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When ZeroAvia’s six-seater aircraft completed an eight-minute flight from Cranfield Airfield in the U.K. last September, the company claimed a “major breakthrough” with the first-ever hydrogen fuel cell flight of a commercial-size aircraft.
The modified Piper Malibu propeller plane was now the largest hydrogen-powered aircraft in the world, wrote the company. “While some experimental aircraft have flown using hydrogen fuel cells, the size of this aircraft shows that paying passengers could be boarding a truly zero-emission flight very soon,” added Val Miftakhov, ZeroAvia’s CEO.
But just how hydrogen-powered was it, and how close is ZeroAvia to flying passengers?
“[In] this particular setup, not all the energy is coming from hydrogen,” said Miftakhov at a press conference directly afterwards. “There is a combination of the battery and hydrogen. But the way the battery and hydrogen fuel cells combine is such that we are able to fly purely on hydrogen.”
Miftakhov’s comments don’t quite tell the whole story. TechCrunch has learned that batteries provided the majority of the power required for the landmark flight, and will continue to feature heavily in ZeroAvia’s longer flights and new aircraft. And while the Malibu is technically still a passenger aircraft, ZeroAvia has had to replace four of the Malibu’s five passenger seats to accommodate bulky hydrogen tanks and other equipment.
In less than four years, ZeroAvia has gone from testing aircraft parts in pickup trucks to gaining the support of the U.K. government, and attracting investment from the likes of Jeff Bezos, Bill Gates and — just last week — British Airways. Now the question is whether it can continue on its claimed trajectory and truly transform aviation.
Aviation currently accounts for 2.5% of humanity’s carbon emissions, and could grow to a quarter of the planet’s carbon budget by 2050. Biofuels can displace trees or food crops, while batteries are too heavy for anything more than short hops. Hydrogen, by contrast, can be generated using solar or wind power, and packs quite an energetic punch.
Fuel cells combine hydrogen with oxygen from the air in an efficient reaction that produces only electricity, heat and water. But that doesn’t mean you can simply drop a fuel cell into an existing aircraft. Fuel cells are heavy and complex, hydrogen requires bulky storage and there are many technical problems for startups to solve.
Russian-born Miftakhov arrived in America in 1997 to study for a physics doctorate. In 2012, after starting several companies and a stint at Google, he founded eMotorWerks (aka EMW) to produce electric conversion kits for the BMW 3-series.
But in 2013, BMW accused EMW of infringing its trademarks. Miftakhov agreed to change its logo and marketing materials, and to refrain from suggesting it was affiliated with the carmaker. He also found demand from BMW owners to be sluggish.
EMW then pivoted to providing chargers and a smart energy management platform. The new direction succeeded, and in 2017 Italian energy company Enel acquired EMW for a reported $150 million. But Miftakhov faced legal difficulties here, too.
George Betak, an EMW vice president, filed two civil lawsuits against Miftakhov alleging, among other things, that Miftakhov had left his name off patents, withheld money and even faked a document to make it seem as though Betak had assigned his intellectual property rights to EMW. Betak later withdrew some claims. The cases were quietly settled in the summer of 2020.
Weeks after selling EMW in 2017, Miftakhov incorporated ZeroAvia in San Carlos, California with the stated aim of “zero emissions aviation.” He was counting on the aviation industry being more interested in electrifying existing aircraft than BMW drivers had been.
The first public outing for ZeroAvia was in October 2018 at Hollister Airport, 50 miles southwest of San Jose. Miftakhov mounted a propeller, an electric motor and batteries in the bed of a 1969 El Camino and took it up to 75 knots (85mph) on electric power.
In December, ZeroAvia bought a Piper PA-46 Matrix, a six-seater propeller plane very similar to the one it would later use in the U.K. Miftakhov’s team installed the motor and about 75kWh of lithium ion batteries — about the same as in an entry-level Tesla Model Y.
In February 2019, two days after the FAA granted it an experimental airworthiness certificate, the all-electric Piper took to the air. By mid-April, the Matrix was flying at its top speed and maximum power. It was ready to upgrade to hydrogen.
Import records show that ZeroAvia took delivery of a carbon fiber hydrogen tank from Germany in March. One company photo exists of the Matrix with a tank on its left wing, but ZeroAvia never released a video of it flying. Something had gone wrong.
