Tel Aviv
Auto Added by WPeMatico
Auto Added by WPeMatico
A lot of the focus in online education — and, let’s face it, education overall — has been about professional development for knowledge workers, education for K-12 and how best to deliver cost-effective, engaging higher learning to those in college and beyond. But in what might be a sign of the times, today a startup that’s focused on e-learning and the subsequent job market for a completely different end of the spectrum — home services — is announcing some funding to continue building out its business in earnest.
Nana, which runs a free academy to teach people how to fix appliances, and then gives students the option of becoming a part of its own marketplace to connect them to people needing repairs — has picked up $6 million.
The seed round is being led by Shripriya Mahesh of Spero Ventures; Next Play Ventures (ex-LinkedIn CEO Jeff Weiner’s new fund), Lachy Groom, Scott Belsky, Geoff Donaker of Burst Capital and Michael Staton of Learn Capital are among those also participating.
Nana has now raised $10.7 million, with past backers including Alpha Bridge Ventures, Bob Lee and the Uber Syndicate, an investment vehicle to back Uber alums in new ventures. Founder and CEO David Zamir is not actually an Uber alum, but one of his first employees, VP of Engineering Oliver Nicholas is an early Uber engineer and the company has also found a lot of traction of Uber drivers this year, after many found themselves out of work after the chilling effect that the pandemic had on ridesharing.
Nana — full name Nana Technologies (and not to be confused with Nana Technology, tech built for older adults) — is partly a labor/future of work play, partly an educational play, partly a tech/IoT play and partly an ecological play, in the eyes of Zamir, who himself trained as an appliance repairperson, running his own successful business in the Bay Area before pivoting it into a training platform and marketplace.
“There are 5.9 million tons of municipal solid waste [which includes lots of electronics like washing machines, blenders and everything in between] in the U.S.,” he said in an interview, “and only 50% of that is capable of getting recycled. We’re in a vicious cycle with appliances, and it’s partly because there aren’t enough people with the knowledge to repair them. But what if you had the liquidity to do that? We’re talking about creating jobs, but also saving the environment.”
Nana’s proposition starts with free lessons to fix a range of appliances — currently dishwashers, refrigerators, ovens, stoves, washers and dryers — and their typical breakdown/poor performance issues to anyone who wants to know how to repair them. These classes are available to anyone — an individual simply interested in learning how to fix a machine, but more likely someone looking to pick up a skill and then use it to make some money.
Once you take and pass a course — currently remote — you have the option (but not requirement) to register on Nana’s platform to become a repair person who picks up jobs through it to get jobs fixing that particular issue. Nana already has partnerships with major appliance and warranty companies, including GE, Miele, Samsung, Assurant, Cinch and First American Home Warranty, so this is how it gets most of its work in, but it also accepts direct requests from consumers for repair of dishwashers, refrigerators, ovens, stoves, washers and dryers.
Over time, Zamir said, the plan is not just to take in jobs and send out technicians to fix things in an Uber-style dispatch service — but to expand it to fit the kinds of next-generation appliances that are being built today, with IoT diagnostic monitoring and helping also to integrate these appliances into connected homes. It also seems to be slowly expanding into other home services too, alongside appliance repair (which remains its main business).
Nana has to date registered hundreds of technicians in 12 markets across the U.S. and said it expects to expand to 20 markets by the end of 2021.
Nana has an unlikely founder story that speaks to how so much of the tech world is still about hustle and finding opportunities in the margins.
Founder and CEO David Zamir hails from Israel, but unlike many of the transplants you may come across from there to the Bay Area tech world, he’s not a tech guy by education, training or work experience. He used to run clothing stores in Tel Aviv and vaguely liked the idea of being involved in a tech business at some point — Israel loves to call itself “startup nation,” so that bug is bound to bite even those who don’t study computer science or engineering — but he didn’t know what to do or where to begin.
“The clothing business didn’t make much money,” he said. So after a period Zamir and his American wife decided to move to the U.S. and try their luck there.
While initially based on the east coast near her family and wondering about what kind of job to pursue, Zamir spoke with a friend of his in Toronto who was working as an independent tradesperson fixing appliances, and the friend suggested this as an option, at least for a while.
“So I hopped on an airplane to shadow my friend,” he recalled. “The lightbulb went off. I thought, I should do this in San Francisco,” where he had been wanting to move to crack in to the tech world, somehow. “I thought that I’d start with fixing appliances while I figured out how to find my way into tech.”
That turned into more than a temporary income stopgap, of course. After finding that his business was taking off, Zamir saw that technology would be the avenue to growing it.
