SoftBank Vision Fund 2
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Sendoso nabs $100M as its corporate gifting platform passes 20,000 customers
Corporate gift services have come into their own during the COVID-19 pandemic by standing in as a proxy for other kinds of relationship-building activities — office meetings, lunches and hosting at events — that have traditionally been part and parcel of how people do business, but were no longer feasible during lockdowns, social distancing and offices closing their doors.
Now, Sendoso — a popular “end-to-end” gifting platform offering access to 30,000 products, including corporate swag, regular physical gifts, gift cards and more; and then providing services like logistics, packing and sending to get those gifts to the recipients — is announcing $100 million of funding to capitalize on this shift, led by a big new investor.
New backer SoftBank, via its Vision Fund 2, is leading this latest Series C round of funding. Oak HC/FT, Struck Capital, Stage 2 Capital, Craft Ventures, Signia Venture Partners and Felicis Ventures — all previous investors — are also participating.
The company has been on a strong growth trajectory for years now, but it specifically saw a surge of activity as the pandemic kicked off. It now has more than 20,000 businesses signed up and using its services, particularly for sales and marketing outreach, but also to help shore up morale among employees.
“Everyone was stuck at home by themselves, saturated with emails,” said Kris Rudeegraap, the CEO of Sendoso, in an interview. “Having a personal connection to sales prospects, employees and others just meant more.” It has now racked up some 3 million gifts sent since launching in 2016.
Sendoso is not disclosing its valuation, but Rudeegraap hinted that it was four times higher than the startup’s Series B valuation from 2020. PitchBook estimates that to be $160 million, which would make the current valuation $640 million. The company has now raised more than $150 million.
Rudeegraap said Sendoso will be using the funds in part to invest in a couple of areas. First, to hire more talent: It has 500 employees now and plans to grow that by 30% by the end of this year. And second, international expansion: It is setting up a European HQ in Dublin, Ireland to complement its main office in San Francisco.
Comcast, Kimpton Hotels, Thomson Reuters, Nasdaq and eBay are among its current customers — so this is in part to serve those customers’ global user bases, as well as to sign up new gifters. He estimated that the bigger market for corporate gifting is about $100 billion annually, so there is a lot to play for here.
The company was co-founded by Rudeegraap and Braydan Young (who is its chief alliances officer) on the back of a specific need Rudeegraap identified while working as a sales executive. Gifting is a very standard practice in the world of sales and marketing, but he was finding a lot of traction with potential and current customers by taking a personalized approach to this act.
“I was manually packing boxes, grabbing swag, coming up with handwritten notes,” he recalled. “It was inefficient, but it worked so well. So I dreamed up an idea: why not be able to click a button in Salesforce to do this automatically? Sometimes the best company is one that solves a pain point of your own.”
And this is essentially what Sendoso does. The startup’s platform integrates with a company’s existing marketing, sales and management software — Salesforce, HubSpot, SalesLoft among them — and then lets users use this to organize and order gifts through these channels, for example as part of larger sales, marketing or HR strategies. The gifts are wide-ranging, covering corporate swag, other physical presents, gift cards and more, and there are also integrations you can include to share gifting across teams of salespeople, to analyze the campaigns and more.
The Sendoso platform itself, meanwhile, positions itself as having the “marketplace selection and logistics precision of Amazon.com.” But Sendoso also believes it’s better than someone simply using Amazon.com itself since it ultimately takes a more personalized approach in how it presents the gift.
“There are a lot of things we do uniquely in terms of what we have built throughout our software, gifting options and logistics centre. We really personalize our gifts at scale with handwritten notes, special boxing, and more,” something that Amazon cannot do, he added. “We have built a lot of unique technology and logistics software that would make it hard for Amazon to compete.” He said that one of Sendoso’s integrations is actually with Amazon, so Sendoso users can order through there, but then the gift is first routed to Sendoso to be repackaged in a nicer way before being sent out.
At its heart, the startup has built a way of knitting together disparate work practices — some codified in software, and some based on human interactions and significantly more infused with randomness, emotion and ad hoc approaches — and built it all into a technology platform. The ability to scale what feels like an otherwise bespoke level of service is what has helped Sendoso gain traction not just with users, but investors, too.
“We believe Sendoso offers the most comprehensive end-to-end gifting platform in the market,” said Priya Saiprasad, a partner at SoftBank Investment Advisers. “Their platform includes a global marketplace of curated vendors, seamless integration with existing tools, global logistics, and deep analytics. As a result, Sendoso serves as the backbone to enterprises’ engagement programs with prospective customers, existing customers, employees and other key stakeholders. We’re excited to lead this Series C round to help Sendoso accelerate its vision.”
