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Digital elective care and telemedicine provider Ro raises $200 million at a reported $1.5 billion valuation
In three years Zachariah Reitano’s startup, Ro, has managed to hit a reported $1.5 billion valuation for its transformation from a company focused on treating erectile dysfunction to a telemedicine service for a range of elective and urgent care-focused treatments.
Through Rory for women’s health, Roman for men’s health and Zero for smoking cessation, Reitano and fellow co-founders Saman Rahmanian, and Rob Schutz, built a company that now treats 20 conditions, including sexual health, weight loss, dermatology, allergies and more, according to a statement from the company.
Image Credit: Zero
Ro also has a new pharmacy business, Ro Pharmacy, which is an online cash pay pharmacy offering more than 500 generic medications for just $5 per month per drug. And the company is getting into the weight loss business through a partnership with the private equity-backed healthcare company, Gelesis.
Ro’s also becoming a gateway into patient acquisition for primary care providers through Ribbon Health, and a test-case for the use of Pfizer’s Greenstone service, which provides certification that a generic drug is validated by one of the major pharmaceuticals.
The company’s $1.5 billion valuation is courtesy of a new $200 million investment from existing investors led by General Catalyst and including FirstMark Capital, Torch, SignalFire, TQ Ventures, Initialized Capital, 3L and BoxGroup. New first-time investor The Chernin Group also participated. In all, Ro has raised $376 million since it launched in 2017.
“This new investment will further our mission to become every patient’s first call. We’ll continue to invest in our vertically-integrated healthcare ecosystem, from our Collaborative Care Center to our national pharmacy operating system. This is just the beginning of Ro’s patient-centered healthcare platform.”
It’s all part of the company’s mission to provide a point of entry into the healthcare system independent of insurance qualifications.
“Telehealth companies like Ro are using technology to address long-standing healthcare disparities that have been exacerbated by COVID-19,” said Dr. Joycelyn Elders, MD, Ro Medical Advisor and Former U.S. Surgeon General. “By empowering providers to leverage their skills as efficiently and effectively as possible, Ro delivers affordable, high-quality care regardless of a patient’s location, insurance status, or physical access to physicians and pharmacies.”
Ro’s new financing is one of several forays by tech investors into reshaping the healthcare system at a time when patient care has been severely disrupted by attempts to mitigate the spread of COVID-19.
Digital medicine is assuming a central position in the healthcare world, with most consultations now occurring online. Reimbursement schemes for telemedicine have changed dramatically and investors see an opportunity to capitalize on these changes by aggressively backing the expansion plans of companies looking to bring digital healthcare directly to consumers.
That’s one of the reasons why Ro’s major competitor, Hims, is reported to be seeking access to public markets through its sale to a special purpose acquisition company for roughly $1 billion, according to Reuters.
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Autonomous drone startup Skydio raises $100 million and launches the X2 commercial drone
Skydio has raised a $100 million Series C funding round, which was led by Next47 and includes participation from other new investors Levitate Capital and NTT DOCOMO Ventures, as well as existing investors a16z, IVP and Playground. This new funding will help the drone maker move faster on its product development efforts, and expand its go-to-market strategy to cover not only consumer applications, but also enterprise and public sector drone technology, the company says. To serve the market, Skydio also launched the X2 family of drone hardware today, which is designed for commercial use.
Founded in 2014, Skydio has raised $170 million total and launched two consumer-focused drones to date, both of which employ artificial intelligence technology to give them autonomous navigation capabilities. This means their drones can actively track objects and people, while simultaneously avoiding potential collisions with objects, including trees, power lines and other obstacles. The end result is video that looks like it was recorded by a professional film crew in a helicopter, but available to the general consumer market in a sub-$1,000 price point.
The first Skydio drone, the R1, was launched in 2018, and retailed for $2,499. Its intelligence and tracking capabilities were impressive, and were later improved via software updates and the second-generation hardware, which launched last year and is currently available for order.
Skydio’s new X2 drone platform is designed for enterprise use, and will ship in Q4 of this year, according to the company. It includes an onboard 360-degree superzoom camera, a FLIR 320×256 resolution thermal imaging camera, a battery life of 35 minutes of flying time and a maximum range of 6.2 miles. There’s also a Skydio Enterprise Controller for the drone, which has a touchscreen, hardware controls and a protective hood to block glare.
