artificial intelligence
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Mobius Labs nabs $6M to help more sectors tap into computer vision
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.”
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Box, Zoom chief product officers discuss how the changing workplace drove their latest collaboration
If the past 18 months is any indication, the nature of the workplace is changing. And while Box and Zoom already have integrations together, it makes sense for them to continue to work more closely.
Their newest collaboration is the Box app for Zoom, a new type of in-product integration that allows users to bring apps into a Zoom meeting to provide the full Box experience.
While in Zoom, users can securely and directly access Box to browse, preview and share files from Zoom — even if they are not taking part in an active meeting. This new feature follows a Zoom integration Box launched last year with its “Recommended Apps” section that enables access to Zoom from Box so that workflows aren’t disrupted.
The companies’ chief product officers, Diego Dugatkin with Box and Oded Gal with Zoom, discussed with TechCrunch why seamless partnerships like these are a solution for the changing workplace.
With digitization happening everywhere, an integration of “best-in-breed” products for collaboration is essential, Dugatkin said. Not only that, people don’t want to be moving from app to app, instead wanting to stay in one environment.
“It’s access to content while never having to leave the Zoom platform,” he added.
It’s also access to content and contacts in different situations. When everyone was in an office, meeting at a moment’s notice internally was not a challenge. Now, more people are understanding the value of flexibility, and both Gal and Dugatkin expect that spending some time at home and some time in the office will not change anytime soon.
As a result, across the spectrum of a company, there is an increasing need for allowing and even empowering people to work from anywhere, Dugatkin said. That then leads to a conversation about sharing documents in a secure way for companies, which this collaboration enables.
The new Box and Zoom integration enables meeting in a hybrid workplace: chat, video, audio, computers or mobile devices, and also being able to access content from all of those methods, Gal said.
“Companies need to be dynamic as people make the decision of how they want to work,” he added. “The digital world is providing that flexibility.”
This long-term partnership is just scratching the surface of the continuous improvement the companies have planned, Dugatkin said.
Dugatkin and Gal expect to continue offering seamless integration before, during and after meetings: utilizing Box’s cloud storage, while also offering the ability for offline communication between people so that they can keep the workflow going.
“As Diego said about digitization, we are seeing continuous collaboration enhanced with the communication aspect of meetings day in and day out,” Gal added. “Being able to connect between asynchronous and synchronous with Zoom is addressing the future of work and how it is shaping where we go in the future.”
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Explosion snags $6M on $120M valuation to expand machine learning platform
Explosion, a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. The round was led by SignalFire, and the company reported that today’s investment represents 5% of its value.
Oana Olteanu from SignalFire will be joining the board under the terms of the deal, which includes warrants of $12 million in additional investment at the same price.
“Fundamentally, Explosion is a software company and we build developer tools for AI and machine learning and natural language processing. So our goal is to make developers more productive and more focused on their natural language processing, so basically understanding large volumes of text, and training machine learning models to help with that and automate some processes,” company co-founder and CEO Ines Montani told me.
The company started in 2016 when Montani met her co-founder, Matthew Honnibal in Berlin where he was working on the spaCy open source machine learning library. Since then, that open source project has been downloaded over 40 million times.
In 2017, they added Prodigy, a commercial product for generating data for the machine learning model. “Machine learning is code plus data, so to really get the most out of the technologies you almost always want to train your models and build custom systems because what’s really most valuable are problems that are super specific to you and your business and what you’re trying to find out, and so we saw that the area of creating training data, training these machine learning models, was something that people didn’t pay very much attention to at all,” she said.
The next step is a product called Prodigy Teams, which is a big reason the company is taking on this investment. “Prodigy Teams is [a hosted service that] adds user management and collaboration features to Prodigy, and you can run it in the cloud without compromising on what people love most about Prodigy, which is the data privacy, so no data ever needs to get seen by our servers,” she said. They do this by letting the data sit on the customer’s private cluster in a private cloud, and then use Prodigy Team’s management features in the public cloud service.
