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Fantasy fantasy sport Blaseball developers score $3M seed funding to go mobile
In the absence of a real baseball league, it is perhaps not surprising that a simulated one should grow popular during the troubled year 2020. But even so, the absurdist horror and minimalist aesthetic of Blaseball seem an unlikely success. The text-based fantasy fantasy league has attracted hundreds of thousands of players and now $3 million in funding to build up the game and go mobile.
If you’re unfamiliar with Blaseball, feel free to go check it out now and sign up — it’s free. You’ll probably get a better idea of what the game is from 30 seconds of browsing than the next couple paragraphs.
For those of you who’d rather read, however, Blaseball is a web-based fictional baseball-esque league where players can bet in-game currency on the outcomes. But this is where things get weird. The teams aren’t the Mariners or the Mets but the Moist Talkers and the Worms; players have names like Chorby Soul and Peanutiel Duffy; their stats include things like allergies, pregame rituals and an inventory of RPG-like items.
Likewise, games — told through simple text summaries of the action like you might see in the corner of a sports site — involve hits, balls and stealing, but also incineration, shaming and secret bases. “Weather” might involve spontaneous blood transfusions between players, or birds that interfere with play.
In short, it’s totally ridiculous, utterly unpredictable and very funny. This totally unique concoction of fantasy leagues, baseball satire and cosmic horror has accrued a dedicated yet routinely puzzled fanbase over its 19-week-long seasons. And like so many hits, this one came as something of a shock to its creators.
Image Credits: The Game Band
“We’re as surprised as you are,” said Sam Rosenthal, founder and CEO of The Game Band, which developed (and is developing) the game. “Blaseball was an experimental side project for the studio — we were in the middle of a pandemic, publishers were in a spending freeze, it was a scary time. We wanted to make a game that brings people together in this really isolating time.”
The idea for it came from banter at a real baseball game, where Rosenthal and a friend speculated about a league where the rules were “different and more chaotic.” Of course the rules of real-life baseball are continually being revised, but so far there haven’t been any resurrections of players incinerated by rogue umpires, free runs for home teams or shrink rays.
While the resulting game-like product bears some resemblance to baseball, betting and fantasy leagues, it’s much too weird and random to really be considered the same thing. That’s led to some friction as players who expect a more traditional experience lose coins on a game decided by, say, a bird pecking their team’s star hitter inside an enormous peanut shell, or a guaranteed home run because the batter ate magma.
The Hades Tigers … so hot right now. The roster shows a team’s current and permanent attributes, while players can work together to create change by voting weekly. Image Credits: The Game Band
“Sometimes we have to remind the fans that this is a horror game,” Rosenthal admitted. The gameplay, as players discover in time, consists more in cooperation and guiding the league itself than in precision odds making. “This is not a game about individual success but collective success. The mechanics of the game reward organization, fans banding together with other fans of their team.”
Using those coins to buy votes to determine how the most idolized players are treated at the end of a season, for instance, could have huge repercussions on the next season. Ultimately the players are really participating in a sort of long-term alternative-reality game rather than a zany baseball sim, as the ominous announcements and events drive home now and again.
Next to the outcome of a match and the news that a player was walked to second base, you might learn that “Reality flickered in the Feedback” or see disembodied dialogue about the league or disordered cosmos.
It can be disconcerting and one may rightly wonder whether the creators have a narrative or goal in mind, or whether they’re just winging it and being weird for weirdness’s sake. I guessed the latter, but Rosenthal set me straight.
Image Credits: The Game Band
“It is going somewhere,” he assured me. “There are a lot of plans, we have a ton of lore written. We literally have a writers’ room every day, usually about 3-4 hours long. But we need to stay flexible because there’s two other creators: the simulation, since we don’t know what will happen in the games themselves, and the fans. There are things we don’t know they’ll latch onto, emergent narratives like the reincarnation of Jaylen Hotdogs. We’re always learning, and we give ourselves a lot of room to backtrack or change things quickly if needed.”
What was never clear even to the developers, however, was whether the game would live long enough to see those plans come to fruition. Blaseball, being a side project built during strange days, was never envisioned as a big money maker. For a small game developer to have a runaway success on their hands but little ability to monetize that success, the stresses of continuing development and support can overtake the benefits of popularity.
“Since we didn’t really set it up from the get-go to be profitable, we were just sort of slowly losing money,” said Rosenthal. “Fortunately our community has been really supportive through Patreon and sponsorships. But ultimately we wanted to make the game better and sustainable, and we wanted to pay our team what they deserve.”