The move from consumer to enterprise makes a lot of sense for Skydio; the same collision avoidance features and easy piloting for which the company has received praise in the consumer world are very applicable in enterprise use. The company says that its close-proximity avoidance tech, which allows for very tight tolerances in flight, make it a great candidate for doing things like remote infrastructure and equipment inspection, where having a person do those would be dangerous or impossible.
X2 can also capture 180-degree images directly above itself, which makes it uniquely capable of inspecting bridge spans and other overhead construction from a different perspective than is offered by many rotor-drones like this one. And the infrared coverage means it can operate day and night, and provide heat-maps of targets.
Skydio will still serve the consumer market as well, but this progression throughout its brief history is likely a very attractive one for investors: The company went from an expensive, but highly capable, consumer product accessible only to a few individuals, to a much more accessibly priced but still high-tech offering, and now appears to be turning the economies it has realized in its tech to the potentially much more lucrative enterprise hardware and software arena.
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Vendia raises $5.1M for its multicloud serverless platform
When the inventor of AWS Lambda, Tim Wagner, and the former head of blockchain at AWS, Shruthi Rao, co-found a startup, it’s probably worth paying attention. Vendia, as the new venture is called, combines the best of serverless and blockchain to help build a truly multicloud serverless platform for better data and code sharing.
Today, the Vendia team announced that it has raised a $5.1 million seed funding round, led by Neotribe’s Swaroop ‘Kittu’ Kolluri. Correlation Ventures, WestWave Capital, HWVP, Firebolt Ventures, Floodgate and FuturePerfect Ventures also participated in this oversubscribed round.
Image Credits: Vendia
Seeing Wagner at the helm of a blockchain-centric startup isn’t exactly a surprise. After building Lambda at AWS, he spent some time as VP of engineering at Coinbase, where he left about a year ago to build Vendia.
“One day, Coinbase approached me and said, ‘Hey, maybe we could do for the financial system what you’ve been doing over there for the cloud system,’” he told me. “And so I got interested in that. We had some conversations. I ended up going to Coinbase and spent a little over a year there as the VP of Engineering, helping them to set the stage for some of that platform work and tripling the size of the team.” He noted that Coinbase may be one of the few companies where distributed ledgers are actually mission-critical to their business, yet even Coinbase had a hard time scaling its Ethereum fleet, for example, and there was no cloud-based service available to help it do so.
Tim Wagner, Vendia co-founder and CEO. Image Credits: Vendia
“The thing that came to me as I was working there was why don’t we bring these two things together? Nobody’s thinking about how would you build a distributed ledger or blockchain as if it were a cloud service, with all the things that we’ve learned over the course of the last 10 years building out the public cloud and learning how to do it at scale,” he said.
Wagner then joined forces with Rao, who spent a lot of time in her role at AWS talking to blockchain customers. One thing she noticed was that while it makes a lot of sense to use blockchain to establish trust in a public setting, that’s really not an issue for enterprise.
“After the 500th customer, it started to make sense,” she said. “These customers had made quite a bit of investment in IoT and edge devices. They were gathering massive amounts of data. They also made investments on the other side, with AI and ML and analytics. And they said, ‘Well, there’s a lot of data and I want to push all of this data through these intelligent systems. I need a mechanism to get this data.’” But the majority of that data often comes from third-party services. At the same time, most blockchain proof of concepts weren’t moving into any real production usage because the process was often far too complex, especially enterprises that maybe wanted to connect their systems to those of their partners.
Shruthi Rao, Vendia co-founder and CBO. Image Credits: Vendia
“We are asking these partners to spin up Kubernetes clusters and install blockchain nodes. Why is that? That’s because for blockchain to bring trust into a system to ensure trust, you have to own your own data. And to own your own data, you need your own node. So we’re solving fundamentally the wrong problem,” she explained.
The first product Vendia is bringing to market is Vendia Share, a way for businesses to share data with partners (and across clouds) in real-time, all without giving up control over that data. As Wagner noted, businesses often want to share large data sets but they also want to ensure they can control who has access to that data. For those users, Vendia is essentially a virtual data lake with provenance tracking and tamper-proofing built in.