Today, they have 500 companies using Prodigy including Microsoft and Bayer in addition to the huge community of millions of open source users. They’ve built all this with just six early employees, a number that has grown to 17 recently (they hope to reach 20 by year’s end).
She believes if you’re thinking too much about diversity in your hiring process, you probably have a problem already. “If you go into hiring and you’re thinking like, oh, how can I make sure that the way I’m hiring is diverse, I think that already shows that there’s maybe a problem,” she said.
“If you have a company, and it’s 50 dudes in their 20s, it’s not surprising that you might have problems attracting people who are not white dudes in their 20s. But in our case, our strategy is to hire good people and good people are often very diverse people, and again if you play by the [startup] playbook, you could be limited in a lot of other ways.”
She said that they have never seen themselves as a traditional startup following some conventional playbook. “We didn’t raise any investment money [until now]. We grew the team organically, and we focused on being profitable and independent [before we got outside investment],” she said.
But more than the money, Montani says that they needed to find an investor that would understand and support the open source side of the business, even while they got capital to expand all parts of the company. “Open source is a community of users, customers and employees. They are real people, and [they are not] pawns in [some] startup game, and it’s not a game. It’s real, and these are real people,” she said.
“They deserve more than just my eyeballs and grand promises. […] And so it’s very important that even if we’re selling a small stake in our company for some capital [to build our next] product [that open source remains at] the core of our company and that’s something we don’t want to compromise on,” Montani said.
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YouTravel.Me packs up $1M to match travelers with curated small group adventures
YouTravel.Me is the latest startup to grab some venture capital dollars as the travel industry gets back on its feet amid the global pandemic.
Over the past month, we’ve seen companies like Thatch raise $3 million for its platform aimed at travel creators, travel tech company Hopper bring in $175 million, Wheel the World grab $2 million for its disability-friendly vacation planner, Elude raise $2.1 million to bring spontaneous travel back to a hard-hit industry and Wanderlog bag $1.5 million for its free travel itinerary platform.
Today YouTravel.Me joins them after raising $1 million to continue developing its online platform designed for matching like-minded travelers to small-group adventures organized by travel experts. Starta VC led the round and was joined by Liqvest.com, Mission Gate and a group of individual investors like Bas Godska, general partner at Acrobator Ventures.
Olga Bortnikova, her husband Ivan Bortnikov and Ivan Mikheev founded the company in Europe three years ago. The idea for the company came to Bortnikova and Bortnikov when a trip to China went awry after a tour operator sold them a package where excursions turned out to be trips to souvenir shops. One delayed flight and other mishaps along the way, and the pair went looking for better travel experiences and a way to share them with others. When they couldn’t find what they were looking for, they decided to create it themselves.
“It’s hard for adults to make friends, but when you are on a two-week trip with just 15 people in a group, you form a deep connection, share the same language and experiences,” Bortnikova told TechCrunch. “That’s our secret sauce — we want to make a connection.”
Much like a dating app, the YouTravel.Me’s algorithms connect travelers to trips and getaways based on their interests, values and past experiences. Matched individuals can connect with each via chat or voice, work with a travel expert and complete their reservations. They also have a BeGuide offering for travel experts to do research and create itineraries.
Since 2018, CEO Bortnikova said that YouTravel.Me has become the top travel marketplace in Eastern Europe, amassing over 15,900 tours in 130 countries and attracting over 10,000 travelers and 4,200 travel experts to the platform. It was starting to branch out to international sales in 2020 when the global pandemic hit.
“Sales and tourism crashed down, and we didn’t know what to do,” she said. “We found that we have more than 4,000 travel experts on our site and they feel lonely because the pandemic was a test of the industry. We understood that and built a community and educational product for them on how to build and scale their business.”