Image Credits: The Game Band
The $3 million seed round keeps the lights on, to begin with, but also lets The Game Band staff up, so the writers don’t have to break up a meeting early because one of them is doubling as product support and the site is breaking. More importantly, however, the team plans to make a native mobile app. More than half of Blaseball‘s players (that is, the real ones, not Baby Triumphant and Wyatt Mason IV) are on mobile and Rosenthal admitted the mobile experience is “not great.”
The company comes from a mobile development background, he noted, so they know what they’re doing, but saw the web as the easiest platform to deploy on during the pandemic. Now they want to get mobile up and running, since the live, constantly shifting nature of the game fits well with the kind of updates sports and fantasy aficionados tend to sign up for. Who wouldn’t want to know right away that their favorite team has entered Party Time, or that their idolized player found a new piece of armor, or that a new non-physical law has been ratified?
Rosenthal said they resisted seeking funding to begin with due to a desire for independence, but was enthused about their choice of investor, Makers Fund, saying they actually understand Blaseball and have been partners rather than parents when it comes to moving the operation toward making money.
“They know we can’t just copy monetization from another game and put it in Blaseball, that would ruin the experience right away. They have an amazing network of people in the games industry, and at the end of the day they’re not prescriptive,” he said.
(They also gamely did not object to a line in the press release by the fictional Commissioner asserting that “Blaseball has acquired Makers Fund,” which says a lot.)
“We’re very cognizant that there are ways that free games can monetize that are detrimental to the community,” he continued. “So it will always be free to play and it will never be pay to win. Like, the Crabs are never going to run away with it because they’re the richest team. When we think about monetization we think about how it can benefit the community as a whole, not individuals.”
In the meantime the league slouches on, morphing from week to week in a live dialogue between players and developers. Don’t expect it go get any less weird, because the creators know that constant disorientation is part of the game’s charm.
Amazingly, Rosenthal even managed to suggest that Blaseball was, in the parlance of game design tropes, the Dark Souls of baseball simulators — “it [Dark Souls] gives you so little, it asks you to interpret and put a thesis together, to go linger on forums and talk with others about it. We wanted to create that kind of experience, and see how people would interpret this sort of weird, unknowable entity.”
They certainly got the weird and unknowable part right. You can try Blaseball out for yourself here.
(This story originally included the figure of $3.4 million for the round — this was an unforced error on my part and has been corrected to $3 million.)
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Artificial raises $21M led by Microsoft’s M12 for a lab automation platform aimed at life sciences R&D
Automation is extending into every aspect of how organizations get work done, and today comes news of a startup that is building tools for one industry in particular: life sciences. Artificial, which has built a software platform for laboratories to assist with, or in some cases fully automate, research and development work, has raised $21.5 million.
It plans to use the funding to continue building out its software and its capabilities, to hire more people, and for business development, according to Artificial’s CEO and co-founder David Fuller. The company already has a number of customers including Thermo Fisher and Beam Therapeutics using its software directly and in partnership for their own customers. Sold as aLab Suite, Artificial’s technology can both orchestrate and manage robotic machines that labs might be using to handle some work; and help assist scientists when they are carrying out the work themselves.
“The basic premise of what we’re trying to do is accelerate the rate of discovery in labs,” Fuller said in an interview. He believes the process of bringing in more AI into labs to improve how they work is long overdue. “We need to have a digital revolution to change the way that labs have been operating for the last 20 years.”
The Series A is being led by Microsoft’s venture fund M12 — a financial and strategic investor — with Playground Global and AME Cloud Ventures also participating. Playground Global, the VC firm co-founded by ex-Google exec and Android co-creator Andy Rubin (who is no longer with the firm), has been focusing on robotics and life sciences and it led Artificial’s first and only other round. Artificial is not disclosing its valuation with this round.
Fuller hails from a background in robotics, specifically industrial robots and automation. Before founding Artificial in 2019, he was at Kuka, the German robotics maker, for a number of years, culminating in the role of CTO; prior to that, Fuller spent 20 years at National Instruments, the instrumentation, test equipment and industrial software giant. Meanwhile, Artificial’s co-founder, Nikhita Singh, has insight into how to bring the advances of robotics into environments that are quite analogue in culture. She previously worked on human-robot interaction research at the MIT Media Lab, and before that spent years at Palantir and working on robotics at Berkeley.