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Whoop raises another $200M for its athlete-focused fitness wearable
Founded in 2012, Whoop is far from a household name in the world of fitness trackers. But over the years, the company has attracted its share of converts. It hasn’t had any issue attracting venture capital over the years, either. Last time we checked in on the Boston-based company was in late-2019, when it raised $55 million. Now it’s back with a massive $200 million raise.
The Series F round brings Whoop’s total funding to nearly $405 million — a pretty massive investment for a company of its size. The round, led by SoftBank’s Vision Fund 2, puts the valuation at a jaw-dropping $3.6 billion valuation.
Additional investors include IVP, Cavu Venture Partners, Thursday Ventures, GP Bullhound, Accomplice, NextView Ventures and Animal Capital. They join a long list of former backers, including the National Football League Players Association, Jack Dorsey and a number of professional athletes.
The company’s targeting of athletes marks a strong contrast with leading consumer wearables like the Apple Watch and Fitbit. In fact, the company has a specific offering for sports teams, as well as solutions for businesses, healthcare and government/defense.
Whoop’s name made the rounds recently when Fitbit announced a “Daily Readiness Score” for the Charge 5, which many likened to the company’s more advanced analytics.
The company cites “rapid growth” in its membership offering over the past year as a motivation behind seeking additional funding. That was likely driven, in part, by the decision in 2019 to make the $500 wearable free, while focusing on a subscription service that starts at $18 a month for an 18-month membership (the shorter the membership, the more the monthly fee).
Whoop is eying international expansion beyond the U.S. and using the massive influx of cash on R&D for its hardware, software and analytics solutions. Money will also go toward expanding headcount, which is currently in excess of 500 (with nearly half of those employees having joined in the past year).
“We are thrilled to deepen our partnership with SoftBank as we grow internationally,” founder and CEO Will Ahmed said in a release. “While we have experienced amazing growth in the past year, the potential of our technology and the vast market for health monitoring remains largely untapped.”
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Peak raises $75M for a platform that helps non-tech companies build AI applications
As artificial intelligence continues to weave its way into more enterprise applications, a startup that has built a platform to help businesses, especially non-tech organizations, build more customized AI decision-making tools for themselves has picked up some significant growth funding. Peak AI, a startup out of Manchester, England, that has built a “decision intelligence” platform, has raised $75 million, money that it will be using to continue building out its platform, expand into new markets and hire some 200 new people in the coming quarters.
The Series C is bringing a very big name investor on board. It is being led by SoftBank Vision Fund 2, with previous backers Oxx, MMC Ventures, Praetura Ventures and Arete also participating. That group participated in Peak’s Series B of $21 million, which only closed in February of this year. The company has now raised $119 million; it is not disclosing its valuation.
(This latest funding round was rumored last week, although it was not confirmed at the time and the total amount was not accurate.)
Richard Potter, Peak’s CEO, said the rapid follow-on in funding was based on inbound interest, in part because of how the company has been doing.
Peak’s so-called Decision Intelligence platform is used by retailers, brands, manufacturers and others to help monitor stock levels and build personalized customer experiences, as well as other processes that can stand to have some degree of automation to work more efficiently, but also require sophistication to be able to measure different factors against each other to provide more intelligent insights. Its current customer list includes the likes of Nike, Pepsico, KFC, Molson Coors, Marshalls, Asos and Speedy, and in the last 12 months revenues have more than doubled.
The opportunity that Peak is addressing goes a little like this: AI has become a cornerstone of many of the most advanced IT applications and business processes of our time, but if you are an organization — and specifically one not built around technology — your access to AI and how you might use it will come by way of applications built by others, not necessarily tailored to you, and the costs of building more tailored solutions can often be prohibitively high. Peak claims that those using its tools have seen revenues on average rise 5%, return on ad spend double, supply chain costs reduce by 5% and inventory holdings (a big cost for companies) reduce by 12%.
Peak’s platform, I should point out, is not exactly a “no-code” approach to solving that problem — not yet at least: It’s aimed at data scientists and engineers at those organizations so that they can easily identify different processes in their operations where they might benefit from AI tools, and to build those out with relatively little heavy lifting.
There have also been different market factors that have played a role. COVID-19, for example, and the boost that we have seen both in increasing “digital transformation” in businesses and making e-commerce processes more efficient to cater to rising consumer demand and more strained supply chains have all led to businesses being more open and keen to invest in more tools to improve their automation intelligently.
This, combined with Peak AI’s growing revenues, is part of what interested SoftBank. The investor has been long on AI for a while; but it also has been building out a section of its investment portfolio to provide strategic services to the kinds of businesses in which it invests.