The company, which mostly raised this round after the coronavirus pandemic took hold in the U.S., is already working with a couple of design partners in multiple industries to test out its ideas, and plans to use the new funding to expand its engineering team to build out its tools.
“At Neotribe Ventures, we invest in breakthrough technologies that stretch the imagination and partner with companies that have category creation potential built upon a deep-tech platform,” said Neotribe founder and managing director Kolluri. “When we heard the Vendia story, it was a no-brainer for us. The size of the market for multiparty, multicloud data and code aggregation is enormous and only grows larger as companies capture every last bit of data. Vendia’s serverless-based technology offers benefits such as ease of experimentation, no operational heavy lifting and a pay-as-you-go pricing model, making it both very consumable and highly disruptive. Given both Tim and Shruthi’s backgrounds, we know we’ve found an ideal ‘Founder fit’ to solve this problem! We are very excited to be the lead investors and be a part of their journey.”
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IoT solutions are enabling physical distancing
Tyler Cracraft
Contributor
Contributor
Tyler Cracraft is an electronic engineer turned solution architect at Advantech who has more than a decade of experience working in the electronics technology industry.
If you’re a business owner or investor and are wondering about the long-term impacts of the COVID-19 pandemic on the business world, you’re not alone.
Today’s business leaders have been plunged into the deep end of telecommuting with little notice, and the way we do business has been impacted at almost every level. Travel is restricted, meetings are virtual and delivery of goods and even raw materials is being delayed. While some industries that depend on large gatherings are seeing extremely difficult challenges due to the pandemic, others such as the tech industry, see the opportunity and responsibility for innovation and growth.
As many states begin phased reopening, companies are trying to determine what the workplace and business environment will look like in a post-quarantine world. The first obvious step is the integration of personal protective equipment (PPE). Sanitization and face masks will become required and nonessential face-to-face meetings will be a thing of the past, along with shaking hands.
Additionally, relationship-driven careers such as sales and recruiting will have to find new ways to connect to be successful. Physical distancing rules will have to be established, which may include employees coming in alternate days while telecommuting the other days of the week to keep offices at reduced capacity. Large offices of 10 or more may implement thermographic camera technology for fever screening or other real-time technology-based health screenings.
One thing is for sure: IoT devices that enable physical distancing will become an integral part of reopening businesses, facilitating sales connections and embracing a different way of living.
Solutions for physical distancing
There are a variety of IoT devices available that can help business leaders successfully implement physical distancing in their offices. Thermographic camera technology coupled with facial recognition can create a baseline for each employee and then assist in determining if an employee has a temperature outside of their norm. Other remote health monitoring may also take place with healthcare providers, helping employees determine on a daily basis if they are well enough to go into work.
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Hims & Hers launch Spanish language telemedicine services
Hims & Hers, the startup focused on providing access to elective treatments for things like hair loss, skin care and erectile disfunction and online telemedicine services, is expanding its services to include a Spanish language option, the company said.
After Mexico, the U.S. has the second-largest Spanish speaking population in the world, with an estimated 41 million U.S. residents speaking Spanish at home. The population also prefers to receive healthcare information and frequent facilities that offer resources in Spanish.
Now, with a shortage looming in primary care physicians for rural areas and inner cities and a sky-high rate of Hispanics living without any form of healthcare coverage (roughly 15.1%, according to data provided by the company), Hims & Hers is pitching its telemedicine offering as an option.
“Language, cost, and location should not be barriers to receiving quality care, which is why we are launching a Spanish offering on our telemedicine platform,” the company said in a statement.
The company’s $39 primary care consultations at its Hims and its Hers websites will be in Spanish. That will include everything from communications like the patient intake form and instructions to prepare for an online consultation along with a connection to Spanish-speaking healthcare provider.
“The reason we created Hims & Hers was to break down barriers and provide more people with access to quality and convenient care,” the company’s co-founder and chief executive, Andrew Dudum, said in a statement. “As a telemedicine company, we recognize the need and understand the importance of serving the Spanish-speaking population. We hope those seeking access to care in Spanish find our platform to be a welcoming, inclusive, quality experience.”