As Fuller describes it, he saw an interesting gap (and opportunity) in the market to apply automation, which he had seen help advance work in industrial settings, to the world of life sciences, both to help scientists track what they are doing better, and help them carry out some of the more repetitive work that they have to do day in, day out.
This gap is perhaps more in the spotlight today than ever before, given the fact that we are in the middle of a global health pandemic. This has hindered a lot of labs from being able to operate full in-person teams, and increased the reliance on systems that can crunch numbers and carry out work without as many people present. And, of course, the need for that work (whether it’s related directly to Covid-19 or not) has perhaps never appeared as urgent as it does right now.
There have been a lot of advances in robotics — specifically around hardware like robotic arms — to manage some of the precision needed to carry out some work, but up to now no real efforts made at building platforms to bring all of the work done by that hardware together (or in the words of automation specialists, “orchestrate” that work and data); nor link up the data from those robot-led efforts, with the work that human scientists still carry out. Artificial estimates that some $10 billion is spent annually on lab informatics and automation software, yet data models to unify that work, and platforms to reach across it all, remain absent. That has, in effect, served as a barrier to labs modernising as much as they could.
A lab, as he describes it, is essentially composed of high-end instrumentation for analytics, alongside then robotic systems for liquid handling. “You can really think of a lab, frankly, as a kitchen,” he said, “and the primary operation in that lab is mixing liquids.”
But it is also not unlike a factory, too. As those liquids are mixed, a robotic system typically moves around pipettes, liquids, in and out of plates and mixes. “There’s a key aspect of material flow through the lab, and the material flow part of it is much more like classic robotics,” he said. In other words, there is, as he says, “a combination of bespoke scientific equipment that includes automation, and then classic material flow, which is much more standard robotics,” and is what makes the lab ripe as an applied environment for automation software.
To note: the idea is not to remove humans altogether, but to provide assistance so that they can do their jobs better. He points out that even the automotive industry, which has been automated for 50 years, still has about 6% of all work done by humans. If that is a watermark, it sounds like there is a lot of movement left in labs: Fuller estimates that some 60% of all work in the lab is done by humans. And part of the reason for that is simply because it’s just too complex to replace scientists — who he described as “artists” — altogether (for now at least).
“Our solution augments the human activity and automates the standard activity,” he said. “We view that as a central thesis that differentiates us from classic automation.”
There have been a number of other startups emerging that are applying some of the learnings of artificial intelligence and big data analytics for enterprises to the world of science. They include the likes of Turing, which is applying this to helping automate lab work for CPG companies; and Paige, which is focusing on AI to help better understand cancer and other pathology.
The Microsoft connection is one that could well play out in how Artificial’s platform develops going forward, not just in how data is perhaps handled in the cloud, but also on the ground, specifically with augmented reality.
“We see massive technical synergy,” Fuller said. “When you are in a lab you already have to wear glasses… and we think this has the earmarks of a long-term use case.”
Fuller mentioned that one area it’s looking at would involve equipping scientists and other technicians with Microsoft’s HoloLens to help direct them around the labs, and to make sure people are carrying out work consistently by comparing what is happening in the physical world to a “digital twin” of a lab containing data about supplies, where they are located, and what needs to happen next.
It’s this and all of the other areas that have yet to be brought into our very AI-led enterprise future that interested Microsoft.
“Biology labs today are light- to semi-automated—the same state they were in when I started my academic research and biopharmaceutical career over 20 years ago. Most labs operate more like test kitchens rather than factories,” said Dr. Kouki Harasaki, an investor at M12, in a statement. “Artificial’s aLab Suite is especially exciting to us because it is uniquely positioned to automate the masses: it’s accessible, low code, easy to use, highly configurable, and interoperable with common lab hardware and software. Most importantly, it enables Biopharma and SynBio labs to achieve the crowning glory of workflow automation: flexibility at scale.”
Harasaki is joining Peter Barratt, a founder and general partner at Playground Global, on Artificial’s board with this round.
“It’s become even more clear as we continue to battle the pandemic that we need to take a scalable, reproducible approach to running our labs, rather than the artisanal, error-prone methods we employ today,” Barrett said in a statement. “The aLab Suite that Artificial has pioneered will allow us to accelerate the breakthrough treatments of tomorrow and ensure our best and brightest scientists are working on challenging problems, not manual labor.”
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Bosta raises $6.7M to expand e-commerce delivery business across Africa and MENA
Per a recent report by Bain & Co., e-commerce is expected to grow to $28.5 billion in MENA by 2022 from a 2019 value of $8.3 billion. Egypt, one of the most active e-commerce countries in the region, is anticipated to grow 33% annually to reach $3 billion by 2022.