Those include e-commerce and other consumer-facing businesses, which make up one of the main segments of Peak’s customer base.
Notably, one of its recent investments specifically in that space was made earlier this year, also in Manchester, when it took a $730 million stake (with potentially $1.6 billion more down the line) in The Hut Group, which builds software for and runs D2C businesses.
“In Peak we have a partner with a shared vision that the future enterprise will run on a centralized AI software platform capable of optimizing entire value chains,” Max Ohrstrand, senior investor for SoftBank Investment Advisers, said in a statement. “To realize this a new breed of platform is needed and we’re hugely impressed with what Richard and the excellent team have built at Peak. We’re delighted to be supporting them on their way to becoming the category-defining, global leader in Decision Intelligence.”
It’s not clear that SoftBank’s two Manchester interests will be working together, but it’s an interesting synergy if they do, and most of all highlights one of the firm’s areas of interest.
Longer term, it will be interesting to see how and if Peak evolves to extend its platform to a wider set of users at the organizations that are already its customers.
Potter said he believes that “those with technical predispositions” will be the most likely users of its products in the near and medium term. You might assume that would cut out, for example, marketing managers, although the general trend in a lot of software tools has precisely been to build versions of the same tools used by data scientists for these less technical people to engage in the process of building what it is that they want to use.
“I do think it’s important to democratize the ability to stream data pipelines, and to be able to optimize those to work in applications,” Potter added.
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SoftBank-backed Embark Veterinary valued at $700M after $75M Series B
Now that you have that COVID dog, Embark Veterinary wants to help him or her be in your life for a long time by offering DNA testing with the goal of curbing preventable diseases and increasing the lifespan of dogs by three years within the next decade.
The Boston-based dog genetics company raised $75 million in Series B funding in what the company is calling “the biggest Series B for a pet startup to date.” SoftBank Vision Fund 2 was the lead investor and was joined by existing investors F-Prime Capital, SV Angel, Slow Ventures, Freestyle Capital and Third Kind Venture Capital.
The new round boosts Embark’s total funding to $94.3 million since the company was founded in 2015, according to Crunchbase data. It also gives it a post-money valuation of $700 million, Embark founder and CEO Ryan Boyko told TechCrunch.
Boyko has been a dog lover all his life, and also interested in biology and evolution. Dogs, in particular, are fascinating to him because of their variety: they can be bred to be two pounds or 200 pounds, and come in all shapes and sizes. His interest led him to study dogs in order to understand their evolution.
“I began to think about health problems, and honestly, dogs are a better system for using genetics to better their health than humans,” Boyko said. “You can breed them, so genetics has as much power to cause health problems as it can improve quality and life.”
Embark’s dog DNA test retails for $199 and enables dog owners, breeders and veterinarians to personalize care plans based on a dog’s unique genetic profile. It can test for over 350 breeds and 200 genetic health risks, as well as physical traits. Similar to a 23andMe test, test users can learn characteristics about breed, health and ancestry.
For example, the test could show that a healthy dog may have a gene that predisposes them to slipped discs. If the dog has that, then weight management would be an important factor in their care regime, as would not allowing them to jump off the couch. Another common genetic risk is HUU, or Hyperuricosuria, which is elevated levels of uric acid in urine that could lead to bladder stones due to the way dogs process minerals. By changing the dog’s diet, it could reduce the risk for developing the stones, which are painful and expensive to treat, Boyko said.
The test’s technology revolves around proprietary genotyping technology that analyzes more than 200,000 genetic markers, currently two times more information than any other dog DNA test on the market, Boyko said. This gives Embark the world’s largest database of canine health and biological information, enabling the company to provide insights into certain conditions and make new discoveries about health risks, traits and breeds.
Embark aims to become the standard of care for dog owners and vets. It grew 235% between 2019 and 2020 and saw five times the sales over the past two years. To support that growth, the company intends to use the new funding to bring on key hires and expand its database. Boyko anticipates adding more than 100 employees between 2021 and 2022.
Boyko said the opportunity in the pet startup space is huge. Indeed, U.S. spending on pets reached nearly $100 billion in 2020, up from $95.7 billion in 2019, according to the American Pet Products Association.
At the same time, venture capital interest in U.S. pet-focused companies, from nutrition to travel to healthcare, grew 29.5% from 2019 and 2020, according to Crunchbase data. In addition to Embark’s funding, 2021 was good to other pet startups as well, including pet insurance company Wagmo, raising $12.5 million, connected pet collar company Fi received $30 million and Rover, which announced plans to go public via SPAC.
Lydia Jett, partner at SoftBank Investment Advisers, told TechCrunch that this was her first pet-based investment, and what Embark is doing brings advances to a category right now where people care about their pets enough that they want to do something that will expand their value of life.
