workflows that are adaptable depending on countries,” Spirig said. “We’re not focusing on one regulation and we’re really offering the infrastructure layer,” she added.

That’s why Ledgy already supports 32 countries. It has tweaked its product even more specifically for Germany, Austria and Switzerland. There will be more country-specific releases in the near future for startups based in the U.K. and France. 1,500 companies are using Ledgy right now.

When you switch to Ledgy, there are three main advantages. First, like other software-as-a-service products, Ledgy acts as a single source of truth for all stakeholders — the HR team, the finance team, investors, lawyers and employees.

The second selling point is that you can automate some of the most tedious tasks. For instance, Ledgy can automatically generate documents based on templates and different variables. Signed documents are stored on Ledgy. You can export data every quarter or every year for compliance reasons.

Third, it fosters transparency across the company. Employees can check the value of their options. They can see how much their options could be worth if the leadership team is in the process of raising a new round of funding.

With today’s funding round, Ledgy plans to expand into new markets. The company also plans to roll out support for public companies so that some of its existing customers can go public and keep using Ledgy.

Image Credits: Ledgy

Portcast gets $3.2M to create more transparent and sustainable supply chains

Published September 7, 2021

Portcast founders Dr. Lingxiao Xia and Nidhi Gupta

For many manufacturers and freight forwarders, managing logistics is still a very manual process: tracking shipments with a call or online lookup, and entering that data into an Excel spreadsheet. Portcast, which describes itself as a “next-generation logistics operating system,” makes the process more efficient by gathering data from myriad sources and not only track shipments in real-time, but also predicts what might affect its progress, like major weather events, the tide and pandemic-related issues.

The company announced today it has raised $3.2 million in pre-Series A funding, led by Newtown Partners, through the Imperial Venture Fund, with participation from Wavemaker Partners, TMV, Innoport and returning investor SGInnovate. Based in Singapore, Portcast serves clients in Asia and Europe, and will use part of its funding to expand into more markets.

Co-founders Nidhi Gupta and Dr. Lingxiao Xia met at Entrepreneur First in Singapore. Before launching Portcast, Gupta, its chief executive officer, served in leadership roles across Asia at DHL. During that time, she realized the logistic sector’s “inefficiencies are actually an opportunity in this space to create something.” Dr. Xia, who holds a PhD in machine learning and has a background in product development and cloud computing, “was a great complementary fit” and is now Portcast’s chief technology officer.

Portcast says it tracks more than 90% of world trade volume that travels by ocean carriers, and 35% of air cargo, and can forecast demand for 30,000 trade routes. Sources include geospatial data, like satellite data about where ships are, what speed and direction they’re moving in, what ports they are headed for, wind speed and wave height. Portcast also looks at economic patterns (for example, Brexit’s impact on ports around the United Kingdom, and how vaccine rollouts around the world changes airline and ship capacity), weather events like typhoon and disruptions like the Suez Canal blockage.

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Other data sources include proprietary transactional data from customers including large shipping companies and freight forwarders.

“The challenge for us is how do we let all of this data speak the same language,” Gupta told TechCrunch. “This data is coming in at different frequencies, different granularities, so how do you consolidate that and make sure the machine can start understanding it and interpreting it.”

Portcast’s two main solutions are currentlu Intelligent Container Visibility for real-time tracking of shipment containers, and Forecasting and Demand Management, which tracks booking patterns. Portcast doesn’t use IoT to track containers since it is cost-prohibitive to place a device in every one, but is working with IoT providers on hybrid solutions—for example, putting a tracking device in one container and then using that data to help manage the rest of the shipment.

The startup’s goal is to make predictions that help companies improve the efficiency of their operations, and reduce their reliance on manual processes. “There are logistics operators with hundreds of cargo coming in every single week, they’re going and checking this manually every day. That goes into an Excel sheet and that’s what the planning of downstream operations is based off of,” said Gupta.