But for any e-commerce business to thrive, its last-mile delivery arm has to be well figured out. Bosta is one such company in Egypt helping small businesses with logistics and last-mile delivery. Today, the company is announcing it has closed a Series A investment of $6.7 million. U.S. and Middle East VC firm Silicon Badia led the round, with participation from 4DX Ventures, Plug and Play Ventures, Wealth Well VC, Khwarizmi VC, as well as other regional and global investors.
This investment comes a year after the company raised a $2.5 million round, which takes its total investment raised to $9.2 million.
Bosta was launched in 2017 by Mohamed Ezzat and Ahmed Gaber. The company offers next-day delivery to customers and handles exchange shipments, customer returns and cash collection.
The idea for Bosta came during Ezzat’s time at Lynks, his previous consumer goods startup. Lynks, the first YC-backed company from Egypt, allows people in Egypt to buy brands from the U.S., China and the U.K.
As co-founder and COO at Lynks, Ezzat was responsible for logistics, international clearance and last-mile delivery. In 2016, Egypt experienced an economic downturn coupled with the Egyptian pound devaluation and government restriction on imports. For Lynks it meant slow growth, but Ezzat was concerned about fixing the last-mile delivery bit, which, according to him, was a huge pain point.
“My nightmare was always the last mile. And at that time, you know that e-commerce is still very, very small. So it’s only 1% of the whole retail value,” he told TechCrunch. “So I was always thinking, how come if we want the e-commerce to grow, and we don’t have any strong company when it comes to last-mile because, in the end, every transaction on an e-commerce platform is a transaction on a courier platform.”
E-commerce is a fragmented sector where 80% of transactions come from small businesses selling on Facebook, Instagram and social media in general. Most of these businesses lack a strong delivery experience, and Ezzat left Lynks the following year to start Bosta.
Being in the parcel delivery industry, Bosta wants to help these companies to grow profitably. It also tries to simplify logistics and allow its customers to have full control over the delivery process.
“You can use Bosta to get anything to your doorstep. You buy in our local currency, and we buy everything, handle the shipping, customs, clearance and bring it to your doorstep,” the CEO added.
The company doesn’t own fleets of vehicles to carry out operations. Instead, it operates an Uber-like model where drivers sign up, are made contractors and make money when a delivery is completed.
Since 2017, the company has delivered more than 4 million packages to businesses, more than half since the pandemic outbreak last year. Bosta completes more than 300,000 deliveries per month, which is a 3.5x increase from when it raised its previous round, Ezzat stated. He also claims that more than 2,200 businesses use its platform daily and achieve a 95% delivery success rate.
Asides from small businesses, Bosta works with major e-commerce platforms like Souq (an Amazon company) and Jumia. Depending on the volume of goods transported, Bosta charges small businesses about 35-40 Egyptian pounds, while the big players are charged less, at 20-25 Egyptian pounds.
Speaking on the investment, Fawaz H Zu’bi said in a statement: “E-commerce has always had amazing potential in our region but was always being held back by something whether payments, logistics, market fragmentation, or customer adoption. We are excited to finally see companies like Bosta emerge to tackle some of these issues and help e-commerce realize its full promise and potential in a region that has now ‘turned on’ digitally.”
In the next two years, Bosta plans to deliver more than 15 million parcels in Egypt and serve over 20,000 businesses. The funds will be used for those causes, as well as expanding operations across Africa, MENA and the GCC.
“The investment is to dominate Egypt,” said Ezzat. “We want to make sure that we deliver the next day across Egypt, not just in Cairo, where we currently do. And to be a market leader when it comes to e-commerce on the continent and be profitable. This is the main target for us now and also to start operations in Saudi Arabia.”
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Should startups build or buy telehealth infrastructure?
Digital health in the U.S. got a huge boost from COVID-19 as more people started consulting physicians and urgent care providers remotely in the midst of lockdowns. So much so that McKinsey estimates that up to $250 billion of the current healthcare expenditure in the U.S. has the potential to be spent virtually. The prominence of digital health is undoubtedly here to stay, but how it looks and feels from provider to provider is still a debate among sector startups.
But for providers who want to deliver care virtually across the country, it’s not as simple as adding a Zoom invite to an annual check-up. The process requires intention every step of the way — right from the clinicians delivering remote care to the choice of payment processor.