In July, ZeroAvia’s R&D director posted a message on a forum for Piper owners: “We have damaged a wing of our Matrix, which we loved and pampered so much. The damage is so bad that it has to be replaced. Is anyone aware of [a suitable aircraft] that is going to be sold for parts any time soon?”
Miftakhov confirmed that the damage, not previously reported, occurred while ZeroAvia was reconfiguring the aircraft. That aircraft has not flown since, and ZeroAvia’s time as a Silicon Valley startup was coming to an end.
With ZeroAvia’s U.S. flight tests on hold, Miftakhov turned his attention to Britain, where Prime Minister Boris Johnson is banking on ”a new green industrial revolution.”
In September 2019, Aerospace Technology Institute (ATI), a U.K. government-supported company, funded a ZeroAvia-led project called HyFlyer, with £2.68 million ($3.3 million). Miftakhov committed to deliver a hydrogen fuel cell Piper that could fly more than 280 miles, within a year. Sharing the money would be Intelligent Energy, a fuel cell maker, and the European Marine Energy Centre (EMEC), which would provide hydrogen fueling tech.
“ZeroAvia had proved the concept of retrofitting an electric power train into an aircraft and instead of powering it by batteries, they wanted to power it with hydrogen,” said Richard Ainsworth, EMEC’s hydrogen manager at the time. “That was the whole purpose of the HyFlyer project.”
Gary Elliott, CEO of ATI, told TechCrunch that it was “really important” to ATI that ZeroAvia was using fuel cells rather than a battery system: “You need to spread your investment profile, so that you’ve got as much likelihood of success as you can.”
ZeroAvia set up in Cranfield and in February 2020, bought a six-seater Piper Malibu, similar to the damaged Matrix. Although the company fitted and flew it with batteries by June, the government still needed reassuring. “I’d be happy to catch up and think about what we can do to address the concerns that are nagging away at the ATI,” wrote an official, according to an email obtained by TechCrunch under a freedom of information request.
Intelligent Energy CTO Chris Dudfield told TechCrunch that the HyFlyer program went smoothly, but that his company is still years away from flying a larger fuel cell and that he never even saw ZeroAvia’s plane.
ZeroAvia’s partnership with Intelligent Energy might have helped it secure U.K. government funding but it wasn’t going to help power the Malibu. ZeroAvia needed to find a fuel cell supplier — fast.
In August, ZeroAvia wrote to government officials that “we are now gearing up for our first hydrogen-powered flight,” and invited the Secretary of State to attend.
Miftakhov said that ZeroAvia’s demonstration flight used a 250 kilowatt hydrogen fuel cell powertrain — the largest ever in an aircraft. This is comparable in power to the internal combustion engine that Pipers typically use, giving a healthy margin of safety for the most demanding phase of flight: take off.
ZeroAvia never identified its fuel cell supplier, nor detailed how much of the 250kW came from the fuel cell.
However, the day after the demonstration flight, a Swedish company called PowerCell issued a press release stating that one PowerCell MS-100 fuel cell was “an integral part of the powertrain.”
The MS-100 generates a maximum power of just 100kW, leaving 150kW unaccounted for. This means the majority of the power needed for take-off could only have come from the Piper’s batteries.
In an interview with TechCrunch, Miftakhov acknowledged that the Piper could not have taken off on fuel cell power alone in the September flight. He said the plane’s batteries were probably operational for the entire demonstration flight, and provided “some additional safety margin for the aircraft.”
Many fuel cell vehicles use batteries, either to smooth out fluctuations or to boost power briefly, although some manufacturers have been more transparent about their sources of power. One problem with relying on batteries for take off is that the plane then has to carry them for the whole flight.
“The fundamental challenge for hydrogen fuel cell aircraft is weight,” said Paul Eremenko, CEO of Universal Hydrogen, which is collaborating on a 2000kW fuel cell powertrain for another aircraft. “One of the ways we save weight is having a much smaller battery that is only used when a pilot guns the throttle.”
In February, ZeroAvia’s vice president, Sergey Kiselev, said that the company’s goal was to do without batteries altogether. “Batteries may be used to provide an extra oomph during take off,” he told the Royal Aeronautical Society. “But if you use different types of propulsion or energy storage on the aircraft, the certification effort will be significantly harder.”
Relying heavily on batteries allowed ZeroAvia to pull off its high-profile demonstration flight for investors and the U.K. government, but could ultimately delay its first flights with paying passengers.
