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FOSSA scores $8.5 million Series A to help enterprise manage open-source licenses
As more enterprise developers make use of open source, it becomes increasingly important for companies to make sure that they are complying with licensing requirements. They also need to ensure the open-source bits are being updated over time for security purposes. That’s where FOSSA comes in, and today the company announced an $8.5 million Series A.
The round was led by Bain Capital Ventures, with help from Costanoa Ventures and Norwest Venture Partners. Today’s round brings the total raised to $11 million, according to the company.
Company founder and CEO Kevin Wang says that over the last 18 months, the startup has concentrated on building tools to help enterprises comply with their growing use of open source in a safe and legal way. He says that overall this increasing use of open source is great news for developers, and for these bigger companies in general. While it enables them to take advantage of all the innovation going on in the open-source community, they need to make sure they are in compliance.
“The enterprise is really early on this journey, and that’s where we come in. We provide a platform to help the enterprise manage open-source usage at scale,” Wang explained. That involves three main pieces. First it tracks all of the open-source and third-party code being used inside a company. Next, it enforces licensing and security policy, and, finally, it has a reporting component. “We automate the mass reporting and compliance for all of the housekeeping that comes from using open source at scale,” he said.
The enterprise focus is relatively new for the company. It originally launched in 2017 as a tool for developers to track individual use of open source inside their programs. Wang saw a huge opportunity inside the enterprise to apply this same kind of capability inside larger organizations, which were hungry for tools to help them comply with the myriad open-source licenses out there.
“We found that there was no tooling out there that can manage the scale and breadth across all the different enterprise use cases and all the really complex mission-critical code bases,” he said. What’s more, he found that where there were existing tools, they were vastly underutilized or didn’t provide broad enough coverage.
The company announced a $2.2 million seed round in 2017, and since then has grown from 10 to 40 employees. With today’s funding, that should increase as the company is expanding quickly. Wang reports that the startup has been tripling its revenue numbers and customer accounts year over year. The new money should help accelerate that growth and expand the product and markets it can sell into.
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Element AI raises $151M on a $600-700M valuation to help companies build and run AI solutions
While tech giants like Google and Amazon build and invest in a multitude of artificial intelligence applications to grow their businesses, a startup has raised a big round of funding to help those that are not technology businesses by nature also jump into the AI fray.
Element AI, the very well-funded, well-connected Canadian startup that has built an AI systems integrator of sorts to help other companies develop and implement artificial intelligence solutions — an “Accenture” for machine learning, neural network-based solutions, computer vision applications and so on — is today announcing a further 200 million Canadian dollars ($151.3 million) in funding, money that it plans to use to commercialise more of its products, as well as to continue working on R&D, specifically working on new AI solutions.
“Operationalising AI is currently the industry’s toughest challenge, and few companies have been successful at taking proofs-of-concept out of the lab, imbedding them strategically in their operations, and delivering actual business impact,” said Element AI CEO Jean-François (JF) Gagné in a statement. “We are proud to be working with our new partners, who understand this challenge well, and to leverage each other’s expertise in taking AI solutions to market.”
The company did not disclose its valuation in the short statement announcing the funding, nor has it ever talked about it publicly, but PitchBook notes that as of its previous funding round of $102 million back in 2017, it had a post-money valuation of $300 million, a figure a source close to the company confirmed to me. From what I understand, the valuation now is between $600 million and $700 million, a mark of how Element AI has grown, which is especially interesting, considering how quiet is has been.
The funding is being led by Caisse de dépôt et placement du Québec (CDPQ), along with participation from McKinsey & Company and its advanced analytics company QuantumBlack; and the Québec government. Previous investors DCVC (Data Collective), Hanwha Asset Management, BDC (Business Development Bank of Canada), Real Ventures and others also participated, with the total raised to date now at C$340 million ($257 million). Other strategic investors in the company have included Microsoft, Nvidia and Intel.
Element AI was started under an interesting premise that goes something like this: AI is the next major transformational shift — not just in computing, but in how businesses operate. But not every business is a technology business by DNA, and that creates a digital divide of sorts between the companies that can identify a problem that can be fixed by AI and build/invest in the technology to do that and those that cannot.
Element AI opened for business from the start as a kind of “AI shop” for the latter kinds of enterprises, to help them identify areas where they could build AI solutions to work better, and then build and implement those solutions. Today it offers products in insurance, financial services, manufacturing, logistics and retail — a list that is likely to get longer and deeper with this latest funding.