But the COVID-19 pandemic created an “urgent need to digitize, and it’s transformed supply chains from being a cost function to the core of getting products on time, so we work with some of the largest manufacturers as well as freight forwarders,” she added. For example, a food and beverage company in Europe sent a shipment to Taipei, a trip that usually takes about 70 days. But it took more than three months to arrive. Portcast was able to track the shipment as it moved across different ports and ships, helping its customers understand what caused the delay.

COVID-19 revealed the fragility of supply chains

“Besides just predicting when there will be a likely disruption, we’re able to pinpoint and say there’s a delay of X days because there will likely be a typhoon or a transshipment, and that empowers them because they can tell their trucking and warehousing teams how many containers are going to come in,” said Gupta. “This reduces port fees, detention charges and the number of hours spent on manually checking different company’s websites and trying to figure out what happened to their supply chain.”

One of Portcast’s advantages over other logistics tech startups that want to fix supply chain visibility is that it launched out of the Asia-Pacific region, where ships usually go through multiple ports and have to work around frequent weather events like tropical storms and typhoons. The technology Portcast developed to create shorter voyages between Singapore and Malaysia (for example) is also applicable to intercontinental routes like Asia and Europe, or Asia and the United States.

“Our technology is global in scale and that allows us to compete against other players in this market,” said Gupta. “The other thing that differentiates us is that we work not just with manufacturers, but also with shipping companies, logistics companies and cargo airlines, and that allows us to create network effects. There is a really strong synergy between what’s happening in ocean freight and air freight, and that allows us to understand patterns in the industry and creates leverage for any other company that comes onto our platform.

Portcast’s future plans include moving from predictive AI to include prescriptive AI within the next two quarters. Right now, the platform can tell companies what is causing delays, but prescriptive AI will also enable it to make automated suggestions. For example, it can tell clients what ports are faster, other ships and modes of transport that can help them get around a disruption and how to optimize their capacity.

The company is also planning to launch Order Visiblity by the end of this year, a feature that will track containers filled with a specific item. Consumer prices for many different kinds of products are rising, due in part to overwhelmed supply chains. By enabling companies to track specific SKUs in real-time, Portcast can not only help items arrive more quickly, but also show how much CO2 emissions each shipment creates.

“Carbon offsetting or carbon trading can only happen once you have visibility into how much you are actually spending, and that’s the piece we can get involved in,” said Gupta. “By allowing predictions like, for example, if you will arrive early, that’s an opportunity for a shipping company to slow down and save fuel like bunker fuel, which not only brings an immense amount of savings, but also reduces CO2 emissions.

How tech can build more resilient supply chains

Gamestry gets $5M to give games video creators a sweeter deal

Published September 7, 2021

Barcelona-based gaming video platform Gamestry has snatched up $5 million in seed funding, led by Goodwater Capital, Target Global and Kibo Ventures — turning investors’ heads with a 175x growth rate over the past 12 months.

While the (for now) Spanish-language gaming video platform launched a few years back, in 2018, last year the founders decided to shift away from an initial focus on curating purely learning content around gaming — allowing creators to upload and share entertainment-focused games videos, too.

The switch looks to have paid off as a growth tactic. Gamestry says it now has 4M monthly active users (MAUs) and 2,000 active creators in Spain and Latin America (its main markets so far) — and is gunning to hit 20M MAUs by the end of the year.

While Twitch continues to dominate the market for live-streaming games — catering to the esports boom — Gamestry, which says it’s focused on “non-live video content”, reckons there’s a gap for a dedicated on-demand video platform that better supports games-focused video creators and provides games fans with a more streamlined discovery experience than catch-all user-generated content giants like YouTube.

For games video creators, it’s dangling the carrot of a better revenue share than other UGC video platforms — talking about having “a fair ads revenue share model”, and a plan to add more revenue streams for creators “soon”. It also pledges “full transparency on how the monetization structure works”, and a focus on supporting creators if they have technical issues.

So, basically, the sorts of issues creators have often complained that YouTube fails them on.

For viewers, the pitch is a one-stop-shop for finding and watching videos about games and connecting with others with the same passion (gaming chat) — so the platform structures content around individual games titles.