He was helped in part to build the idea and the business through his grit. Josh Elman, the famous tech investor, complained about a broken dryer back in April, and asked the Twitter hive mind whether he should get a new one or go through the pain of fixing it. Someone flagged the question to Zamir, who reached out and connected Elman with one of Nana’s online teaching technicians. Twelve hours later, Elman’s drier was diagnosed (by Elman), on its way to getting fixed, and Elman signed on as an advisor to the company.
The world of tech is all about building new things and solving problems, with “breaking” being more synonymous with disruption (= “good”) and fearlessness (see: Facebook’s old mantra to its early employees to move fast and break things). But behind that, there is an interesting disconnect between the tech version of “broken” and objects that are actually “broken” in the real world.
Many of us these days find using apps and other digital interfaces second-nature, but most of us would have no idea how to repair or work with much more basic electronic systems. And nor do most of us want to. More often than not, we give up on it, decide it’s not worth fixing and click on Amazon et al. to get a new shiny object.
Looked at on a wider scale, this is actually a big problem.
Electronics can be recycled, but in reality only about half the materials can be usefully reused. Meanwhile, Nana estimates that the appliance repair market is a $4 billion opportunity, with some 80 million appliances in need of being serviced annually in the U.S. But currently there are only some 31,000 trained technicians in the market. Nana estimates that to meet the demand of growing numbers, an additional 28,000 new technicians will be needed by 2025.
At the same time, the move to automation in many skilled labor jobs is putting people out of work: research from the Brookings Institution estimates that some 30 million people will lose their jobs in coming years because of it.
The idea here is that a platform like Nana can help some of those people retrain to fill the gap for appliance technicians, while at the same time extending the life of people’s appliances in a less painful way — putting less stuff into landfill — while at the same time expanding knowledge for anyone who cares for it.
Zamir said that Nana was named after his mother, who raised David as a single parent after his father passed away, a reference to working hard and being practical.
That sentimentality seems to motivate him in a bigger way, too: Zamir himself is a guy with a lot of heart and emotion vested into the concept of his startup. When I told him an anecdote of how our dishwasher broke down earlier this year and both a customer service rep from the maker (Siemens) and a separate repair person advised me to replace it, he got visibly agitated over our video call, as if the subject was something political or significantly more grave than a story about a dishwasher.
“I am not a supporter of what they told you,” he said in an angry voice. “It’s really upsetting me.” (I calmed him down a little, I think, when I told him that I myself uninstalled the broken dishwasher and installed the new one myself, because COVID.)
Zamir said that there are no plans to charge for its academy courses, nor to tie people into signing up with Nana to work once they take the courses. The fact that it provides a lot of inbound jobs attracts enough turnover — between 40% and 60% of those taking courses stay on to work when they took in-person classes, and for now the online figures are between 15% and 35%.
“It’s still early days,” he said, “but we’re finding the take up impressive… Most want to participate in the marketplace.” He says that there are other call-out services where they could register, but the tech that Nana has built makes its system more efficient, and that means better returns.
All of this has played well with those who have become Nana’s investors. People like Jeff Weiner — who in his time as CEO of LinkedIn led the company to acquire Lynda as part of a bigger emphasis on the importance of skills training and education — see the opportunity and need to provide an equivalent platform not just for knowledge workers but those who have more manual jobs, too.
“We are excited by Nana’s vision of providing training, access and opportunity for rewarding, satisfying work while also filling a critical gap in our economy,” said Shripriya Mahesh of Spero Ventures, in a statement. “Nana has created a new, scalable approach to giving people the agency, tools and support systems they need to build new skills and pursue fulfilling work opportunities.”
The round was oversubscribed in the end, and Nana shouldn’t find it too hard to raise again if it sticks to its plan and the market continues to grow as it has. That does not seem to be the motivation for Zamir, though.
“We just think it’s super important to build Nana for the people,” he said.
Powered by WPeMatico
Dataloop, a Tel Aviv-based startup that specializes in helping businesses manage the entire data life cycle for their AI projects, including helping them annotate their data sets, today announced that it has now raised a total of $16 million. This includes a $5 seed round that was previously unreported, as well as an $11 million Series A round that recently closed.
The Series A round was led by Amiti Ventures, with participation from F2 Venture Capital, crowdfunding platform OurCrowd, NextLeap Ventures and SeedIL Ventures.
“Many organizations continue to struggle with moving their AI and ML projects into production as a result of data labeling limitations and a lack of real-time validation that can only be achieved with human input into the system,” said Dataloop CEO Eran Shlomo. “With this investment, we are committed, along with our partners, to overcoming these roadblocks and providing next generation data management tools that will transform the AI industry and meet the rising demand for innovation in global markets.”
For the most part, Dataloop specializes in helping businesses manage and annotate their visual data. It’s agnostic to the vertical its customers are in, but we’re talking about anything from robotics and drones to retail and autonomous driving.