Jett said the management team being dedicated to DNA-based analytics is the future, and Embark is starting this big curve when it comes to pets and the convergence of real emotional ties to pets and the ability to improve their lives.
“This company is a driver of change to happen,” she added. “We are the largest consumer investor in the world, and Embark is very much aligned with what we are seeing across our portfolio that consumers are revisiting priorities and choices. That is a major trend, but still early in the cycle of personalization for their pets.”
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Ethos picks up $100M at a $2.7B+ valuation for a big data platform to improve life insurance accessibility
More than half of the U.S. population has stayed away from considering life insurance because they believe it’s probably too expensive, and the most common way to buy it today is in person. A startup that’s built a platform that aims to break down those conventions and democratize the process by making life insurance (and the benefits of it) more accessible is today announcing significant funding to fuel its rapidly growing business.
Ethos, which uses more than 300,000 data points online to determine a person’s eligibility for life insurance policies, which are offered as either term or whole life packages starting at $8/month, has picked up $100 million from a single investor, SoftBank Vision Fund 2. Peter Colis, Ethos’s CEO and co-founder, said that the funding brings the startup’s valuation to over $2.7 billion.
This is a quick jump for the company: It was only two months ago that Ethos picked up a $200 million equity round at a valuation of just over $2 billion.
It has now raised $400 million to date and has amassed a very illustrious group of backers. In addition to SoftBank they include General Catalyst, Sequoia Capital, Accel, GV, Jay-Z’s Roc Nation, Glade Brook Capital Partners, Will Smith and Robert Downey Jr.
This latest injection of funding — which will be used to hire more people and continue to expand its product set into adjacent areas of insurance like critical illness coverage — was unsolicited, Colis said, but comes on the heels of very rapid growth.
Ethos — which is sold currently only in the U.S. across 49 states — has seen both revenues and user numbers grow by over 500% compared to a year ago, and it’s on track to issue some $20 billion in life insurance coverage this year. And it is approaching $100 million in annualized growth profit. Ethos itself is not yet profitable, Colis said.
There are a couple of trends going on that speak to a wide opportunity for Ethos at the moment.
The first of these is the current market climate: Globally we are still battling the COVID-19 global health pandemic, and one impact of that — in particular given how COVID-19 has not spared any age group or demographic — has been more awareness of our mortality. That inevitably leads at least some part of the population to considering something like life insurance coverage that might not have thought about it previously.
However, Colis is a little skeptical on the lasting impact of that particular trend. “We saw an initial surge of demand in the COVID period, but then it regressed back to normal,” he said in an interview. Those who were more inclined to think about life insurance around COVID-19 might have come around to considering it regardless: It was being driven, he said, by those with pre-existing health conditions going into the pandemic.
That, interestingly, brings up the second trend, which goes beyond our present circumstances, and Colis believes will have the more lasting impact.
While there have been a number of startups, and even incumbent providers, looking to rethink other areas of insurance such as car, health and property coverage, life insurance has been relatively untouched, especially in some markets like the U.S. Traditionally, someone taking out life insurance goes through a long vetting process, which is not all carried out online and can involve medical examinations and more, and yes, it can be expensive: The stereotype you might best know is that only wealthier people take out life insurance policies.
Much like companies in fintech that have rethought how loan applications (and payback terms) can be rethought and evaluated afresh using big data — pulling in a new range of information to form a picture of the applicant and the likelihood of default or not — Ethos is among the companies that is applying that same concept to a different problem. The end result is a much faster turnaround for applications, a considerably cheaper and more flexible offer (term life insurance lasts only as long as a person pays for it), and generally a lot more accessibility for everyone potentially interested. That pool of data is growing all the time.
“Every month, we get more intelligent,” said Colis.
There is also the matter of what Ethos is actually selling. The company itself is not an insurance provider but an “insuretech” — similar to how neobanks use APIs to integrate banking services that have been built by others, which they then wrap with their own customer service, personalization and more — Ethos integrates with third-party insurance underwriters, providing customer service, more efficient onboarding (no in-person medical exams for example) and personalization (both in packages and pricing) around them. Given how staid and hard it is to get more traditional policies, it’s essentially meant completely open water for Ethos in terms of finding and securing new customers.
Ethos’s rise comes at a time when we are seeing other startups approaching and rethinking life insurance also in the U.S. and further afield. Last week, YuLife in the U.K. raised a big round to further build out its own take on life insurance, which is to sell policies that are linked to an individual’s own health and wellness practices — the idea being that this will make you happier and give more reason to pay for a policy that otherwise feels like some dormant investment; but also that it could help you live longer (Sproutt is another also looking at how to emphasize the “life” aspect of life insurance). Others like DeadHappy and BIMA are, like Ethos, rethinking accessibility of life insurance for a wider set of demographics.