Without an exhaust to expel waste heat, fuel cells usually need a complex air or liquid cooling system to avoid overheating
“This is really the key intellectual property, and why it isn’t just a matter of buying a fuel cell, buying a motor and plugging them together,” says Eremenko.
The German Aerospace Center in Cologne has been flying hydrogen fuel cell aircraft since 2012. Its current aircraft, the custom-designed HY4, can carry four passengers up to 450 miles. Its 65kW fuel cell has a liquid cooling system that uses a large, aerodynamically optimized channel for the cooling air flow (see picture).
A similar 100kW system would generally need a cooling intake longer and a third bigger than the HY4’s. ZeroAvia’s Piper Malibu has no additional cooling intakes at all.
“The openings look way too small for the air speed at take off, and even for cruise speed,” said an aviation fuel cell engineer who asked not to be named because they deal with some of the same companies as ZeroAvia.
“We had to experiment with the location and configuration of the heat exchangers… but we did not have to redesign the shape of the aircraft to handle the heat,” countered Miftakhov. He claims the fuel cell was operating at between 85 and 100kW during the flight.
Following TechCrunch’s interview with ZeroAvia, the company released a video that appears to show the Piper’s fuel cell operating at up to 70kW during a ground test, which could equate to a higher power level when airborne.
Although this still needs to be demonstrated with long-distance flights, ZeroAvia may have solved the heat problem that has dogged other engineers for years.
In September, aviation minister Robert Courts was at Cranfield to watch the demonstration flight. “It’s one of the most historic moments in aviation for decades, and it is a huge triumph for ZeroAvia,” he said after the flight. Time magazine named ZeroAvia’s technology as one of the best inventions of 2020.
Even with the HyFlyer extended flight still to come, in December the U.K. government announced HyFlyer 2 — a £12.3 million ($16.3 million) project for ZeroAvia to deliver a 600kW hydrogen-electric powertrain for a larger aircraft. ZeroAvia agreed to have a 19-seat plane ready for commercialization in 2023. (It now says 2024.)
On the same day, ZeroAvia announced its $21.3 million Series A investor lineup, including Bill Gates’ Breakthrough Ventures Fund, Jeff Bezos’ Amazon Climate Pledge Fund, Ecosystem Integrity Fund, Horizon Ventures, Shell Ventures and Summa Equity. It announced another $23.4 million raise from these investors, without Amazon but with British Airways, in late March.
Miftakhov said the Malibu has now completed about a dozen test flights, with the long-distance U.K. flight pushed to later this year, due to COVID delays. And as for HyFlyer 2, Miftakhov now says that this will initially use half batteries and half fuel cells, although “the final certifiable flight configuration will get its full 600kW from the fuel cells.”
There is no doubt that ZeroAvia is facing a steep climb to deliver its promised aircraft, starting with the 19-seater, then a 50-seater plane in 2026, and a 100-seater by 2030.
Hydrogen fuel cells still have a whiff of snake oil about them, thanks to Nikola, a startup that exaggerated a public demonstration of a hydrogen fuel cell truck, triggering a collapse in its share price and investigation by the SEC. The best option for ambitious start-ups like ZeroAvia is to be more transparent about their current technology and the challenges that lie ahead, even if that means tempering the expectations of investors and a public excited by the prospect of sustainable air travel.
“I desperately want ZeroAvia to be successful,” says Paul Eremenko. “I think we have very complementary business models and together we help complete the value chain to make hydrogen aviation happen.”
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Before a startup can achieve product-market fit, founders must first listen to their customers, build what they require and fashion a business plan that makes the whole enterprise worthwhile. The numbers will tell the true story, but when it happens, you’ll feel it in your bones because sales will be good, customers will happy and revenue will growing.
Reaching that tipping point can be a slog, especially for first-time founders. To uncover some basic truths about building products, we spoke to three entrepreneurs who have each built more than one company:
First-time founders often try to build the product they think the market wants. That’s what Scratchpad co-founder Salehi did when he founded his previous startup PersistIQ. Before launching his latest venture, he took a different approach: Instead of plowing ahead with a product and adjusting after he got in front of customers, he decided to step back and figure out what his customers needed first.