Providers and healthcare startups can choose white-label solutions such as publicly-listed Teladoc and Truepill, which have been around for a long time, and have powered the operations of unicorns like Hims and Hers, Nurx, and GoodRx as they look to scale in a compliant but efficient manner.
Turnkey solutions might be tempting to companies looking to take advantage of this opportunity, but startups still have to decide what to outsource and what to build. Should you rely on others for staffing your practice? Do you build your own payment processing service in-house? Do you integrate with Zoom or build your own video-conferencing software? These questions are crucial to think about early on to prepare for future scale regardless of whether a startup is B2B or B2C.
More than just Zoom
SteadyMD, which in March raised a $25 million Series B led by Lux Capital, wants to be the infrastructure layer that makes it easier for other companies to offer telehealth services. It is hoping to address a pain point it ran into years earlier: The complexity of launching compliant telehealth services in all 50 states.
The company launched in 2016 with the intent to provide high-quality, virtual primary care for brick-and-mortar shops. Through that process, SteadyMD built a suite of tools to make it work with EMR integrations, doctor-patient communication channels, digital recruiting and forecasting software, and prescription referrals and operations. The burdensome process struck a chord with the co-founders and they pivoted the company to where it is today: an “AWS for healthcare”.
SteadyMD offers a suite of services to its customers, the least of which, says co-founder Guy Friedman, is its video-conferencing platform.
“It’s not about the technology capacities,” Friedman says. “The very large companies that have a lot of resources are using us to help them increase their capacity as workforce.”
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Want to double your rate of return? Seek counsel from experienced executives
Does it really take an average of seven to eight years for a successful startup to exit? What can early-stage founders do to accelerate outcomes?
We wanted to know if founding teams can execute faster with a higher degree of success if they’re able to take advantage of relevant executive expertise. After all, that’s the thesis we built our venture model around — we purposefully designed M13 so that early-stage founders get access to experienced executives they wouldn’t otherwise have the money to hire or the time to vet, onboard and manage.
Even if companies are doing everything right, they still reduce time to exit when they have multiple founders with prior relevant experience as a senior leader or operator.
We looked at years of data from hundreds of successful startups. As it turns out, the impact of relevant executive expertise is even greater than we had anticipated — to the tune of doubling the rate of return on a venture investment.
When it comes to measuring leadership experience, information about an individual executive’s experience — for example, how long they’ve been an exec — is publicly available. Unfortunately, there isn’t readily available structured data around a founding team’s seniority and how early the founders bring on people with more experience as an operator or leader.
To find out if leadership experience significantly impacts startups’ success, we analyzed nearly 800 executives at more than 200 companies that reached a sizable exit (greater than or equal to a $500 million valuation) via an IPO on a U.S. exchange or an exit via M&A from 2004-2019. About 70% of the companies in our dataset exited between 2016-2019, including notable IPOs like Spotify, Zoom, Uber and Peloton. We decided to exclude companies in the biotech/life sciences space because these companies follow a different growth trajectory than consumer tech and B2B tech and traditionally exit via IPO or M&A at a much earlier stage.
Here’s what our analysis of startups with successful exits revealed.
Of successful exits, the average actually is 7-8 years
While there are other intangible variables for startup success, the basic equation is the time and capital required to achieve an exit and the size of that exit.
Our dataset validates the widely accepted statement that successful exits take about seven to eight years:
Image Credits: M13
But could a variable like relevant leadership experience actually accelerate the time to exit? We wondered: Beyond time and capital, are there any factors — like experience as a leader or operator — that can have an exponential impact on the exit outcome? And when is the right time for those human capital resources to be introduced to make that impact?
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Amount raises $99M at a $1B+ valuation to help banks better compete with fintechs
Amount, a company that provides technology to banks and financial institutions, has raised $99 million in a Series D funding round at a valuation of just over $1 billion.
WestCap, a growth equity firm founded by ex-Airbnb and Blackstone CFO Laurence Tosi, led the round. Hanaco Ventures, Goldman Sachs, Invus Opportunities and Barclays Principal Investments also participated.
Notably, the investment comes just over five months after Amount raised $86 million in a Series C round led by Goldman Sachs Growth at a valuation of $686 million. (The original raise was $81 million, but Barclays Principal Investments invested $5 million as part of a second close of the Series C round). And that round came just three months after the Chicago-based startup quietly raised $58 million in a Series B round in March. The latest funding brings Amount’s total capital raised to $243 million since it spun off from Avant — an online lender that has raised over $600 million in equity — in January of 2020.
So, what kind of technology does Amount provide?