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Directly, which taps experts to train chatbots, raises $11M, closes out Series B at $51M
Directly, a startup whose mission is to help build better customer service chatbots by using experts in specific areas to train them, has raised more funding as it opens up a new front to grow its business: APIs and a partner ecosystem that can now also tap into its expert network. Today Directly is announcing that it has added $11 million to close out its Series B at $51 million (it raised $20 million back in January of this year, and another $20 million as part of the Series B back in 2018).
The funding is coming from Triangle Peak Partners and Toba Capital, while its previous investors in the round included strategic backers Samsung NEXT and Microsoft’s M12 Ventures (who are both customers, alongside companies like Airbnb), as well as Industry Ventures, True Ventures, Costanoa Ventures and Northgate. (As we reported when covering the initial close, Directly’s valuation at that time was at $110 million post-money, and so this would likely put it at $120 million or higher, given how the business has expanded.)
While chatbots have now been around for years, a key focus in the tech world has been how to help them work better, after initial efforts saw so many disappointing results that it was fair to ask whether they were even worth the trouble.
Directly’s premise is that the most important part of getting a chatbot to work well is to make sure that it’s trained correctly, and its approach to that is very practical: find experts both to troubleshoot questions and provide answers.
As we’ve described before, its platform helps businesses identify and reach out to “experts” in the business or product in question, collect knowledge from them, and then fold that into a company’s AI to help train it and answer questions more accurately. It also looks at data input and output into those AI systems to figure out what is working, and what is not, and how to fix that, too.
The information is typically collected by way of question-and-answer sessions. Directly compensates experts both for submitting information as well as to pay out royalties when their knowledge has been put to use, “just as you would in traditional copyright licensing in music,” its co-founder Antony Brydon explained to me earlier this year.
It can take as little as 100 experts, but potentially many more, to train a system, depending on how much the information needs to be updated over time. (Directly’s work for Xbox, for example, used 1,000 experts but has to date answered millions of questions.)
Directly’s pitch to customers is that building a better chatbot can help deflect more questions from actual live agents (and subsequently cut operational costs for a business). It claims that customer contacts can be reduced by up to 80%, with customer satisfaction by up to 20%, as a result.
What’s interesting is that now Directly sees an opportunity in expanding that expert ecosystem to a wider group of partners, some of which might have previously been seen as competitors. (Not unlike Amazon’s AI powering a multitude of other businesses, some of which might also be in the market of selling the same services that Amazon does).
The partner ecosystem, as Directly calls it, use APIs to link into Directly’s platform. Meya, Percept.ai, and SmartAction — which themselves provide a range of customer service automation tools — are three of the first users.
“The team at Directly have quickly proven to be trusted and invaluable partners,” said Erik Kalviainen, CEO at Meya, in a statement. “As a result of our collaboration, Meya is now able to take advantage of a whole new set of capabilities that will enable us to deliver automated solutions both faster and with higher resolution rates, without customers needing to deploy significant internal resources. That’s a powerful advantage at a time when scale and efficiency are key to any successful customer support operation.”
The prospect of a bigger business funnel beyond even what Directly was pulling in itself is likely what attracted the most recent investment.
“Directly has established itself as a true leader in helping customers thrive during these turbulent economic times,” said Tyler Peterson, Partner at Triangle Peak Partners, in a statement. “There is little doubt that automation will play a tremendous role in the future of customer support, but Directly is realizing that potential today. Their platform enables businesses to strike just the right balance between automation and human support, helping them adopt AI-powered solutions in a way that is practical, accessible, and demonstrably effective.”
In January, Mike de la Cruz, who took over as CEO at the time of the funding announcement, said the company was gearing up for a larger Series C in 2021. It’s not clear how and if that will be impacted by the current state of the world. But in the meantime, as more organizations are looking for ways to connect with customers outside of channels that might require people to physically visit stores, or for employees to sit in call centres, it presents a huge opportunity for companies like this one.
“At its core, our business is about helping customer support leaders resolve customer issues with the right mix of automation and human support,” said de la Cruz in a statement. “It’s one thing to deliver a great product today, but we’re committed to ensuring that our customers have the solutions they need over the long term. That means constantly investing in our platform and expanding our capabilities, so that we can keep up with the rapid pace of technological change and an unpredictable economic landscape. These new partnerships and this latest expansion of our recent funding round have positioned us to do just that. We’re excited to be collaborating with our new partners, and very thankful to all of our investors for their support.”