“Tactically what we did differently at Scratchpad is we tried to be much more deliberate up front. And what that looked like was [ … ] to not start with building, even though the product is such an important part, but really step back and understand what we are doing here in the first place,” he said.
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Atlassian’s Jira is an extremely powerful issue tracking and project management tool, but it’s not the world’s most intuitive piece of software. Spreadsheets, on the other hand, are pretty much the de facto standard for managing virtually anything in a business. It’s maybe no surprise then that there are already a couple of tools on the market that bring a spreadsheet-like view of your projects to Jira or connect it to services like Google Sheets.
The latest entrant in this field is JXL Spreadsheets for Jira (and specifically Jira Cloud), which was founded by two ex-Atlassian employees, Daniel Franz and Hannes Obweger. And in what has become a bit of a trend, Atlassian Ventures invested in JXL earlier this year.
Franz built the Good News news reader before joining Atlassian, while his co-founder previously founded Radiant Minds Software, the makers of Portfolio for Jira, which was acquired by Atlassian.
“Jira is so successful because it is awesome,” Franz told me. “It is so versatile. It’s highly customizable. I’ve seen people in my time who are doing anything and everything with it. Working with customers [at Atlassian] — at some point, you didn’t get surprised anymore, but what the people can do and track with Jira is amazing. But no one would rock up and say, ‘hey, Jira is very pleasant and easy to use.’ ”
As Franz noted, by default, Jira takes a very opinionated view of how people should use it. But that also means that users often end up exporting their issues to create reports and visualizations, for example. But if they make any changes to this data, it never flows back into Jira. No matter how you feel about spreadsheets, they do work for many people and are highly flexible. Even Atlassian would likely agree because the new Jira Work Management, which is currently in beta, comes with a spreadsheet-like view and Trello, too, recently went this way when it launched a major update earlier this year.
Over the course of its three-month beta, the JXL team saw how its users ended up building everything from cross-project portfolio management to sprint planning, backlog maintenance, timesheets and inventory management on top of its service. Indeed, Franz tells me that the team already has some large customers, with one of them having a 7,000-seat license.
Pricing for JXL seems quite reasonable, starting at $1 flat for teams with up to 10 users. Larger teams pay per user/month, with prices that go down to $0.45/user/month for licenses with over 5,000 seats. There is also a free trial.
One of the reasons the company can offer this kind of pricing is because it only needs a very simple backend. None of a customer’s data sits on JXL’s servers. Instead, it sits right on top of Jira’s APIs, which in turn also means that changes are synced back and forth in real time.
JXL is now available in the Atlassian Marketplace and the team is actively hiring as it looks to build out its product (and put its new funding to work).
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Microsoft’s huge purchase of health tech AI company Nuance led the technology news cycle this week. The $19.7 billion transaction is Microsoft’s second-largest to date, only beaten by its purchase of LinkedIn some years ago.
For the AI space, the sale is a coup. Nuance was already a public company, but to see Microsoft offer a firm premium over its public-market value demonstrates the value that AI technology can have to wealthy companies. For startups working in the AI space, the Nuance deal is good news; the value of AI revenue was repriced by the acquisition’s announcement — and for the better.
In light of the megadeal, The Exchange dug into the AI venture capital market. What’s happening on the startup side of the coin in the artificial intelligence and machine learning (AI/ML) space?
The Exchange explores startups, markets and money. Read it every morning on Extra Crunch, or get The Exchange newsletter every Saturday.
To get a handle on the situation, we’ve compiled Q1 2021 and historical venture capital investment data via PitchBook, spoken to an active venture capitalist with a focus on AI-powered startups, and heard from a couple of startups recently featured on CB Insights’ list of leading AI upstarts for their take on the recent news.
The picture that emerges is one of strong investor interest and the expectation of even more in the wake of the Microsoft-Nuance tie-up. For AI startups, it’s a great time to be in the market.
This morning, we’ll start with a look into recent venture capital activity in the AI/ML market and its historical context. Then we’ll talk to Zetta Ventures’ Jocelyn Goldfein and a few companies in the AI space. Let’s go!
According to historical data compiled by PitchBook, venture capital investment into U.S.-based, AI-focused startups is enjoying a strong start to the year. Per the group’s provided dataset, from the start of 2021 through April 12, or the first 101 days of the year, 442 deals in the space were worth $11.65 billion.
In 2020, the same query for U.S.-based startups working in the AI and ML space — the line between ML and AI is blurrier than ever — turned up 1,601 rounds worth $27.49 billion.