In simple terms, Amount’s mission is to help financial institutions “go digital in months — not years” and thus, better compete with fintech rivals. The company formed just before the pandemic hit. But as we have all seen, demand for the type of technology Amount has developed has only increased exponentially this year and last.
CEO Adam Hughes says Amount was spun out of Avant to provide enterprise software built specifically for the banking industry. It partners with banks and financial institutions to “rapidly digitize their financial infrastructure and compete in the retail lending and buy now, pay later sectors,” Hughes told TechCrunch.
Specifically, the 400-person company has built what it describes as “battle-tested” retail banking and point-of-sale technology that it claims accelerates digital transformation for financial institutions. The goal is to give those institutions a way to offer “a secure and seamless digital customer and merchant experience” that leverages Amount’s verification and analytics capabilities.
Image Credits: Amount
HSBC, TD Bank, Regions, Banco Popular and Avant (of course) are among the 10 banks that use Amount’s technology in an effort to simplify their transition to digital financial services. Recently, Barclays US Consumer Bank became one of the first major banks to offer installment point-of-sale options, giving merchants the ability to “white label” POS payments under their own brand (using Amount’s technology).
“The pandemic dramatically accelerated banks’ interest in further digitizing the retail lending experience and offering additional buy now, pay later financing options with the rise of e-commerce,” Hughes, former president and COO at Avant, told TechCrunch. “Banks are facing significant disruption risk from fintech competitors, so an Amount partnership can deliver a world-class digital experience with significant go-to-market advantages.”
Also, he points out, consumers’ digital expectations have changed as a result of the forced digital adoption during the pandemic, with bank branches and stores closing and more banking done and more goods and services being purchased online.
Amount delivers retail banking experiences via a variety of channels and a point-of-sale financing product suite, as well as features such as fraud prevention, verification, decisioning engines and account management.
Overall, Amount clients include financial institutions collectively managing nearly $2 trillion in U.S. assets and servicing more than 50 million U.S. customers, according to the company.
Hughes declined to provide any details regarding the company’s financials, saying only that Amount “performed well” as a standalone company in 2020 and that the company is expecting “significant” year-over-year revenue growth in 2021.
Amount plans to use its new capital to further accelerate R&D by investing in its technology and products. It also will be eyeing some acquisitions.
“We see a lot of interesting technology we could layer onto our platform to unlock new asset classes, and acquisition opportunities that would allow us to bring additional features to our platform,” Hughes told TechCrunch.
Avant itself made its first acquisition earlier this year when it picked up Zero Financial, news that TechCrunch covered here.
Kevin Marcus, partner at WestCap, said his firm invested in Amount based on the belief that banks and other financial institutions have “a point-in-time opportunity to democratize access to traditional financial products by accelerating modernization efforts.”
“Amount is the market leader in powering that change,” he said. “Through its best-in-class products, Amount enables financial institutions to enhance and elevate the banking experience for their end customers and maintain a key competitive advantage in the marketplace.”
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Industrial automation startup Bright Machines hauls in $435M by going public via SPAC
Bright Machines is going public via a SPAC-led combination, it announced this morning. The transaction will see the 3-year-old company merge with SCVX, raising gross cash proceeds of $435 million in the process.
After the transaction is consummated, the startup will sport an anticipated equity valuation of $1.6 billion.
The Bright Machines news indicates that the great SPAC chill was not a deep freeze. And the transaction itself, in conjunction with the previously announced Desktop Metal blank-check deal, implies that there is space in the market for hardware startup liquidity via SPACs. Perhaps that will unlock more late-stage capital for hardware-focused upstarts.
Today we’re first looking at what Bright Machines does, and then the financial details that it shared as part of its news.
What’s Bright Machines?
Bright Machines is trying to solve a hard problem related to industrial automation by creating microfactories. This involves a complex mix of hardware, software and artificial intelligence. While robotics has been around in one form or another since the 1970s, for the most part, it has lacked real intelligence. Bright Machines wants to change that.
The company emerged in 2018 with a $179 million Series A, a hefty amount of cash for a young startup, but the company has a bold vision and such a vision takes extensive funding. What it’s trying to do is completely transform manufacturing using machine learning.
At the time of that funding, the company brought in former Autodesk co-CEO Amar Hanspal as CEO and former Autodesk founder and CEO Carl Bass to sit on the company board of directors. AutoDesk itself has been trying to transform design and manufacturing in recent years, so it was logical to bring these two experienced leaders into the fold.