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Identity management startup Truework raises $30M to help you verify your work history
As organizations look for safe and efficient ways of running their services in the new global paradigm of increased social distancing, a startup that has built a platform to help people verify their work details in a secure way is announcing a round of growth funding.
Truework, which provides a way for banks, apartment-rental agencies, and others to check the employment details of an applicant in a quick and secure manner online, has raised $30 million, money that CEO and co-founder Ryan Sandler said in an interview that it would use both grow its existing business, as well to explore adding more details — both via its own service and via third-party partnerships — to the identity information that it shares.
The Series B is being led by Activant Capital — a VC that focuses on B2B2C startups — with participation also from Sequoia Capital and Khosla Ventures, as well as a number of high profile execs and entrepreneurs — Jeff Weiner (LinkedIn); Tom Gonser (Docusign); William Hockey (Plaid); and Daniel Yanisse (Checkr) among them.
The LinkedIn connection is an interesting one. Both Sandler and co-founder Victor Kabdebon were engineers at LinkedIn working on profile and improving the kind of data that LinkedIn sources on its users (the third co-founder, Ethan Winchell, previously worked elsewhere), and while Sandler tells me that the idea for Truework came to them after both left the company, he sees LinkedIn “as a potential partner here,” so watch this space.
The problem that Truework is aiming to solve is the very clunky, and often insecure, nature of how organizations typically verify an individual’s employment information. Details about salary and where you work, and the job you do, are typically essential for larger financial transactions, whether it’s securing a mortgage or another financing loan, or renting an apartment, or for others who might need to verify that information for other purposes, such as staffing agencies.
Typically that kind of information gathering is time-consuming both to reach out to get and to confirm (Sandler cites statistics that say on average an HR person spends over 1,000 hours annually answering questions like these). And some of the systems that have been put in place to do that work — specifically consumer reporting agencies — have been proven not be as watertight in their security as you would hope.
“Your data is flowing around lots of third party platforms,” Sandler said. “You’re releasing a lot of information about yourself and you don’t know where the data is going and if it’s even accurate.”
Truework’s solution is based around a platform, and now an API, that a company buys into. In turn, it gives its employees the ability to consent to using it. If the employee agrees, Truework sources a worker’s place of employment and salary details. Then when a third party wants to verify that information for the person in question, it uses Truework to do so, rather than contacting the company directly.
Then, when those queries come in, Truework contacts the individual with an email or text about the inquiry, so that he/she can okay (or reject) the request. Truework’s Sandler said that it uses ISO27001, SOC2 Type 1 & 2 protections, but he also confirmed that it does store your data.
Currently the idea is that if you leave your job, your next employer would need to also be a Truework customer in order to update the information it has on you: the startup makes money by charging both larger enterprises to make the platform accessible to employees as well as those organizations that are querying for the information/verifications (small business employers using the platform can use it for free).
Over time, the plan will be to configure a way to update your profiles regardless of where you work.
So far, the concept has seen a lot of traction: there are 20,000 small businesses using the platform, as well as 100 enterprises, with the number of verifiers (its term for those requesting information) now at 40,000. Customers include The College Board, The Real Real, Oscar Health, The Motley Fool, and Tuft & Needle.
While all of this was built at a time before COVID-19, the global health pandemic has highlighted the importance of having more efficient and secure systems for doing work, especially at a time when many people are not in the office.
“Our biggest competitor is the fax machine and the phone call,” Sandler said, “but as companies move to more remote working, no one is manning the phones or fax machines. But these operations still need to happen.” Indeed, he points out that at the end of 2019, Truework had 25,000 verifiers. Nearly doubling its end-user customers speaks to the huge boost in business it has seen in the last five months.
That is part of the reason the company has attracted the investment it has.