There are some signs that Ethos is catching on with its mission to expand that pool, not just grow business among the kind of users who might have already been considering and would have taken out life insurance policies. The startup said that more than 40% of its new policy holders in the first half of 2021 had incomes of $60,000 or less, and nearly 40% of new policy holders were under the age of 40. The professions of those customers also speak to that democratization: The top five occupations, it said, were homemaker, insurance agent, business owner, teacher and registered nurse.
That traction is likely one reason why SoftBank came knocking.
“Ethos is leveraging data and its vertically integrated tech stack to fundamentally transform life insurance in the U.S.,” said Munish Varma, managing partner at SoftBank Investment Advisers, in a statement. “Through a fast and user-friendly online application process, the company can accurately underwrite and insure a broad segment of customers quickly. We are excited to partner with Peter Colis and the exceptional team at Ethos.”
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SoftBank Vision Fund 2 leads $140M funding in Vishal Sikka’s Vianai
Vianai Systems, an AI startup founded by Vishal Sikka, former chief executive of Indian IT services giant Infosys, said on Wednesday it has raised $140 million in a round led by SoftBank Vision Fund 2.
The two-year-old startup said a number of industry luminaries also participated in the new round, which brings its total to-date raise to at least $190 million. The startup raised $50 million in its seed financing round, but there’s no word on the size of its Series A round.
Details about what exactly the Palo Alto-headquartered startup does is unclear. In a press statement, Dr. Vishal Sikka said the startup is building a “better AI platform, one that puts human judgment at the center of systems that bring vast AI capabilities to amplify human potential.” Sikka, 54, resigned from the top role at Infosys in 2017 after months of acrimony between the board and a cohort of founders.
“Vianai helps its customers amplify the transformation potential within their organizations using a variety of advanced AI and ML tools with a distinct approach in how it thoughtfully brings together humans with technology. This human-centered approach differentiates Vianai from other platform and product companies and enables its customers to fulfill AI’s true promise,” the startup said.
The startup claims it has already amassed as its customers many of the world’s largest and most respected businesses, including insurance giant Munich Re.
Its investors include Jim Davidson (co-founder of Silver Lake), Henry Kravis and George Roberts (co-founders of KKR), and Jerry Yang (founding partner of AME and co-founder of Yahoo). Dr. Fei-Fei Li (co-director of the Stanford Institute for Human-Centered AI) has joined Vianai Systems’ advisory board.
“With the AI revolution underway, we believe Vianai’s human-centered AI platform and products provide global enterprises with operational and customer intelligence to make better business decisions,” said Deep Nishar, senior managing partner at SoftBank Investment Advisers, in a statement. “We are pleased to partner with Dr. Sikka and the Vianai team to support their ambition to fulfill AI’s promise to drive fundamental digital transformations.”
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Automotive marketplace Carro hits unicorn status with $360M Series C led by SoftBank Vision Fund 2
Carro, one of the largest automotive marketplaces in Southeast Asia, announced it has hit unicorn valuation after raising a $360 million Series C led by SoftBank Vision Fund 2. Other participants include insurance giant MSIG and Indonesian-based funds like EV Growth, Provident Growth and Indies Capital. About 90% of vehicles sold through Carro are secondhand, and it offers services that cover the entire lifecycle of a car, from maintenance to when it is broken down and recycled for parts.
Founded in 2015, Carro started as an online marketplace for cars, before expanding into more verticals. Co-founder and chief executive officer Aaron Tan told TechCrunch that, roughly speaking, the company’s operations are divided into three sections: wholesale, retail and fintech. Its wholesale business works with car dealers who want to purchase inventory, while its retail side sells to consumers. Its fintech operation offers products for both, including B2C car loans, auto insurance and B2B working capital loans.
Carro’s last funding announcement was in August 2019, when it said it had extended its Series B to $90 million. The company’s latest funding will be used to fund acquisitions, expand its financial services portfolio and develop its AI capabilities, which Carro uses to showcase cars online, develop pricing models and determine how much to charge insurance policyholders.
It also plans to expand retail services in its main markets: Indonesia, Thailand, Malaysia and Singapore. Carro currently employs about 1,000 people across the four countries and claims its revenue grew more than 2.5x during the financial year ending March 2021.
The COVID-19 pandemic helped Carro’s business because people wanted their own vehicles to avoid public transportation and became more receptive to shopping for cars online. Those factors also helped competitors like OLX Autos and Carsome fare well during the pandemic.