One catch about Element AI is that the company has not been very forthcoming about its customer list up to now — those that have been named as partners include Bank of Canada and Gore Mutual, but there is a very notable absence of case studies or reference customers on its site.
However, from what we understand, this is more a by-product of the companies (both Element AI and its customers) wishing to keep involvement quiet for competitive and other reasons; and in fact there are apparently a number of large enterprises that are building and deploying long-term products working with the startup. We have also been told big investors in this latest round (specifically McKinsey) are bringing in customers of their own by way of this deal, expanding that list. Total bookings are a “significant double digit million number” at the moment.
“With this transaction, we are investing capital and expertise alongside partners who are ideally suited to transform Element AI into a company with a commercial focus that anticipates and creates AI products to address clients’ needs,” said Charles Émond, EVP and head of Québec Investments and Global Strategic Planning at la Caisse, in a statement. CDPQ launched an AI Fund this year and this is coming out of that fund to help export more of the AI tech and IP that has been incubated and developed in the region. “Through this fund, la Caisse wants to actively contribute to build and strengthen Québec’s global presence in artificial intelligence.”
Management consultancies like McKinsey would be obvious competitors to Element AI, but in fact, they are turning out to be customer pipelines, as traditional system integrators also often lack the deeper expertise needed in newer areas of computing. (And that’s even considering that McKinsey itself has been investing in building its own capabilities, for example through its acquisition of the analytics firm QuantumBlack.
“For McKinsey, this investment is all about helping our clients to further unlock the potential of AI and Machine Learning to improve business performance,” said Patrick Lahaie, senior partner and Montreal managing partner for McKinsey & Company, in a statement. “We look forward to collaborating closely with the talented team at Element AI in Canada and globally in our shared objective to turn cutting-edge thinking and technology into AI assets which will transform a wide range of industries and sectors. This investment fits into McKinsey’s long-term AI strategy, including the 2015 acquisition of QuantumBlack, which has grown substantially since then and will spearhead the collaboration with Element AI on behalf of our Firm.”
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India’s OkCredit raises $67M to help small merchants digitize their bookkeeping
OkCredit, a Bangalore-based startup that enables small merchants to digitize their bookkeeping, has raised $67 million in a new financing round to grow its business in the nation.
The Series B financing round for the two-year-old startup was led by Lightspeed and Tiger Global. The new round, which follows the Series A in June, increases OkCredit’s total raise to $83 million.
OkCredit operates an eponymous mobile app that allows merchants to keep track of their day-to-day purchases and sales. Last month, OkCredit founders told TechCrunch in an interview that the app had amassed more than 5 million active merchants across 2,000 cities in India.
Amy Wu, a partner at Lightspeed US, said OkCredit’s active users have grown 76 times since the beginning of the year. It’s one of the fastest-growing companies we’ve seen and reflects the incredible virality and network effects of the business,” Wu added.
A wide range of merchants, from roadside vendors to grocery shop owners and pharmacies, have joined OkCredit.
Even as more than 500 million users in India today are online, most merchants in the nation are yet to digitize their business, according to industry estimates. They still rely on large notebooks to keep a log of their transactions.
“Technology has moved from collecting payments in cash, to using point-of-sale machines. More recently, QR codes, paper bills turned to printed bills. But the one thing that has not changed is the fact that most customers still purchase goods on credit recorded in a notebook,” Harsh Pokharna, chief executive of OkCredit said in a statement.
Pokharna told TechCrunch today that the startup will use the capital to hire more people and grow its merchant user base. The startup also plans to build more products for merchants.
Vyapar and KhataBook are two more startups in India that are attempting to solve a similar problem.
In a statement, Harsha Kumar, a partner at Lightspeed, said, “technology adoption in India will happen across sectors and segments. For the longest time, mSME as a segment was ignored but we have seen through Udaan, OkCredit and other Lightspeed investments in the SME space that tech usage is growing rapidly. Very excited and honored to have a front row seat in this journey!”
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Voyage raises $31 million to bring driverless taxis to communities
Voyage, the autonomous vehicle startup that spun out of Udacity, announced Thursday it has raised $31 million in a round led by Franklin Templeton.
Khosla Ventures, Jaguar Land Rover’s InMotion Ventures and Chevron Technology Ventures also participated in the round. The company, which operates a ride-hailing service in retirement communities using self-driving cars supported by human safety drivers, has raised a total of $52 million since launching in 2017. The new funding includes a $3 million convertible note.
Voyage CEO Oliver Cameron has big plans for the fresh injection of capital, including hiring and expanding its fleet of self-driving Chrysler Pacifica minivans, which always have a human safety driver behind the wheel.