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After his last startup, Framed Data, was acquired by Square, Thomson Nguyen began exploring new ideas. While an entrepreneur-in-residence at Kleiner Perkins, Nguyen interviewed hundreds of small business owners and realized that many pay hundreds of dollars in fees to maintain a business checking account. “Most small businesses are low margin, high cash flow, so they don’t have $4,000 just laying around,” Nguyen told TechCrunch. “We found in our analysis that micro-SMBs actually end up paying on average $450 in overdraft fees a year.”
Nguyen’s new startup Hatch recently launched its first two products and announced today it has secured a total of $20 million in funding from investors like Kleiner Perkins, Foundation Capital, SVB and Plaid’s founders. The fintech’s Hatch Business Checking accounts cost $10 a month, don’t charge non-sufficient funds (NSF) or overdraft fees and include cashback offers. Eligible account holders can also enroll in Hatch Cover, which covers overdrafts up to $100, or apply for lines of credit.
Some of Hatch’s customers have hundreds of employees, but Nguyen said the startup primarily focuses on businesses with up to 20 people. Many are run by only one person, who might be setting up a business account for the first time.
Hatch draws on Nguyen’s professional and personal backgrounds. Framed Data, a predictive analytics company, was acquired by Square in 2016. He worked as Square Capital’s head of data science before becoming an entrepreneur-in-residence at Kleiner Perkins in 2018, focusing on fintech and machine learning problems. As a child of immigrants, Nguyen saw firsthand the challenges small businesses can face.
“During my time at Kleiner, the goal was to think about what other problems I wanted to solve. I definitely wanted to solve additional problems within small businesses. I think a lot of what I appreciate about Square’s mission of economic empowerment for small businesses also really resonated with my own family story,” he said. “My parents immigrated here from Vietnam after the war and were like so many immigrants to the States to start small businesses. Figuring out how to use whatever talents I had to try to make it easier to start small businesses was definitely something I wanted to pursue.”
Hatch’s leadership team, including alumni of fintech companies and major financial institutions like Square, Stripe, Morgan Stanley and JP Morgan, talked to small business owners, and found that recent immigrants or people without credit histories were paying the majority of bank fees. The startup raised a $5 million seed round from Kleiner Perkins, Abstract Ventures and former Square executive Gokul Rajaram in January 2019, then a $14 million Series A round from Foundation Capital, SVB and Plaid founders William Hockey and Zack Perret in February 2020.
Hatch Business Checking began rolling out in January and currently has 4,000 users. The company’s inception coincided with an especially brutal time for many small business owners, as they weathered the COVID-19 pandemic’s economic impact and navigated the process of getting government aid through the Coronavirus Aid, Relief and Economic Security (CARES) Act.
“Initially I was a little worried, but as I was talking to all of our small business customers and even as I was doing these interviews, I realized that amidst a global pandemic, it’s been humbling to see the grit and perseverance of small business owners trying to innovate and learn,” Nguyen said.
For example, some of Hatch’s users are restaurants that hadn’t done deliveries before, but quickly signed up for multiple on-demand platforms like Postmates or Uber Eats. Others include accountants and lawyers who figured out how to move their practices online.
Hatch serves businesses in a wide range of sectors, including first-time entrepreneurs.
“There’s been this interesting trend of sole proprietors and individual creators who maybe had a side hustle, and after they were laid off during COVID, they decided, okay, I’m going start a small business,” Nguyen said. “Through our research, that’s actually how a lot of small businesses think of themselves, not as Thomson Tacos LLC for example, but just as myself, as Thomson, a person who is running this business.”
The startup uses machine learning to automate Hatch Business Checking’s online sign-up process and its know your customer (KYC) and know your business (KYB) requirements. This includes confirming business incorporation paperwork, social security or employer ID numbers and regulatory compliance like Office of Foreign Asset Control (OFAC) checks. Hatch can approve applications in less than five minutes. Once that process is complete, customers get a Mastercard virtual number and can link external bank accounts. Hatch also uses machine learning for real-time fraud and risk monitoring.
Nguyen said Hatch launched its overdraft coverage program because “we found it is a really great way for folks to get themselves out of a bind, finish the point sale and then top up their account later.”