The startup also claims to present viewers with better info about a video to help them decide whether or not to click on it (aka, tools to help them find “quality instead of clickbait”), beyond basics like title, thumbnail and videos. (Albeit to my admittedly unseasoned eye for assessing the calibre of games video content, there is no shortage of clickbaity-looking stuff on Gamestry. But I am definitely not the target audience here…). So the viewer pitch also sounds like another little dig at YouTube.

“Despite being the de-facto place for uploading content, YouTube is a generic platform that is not optimized for gaming and therefore doesn’t cater to the needs of gaming creators,” argue founders — brothers Alejo and Guillermo Torrens — adding: “Vertical or specialized platforms emerge whenever markets become large enough that current platforms can’t serve their users’ needs and we believe that’s exactly what’s happening today.”

Target Global’s Lina Chong led the international fund’s investment in Gamestry. Asked what piqued her interest here, she flagged the recent growth spurt and the platform having onboarded scores of highly engaged games content creators in short order.

“The problem Gamestry is addressing is that the vast majority of creators don’t make much money on those platforms because they are ads/eyeball driven businesses,” she told TechCrunch. “Gamestry provides a space where creators, despite audience size, can find new ways to engage with their audience and make a living. This problem among creators is so big that Gamestry now has over 2k highly engaged creators uploading multiple content pieces and millions of their viewers on the platform every month.”

It will surely surprise no one to learn that the typical Gamestry user is a male, aged between 18 and 24.

The startup also told us the “most trending” games on its platform are Minecraft, Free Fire, and Fortnite, adding that “IRL (In Real Life) content is also very successful”.

As well as YouTube Gaming, other platforms competing for similar games-mad eyeballs include Facebook Gaming and Booyah.

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H2O Hospitality secures $30M Series C to expedite hotel digital transformation

Published September 6, 2021

The pandemic has triggered more demand for contactless and staff-less operations in the hospitality sector, and now H2O Hospitality, the unmanned hotel management company, has closed a $30 million round on the back of that boost. The South Korea and Japan-based startup automates front and backend processes including accommodation reservation, room management and front desk duties, and it will be using the funds to continue expanding its business.

The Series C round (equivalent to about 34 billion won) is being led by Kakao Investment and Korea Development Bank (KDB), Gorilla Private Equity, Intervest and NICE Investment also participated. With Southeast Asia’s joint fund, Kejora-Intervest Growth Fund also joined in the round, it is a sign that H2O Hospitality will be focusing specifically on the Southeast Asian Market. H2O Hospitality has raised $7 million Series B round from Samsung Ventures, Stonebridge Ventures, IMM Investment and Shinhan Capital in February 2020.

H2O Hospitality will expand its business further by adding various types of accommodations in South Korea and Japan in 2021 and 2022 and plans to enter Singapore and Indonesia in 4Q in 2022 in line with its Southeast Asia penetration strategy, according to H2O Hospitality co-founder and CEO John Lee.

“H2O Hospitality is currently speaking with several global hotel chain companies to partner with their digital transformation and operation outside of Korea and Japan,” Lee told TechCrunch.

H2O will invest in R&D to advance its customer channel solutions and contactless check-in systems depending on customer needs of each country in Asia, Lee continued.

“We need optimal system development and customization for each accommodation and situation to lead successful hotel digital transformation even after COVID-19,” Lee said in an email interview.

H2O Hospitality was founded in South Korea 2015 by CEO John Lee, and it has been on something of an acquisition-expansion spree. It entered Japan in 2017, for example, by acquiring several Japanese hospitality management companies. In 2021, H2O acquired two South Korean companies such as the contactless hotel solution company, ImGATE, and a local creator startup, Replace, in order to enhance its technology and ESG competence.

These days, the company operates approximately 7,500 accommodations including hotels, ryokans and guest houses, in Tokyo, Osaka, Seoul, Busan, and Bangkok.

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H2O Hospitality’s Information and Communications Technology (ICT)-based hotel management system, which enables hotel management to automate and digitize, includes the Channel Management System (CMS), Property Management System (PMS), Room Management System (RMS), and Facility Management System (FMS).