Ultimately, the expanded G2 fleet and staff are just the means toward Cameron’s grander mission to turn Voyage into a truly driverless and profitable ride-hailing company.
“It’s not just about solving self-driving technology,” Cameron told TechCrunch in a recent interview, explaining that a cost-effective vehicle designed to be driverless is the essential piece required to make this a profitable business.
The company is in the midst of a hiring campaign that Cameron hopes will take its 55-person staff to more than 150 over the next year. Voyage has had some success attracting high-profile people to fill executive-level positions, including CTO Drew Gray, who previously worked at Uber ATG, Otto, Cruise and Tesla, as well as former NIO and Tesla employee Davide Bacchet as director of autonomy.
Funds will also be used to increase its fleet of second-generation self-driving cars (called G2) that are currently being used in a 4,000-resident retirement community in San Jose, Calif., as well as The Villages, a 40-square-mile, 125,000-resident retirement city in Florida. Voyage’s G2 fleet has 12 vehicles. Cameron didn’t provide details on how many vehicles it will add to its G2 fleet, only describing it as a “nice jump that will allow us to serve consumers.”
Voyage used the G2 vehicles to create a template of sorts for its eventual driverless vehicle. This driverless product — a term Cameron has used in a previous post on Medium — will initially be limited to 25 miles per hour, which is the driving speed within the two retirement communities in which Voyage currently tests and operates. The vehicle might operate at a low speed, but they are capable of handling complex traffic interactions, he wrote.
“It won’t be the most cost-effective vehicle ever made because the industry still is in its infancy, but it will be a huge, huge, huge improvement over our G2 vehicle in terms of being be able to scale out a commercial service and make money on each ride,” Cameron said.
Voyage initially used modified Ford Fusion vehicles to test its autonomous vehicle technology, then introduced in July 2018 Chrysler Pacifica minivans, its second generation of autonomous vehicles. But the end goal has always been a driverless product.
TechCrunch previously reported that the company has partnered with an automaker to provide this next-generation vehicle that has been designed specifically for autonomous driving. Cameron wouldn’t name the automaker. The vehicle will be electric and it won’t be a retrofit like the Chrysler Pacifica Hybrid vehicles Voyage currently uses or its first-generation vehicle, a Ford Fusion.
Most importantly, and a detail Cameron did share with TechCrunch, is that the vehicle it uses for its driverless service will have redundancies and safety-critical applications built into it.
Voyage also has deals in place with Enterprise rental cars and Intact insurance company to help it scale.
“You can imagine leasing is much more optimal than purchasing and owning vehicles on your balance sheet,” Cameron said. “We have those deals in place that will allow us to not only get the vehicle costs down, but other aspects of the vehicle into the right place as well.”
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Shape Security hits $1B valuation with $51M Series F
Anti-fraud startup Shape Security has tipped over the $1 billion valuation mark following its latest Series F round of $51 million.
The Mountain View, Calif.-based company announced the fundraise Thursday, bringing the total amount of outside investment to $183 million since the company debuted in 2011.
C5 Capital led the round, along with several other new and returning investors, including Kleiner Perkins, HPE Growth and Norwest Ventures Partners.
Shape Security protects companies against automated and imitation attacks, which often employ bots to break into networks using stolen or reused credentials. Shape uses artificial intelligence to discern bots from ordinary users by comparing known information such as a user’s location, and collected data, like mouse movements, to shut down attempted automated logins in real time.
The company said it now protects against two billion fraudulent logins daily.
C5 managing partner André Pienaar said he believes Shape will become the “definitive” anti-fraud platform for the world’s largest companies.
“While we expect a strong financial return, we also believe that we can bring Shape’s platform into many of the leading companies in Europe who look to us for strategic ideas that benefit the entire value-chain where B2C applications are used,” Pienaar told TechCrunch.
Shape’s chief executive Derek Smith said the $51 million injection will go toward the company’s international expansion and product development — particularly the capabilities of its AI system.
He added that Shape was preparing for an IPO.
Correction: A draft of the company’s funding news said Shape had raised $173 million to date. The company said this was a typo and has in fact raised $183 million.
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Sidewalk Labs spins out urban data-gathering tool Replica into a company
Replica, the data-gathering tool created within Sidewalk Labs that maps the movement of people in cities, is now a company.