After a McKinsey study showed that adventure travel was recovering faster than other sectors of the industry, the founders decided to go after that market, becoming part of 500 Startups at the end of 2020. As a result, YouTravel.Me doubled its revenue while still a bootstrapped company, but wanted to enter the North American market.
The new funding will be deployed into marketing in the U.S., hiring and attracting more travel experts, technology and product development and increasing gross merchandise value to $2.7 million per month by the end of 2021, Bortnikov said. The goal is to grow the number of trips to 20,000 and its travel experts to 6,000 by the beginning of next year.
Godska, also an angel investor, learned about YouTravel.Me from a mutual friend. It happened that it was the same time that he was vacationing in Sri Lanka where he was one of very few tourists. Godska was previously involved in online travel before as part of Orbitz in Europe and in Russia selling tour packages before setting up a venture capital fund.
“I was sitting there in the jungle with a bad internet connection, and it sparked my interest,” he said. “When I spoke with them, I felt the innovation and this bright vibe of how they are doing this. It instantly attracted me to help support them. The whole curated thing is a very interesting move. Independent travelers that want to travel in groups are not touched much by the traditional sector.”
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Pixalate tunes into $18.1M for fraud prevention in television, mobile advertising
Pixalate raised $18.1 million in growth capital for its fraud protection, privacy and compliance analytics platform that monitors connected television and mobile advertising.
Western Technology Investment and Javelin Venture Partners led the latest funding round, which brings Pixalate’s total funding to $22.7 million to date. This includes a $4.6 million Series A round raised back in 2014, Jalal Nasir, founder and CEO of Pixalate, told TechCrunch.
The company, with offices in Palo Alto and London, analyzes over 5 million apps across five app stores and more 2 billion IP addresses across 300 million connected television devices to detect and report fraudulent advertising activity for its customers. In fact, there are over 40 types of invalid traffic, Nasir said.
Nasir grew up going to livestock shows with his grandfather and learned how to spot defects in animals, and he has carried that kind of insight to Pixalate, which can detect the difference between real and fake users of content and if fraudulent ads are being stacked or hidden behind real advertising that zaps smartphone batteries or siphons internet usage and even ad revenue.
Digital advertising is big business. Nasir cited Association of National Advertisers research that estimated $200 billion will be spent globally in digital advertising this year. This is up from $10 billion a year prior to 2010. Meanwhile, estimated ad fraud will cost the industry $35 billion, he added.
“Advertisers are paying a premium to be in front of the right audience, based on consumption data,” Nasir said. “Unfortunately, that data may not be authorized by the user or it is being transmitted without their consent.”
While many of Pixalate’s competitors focus on first-party risks, the company is taking a third-party approach, mainly due to people spending so much time on their devices. Some of the insights the company has found include that 16% of Apple’s apps don’t have privacy policies in place, while that number is 22% in Google’s app store. More crime and more government regulations around privacy mean that advertisers are demanding more answers, he said.
The new funding will go toward adding more privacy and data features to its product, doubling the sales and customer teams and expanding its office in London, while also opening a new office in Singapore.
The company grew 1,200% in revenue since 2014 and is gathering over 2 terabytes of data per month. In addition to the five app stores Pixalate is already monitoring, Nasir intends to add some of the China-based stores like Tencent and Baidu.
Noah Doyle, managing director at Javelin Venture Partners, is also monitoring the digital advertising ecosystem and said with networks growing, every linkage point exposes a place in an app where bad actors can come in, which was inaccessible in the past, and advertisers need a way to protect that.
“Jalal and Amin (Bandeali) have insight from where the fraud could take place and created a unique way to solve this large problem,” Doyle added. “We were impressed by their insight and vision to create an analytical approach to capturing every data point in a series of transactions — more data than other players in the industry — for comprehensive visibility to help advertisers and marketers maintain quality in their advertising.”
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Goodcall picks up $4M, Yelp partnership to answer merchant inbound calls
Even without staffing shortages, local merchants have difficulty answering calls while all hands are busy, and Goodcall wants to alleviate some of that burden from America’s 30 million small businesses.