Its integrated hotel management system can reduce hotel management’s fixed operating costs by 50%, while increasing revenue by as much as 20%, according to its statement.

“COVID-19 hit the hospitality industry the most and most of the hotels wanted to decrease their fixed cost level, but it was impossible with their current operational flow,” Lee continued, “They had to go through digital transformation”.

When asked how the pandemic affected H2O as COVID-19 still freezes most of the tourism industry, Lee said H2O’s revenue has been increased by as much as 30% before the pandemic, but that percentage has been dropped to 5-15% post COVID-19. Revenue drivers these days are based around tools it’s built to improve the efficiency of its customers. They include its automated dynamic pricing (ADR) tool and diverse sales channels like online and offline travel agencies in domestic and overseas, he said.

Lee also pointed out that H2O has been onboarding a lot of properties and that has also contributed to H2O’s revenue growth in the last 18 months. H2O was the only company in Asia, he claims, and many property owners have started to get onboard since August 2020, he explained.

“Every single hotel that we onboarded during the pandemic turned around their profits & losses statements and started to recover their financial loss,” Lee said.

There are currently about 16.4 million hotel rooms in the world that generate $570 billion a year, according to Lee. H2O believes that it can digitize all the lodging accommodations in the world as the company’s main goal is not building a hotel brand but allowing hotel owners to operate their properties with better operation, he said.

Lee explained that the current hotel operation process looks a lot like that of “2G phones”, that was at a stage before turning to smartphones, and H2O is turning the overall hotel operation into a “smartphone”.

“This is a very natural transition for the (hospitality) industry as it was also natural for the cellphone users to transit from 2G phone to smartphone,” Lee said.

Unfortunately, the cross-border inbound tourism market has still been stopped for both Korea and Japan even though each domestic market is still pumping demand for the market, Lee mentioned.

“We believe the inbound tourism market will recover within a year as the vaccinations grow for both countries (Korea and Japan),” Lee said.

Managing Director at Kejora-Intervest Growth Fund Jun-seok Kang told TechCrunch: “We knew this new wave for hotel digital transformation trend was coming even before the pandemic; however, COVID-19 definitely expedited the transition period, and we believe H2O will thrive in the transforming hotel market.”

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Fractory raises $9M to rethink the manufacturing supply chain for metalworks

Published September 6, 2021

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

Mobius Labs nabs $6M to help more sectors tap into computer vision

Published September 6, 2021

Berlin-based Mobius Labs has closed a €5.2 million (~$6.1M) funding round off the back of increased demand for its computer vision training platform. The Series A investment is led by Ventech VC, along with Atlantic Labs, APEX Ventures, Space Capital, Lunar Ventures plus some additional angel investors.

The startup offers an SDK that lets the user create custom computer vision models fed with a little of their own training data — as an alternative to off-the-shelf tools which may not have the required specificity for a particular use-case.

It also flags a ‘no code’ focus, saying its tech has been designed with a non-technical user in mind.

As it’s an SDK, Mobius Labs’ platform can also be deployed on premise and/or on device — rather than the customer needing to connect to a cloud service to tap into the AI tool’s utility.

“Our custom training user interface is very simple to work with, and requires no prior technical knowledge on any level,” claims Appu Shaji, CEO and chief scientist.

“Over the years, a trend we have observed is that often the people who get the maximum value from AI are non technical personas like a content manager in a press and creative agency, or an application manager in the space sector. Our no-code AI allows anyone to build their own applications, thus enabling these users to get close to their vision without having to wait for AI experts or developer teams to help them.”

Mobius Labs — which was founded back in 2018 — now has 30 customers using its tools for a range of use cases.

Uses include categorisation, recommendation, prediction, reducing operational expense, and/or “generally connecting users and audiences to visual content that is most relevant to their needs”. (Press and broadcasting and the stock photography sector have unsurprisingly been big focuses to date.)

But it reckons there’s wider utility for its tech and is gearing up for growth.

It caters to businesses of various sizes, from startups to SMEs, but says it mainly targets global enterprises with major content challenges — hence its historical focus on the media sector and video use cases.