The newly formed company, which is headed by Nick Bowden, also announced Thursday it has raised $11 million in a Series A funding round from investors Innovation Endeavors, Firebrand Ventures and Revolution’s Rise of the Rest Seed Fund. The capital will be used to accelerate Replica’s growth through new hires beyond its existing 13-person staff, expansion to new cities and investment in its technology.
Replica will remain connected to Sidewalk Labs, the smart city technology firm owned by Google’s parent company Alphabet. Both Sidewalk Labs and Innovation Endeavors will be on the company’s board.
Replica, which is headquartered in Kansas City, with an engineering office in San Francisco, plans to launch in several new regions. Replica is already working with Kansas City, Portland, Chicago and Sacramento, with more cities to come this year.
The Replica tool, which has drawn the ire of some privacy advocates, grew out of Model Lab, a project started two years ago to investigate modeling as a way to address urban problems. Early work focused on meeting with public agencies throughout the world to learn more about the data, processes and other tools they used.
The Replica planning tool was born out what they discovered: Public agencies don’t have all the information needed to understand the link and interdependence between transportation and land use. The upshot is an incomplete picture of how people move within cities, leaving public agencies ill-equipped to make decisions about how land is used and what transportation is needed and where, the company says.
“Answering questions like who uses the street, in which way and why, are critical for city planners as they work to make transit and land use more efficient and sustainable,” Bowden wrote. “But current resources available to city planners to analyze people’s travel in urban areas are less than satisfactory.”
The Replica modeling tool uses de-identified mobile location data to give public agencies a comprehensive portrait of how, when and why people travel. Movement models are matched to a synthetic population, which has been created using samples of census demographic data to create a broad new data set that is statistically representative of the actual population. The result, Bowden says, is a model that is both privacy-sensitive and extremely useful for public agencies.
Bowden tried to quell privacy worries Thursday in a blog post, emphasizing that the data has been “de-identified,” meaning that an individual’s location data would be identifiable. The company says it’s not interested in the movement of individuals. Instead, the modeling tool is used to see and understand patterns of movement.
“For this reason, we only start with data that has been de-identified,” Bowden wrote Thursday. “This data is then used to train a travel behavior model — basically, a set of rules to represent the movement in a particular place.”
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Patch Homes locks in $5M Series A to give homeowners financial freedom without debt
Home ownership has long been touted as the American dream. But rising rates of mortgage debt and student loan debt are making the pursuit of home ownership a nightmare. Debt-burdened individuals or those with inconsistent or tight cash flow can not only struggle to get credit loan approval when buying a home but also struggle to satisfy monthly mortgage payments even after purchase.
Patch Homes is hoping to keep the proverbial American dream alive. Patch looks to provide homeowners with cash flow and liquidity by allowing them to monetize their homes without taking on debt, interest or burdensome monthly payments.
Today, Patch took another big step in making its vision a far-reaching reality. The company has announced it has raised a $5 million Series A round led by Union Square Ventures (USV), with participation by from Tribe Capital and previous investors Techstars Ventures, Breega Capital and Greg Schroy.
Patch Home looks to partner with homeowners by investing up to $250,000 (with an average investment of ~$100,000) for an equity stake in the home’s value, generally in the 5% to 20% range. Homeowners aren’t subject to any interest or recurring payments and have 10 years to pay back Patch’s investment. Upon doing so, the only incremental money Patch receives is its portion of the change in the home’s value over the course of the 10-year period. If the value of the home goes down in value, Patch willingly takes a loss on its investment.
According to Patch Homes CEO and co-founder Sahil Gupta, one of the major motivations behind the company’s model is to align Patch’s incentives with the homeowners’, allowing both parties to think of each other as trusted partners even after financing. After Patch’s investment, the company provides a number of ancillary services to homeowners, such as credit score monitoring, as well as home value and property tax tracking.
In one instance recounted by Gupta in an interview with TechCrunch, Patch even covered three months of an owner’s mortgage during a liquidity crunch for his small business, allowing him to maintain his home and credit score. Patch is incentivized to provide all services that can help ensure an increase in home value, benefiting both Patch and the homeowner, with the homeowner earning the majority of the asset’s appreciated value.
Additionally, since Patch’s model isn’t focused on a homeowner’s ability to pay back a loan, interest or periodic payments, Patch is able to provide financing to more people. Patch is able to help those with more variable qualifications that struggle to get traditional loans — such as a 1099 contracted worker — monetize their illiquid assets with less harsh or restrictive terms and without increasing their debt burden. Gupta described this as solving the core problem of providing liquidity to asset-rich but cash-flow sensitive people.