Goodcall’s free cloud-based conversational platform leverages artificial intelligence to manage incoming phone calls and boost customer service for businesses of all sizes. Former Google executive Bob Summers left Google back in January, where he was working on Area 120 — an internal incubator program for experimental projects — to start Goodcall after recognizing the call problem, noting that in fact 60% of the calls that come into merchants go unanswered.
“It’s frustrating for you and for the person calling,” Summers told TechCrunch. “Every missed call is a lost opportunity.”
Goodcall announced its launch Wednesday with $4 million in seed funding led by strategic investors Neo, Foothill Ventures, Merus Capital, Xoogler Ventures, Verissimo Ventures and VSC Ventures, as well as angel investors including Harry Hurst, founder and co-CEO of Pipe.com, and Zillow co-founder Spencer Rascoff.
Goodcall mobile agent. Image Credits: Goodcall
Restaurants, shops and merchants can set up on Goodcall in a matter of minutes and even establish a local phone number to free up an owner’s mobile number from becoming the business’ main line. The service is initially deployed in English and the company has plans to operate in Spanish, French and Hindi by 2022.
Merchants can choose from six different assistant voices and monitor the call logs and what the calls were about. Goodcall can also capture consumer sentiment, Summers said.
The company offers three options, including its freemium service for solopreneurs and business owners, which includes up to 500 minutes per month of Goodcall services for a single phone line. Up to five additional locations and five staff members costs $19 per month for the Pro level, or the Premium level provides unlimited locations and staff for $49 per month.
During the company’s beta period, Goodcall was processing several thousands of calls per month. The new funding will be used to continue to offer the free service, hire engineers and continue product development.
In addition to the funding round, Goodcall is unveiling a partnership with Yelp to tap into its database of local businesses so that those owners and managers can easily deploy Goodcall. Yelp data shows that more than 500,000 businesses opened during the pandemic. The company pulls in from Yelp a merchant’s open hours, location, if they offer Wi-Fi and even their COVID policy.
“We are partnering with Yelp, which has the best data on small businesses, and other large distribution channels to get our product to market,” Summers said. “We are bringing technology into an industry that hasn’t innovated since the 1980s and democratizing conversational AI for small businesses that are the main driver of job creation, and we want to help them grow.”
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PayEm comes out of stealth with $27M and its answer to the expense report
Itamar Jobani was a software developer working for a medical company and “hated that time of the month” when he had to use the company’s chosen reimbursement tool.
“It was full of friction and as part of the company’s wellness team, I felt an urge to take care of the employee experience and find a better tool,” Jobani told TechCrunch. “I looked for something, but didn’t find it, so I tried to build it myself.”
What resulted was PayEm, an Israeli company he founded with Omer Rimoch in 2019 to be a spend and procurement platform for high-growth and multinational organizations. Today, it announced $27 million in funding that includes $7 million in seed funding, led by Pitango First and NFX, with participation by LocalGlobe and Fresh Fund, as well as $20 million in Series A funding led by Glilot+.
The company’s technology automates the reimbursement, procurement, accounts payable and credit card workflows to manage all of the requests and invoices, while also creating bills and sending payments to over 200 territories in 130 currencies.
It gives company finance teams a real-time look at what items employees are asking for funds to buy, and what is actually being spent. For example, teams can submit a request and go through an approval flow that can be customized with purchasing codes tied to a description of the transaction. At the same time, all transactions are continuously reconciled versus having to spend hours at the end of the month going through paperwork.
“Organizations are running in a more democratized way with teams buying things on behalf of the organization,” Jobani said. “We built a platform to cater to those needs, so it’s like a disbursement platform instead of a finance team always being in charge.”