The adoption of electric vehicles across Southeast Asia has resulted in a new tailwind for Carro, because people who buy an EV usually want to sell off their combustion engine vehicles. Carro is currently talking to some of the largest electric vehicle countries in the world that want to launch in Southeast Asia.
“For every car someone typically buys in Southeast Asia, there’s always a trade-in. Where do cars go, right? We are a marketplace, but on a very high level, what we’re doing is reusing and recycling. That’s a big part in the environmental sustainability of the business, and something that sets us apart of other players in the region,” Tan said.
Cars typically stay in Carro’s inventory for less than 60 days. Its platform uses computer vision and sound technology to replicate the experience of inspecting a vehicle in-person. When someone clicks on a Carro listing, an AI bot automatically engages with them, providing more details about the cost of the car and answering questions. They also see a 360-degree view of the vehicle, its interior and can virtually start the engine to see how it sounds. Listings also provide information about defects and inspection reports.
Since many customers still want to get an in-person look before finalizing a purchase, Carro recently launched a beta product called Showroom Anywhere. Currently available in Singapore, it allows people to unlock Carro cars parked throughout the city, using QR codes, so they can inspect it at any time of the day, without a salesperson around. The company plans to add test driving to Showroom Anywhere.
“As a tech company, our job is to make sure we automate everything we can,” said Tan. “That’s the goal of the company and you can only assume that our cost structure and our revenue structure will get better along the years. We expect greater margin improvement and a lot more in cost reduction.”
Pricing is fixed, so shoppers don’t have to engage in haggling. Carro determines prices by using machine-learning models that look at details about a vehicle, including its make, model and mileage, and data from Carro’s transactions as well as market information (for example, how much of a particular vehicle is currently available for sale). Carro’s prices are typically in the middle of the market’s range.
Cars come with a three or seven-day moneyback guarantee and 30-day warranty. Once a customer decides to buy a car, they can opt to apply for loans and insurance through Carro’s fintech platform. Tan said Carro’s loan book is about five years old, almost as old as the startup itself, and is currently about $200 million.
Carro’s insurance is priced based on the policyholders driving behavior as tracked by sensors placed in their cars. This allows Carro to build a profile of how someone drives and the likelihood that they have an accident or other incident. For example, someone will get better pricing if they typically stick to speed limits.
“It sounds a bit futuristic,” said Tan. “But it’s something that’s been done in the United States for many years, like GEICO and a whole bunch of other insurers,” including Root Insurance, which recently went public.
Tan said MSIG’s investment in Carro is a “statement that we are really trying to triple down in insurance, because an insurer has so much linkage with what we do. The reason that MSIG is a good partner is that, like ourselves, they believe a lot in data and the difference in what we call ‘new age’ insurance, or data-driven insurance.”
Carro is also expanding its after-sale services, including Carro Care, in all four of its markets. Its after-sale services reach to the very end of a vehicle’s lifecycle and its customers include workshops around the world. For example, if a Toyota Corolla breaks down in Singapore, but its engine is still usable, it might be extracted and shipped to a repair shop in Nairobi, and the rest of its parts recycled.
“One thing I always ask in management meetings, is tell me where do cars go to die in Indonesia? Where do cars go to die in Thailand? There has to be a way, so if there is no way, we’re going to find a way,” said Tan.
In a statement, SoftBank Investment Advisers managing partner Greg Moon said, “Powered by AI, Carro’s technology platform provides consumers with full-stack services and transparency throughout the car ownership process. We are delighted to partner with Aaron and the Carro team to support their ambition to expand into new markets and use AI-powered technology to make the car buying process smarter, simpler and safer.”
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Korea’s Riiid raises $175M from SoftBank to expand its AI-based learning platform to global markets
“AI is eating the world of education,” Riiid co-founder and CEO YJ Jang notes in his biographical description on his LinkedIn profile. Today his startup — which builds AI-based personalized learning, including test prep, for students — is announcing a major funding round to help it position itself as a player in that process.
Seoul-based Riiid has closed a funding round of $175 million, an equity round coming from a single backer, SoftBank’s Vision Fund 2.
The funding is coming at a high-watermark moment for edtech — with the shift to remote learning in the last year of pandemic living highlighting the opportunity to build better tools to serve that market, and a number of startups in the category subsequently raising hundreds of millions of dollars to tackle the opportunity. Riiid plans to use the investment both to expand its footprint internationally, a well as to expand its products.
Riiid is not disclosing its valuation, but this round is its biggest yet and brings the total raised by the startup to $250 million, a significant sum in the world of edtech.
Riiid has primarily made a name for itself through Santa, a test prep app geared toward people in non-English-language countries to practice and prepare to take the TOEIC English language proficiency exam (often a requirement to apply to English-language universities if you’re not a native English speaker), which has been used by more than 2.5 million students in Korea and Japan.