“Truework’s platform sits at the center of consumers’ most important transactions and life events – from purchasing a home, to securing a new job,” said Steve Sarracino, founder and partner at Activant Capital, in a statement. “Up until now, the identity verification process has been painful, expensive, and opaque for all parties involved, something we’ve seen first-hand in the mortgage space. Starting with income and employment, Truework is setting the standard for consent-based verifications and unlocking the next wave of the digital economy. We’re thrilled to be partnering with this exceptional team as they continue to scale the platform.” Sarracino is joining the board with this round.
While a big focus in the world of tech right now may be on building more and better ways of connecting goods and services to people in as contact-free a way as possible, the bigger play around identity management has been around for years, and will continue to be a huge part of how the internet develops in the future.
The fax and phone may be the primary tools these days for verifying employment information, but on a more general level, there are companies like Facebook, Google and Apple already playing a big role in how we “log in” and use all kinds of services online. They, along with others focused squarely on the identity and verification space (and Truework works with some of them), and using a myriad of approaches that include biometrics, ‘wallet’-style passports that link to information elsewhere, and more, will all continue to try to make the case for why they might be the most trusted provider of that layer of information, at a time when we may want to share less and especially share less with multiple parties.
That is the bigger opportunity that investors are betting on here.
“The increasing momentum Truework has seen since its founding in 2017 demonstrates the critical need for transformation in this space,” said Alfred Lin, partner at Sequoia, in a statement. “Privacy, especially around identity data, is becoming increasingly top of mind for consumers and how they make transactions online.”
Truework has now raised close to $45 million, and it’s not disclosing its valuation.
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Microsoft launches Project Bonsai, its new machine teaching service for building autonomous systems
At its Build developer conference, Microsoft today announced that Project Bonsai, its new machine teaching service, is now in public preview.
If that name sounds familiar, it’s probably because you remember that Microsoft acquired Bonsai, a company that focuses on machine teaching, back in 2018. Bonsai combined simulation tools with different machine learning techniques to build a general-purpose deep reinforcement learning platform, with a focus on industrial control systems.
It’s maybe no surprise then that Project Bonsai, too, has a similar focus on helping businesses teach and manage their autonomous machines. “With Project Bonsai, subject-matter experts can add state-of-the-art intelligence to their most dynamic physical systems and processes without needing a background in AI,” the company notes in its press materials.
“The public preview of Project Bonsai builds on top of the Bonsai acquisition and the autonomous systems private preview announcements made at Build and Ignite of last year,” a Microsoft spokesperson told me.
Interestingly, Microsoft notes that project Bonsai is only the first block of a larger vision to help its customers build these autonomous systems. The company also stresses the advantages of machine teaching over other machine learning approaches, especially the fact that it’s less of a black box approach than other methods, which makes it easier for developers and engineers to debug systems that don’t work as expected.
In addition to Bonsai, Microsoft also today announced Project Moab, an open-source balancing robot that is meant to help engineers and developers learn the basics of how to build a real-world control system. The idea here is to teach the robot to keep a ball balanced on top of a platform that is held by three arms.
Potential users will be able to either 3D-print the robot themselves or buy one when it goes on sale later this year. There is also a simulation, developed by MathWorks, that developers can try out immediately.
“You can very quickly take it into areas where doing it in traditional ways would not be easy, such as balancing an egg instead,” said Mark Hammond, Microsoft general manager for Autonomous Systems. “The point of the Project Moab system is to provide that playground where engineers tackling various problems can learn how to use the tooling and simulation models. Once they understand the concepts, they can apply it to their novel use case.”
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Microsoft’s new ‘Planetary Computer’ project will use global environmental data to support sustainability
Microsoft is embarking on a new sustainability initiative as part of its overall approach to support environmental protection measures, with a project it calls the “Planetary Computer.” This will actually be a computing endeavor that uses aggregated global environmental data collected from a number of sources as its input, and that will seek to employ machine learning and other techniques to better understand the challenges faced in planetary health, and provide answers to both Microsoft clients and scientists about how to plan for sustainability.
If all that sounds pretty esoteric to you, you’re not alone. But in a blog post, Microsoft president Brad Smith detailed some specific examples of what it hopes the Planetary Computer will actually be capable of doing. Those include things like providing searchable satellite imagery, machine learning and user-sourced data around actual on-the-ground forest borders for use in industrial construction site surveys or forest preservation efforts; providing accurate current measurement sand impact forecast for water use for agricultural planning; providing wildlife biologists with global species habitat information to support preservation efforts; and more.