Now, though, it’s also targeting geospatial and earth observation applications as it seeks to expand its customer base.

The 30-strong startup has more than doubled in size over the last 18 months. With the new funding it’s planning to double its headcount again over the next 12 months as it looks to expand its geographical footprint — focusing on Europe and the US.

Year-on-year growth has also been 2x but it believes it can dial that up by tapping into other sectors.

“We are working with industries that are rich in visual data,” says Shaji. “The geospatial sector is something that we are focussing on currently as we have a strong belief that vast amounts of visual data is being produced by them. However, these huge archives of raw pixel data are useless on their own.

“For instance, if we want to track how river fronts are expanding, we have to look at data collected by satellites, sort and tag them in order to analyse them. Currently this is being done manually. The technology we are creating comes in a lightweight SDK, and can be deployed directly into these satellites so that the raw data can be detected and then analysed by machine learning algorithms. We are currently working with satellite companies in this sector.”

On the competitive front, Shaji names Clarifai and Google Cloud Vision as the main rivals it has in its sights.

“We realise these are the big players but at the same time believe that we have something unique to offer, which these players cannot: Unlike their solutions, our platform users can be outside the field of computer vision. By democratising the training of machine learning models beyond simply the technical crowd, we are making computer vision accessible and understandable by anyone, regardless of their job titles,” he argues.

“Another core value that differentiates us is the way we treat client data. Our solutions are delivered in the form of a Software Development Kit (SDK), which runs on-premise, completely locally on clients’ systems. No data is ever sent back to us. Our role is to empower people to build applications, and make them their own.”

Computer vision startups have been a hot acquisition target in recent years and some earlier startups offering ‘computer vision as a service’ got acquired by IT services firms to beef up their existing offerings, while tech giants like Amazon and (the aforementioned) Google offer their own computer vision services too.

But Shaji suggests the tech is now at a different stage of development — and primed for “mass adoption”.

“We’re talking about providing solutions that empower clients to build their own applications,” he says, summing up the competitive play. “And that [do that] with complete data privacy, where our solutions run on-premise, and we don’t see our clients data. Coupled with that is the ease of use that our technology offers: It is a lightweight solution that can be deployed on many ‘edge’ devices like smartphones, laptops, and even on satellites.”

Commenting on the funding in a statement, Stephan Wirries, partner at Ventech VC, added: “Appu and the team at Mobius Labs have developed an unparalleled offering in the computer vision space. Superhuman Vision is impressively innovative with its high degree of accuracy despite very limited required training to recognise new objects at excellent computational efficiency. We believe industries will be transformed through AI, and Mobius Labs is the European Deep Tech innovator teaching machines to see.”

Google Opens Its Cloud Vision API To All Developers

Spain’s Factorial raises $80M at a $530M valuation on the back of strong traction for its ‘Workday for SMBs’

Published September 6, 2021

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.

Singapore-based caregiving startup Homage raises $30M Series C

Published September 6, 2021

Homage, the caregiving-focused startup, has raised a $30 million Series C led by Sheares Healthcare Group, which is wholly-owned by investment firm Temasek. Other participants included new investors DG Daiwa Ventures and Sagana Capital, and returning backers East Ventures (Growth), HealthXCapital, SeedPlus, Trihill Capital and Alternate Ventures.

The new funding will be used to develop Homage’s technology, continue integrating with aged and disability care payer and provider infrastructure and speed-up its regional expansion through partnerships with hospitals and care providers. Homage currently operates in Singapore, Malaysia and Australia.

The Singapore-based company’s services include home visits from caregivers, nurses, therapists and doctors; telemedicine; and services for chronic illnesses. One of the reasons Homage’s platform is able to scale up is its matching engine, which helps clients, like older adults and people living with chronic conditions, find providers who are best suited to their needs (the final matches are made by Homage’s team).

Homage’s Gillian Tee on how technology can serve the world’s aging population

The startup says the round was oversubscribed and one of the largest fundings raised by an on-demand care platform in Southeast Asia and Oceania so far. It brings Homage’s total raised to more than $45 million.