If a business with a Hatch Business Checking account needs more working capital, it can apply for a Hatch Business Line of Credit, or loans between $200 to $5,000 at an APR of 18% to 24%. Hatch does not do hard credit checks and sees the credit lines as an alternative to the payday lenders or check cashers that customers without a FICO score or subprime ratings often use.
To screen loan applicants, Hatch uses information from their Business Checking accounts, including activity from connected point-of-sale systems. This allows Hatch to see real-time data and forecast a business’ potential forward revenue. It also enables the company to approve credit lines in as little as two hours.
“A hard credit check is actually quite difficult for recent immigrants or Americans who had trouble in their recent history. If you declare bankruptcy, it takes seven years to get it struck off your credit history,” said Nguyen. “To us, I think the more important factors are whether you actually have a business and whether that business is growing. We have a couple of examples of folks who declared bankruptcy three or four years ago, but they have a business that is booming and growing, and we’re happy to underwrite or originate that line of credit for them.”
But he emphasizes that Hatch, a signatory of the Small Business Owner’s Bill of Rights, does not see lending as a permanent solution and will not encourage its users to take on unnecessary debt.
“I think the reason we feel so strongly about this is that we want to win when our customers win,” Nguyen said. “If all we did was lending, then you would almost have a misalignment of incentives where you want to encourage lending retention. Given our business bank accounts and our revenue model, which is $10 a month and debit interchange, we really win when the business continues to exist. So for us, it’s almost a matter of building that financial independence for our customers.”
Hatch currently covers overdrafts and credit lines with its own balance sheet. “Because we’re using machine learning data to understand our own risk position, the main focus right now is to understand how businesses grow and model those products accordingly,” said Nguyen.
In an emailed statement, Kleiner Perkins partner Ilya Fushman told TechCrunch, “Small businesses account for nearly half of all economic activity in the U.S., but are often hamstrung by the banking ecosystem today. Hatch is democratizing access to the financial resources that small businesses need to start out and grow. Thomson and team are already working with thousands of SMBs and are uniquely suited with the technology and industry expertise to help them grow with the financial resources they need to be successful.”
In his statement about Foundation Capital’s investment, partner Charles Moldow said, “Our view at Foundation Capital is that the next phase of financial innovation is confluence: a coming together of lending and mobile banking. Hatch is a breaker wave of this movement for small businesses. That Thomson and his team were able to so rapidly stand up the only full-solution, mobile-first bank offering for SMBs is a testament to what they can and will accomplish.”
Since Hatch’s Series A, it has grown its team from eight people to 48, hiring remotely during the pandemic. Its plan is to expand its Business Checking accounts and continue building products for the estimated 40 million small businesses in the United States.
“When I think of the future products we can provide, it really centers around how do we make sure that a small business succeeds in starting up correctly and efficiently, and scaling their business,” said Nguyen. “Sometimes that’s financial products like our business accounts. Potentially, it could be software products that help you actually start that business. So there’s a wealth of different ideas and directions in which we can take Hatch.”
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You might think that a startup whose primary customers are tourism bureaus would have had a pretty rough 2020, but CEO Monir Parikh said Bandwango‘s customer base more than doubled in the past year, growing from 75 to 200.
In Parikh’s words, the Murray, Utah-based startup has built a platform called the Destination Experience Engine which is designed for “connecting businesses with communities.” That means bringing together offers from local restaurants, retailers, wineries, breweries, state parks and more into package deals — such as the Newport Beach Dine Pass and the Travel Iowa State Passport — which are then sold by tourism bureaus.
Obviously, the pandemic dealt a big blow to tourism, but in response, many of these organizations shifted focus to deals that could entice locals to support nearby businesses and attractions. Parikh predicted that even after the pandemic, tourism bureaus will continue to understand that “local-focused tourism is going to be part of the mix of what we do — locals are your ambassadors, they are the best organic marketing channel.”
Plus, Parikh said that as new privacy regulations make it harder to collect data about online visitors, it’s becoming more challenging for tourism bureaus “to prove to their funders that they’re having an economic impact.” So where bureaus were content in the past to advertise deals and then link out to other sites where customers could make the actual purchases, selling the deals themselves has become a new way to prove their worth.
Bandwango founder and CEO Monir Parikh. Image Credits: Bandwango
With last year’s growth, Bandwango has raised $3.1 million in seed funding led by Next Frontier Capital, with participation from Kickstart, Signal Peak Ventures, SaaS Ventures and Ocean Azul Partners. (The startup had previously raised only $700,000 in funding.)