The startup’s thesis is that instead of having what are essentially “unintelligent” robots, it wants to add computer vision and a heavy dose of sensors to bring a data-driven automation approach to the factory floor.
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Ankorstore raises another $102 million for its wholesale marketplace
French startup Ankorstore has raised a $102 million Series B funding round (€84 million). Tiger Global and Bain Capital Ventures are leading today’s funding round with existing investors Index Ventures, GFC, Alven and Aglaé also participating. This is a significant funding round, as it comes just a few months after the company raised €25 million.
If you’re not familiar with Ankorstore, the company is building a wholesale marketplace for independent shop owners. You may have noticed some highly Instagrammable shops with a selection of random items, such as household supplies, maple syrup, candles, headbands, bath salts and stationery items.
Essentially, Ankorstore helps you source those items for shop owners. It lets you buy a ton of cutesy stuff and act as a curator for your customers. Even if you’re already working with brands directly, the startup offers some advantageous terms. In addition to buying from several brands at once, Ankorstore withdraws the money from your bank account 60 days after placing an order.
On the other side of the marketplace, brands get paid upon delivery. Even if you’re just getting started, the minimum first order is €100 per brand.
And metrics have been going up and to the right. There are now 5,000 brands on Ankorstore, and 50,000 shops are buying stuff through the platform. And the best is likely ahead, as stores begin to re-open across Europe and tourism picks up again.
Ankorstore is now live across 14 different markets. The majority of the company’s revenue comes from international markets — not its home market France. The company’s co-founder Nicolas Cohen mentions the U.K., Germany, the Netherlands and Sweden as growth markets.
The total addressable market is huge, as the company has identified 800,000 independent shops across Europe that could potentially work with Ankorstore. And the success of other wholesale marketplaces, such as Faire, proves that this relatively new market is still largely untapped.
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With $21M in funding, Code Ocean aims to help researchers replicate data-heavy science
Every branch of science is increasingly reliant on big data sets and analysis, which means a growing confusion of formats and platforms — more than inconvenient, this can hinder the process of peer review and replication of research. Code Ocean hopes to make it easier for scientists to collaborate by making a flexible, shareable format and platform for any and all data sets and methods, and it has raised a total of $21 million to build it out.
Certainly there’s an air of “Too many options? Try this one!” to this (and here’s the requisite relevant XKCD). But Code Ocean isn’t creating a competitor to successful tools like Jupyter or GitLab or Docker — it’s more of a small-scale container platform that lets you wrap up all the necessary components of your data and analysis in an easily shared format, whatever platform they live on natively.
The trouble appears when you need to share what you’re doing with another researcher, whether they’re on the bench next to you or at a university across the country. It’s important for replication purposes that data analysis — just like any other scientific technique — be done exactly the same way. But there’s no guarantee that your colleague will use the same structures, formats, notation, labels and so on.
That doesn’t mean it’s impossible to share your work, but it does add a lot of extra steps as would-be replicators or iterators check and double check that all the methods are the same, that the same versions of the same tools are being used in the same order, with the same settings, and so on. A tiny inconsistency can have major repercussions down the road.
Turns out this problem is similar in a way to how many cloud services are spun up. Software deployments can be as finicky as scientific experiments, and one solution to this is containers, which like tiny virtual machines include everything needed to accomplish a computing task, in a portable format compatible with many different setups. The idea is a natural one to transfer to the research world, where you can tie up all in one tidy package the data, the software used and the specific techniques and processes used to reach a given result. That, at least, is the pitch Code Ocean offers for its platform and “Compute Capsules.”
Image Credits: Code Ocean
Say you’re a microbiologist looking at the effectiveness of a promising compound on certain muscle cells. You’re working in R, writing in RStudio on an Ubuntu machine, and your data are such and such collected during an in vitro observation. While you would naturally declare all this when you publish, there’s no guarantee anyone has an Ubuntu laptop with a working RStudio setup around, so even if you provide all the code, it might be for nothing.
If, however, you put it on Code Ocean, like this, it makes all the relevant code available, and capable of being inspected and run unmodified with a click, or being fiddled with if a colleague is wondering about a certain piece. It works through a single link and web app, cross platform, and can even be embedded on a webpage like a document or video. (I’m going to try to do that below, but our backend is a little finicky. The capsule itself is here.)
More than that, though, the Compute Capsule can be repurposed by others with new data and modifications. Maybe the technique you put online is a general purpose RNA sequence analysis tool that works as long as you feed it properly formatted data, and that’s something others would have had to code from scratch in order to take advantage of some platforms.