The global B2B payments market is valued at $120 trillion annually and is expected to reach $200 trillion by 2028, according to payment industry newsletter Nilson Report. PayEm is among many B2B payments startups attracting venture capital — for example, last month, Nium announced a $200 million in Series D funding at a $1 billion valuation. Paystand raised $50 million in Series C funding to make B2B payments cashless, while Dwolla raised $21 million for its API that allows companies to build and facilitate fast payments.
Meanwhile, PayEm itself saw accelerated growth in the second quarter of 2021, including increasing its transaction volume by four times over the previous quarter and generating millions of dollars in revenue. It now boasts a list of hundreds of customers like Fiverr, JFrog and Next Insurance. It also launched new features like the ability to create corporate cards.
The company, which also has an office in New York, has 40 employees currently, and the new funds will enable the company to triple its headcount, focusing on hiring in the United States, and to bring additional features and payment capabilities to market.
“Each person can have a budget and a time frame for making the purchase, while accounting still feels in control,” Jobani added. “Everyone now has the full context and the right budget line item.”
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Sanas aims to convert one accent to another in real time for smoother customer service calls
In the customer service industry, your accent dictates many aspects of your job. It shouldn’t be the case that there’s a “better” or “worse” accent, but in today’s global economy (though who knows about tomorrow’s) it’s valuable to sound American or British. While many undergo accent neutralization training, Sanas is a startup with another approach (and a $5.5M seed round): using speech recognition and synthesis to change the speaker’s accent in near real time.
The company has trained a machine learning algorithm to quickly and locally (that is, without using the cloud) recognize a person’s speech on one end and, on the other, output the same words with an accent chosen from a list or automatically detected from the other person’s speech.
Image Credits: Sanas.ai
It slots right into the OS’s sound stack so it works out of the box with pretty much any audio or video calling tool. Right now the company is operating a pilot program with thousands of people in locations from the USA and UK to the Philippines, India, Latin America, and others. Accents supported will include American, Spanish, British, Indian, Filipino and Australian by the end of the year.
To tell the truth, the idea of Sanas kind of bothered me at first. It felt like a concession to bigoted people who consider their accent superior and think others below them. Tech will fix it… by accommodating the bigots. Great!
But while I still have a little bit of that feeling, I can see there’s more to it than this. Fundamentally speaking, it is easier to understand someone when they speak in an accent similar to your own. But customer service and tech support is a huge industry and one primarily performed by people outside the countries where the customers are. This basic disconnect can be remedied in a way that puts the onus of responsibility on the entry-level worker, or one that puts it on technology. Either way the difficulty of making oneself understood remains and must be addressed — an automated system just lets it be done more easily and allows more people to do their job.
It’s not magic — as you can tell in this clip, the character and cadence of the person’s voice is only partly retained and the result is considerably more artificial sounding:
But the technology is improving and like any speech engine, the more it’s used, the better it gets. And for someone not used to the original speaker’s accent, the American-accented version may very well be more easily understood. For the person in the support role, this likely means better outcomes for their calls — everyone wins. Sanas told me that the pilots are just starting so there are no numbers available from this deployment yet, but testing has suggested a considerable reduction of error rates and increase in call efficiency.
It’s good enough at any rate to attract a $5.5M seed round, with participation from Human Capital, General Catalyst, Quiet Capital, and DN Capital.
“Sanas is striving to make communication easy and free from friction, so people can speak confidently and understand each other, wherever they are and whoever they are trying to communicate with,” CEO Maxim Serebryakov said in the press release announcing the funding. It’s hard to disagree with that mission.
While the cultural and ethical questions of accents and power differentials are unlikely to ever go away, Sanas is trying something new that may be a powerful tool for the many people who must communicate professionally and find their speech patterns are an obstacle to that. It’s an approach worth exploring and discussing even if in a perfect world we would simply understand one another better.