Patch is not only looking to provide easier liquidity to more homeowners, but they’re trying to do so faster than traditional lenders. Interested customers can first receive a free estimate of whether Patch will invest in their home or not, how much it’s willing to invest and what percentage equity it will take — primarily based on Patch’s machine learning models that focus on asset, market and location-level attributes.
After the initial estimate, a Patch home advisor will educate the customer on the product and start a formal application process, which includes your standard income and credit score verification, which takes 5-10 days. All-in, homeowners have the ability to get money in as little as 14 days, a significantly shorter timeline than your standard home credit process. Once the investment is made, owners have full freedom with how they use the money.
According to Patch, while its customers come from a diverse set of backgrounds, many either with accumulated debt have to pay down the net or may struggle making monthly payments. The average Patch homeowner uses 40% of the investment to eliminate debt, adds 40% to their savings account or passive income and invests 20% into home improvements.
To date, Patch has raised a total of $6 million and believes the latest round of funding will help scale its operations as they team up with advisors like USV that have experience scaling fintech companies (such as a Lending Club or Carta). The funds will be used to invest in product and Patch’s clearing technology in order to further expedite Patch’s lending process.
Patch also hopes to use the investment to help them gradually expand their footprint, with the goal of eventually having a presence all 50 states. (Patch is currently available in 11 regional markets within California and Washington and expects to be in 18 regional markets by the end of the year including those in Utah, Colorado and Oregon.)
Image via Patch Homes
What makes home ownership so galvanizing for the Patch team? Patch CEO Sahil Gupta spent years putting his Carnegie Mellon financial engineering degree to work in banking and finance, as well as in financial products and strategy positions at fintech startups backed by heavy hitters such as YC and Goldman Sachs.
After realizing the majority of the U.S. population are homeowners, but were struggling to make monthly payments or save for the future, Sahil wanted to figure out to take an illiquid asset like a home and make it easily accessible.
Around the same time, Sahil’s co-founder Sundeep Ambati was working as a contractor on a new business venture of his and was struggling to get a home equity loan. While these circumstances ultimately led Sahil and Sundeep to found Patch Homes in 2016 out of the Techstars New York accelerator program, the deeper motivation behind Patch can be traced back nearly 30 years when Sahil’s father made an equity-sharing agreement with his brother as they were building his family’s home in India.
With a growing family and a pregnant wife, Sunil’s father was adamant about living debt-free, so his brother provided an investment in exchange for an equity stake in the house. According to Sahil, the home is still in the family and has appreciated substantially in value to the benefit of both Sahil’s father and his brother. Longer-term, Patch wants to be the preferred partner for home ownership, helping reduce cash-tight owners’ financial anxiety without the debilitating weight of debt.
“Some companies want to help people buy or sell homes, but home ownership really begins after that point. Patch is built to be inside the home with you and everything that comes thereafter,” Gupta told TechCrunch.
“Patch was created to partner with homeowners to help them unlock their home equity so they can achieve their financial goals along every step of their home ownership journey.
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Veo raises $6M Series A to bring its ‘AI camera’ for soccer matches to the US
Veo, a Copenhagen, Denmark-based startup that offers an “AI camera” to make it easier for amateur soccer clubs to video and stream matches, has raised $6 million in Series A funding.
Backing the round is U.S.-based CourtsideVC, France’s Ventech Capital and Danish firm VC Seed Capital. Veo says the new capital will be used to launch in the U.S.
Founded in 2015 by Henrik Teisbæk, Jesper Taxbøl and Keld Reinicke, Veo has set out to “democratise” the filming of soccer matches and training by negating the need for multiple camera operators and/or a vision mixer.
It does this by employing a 4K lens camera that records the entire pitch (it’s designed to be mounted on a 23-foot tripod for optimal view), coupled with its AI video technology that processes the resulting video. This sees Veo follow the action via virtual panning and zooming to create a TV-like viewing experience.
As we’ve noted before, that does mean a portion of the image will often be cropped out, resulting in a loss of resolution overall. However, the idea is that by starting with 4K, the video quality is more than sufficient for playback on smaller screens, such as smartphones and tablets.
“Our immediate goal is to establish a foothold for Veo on the U.S. market, and a lot of the investment will go towards achieving that,” Veo CEO Henrik Teisbæk tells TechCrunch with regards to the new funding round. “In the long term, we want to use our U.S. market presence as a stepping stone towards becoming a central player on the global football market, and to hopefully break into other sports.”