It has also been partnering with third parties to expand into test prep for other exams. These have included the GMAT (in partnership with Kaplan) for Korean students; an app, in partnership with ConnecME Education (a company that tailors educational services specifically to cater to international audiences) to help people in Egypt, UAE, Turkey, Saudi Arabia and Jordan prepare for the ACT; and a deal to build AI-based tools for students in Latin America to prepare for their college entrance exams. The ACT development comes after Riiid said that the former CEO of ACT, Marten Roorda, was joining its international arm Riiid Labs as its “executive in residence,” so that could point to more ACT prep applications for other markets, too.
Beyond university entrance tests, Riiid has also been building apps for vocational education, with Santa Realtor for preparing for real estate agency exams, and a test preparation tool for insurance agent exams, both in Korea.
The company has been growing at a time when edtechs are seeing more business and a rise in overall credibility and urgency to fill the gap left by the temporary cessation of in-person learning. The extra element of bringing artificial intelligence into the equation is not unique: A number of companies are bringing in advances in computer vision, natural language processing and machine learning to bring more personalized experiences into what might otherwise appear like a one-size-fits-all model. What is notable here is that Riiid has also been anchoring a lot of its R&D in IP. The company says it has applied for 103 domestic and international patents, and has so far had 27 of them issued.
“Riiid wants to transform education with AI, and achieve a true democratization of educational opportunities,” said Riiid CEO YJ Jang in a statement. “This investment is only the beginning of our journey in creating a new industry ecosystem and we will carry out this mission with global partnerships.”
For SoftBank, this is one of the firm’s bigger edtech investments — others have included Kahoot ($215 million), Unacademy in India and Descomplica in Brazil. Riiid said that this round is SoftBank’s first specifically in the area of AI built for educational applications.
“Riiid is driving a paradigm shift in education, from a ‘one size fits all’ approach to personalized instruction. Powered by AI and machine learning, Riiid’s platform provides education companies, schools and students with personalized plans and tools to optimize learning potential,” said Greg Moon, managing partner at SoftBank Investment Advisers. “We are delighted to partner with YJ and the Riiid team to support their ambition of democratizing quality education around the world.”
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Zeta in talks with SoftBank to raise at over $1 billion valuation
Banking tech startup Zeta is inching closer to the much sought-after unicorn status as it engages with investors to finalize a new round, two sources familiar with the matter told TechCrunch.
SoftBank Vision Fund 2 is in advanced stages of talks to lead a ~$250 million Series D round in the five-year-old startup, the sources said. The investment proposal values the Indian startup, co-founded by high-profile entrepreneur Bhavin Turakhia, at over $1 billion, up from $300 million in its maiden external funding (Series C) in 2019.
The round has yet to close, a third person said.
A SoftBank spokesperson declined to comment.
Five-year-old Zeta helps banks launch modern retail and fintech products. The thesis is that banks — largely operating on antiquated technologies — today don’t have the time and expertise to offer the best experience to hundreds of millions of customers and fintech firms they serve.
Zeta is attempting to help banks either use the startup’s cloud-native, API-first banking stack as its core framework or build services atop it to offer better a experience to all customers — think of improved mobile app and debit and credit features. It also offers API, SDKs and payment gateways to banks to work more efficiently with fintech firms.
The startup has amassed clients in several Asian and Latin American markets.
Turakhia, with his brother Divyank, started his first venture in 1998. Along the way, they sold four web companies to Endurance for $160 million. Zeta is the third startup Bhavin has co-founded since then — the other being business messaging platform Flock and Radix.
When the deal is finalized, Zeta would join a growing list of Indian startups that have turned a unicorn in recent months. Last week, social commerce Meesho — also backed by SoftBank Vision Fund 2 — fintech firm CRED, e-pharmacy firm PharmEasy, millennials-focused Groww, business messaging platform Gupshup and social network ShareChat attained the unicorn status.
The story was updated with additional details and to note that the round hasn’t closed.
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SambaNova raises $676M at a $5.1B valuation to double down on cloud-based AI software for enterprises
Artificial intelligence technology holds a huge amount of promise for enterprises — as a tool to process and understand their data more efficiently; as a way to leapfrog into new kinds of services and products; and as a critical stepping stone into whatever the future might hold for their businesses. But the problem for many enterprises is that they are not tech businesses at their core, so bringing on and using AI will typically involve a lot of heavy lifting. Today, one of the startups building AI services is announcing a big round of funding to help bridge that gap.