Parikh said that until now, Bandwango has been a largely full-service option. The selling point, after all, is that the tourism bureaus already “have great relationships with these local businesses,” but the startup can handle the hard work of “trying to wrangle 200 of their local businesses” to offer deals and accept those deals in-store.
“Our mantra is: We become your back office,” he added. But with the new funding, he wants the startup to build a self-serve product as well. “What I say to my team is that a 90-year-old grandmother, as well as 12-year-old teenager, should be able to come into our platform and say, ‘I want to create a local savings program or an ale trail’ and do it end-to-end, without our assistance.”
And while Bandwango is currently focused on providing a white-label solution to its customers (rather than building a consumer deal destination of its own), Parikh said it will eventually distribute these deals more broadly by creating its own “private label brands.”
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One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources.
Today, the company announced a $6 million seed investment. Boston-based venture capital firm PJC led the round, with help from Innospark Ventures, Differential Ventures and Smart Global Holdings. Somel Investments, BDC Capital and Desjardins Capital also participated.
Nick Romano, CEO and co-founder at Deeplite, says the company aims to take complex deep neural networks that require a lot of compute power to run, tend to use up a lot of memory and can consume batteries at a rapid pace, and help them run more efficiently with fewer resources.
“Our platform can be used to transform those models into a new form factor to be able to deploy it into constrained hardware at the edge,” Romano explained. Those devices could be as small as a cell phone, a drone or even a Raspberry Pi, meaning that developers could deploy AI in ways that just wouldn’t be possible in most cases right now.
The company has created a product called Neutrino that lets you specify how you want to deploy your model and how much you can compress it to reduce the overall size and the resources required to run it in production. The idea is to run a machine learning application on an extremely small footprint.
Davis Sawyer, chief product officer and co-founder, says that the company’s solution comes into play after the model has been built, trained and is ready for production. Users supply the model and the data set and then they can decide how to build a smaller model. That could involve reducing the accuracy a bit if there is a tolerance for that, but chiefly it involves selecting a level of compression — how much smaller you can make the model.
“Compression reduces the size of the model so that you can deploy it on a much cheaper processor. We’re talking in some cases going from 200 megabytes down to on 11 megabytes or from 50 megabytes to 100 kilobytes,” Davis explained.
Rob May, who is leading the investment for PJC, says that he was impressed with the team and the technology the startup is trying to build.
“Deploying AI, particularly deep learning, on resource-constrained devices, is a broad challenge in the industry with scarce AI talent and know-how available. Deeplite’s automated software solution will create significant economic benefit as Edge AI continues to grow as a major computing paradigm,” May said in a statement.
The idea for the company has roots in the TandemLaunch incubator in Montreal. It launched officially as a company in mid-2019 and today has 15 employees, with plans to double that by the end of this year. As it builds the company, Romano says the founders are focused on building a diverse and inclusive organization.
“We’ve got a strategy that’s going to find us the right people, but do it in a way that is absolutely diverse and inclusive. That’s all part of the DNA of the organization,” he said.
When it’s possible to return to work, the plan is to have offices in Montreal and Toronto that act as hubs for employees, but there won’t be any requirement to come into the office.
“We’ve already discussed that the general approach is going to be that people can come and go as they please, and we don’t think we will need as large an office footprint as we may have had in the past. People will have the option to work remotely and virtually as they see fit,” Romano said.
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For a long time, “revenue” seemed to be a taboo word in the startup world. Fortunately, things have changed with the rise of SaaS and alternative funding sources such as revenue-based investing VCs. Still, revenue modeling remains a challenge for founders. How do you predict earnings when you are still figuring it out?
The answer is twofold: You need to make your revenue predictable, repeatable and scalable in the first place, plus make use of tools that will help you create projections based on your data. Here, we’ll suggest some ways you can get more visibility into your revenue, find the data that really matter and figure out how to put a process in place to make forecasts about it.
You need to make your revenue predictable, repeatable and scalable in the first place, plus make use of tools that will help you create projections based on your data.
Aaron Ross is a co-author of “Predictable Revenue,” a book based on his experience of creating a process and team that helped grow Salesforce’s revenue by more than $100 million. “Predictable” is the key word here: “You want growth that doesn’t require guessing, hope and frantic last-minute deal-hustling every quarter- and year-end,” he says.