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Olsam raises $165M to buy up and scale consumer and B2B Amazon Marketplace sellers
On the heels of Heroes announcing a $200 million raise earlier today, to double down on buying and scaling third-party Amazon Marketplace sellers, another startup out of London aiming to do the same is announcing some significant funding of its own. Olsam, a roll-up play that is buying up both consumer and B2B merchants selling on Amazon by way of Amazon’s FBA fulfillment program, has closed $165 million — a combination of equity and debt that it will be using to fuel its M&A strategy, as well as continue building out its tech platform and to hire more talent.
Apeiron Investment Group — an investment firm started by German entrepreneur Christian Angermayer — led the Series A equity round, with Elevat3 Capital (another Angermayer firm that has a strategic partnership with Founders Fund and Peter Thiel) also participating. North Wall Capital was behind the debt portion of the deal. We have asked and Olsam is only disclosing the full amount raised, not the amount that was raised in equity versus debt. Valuation is also not being disclosed.
Being an Amazon roll-up startup from London that happens to be announcing a fundraise today is not the only thing that Olsam has in common with Heroes. Like Heroes, Olsam is also founded by brothers.
Sam Horbye previously spent years working at Amazon, including building and managing the company’s business marketplace (the B2B version of the consumer marketplace); while co-founder Ollie Horbye had years of experience in strategic consulting and financial services.
Between them, they also built and sold previous marketplace businesses, and they believe that this collective experience gives Olsam — a portmanteau of their names, “Ollie” and “Sam” — a leg up when it comes to building relationships with merchants; identifying quality products (versus the vast seas of search results that often feel like they are selling the same inexpensive junk as each other); and understanding merchants’ challenges and opportunities, and building relationships with Amazon and understanding how the merchant ecosystem fits into the e-commerce giant’s wider strategy.
Olsam is also taking a slightly different approach when it comes to target companies, by focusing not just on the usual consumer play, but also on merchants selling to businesses. B2B selling is currently one of the fastest-growing segments in Amazon’s Marketplace, and it is also one of the more overlooked by consumers. “It’s flying under the radar,” Ollie said.
“The B2B opportunity is very exciting,” Sam added. “A growing number of merchants are selling office supplies or more random products to the B2B customer.”
Estimates vary when it comes to how many merchants there are selling on Amazon’s Marketplace globally, ranging anywhere from 6 million to nearly 10 million. Altogether those merchants generated $300 million in sales (gross merchandise value), and it’s growing by 50% each year at the moment.
And consolidating sellers — in order to achieve better economies of scale around supply chains, marketing tools and analytics, and more — is also big business. Olsam estimates that some $7 billion has been spent cumulatively on acquiring these businesses, and there are more out there: Olsam estimates there are some 3,000 businesses in the U.K. alone making more than $1 million each in sales on Amazon’s platform.
(And to be clear, there are a number of other roll-up startups beyond Heroes also eyeing up that opportunity. Raising hundreds of millions of dollars in aggregate, others that have made moves this year include Suma Brands [$150 million], Elevate Brands [$250 million], Perch [$775 million], factory14 [$200 million], Thrasio [currently probably the biggest of them all in terms of reach and money raised and ambitions], Heyday, The Razor Group, Branded, SellerX, Berlin Brands Group [X2], Benitago, Latin America’s Valoreo and Rainforest and Una Brands out of Asia.)
“The senior team behind Olsam is what makes this business truly unique,” said Angermayer in a statement. “Having all been successful in building and selling their own brands within the market and having worked for Amazon in their marketplace team – their understanding of this space is exceptional.”
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Databricks raises $1.6B at $38B valuation as it blasts past $600M ARR
Databricks this morning confirmed earlier reports that it was raising new capital at a higher valuation. The data- and AI-focused company has secured a $1.6 billion round at a $38 billion valuation, it said. Bloomberg first reported last week that Databricks was pursuing new capital at that price.
The Series H was led by Counterpoint Global, a Morgan Stanley fund. Other new investors included Baillie Gifford, UC Investments and ClearBridge. A grip of prior investors also kicked in cash to the round.