Teisbæk says the U.S. was chosen because it is one of the “biggest and most exciting” soccer markets, and North American soccer players, coaches, clubs and associations are very data-driven and open to new technology. “That represents a huge potential for us,” he adds.
Meanwhile, Veo says that in the last year it has seen 25,000 games recorded by 1,000 clubs in 50 countries. The company now employs 35 people in its Copenhagen HQ, where it develops the Veo software and hardware.
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Accel and Sequoia seed Middesk with $4M to background check businesses
For those of you that diligently follow the hot startups to graduate from Y Combinator’s accelerator program, you might recall Middesk.
The company was amongst an exclusive subset of startups in YC’s winter 2019 batch to walk into demo day term sheet in hand. Top VCs, like Accel and Sequoia Capital, couldn’t wait until the team’s public pitch was complete to seed the company.
Middesk performs background checks, but not of people; rather, the startup helps companies identify business and regulatory risk in their customer base. Today, it’s announcing its first round of capital, a $4 million financing led by Accel’s Rich Wong, with participation from Sequoia. Founded by two early employees of another YC graduate, Checkr, which automates the pre-employment background check process for companies, Middesk chief executive officer Kyle Mack and chief technology officer Kurt Ruppel wanted to apply their learnings to a business identity product.
“What we’ve built from the ground up is a product to help companies understand who their customers are and what those customers do for their business,” Mack explains.
Selling a product in a traditional and heavily regulated industry, Mack says having top-tier, established venture funds Accel and Sequoia on board has made a big difference for the company. This is particularly interesting, given the round comes at a time in which competition for early-stage deals is greater than ever. More and more billion-dollar funds are moving downstream to purchase stakes in promising companies as early as possible, beating out seed funds by providing better terms and brand recognition.
Accel was also an early investor in Checkr, which most recently raised a $100 million Series C at a $900 million valuation, and was familiar with the Middesk team prior to the company’s formation: “One of the nice things about this job is if you have a chance to do it right, you can build relationships with people and work with them across multiple companies,” Accel’s Wong tells TechCrunch.
San Francisco-based Middesk is working with customers, including Checkr and Plaid, a well-financed leader in fintech, as well as smaller entrants to the B2B market, like the even more recent YC-grad Vouch, which sells business insurance to startups. Mack says they are particularly focused on payments, lending, payroll, expenses and credit businesses, or those with regulatory risk requirements.
“Effectively anyone that’s touching money that’s a B2B business has regulatory requirements to do what we do,” Mack said. “There is a whole new wave of companies applying consumer-style experiences to business products, but the risks they deal with, they aren’t designed to manage those risks at scale.”
With the infusion of capital, Middesk has grown its team from two to seven, creating engineering and operations teams in the process. In the long term, Mack cites Plaid and its proven ability to rapidly become the go-to tool for connecting applications to consumer bank accounts, as inspiration.
“We talk about this idea of becoming a single source for all the external signals you might want to have about a business,” he said. “Plaid has built a single place to get a host of transaction data of people and businesses. We think about Middesk as a single place to find high-quality and trusted information for a single business.”
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Simbe raises a $26M Series A for its retail inventory robot
San Francisco-based robotics startup Simbe just announced a $26 million Series A. The round was led by Venrock and features Future Shape, Valo Ventures and Activant Capital. The company is one of several looking to automate the process of providing retail inventory.
Simbe says the funding will go toward growing its headcount, exploring new markets and accelerating the deployment of its existing robots. The news also finds Nest’s Tony Fadell, Venrock’s David Pakman and Pathbreaker Venture’s Ryan Gembala joining the startup’s board.
“Our investors, both previous and new, provide much more than financial support. They are advocates and trusted advisors who bring invaluable institutional knowledge to all facets of our business,” co-founder and CEO Brad Bogolea said in a release. “Both our equity financing partners and the SoftBank Robotics team are deeply aligned with Simbe’s vision to revitalize physical retail through data. We are at a pivotal time of growth and value their support as we continue to transform retail at a global scale.”
Simbe has been showcasing its inventory robot Tally since 2015. Soon after, Lemnos made an investment in the company. Earlier this year, U.S. supermarket chain Giant Eagle announced plans to begin a pilot program deploying Tally in select stores. That announcement came a week or so after Walmart announced its own plan to pilot robots from Pittsburgh-based competitor, Bossa Nova.
Other retailers using Simbe robots include Schnuck Markets, Decathlon Sporting Goods and Groupe Casino. Along with the Series A, SoftBank Robotics is also providing an inventory financing agreement to help scale manufacturing for the company.
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