As part of Series C, Sheares Healthcare Group chief corporate development officer Khoo Ee Ping will join Homage’s board of directors.

Homage now has a regional network of more than 6,000 pre-screened and trained care professionals. It claims that its business outside of Singapore has grown more than 600% year-over-year in 2021, and it has more than tripled revenue over the past year.

The gray revolution: Fundraising within the older adult space

Quantum Machines plans to expand quantum orchestration platform with $50M investment

Published September 5, 2021

Quantum Machines, an Israeli startup that is building the classical hardware and software infrastructure to help run quantum machines, announced a $50 million Series B investment today.

Today’s round was led by Red Dot Capital Partners with help from Exor, Claridge Israel, Samsung NEXT, Valor Equity Partners, Atreides Management, LP, as well as TLV Partners, Battery Ventures, 2i Ventures and other existing investors. The company has now raised approximately $83 million, according to Crunchbase data.

While quantum computing in general is in its early days, Quantum Machines has developed a nice niche by building a hardware and software system, what they call The Quantum Orchestration Platform, that helps run the burgeoning quantum machines, leaving it plenty of room to grow as the industry develops.

Certainly Quantum Machines co-founder and CEO Itamar Sivan, who has been working in quantum his entire career, sees the vast potential of this technology. “Quantum computers have the promise of potentially speeding up very substantially computations that are impossible to complete in reasonable time with classical computers, and this is at the highest level the interest in the field right now. Our vision specifically at Quantum Machines is to make quantum computers ubiquitous and disruptive across all industries,” he said.

To achieve that, the company has created a system that relies on classical computers to power quantum computers as they develop. While the company has designed its own silicon for this purpose, it is important to note that it is not building quantum chips. As Sivan explains, the classical computer has a software and hardware layer, but quantum machines have three layers: “The quantum hardware, which is the heart, and on top of that you have classical hardware […] and then on top of that you have software,” he said.

“We focus on the two latter layers. So classical hardware and the software that drives it. Now at the heart of our hardware is in fact a classical processor. So this is I think one of the most interesting parts of the quantum stack,” he explained.

He says that this interaction between classical computing and quantum computing is one that is fundamental to the technology, and it’s a mix that will last well into the future, possibly forever. What Quantum Machines is building is essentially the classical cloud infrastructure required to run quantum computers.

Quantum Machines founding team: Itamar Sivan, Nissim Ofek, Yonatan Cohen. Photo Credit: Quantum Machines

So far the approach has been working quite well, as Sivan reports that governments, researchers, universities and the hyper scaler operators (which could include companies like Amazon, Netflix and Google, although the company has not said they are customers) are all interested in QM’s technology. While it isn’t discussing specific metrics, the company has customers in 15 countries at the moment and is working with some large entities that it couldn’t name.

The money from this round helps validate what the company is doing, enabling it to continue building out the solution, while also investing heavily in research and development, which is essential as the industry is still in early development and much will change over time.

They have been able to create this solution to this point with just 60 employees, and with the new funding should be able to build out the team in a substantial way in the coming years. He says that when it comes to diversity, he comes from an academic background where this is the norm and he has carried this forth to his company as he hires new people. What’s more, the pandemic has allowed him to hire from anywhere and he says that the company has taken advantage of this opportunity.

“First of all, we’re not hiring just in Israel, we’re hiring globally, and we’re not limited to hiring in specific geographies. We have people [from a number of countries],” he said. He adds, “Diversity for me personally means involving as many people as possible in hiring processes. That is the only way to ensure that there is diversity.”

Even throughout the pandemic, the hardware team has been meeting in person in the office with necessary precautions when it has been allowed, but most employees have continued to work from home, and that is an approach he will continue to take even when it’s safe to return to the office on a regular basis.

“Of course, work in a post-COVID era will include a substantial amount of remote work. […] So even in [our] headquarters, we anticipate allowing people to work remotely [if they wish].

Quantum Machines raises $17.5M for its Quantum Orchestration Platform