This is an evolution of Microsoft’s AI for Earth program, which was launched in 2017, and the actual development of the Planetary Computer will involve further investments in infrastructure, as well as participation from the existing AI for Earth grant recipients to built out analyses on the data collected. There’s also a new AI for Earth grant, valued at $1 million, provided to the Group on Earth Observations Biodiversity Observation Network to help act as a cornerstone for biodiversity data collection as part of the project.
To help, Microsoft is also partnering with Esri, a geographical mapping and information company that underpins a lot of the related technological institutes in that sphere. Geospatial data sets will be made available through Azure and Esri later this year for use by clients and institutions, and you can expect even more to come.
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Labster’s latest partnership, and what it tells us about the future of remote learning
Labster, a virtual science lab edtech company, today announced that it is partnering with California’s community college network to bring its software to 2.1 million students.
California Community Colleges claims to be the largest system of higher education in the country. The Labster partnership will provide 115 schools with 130 virtual laboratory simulations in biology, chemistry, physics and general sciences.
As COVID-19 has forced schools to shutter, edtech companies have largely responded by offering their software for free or through extended free trials. What’s new and notable about Labster’s partnership today is that it shows the first few signs of how that momentum can lead to a business deal.
Based in Copenhagen, Labster sells virtual STEM labs to institutions. The startup has raised $34.7 million in known venture capital to date, according to Crunchbase data. Labster customers include California State University, Harvard, Gwinnett Technical College, MIT, Trinity College and Stanford.
Lab equipment is expensive, and budget constraints mean that schools struggle to afford the latest technology. So Labster’s value proposition is that it is a cheaper alternative (plus, if students spill a testing vial in a virtual lab, there’s less clean up).
That pitch has slightly changed since COVID-19 forced schools across the world to shut down to limit the spread of the pandemic. Now, it’s pitching itself as the only currently viable alternative to science labs.
For many edtech companies, the surge of remote learning has been a large experiment. Often, edtech companies are giving away their product and technology for free to help as schools scramble to move operations completely digital.
For example, last week self-serve learning platforms Codecademy, Duolingo, Quizlet, Skillshare and Brainly launched a Learn From Home Club for students and teachers. Before that, Wize made its exam content and homework services available for free. And Zoom offered its video-conferencing software for free to K through 12 schools, which had mixed results.
Labster itself gave $5 million in free Labster credits to schools across the country. The list continues.
Labster’s new deal shows edtech companies can secure new customers right now — without breaking the bank.
Labster CEO and co-founder Michael Bodekaer declined to give specifics on what the deal is worth. He did share that Labster works with schools one by one to understand how much they can, or want to, invest in teacher training and webinar support. He also confirmed that Labster does profit from the deal.
“We want to make sure that we set ourselves up for supporting our partners but still also make sure that Labster as a financial institution can pay our salaries,” Bodekaer said. “But again, heavy discounts that help us cover our costs.”
The long game for Labster, like many edtech companies, is that schools like the platform so much that these short-term stints have a better chance to lead to long-term relationships.
“We’ll be keeping these discounts as long as we possibly can sustain as a company,” he said. “It looks like initially the discount was until August and now we’re extending it until the end of the year. If that continues, we may extend it even further.”
Pricing aside, the real struggle toward implementation for Labster, and honestly any other edtech company focused on remote learning, is the digital divide. Some students do not have access to a computer for video conferencing or even internet connection for assignments.
The COVID-19 pandemic has highlighted how many households across America lack access to the technology needed for remote learning. In California, Google donated free Chromebooks and 100,000 mobile hotspots to students in need.
Bodekaer said that Labster is currently working on providing its software on mobile, and has worked with Google to make sure its product works on low-end computers like Chromebooks.
“We really want to be hardware agnostic and support any system or any platform that the students already have,” he said. “So that hardware does not become a barrier.”
While today’s partnership brings 2.1 million students access to Labster’s technology, it does not directly account for the percentage of that same group that might not have access to a computer in the first place. The true test, and perhaps success, of edtech will rely on a true hybrid of hardware and software, not one or the other.
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