Well, they can just clone your capsule, run it with their own data and get their own results in addition to verifying your own. This can be done via the Code Ocean website or just by downloading a zip file of the whole thing and getting it running on their own computer, if they happen to have a compatible setup. A few more example capsules can be found here.
Image Credits: Code Ocean
This sort of cross-pollination of research techniques is as old as science, but modern data-heavy experimentation often ends up siloed because it can’t easily be shared and verified even though the code is technically available. That means other researchers move on, build their own thing and further reinforce the silo system.
Right now there are about 2,000 public compute capsules on Code Ocean, most of which are associated with a published paper. Most have also been used by others, either to replicate or try something new, and some, like ultra-specific open source code libraries, have been used by thousands.
Naturally there are security concerns when working with proprietary or medically sensitive data, and the enterprise product allows the whole system to run on a private cloud platform. That way it would be more of an internal tool, and at major research institutions that in itself could be quite useful.
Code Ocean hopes that by being as inclusive as possible in terms of codebases, platforms, compute services and so on will make for a more collaborative environment at the cutting edge.
Clearly that ambition is shared by others, as the the company has raised $21 million so far, $6 million of which was in previously undisclosed investments and $15 million in an A round announced today. The A round was led by Battery Ventures, with Digitalis Ventures, EBSCO and Vaal Partners participating as well as numerous others.
The money will allow the company to further develop, scale and promote its platform. With luck they’ll soon find themselves among the rarefied air often breathed by this sort of savvy SaaS — necessary, deeply integrated and profitable.
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Merge raises $4.5M to help B2B companies build customer-facing integrations
Merge, a startup that helps its users build customer-facing integrations with third-party tools, today announced that it has raised a $4.5 million seed round led by NEA. Additional angel investors include former MuleSoft CEO Greg Schott, Cloudflare CEO Matthew Prince, Expanse co-founders Tim Junio and Matt Kraning, and Jumpstart CEO Ben Herman.
Launched in 2020, the core focus of Merge is to give B2B companies a unified API to access data from what is currently about 40 HR, payroll, recruiting and accounting platforms, with plans for expanding to additional areas soon. But Merge co-founders Shensi Ding and Gil Feig, who have been lifelong friends and previously worked at companies like Expanse and Jumpstart, stress that the service isn’t aiming to replace workflow tools Workato or Zapier.
Image Credits: Merge
“What we built is more similar to Plaid than MuleSoft or other things,” Feig said. “We built a unified API, so we’re fully embedded in a customer’s product and they build one integration with us and can automatically offer all these integrations to their customers. On top of that, we offer what we call integrations management, which is a suite of tools to automatically detect issues where the customer would have to get involved — automatically detect that stuff and handle it without ever having to involve engineering again.”
When Merge’s systems detect issues with an integration, maybe because a data schema in an API response has changed without notice (which happens with some regularity), Merge’s engineers can fix that within minutes, in part because the teams also built an internal no-code tool for building and managing these integrations.
Image Credits: Merge
As Ding also noted, B2B buyers today also simply expect their tools to feature integrations with the service they use. “Companies, when they purchase a vendor, they expect that vendor to have integrations with all the other vendors that they own,” she said. “They don’t want to have to purchase a vendor and then purchase a workflow product and then connect those products.”
And while Merge’s focus right now is squarely on a few verticals, the plan is to expand this to far more areas shortly, likely starting with CRM. “Salesforce has a pretty large market share, so we thought that it wasn’t going to be as interesting of a market,” Ding said. “But it turns out that their API is so complex that customers would still prefer to integrate with us instead if we simplify it for them.”
Ding and Feig tell me the company, which came out of stealth about two months ago, already has about 100 organizations on its platform, varying from seed-stage companies to publicly listed enterprises. The team credits its focus on security and reliability (and its SOC II compliance) with being able to bring on some of these larger companies despite being a seed-stage company itself.
To monetize the service, Merge offers a free tier (up to 10,000 API requests per month) and charges $0.01 per API request for additional usage. Unsurprisingly, the company also offers customized enterprise plans for its larger customers.
“The time and expense associated with building and maintaining myriad API integrations is a pain point we hear about consistently from our portfolio companies across all industries,” said NEA managing general partner Scott Sandell, who will join the company’s board. “Merge is tackling this ubiquitous problem head-on via their easy-to-use, unified API platform. Their platform has broad applicability and is a massive upgrade for any software company that needs to build, manage, and maintain multiple API integrations.”
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