This makes recurring revenue particularly desirable, though it is by no means the be-all-end-all of predictable revenue. On one hand, there is always the risk that recurring revenue won’t last, as customers may churn and organic growth runs out of gas. On the other, there is a broader picture for predictable revenue that goes beyond subscription-based models.
Ross and his co-author, Marylou Tyler, outline three steps to predictable revenue: predictable lead generation, a dedicated sales development team and consistent sales systems. They wrote an entire book about it, so it would be hard to sum it up here. So what’s the takeaway? You shouldn’t base your projections on processes and results that aren’t repeatable and scalable.
In their early days, startups usually grow via word of mouth, luck and sheer hustle. The problem is that it likely won’t lead to sustainable growth; as the saying goes, what got you here won’t get you there. In between, there is typically a phase of uncertainty and missed results that Ross refers to as “the hot coals.”
Before the hot coals, predicting revenue is vain at best, and oftentimes impossible. I, for one, remember being at a loss when an old-school investor asked me for five-year profit-and-loss projections when my now-defunct startup was nowhere near a stable money-making path. Not all seed investors expect this, so there was obviously a mismatch here, but the challenge is still the same for most founders: How do you bridge the gap between traditional projections and the reality of a startup?
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Justin Mast has a simple reason for starting his plant retail startup Bloomscape in Detroit.
“This is home,” he told me. “This is where I have a really strong network and I knew I’d be able to find a lot of support.”
Mast didn’t grow up in Detroit proper, but he’s from Grand Rapids, Michigan’s second-largest city. He recalled a weekend in Detroit after finishing graduate school at the University of Michigan in Ann Arbor, when he was “totally blown away” by the city’s energy.
And when it came time to launch Bloomscape in 2018, Mast said it made sense to do so from Detroit because of Michigan’s “strong heritage in the horticulture industry” — in floriculture, for example, it ranks as one of the biggest producers in the United States.
That heritage isn’t abstract to him. Mast said his family has been involved in the industry for five generations on his father’s side (including three generations in the Netherlands) and three generations on his mother’s. He worked in the family greenhouse as a child and even starting a roadside plant stand.
Image Credits: Bloomscape
“This was my version of a lemonade stand,” he said — albeit a lemonade stand that became popular enough that Mast needed to recruit his siblings for help, and that eventually provided him with enough money to buy a used car.
Bloomscape launched in 2018, and Mast said that from the beginning, the startup’s advantage was “to really know the ins and outs of the business.” That allowed Bloomscape to ship larger plants (like birds of paradise and Chinese fan palms), and more recently to expand with outdoor plants and garden “bloom kits.”
“By focusing on one of the least glamorized parts of this industry, the supply chain, we are able to design this process for shipping larger plants, at scale, throughout the country,” he said. “We’re shipping out tropical plants in the dead of winter, thousands of times a week, with a real high level of consistency. We know the plants really well, we how they perform, how they move through a supply chain, we know the nuances of FedEx and UPS, we know what growers are growing quality product.”
Bloomscape has raised a total of $24 million, most recently in a Series B last fall led by General Catalyst, with participation from Annox Capital’s Bob Mylod, Home Depot board member Jeff Boyd, former Seventh Generation and Burt’s Bees CEO John Replogle and existing investors Revolution Ventures and Ludlow Ventures.
Bloomscape bloom kits. Image Credits: Bloomscape
When I asked whether investors had ever pressured him to move the startup to Silicon Valley, Mast said, “We’ve had successful funding rounds, but even in most successful rounds, not everyone’s going to be the right fit.” So it sounds like the issue came up, but Mast made sure that everyone who actually invested saw the startup’s location as an advantage, or at least “if they saw it as a disadvantage, they were willing to overlook it.”
Nor has the location proven to be an issue when it comes to hiring. Mast said the company successfully lured Aaron Averbuch (formerly based in Seattle and a vice president of engineering at Placed and Snap) to Detroit to become CTO. He also noted that Detroit is close to the University of Michigan, and that “all the schools in Chicago and Pittsburgh are within a few hours’ drive.”
Mast added that the last six months have been “a particularly exciting time” to run a startup in Detroit, with the success of companies like StockX, Floyd and Autobooks.
“We’re thrilled to be here,” he said.
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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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