SambaNova — a startup building AI hardware and integrated systems that run on it that only officially came out of three years in stealth last December — is announcing a huge round of funding today to take its business out into the world. The company has closed on $676 million in financing, a Series D that co-founder and CEO Rodrigo Liang has confirmed values the company at $5.1 billion.
The round is being led by SoftBank, which is making the investment via Vision Fund 2. Temasek and the government of Singapore Investment Corp. (GIC), both new investors, are also participating, along with previous backers BlackRock, Intel Capital, GV (formerly Google Ventures), Walden International and WRVI, among other unnamed investors. (Sidenote: BlackRock and Temasek separately kicked off an investment partnership yesterday, although it’s not clear if this falls into that remit.)
Co-founded by two Stanford professors, Kunle Olukotun and Chris Ré, and Liang, who had been an engineering executive at Oracle, SambaNova has been around since 2017 and has raised more than $1 billion to date — both to build out its AI-focused hardware, which it calls DataScale, and to build out the system that runs on it. (The “Samba” in the name is a reference to Liang’s Brazilian heritage, he said, but also the Latino music and dance that speaks of constant movement and shifting, not unlike the journey AI data regularly needs to take that makes it too complicated and too intensive to run on more traditional systems.)
SambaNova on one level competes for enterprise business against companies like Nvidia, Cerebras Systems and Graphcore — another startup in the space which earlier this year also raised a significant round. However, SambaNova has also taken a slightly different approach to the AI challenge.
In December, the startup launched Dataflow-as-a-Service as an on-demand, subscription-based way for enterprises to tap into SambaNova’s AI system, with the focus just on the applications that run on it, without needing to focus on maintaining those systems themselves. It’s the latter that SambaNova will be focusing on selling and delivering with this latest tranche of funding, Liang said.
SambaNova’s opportunity, Liang believes, lies in selling software-based AI systems to enterprises that are keen to adopt more AI into their business, but might lack the talent and other resources to do so if it requires running and maintaining large systems.
“The market right now has a lot of interest in AI. They are finding they have to transition to this way of competing, and it’s no longer acceptable not to be considering it,” said Liang in an interview.
The problem, he said, is that most AI companies “want to talk chips,” yet many would-be customers will lack the teams and appetite to essentially become technology companies to run those services. “Rather than you coming in and thinking about how to hire scientists and hire and then deploy an AI service, you can now subscribe, and bring in that technology overnight. We’re very proud that our technology is pushing the envelope on cases in the industry.”
To be clear, a company will still need data scientists, just not the same number, and specifically not the same number dedicating their time to maintaining systems, updating code and other more incremental work that comes managing an end-to-end process.
SambaNova has not disclosed many customers so far in the work that it has done — the two reference names it provided to me are both research labs, the Argonne National Laboratory and the Lawrence Livermore National Laboratory — but Liang noted some typical use cases.
One was in imaging, such as in the healthcare industry, where the company’s technology is being used to help train systems based on high-resolution imagery, along with other healthcare-related work. The coincidentally-named Corona supercomputer at the Livermore Lab (it was named after the 2014 lunar eclipse, not the dark cloud of a pandemic that we’re currently living through) is using SambaNova’s technology to help run calculations related to some COVID-19 therapeutic and antiviral compound research, Marshall Choy, the company’s VP of product, told me.
Another set of applications involves building systems around custom language models, for example in specific industries like finance, to process data quicker. And a third is in recommendation algorithms, something that appears in most digital services and frankly could always do to work a little better than it does today. I’m guessing that in the coming months it will release more information about where and who is using its technology.
Liang also would not comment on whether Google and Intel were specifically tapping SambaNova as a partner in their own AI services, but he didn’t rule out the prospect of partnering to go to market. Indeed, both have strong enterprise businesses that span well beyond technology companies, and so working with a third party that is helping to make even their own AI cores more accessible could be an interesting prospect, and SambaNova’s DataScale (and the Dataflow-as-a-Service system) both work using input from frameworks like PyTorch and TensorFlow, so there is a level of integration already there.
“We’re quite comfortable in collaborating with others in this space,” Liang said. “We think the market will be large and will start segmenting. The opportunity for us is in being able to take hold of some of the hardest problems in a much simpler way on their behalf. That is a very valuable proposition.”
The promise of creating a more accessible AI for businesses is one that has eluded quite a few companies to date, so the prospect of finally cracking that nut is one that appeals to investors.
“SambaNova has created a leading systems architecture that is flexible, efficient and scalable. This provides a holistic software and hardware solution for customers and alleviates the additional complexity driven by single technology component solutions,” said Deep Nishar, senior managing partner at SoftBank Investment Advisers, in a statement. “We are excited to partner with Rodrigo and the SambaNova team to support their mission of bringing advanced AI solutions to organizations globally.”
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