The new funding brings Databricks’ total private funding raised to $3.5 billion. Notably, its latest raise comes just seven months after the late-stage startup raised $1 billion on a $28 billion valuation. Its new valuation represents paper value creation in excess of $1 billion per month.
The company, which makes open source and commercial products for processing structured and unstructured data in one location, views its market as a new technology category. Databricks calls the technology a data “lakehouse,” a mashup of data lake and data warehouse.
Databricks CEO and co-founder Ali Ghodsi believes that its new capital will help his company secure market leadership.
For context, since the 1980s, large companies have stored massive amounts of structured data in data warehouses. More recently, companies like Snowflake and Databricks have provided a similar solution for unstructured data called a data lake.
In Ghodsi’s view, combining structured and unstructured data in a single place with the ability for customers to execute data science and business-intelligence work without moving the underlying data is a critical change in the larger data market.
“[Data lakehouses are] a new category, and we think there’s going to be lots of vendors in this data category. So it’s a land grab. We want to quickly race to build it and complete the picture,” he said in an interview with TechCrunch.
Ghodsi also pointed out that he is going up against well-capitalized competitors and that he wants the funds to compete hard with them.
“And you know, it’s not like we’re up against some tiny startups that are getting seed funding to build this. It’s all kinds of [large, established] vendors,” he said. That includes Snowflake, Amazon, Google and others who want to secure a piece of the new market category that Databricks sees emerging.
The company’s performance indicates that it’s onto something.
Growth
Databricks has reached the $600 million annual recurring revenue (ARR) milestone, it disclosed as part of its funding announcement. It closed 2020 at $425 million ARR, to better illustrate how quickly it is growing at scale.
Per the company, its new ARR figure represents 75% growth, measured on a year-over-year basis.
That’s quick for a company of its size; per the Bessemer Cloud Index, top-quartile public software companies are growing at around 44% year over year. Those companies are worth around 22x their forward revenues.
At its new valuation, Databricks is worth 63x its current ARR. So Databricks isn’t cheap, but at its current pace should be able to grow to a size that makes its most recent private valuation easily tenable when it does go public, provided that it doesn’t set a new, higher bar for its future performance by raising again before going public.
Ghodsi declined to share timing around a possible IPO, and it isn’t clear whether the company will pursue a traditional IPO or if it will continue to raise private funds so that it can direct list when it chooses to float. Regardless, Databricks is now sufficiently valuable that it can only exit to one of a handful of mega-cap technology giants or go public.
Why hasn’t the company gone public? Ghodsi is enjoying a rare position in the startup market: He has access to unlimited capital. Databricks had to open another $100 million in its latest round, which was originally set to close at just $1.5 billion. It doesn’t lack for investor interest, allowing its CEO to bring aboard the sort of shareholder he wants for his company’s post-IPO life — while enjoying limited dilution.
This also enables him to hire aggressively, possibly buy some smaller companies to fill in holes in Databricks’ product roadmap, and grow outside of the glare of Wall Street expectations from a position of capital advantage. It’s the startup equivalent of having one’s cake and eating it too.
But staying private longer isn’t without risks. If the larger market for software companies was rapidly devalued, Databricks could find itself too expensive to go public at its final private valuation. However, given the long bull market that we’ve seen in recent years for software shares, and the confidence Ghodsi has in his potential market, that doesn’t seem likely.
There’s still much about Databricks’ financial position that we don’t yet know — its gross margin profile, for example. TechCrunch is also incredibly curious what all its fundraising and ensuing spending have done to near-term Databricks operating cash flow results, as well as how long its gross-margin adjusted CAC payback has evolved since the onset of COVID-19. If we ever get an S-1, we might find out.
For now, winsome private markets are giving Ghodsi and crew space to operate an effectively public company without the annoyances that come with actually being public. Want the same thing for your company? Easy: Just reach $600 million ARR while growing 75% year over year.
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