The platform itself centers around the “humans in the loop” model that complements the automated systems, with the ability for humans to train and correct the model as needed. It combines the hosted annotation platform with a Python SDK and REST API for developers, as well as a serverless Functions-as-a-Service environment that runs on top of a Kubernetes cluster for automating dataflows.
The company was founded in 2017. It’ll use the new funding to grow its presence in the U.S. and European markets, something that’s pretty standard for Israeli startups, and build out its engineering team as well.
Powered by WPeMatico
Varada, a Tel Aviv-based startup that focuses on making it easier for businesses to query data across services, today announced that it has raised a $12 million Series A round led by Israeli early-stage fund MizMaa Ventures, with participation by Gefen Capital.
“If you look at the storage aspect for big data, there’s always innovation, but we can put a lot of data in one place,” Varada CEO and co-founder Eran Vanounou told me. “But translating data into insight? It’s so hard. It’s costly. It’s slow. It’s complicated.”
That’s a lesson he learned during his time as CTO of LivePerson, which he described as a classic big data company. And just like at LivePerson, where the team had to reinvent the wheel to solve its data problems, again and again, every company — and not just the large enterprises — now struggles with managing their data and getting insights out of it, Vanounou argued.
The rest of the founding team, David Krakov, Roman Vainbrand and Tal Ben-Moshe, already had a lot of experience in dealing with these problems, too, with Ben-Moshe having served at the chief software architect of Dell EMC’s XtremIO flash array unit, for example. They built the system for indexing big data that’s at the core of Varada’s platform (with the open-source Presto SQL query engine being one of the other cornerstones).
Essentially, Varada embraces the idea of data lakes and enriches that with its indexing capabilities. And those indexing capabilities is where Varada’s smarts can be found. As Vanounou explained, the company is using a machine learning system to understand when users tend to run certain workloads, and then caches the data ahead of time, making the system far faster than its competitors.
“If you think about big organizations and think about the workloads and the queries, what happens during the morning time is different from evening time. What happened yesterday is not what happened today. What happened on a rainy day is not what happened on a shiny day. […] We listen to what’s going on and we optimize. We leverage the indexing technology. We index what is needed when it is needed.”
That helps speed up queries, but it also means less data has to be replicated, which also brings down the cost. As MizMaa’s Aaron Applbaum noted, since Varada is not a SaaS solution, the buyers still get all of the discounts from their cloud providers, too.
In addition, the system can allocate resources intelligently so that different users can tap into different amounts of bandwidth. You can tell it to give customers more bandwidth than your financial analysts, for example.
“Data is growing like crazy: in volume, in scale, in complexity, in who requires it and what the business intelligence uses are, what the API uses are,” Applbaum said when I asked him why he decided to invest. “And compute is getting slightly cheaper, but not really, and storage is getting cheaper. So if you can make the trade-off to store more stuff, and access things more intelligently, more quickly, more agile — that was the basis of our thesis, as long as you can do it without compromising performance.”
Varada, with its team of experienced executives, architects and engineers, ticked a lot of the company’s boxes in this regard, but he also noted that unlike some other Israeli startups, the team understood that it had to listen to customers and understand their needs, too.
“In Israel, you have a history — and it’s become less and less the case — but historically, there’s a joke that it’s ‘ready, fire, aim.’ You build a technology, you’ve got this beautiful thing and you’re like, ‘alright, we did it,’ but without listening to the needs of the customer,” he explained.
The Varada team is not afraid to compare itself to Snowflake, which at least at first glance seems to make similar promises. Vananou praised the company for opening up the data warehousing market and proving that people are willing to pay for good analytics. But he argues that Varada’s approach is fundamentally different.
“We embrace the data lake. So if you are Mr. Customer, your data is your data. We’re not going to take it, move it, copy it. This is your single source of truth,” he said. And in addition, the data can stay in the company’s virtual private cloud. He also argues that Varada isn’t so much focused on the business users but the technologists inside a company.
Powered by WPeMatico
Adaptive Shield, a Tel Aviv-based security startup, is coming out of stealth today and announcing its $4 million seed round led by Vertex Ventures Israel. The company’s platform helps businesses protect their SaaS applications by regularly scanning their various setting for security issues.
The company’s co-founders met in the Israeli Defense Forces, where they were trained on cybersecurity, and then worked at a number of other security companies before starting their own venture. Adaptive Shield CEO Maor Bin, who previously led cloud research at Proofpoint, told me the team decided to look at SaaS security because they believe this is an urgent problem few other companies are addressing.
Pictured is a representative sample of nine apps being monitored by the Adaptive Shield platform, including the total score of each application, affected categories and affected security frameworks and standards. (Image Credits: Adaptive Shield)
“When you look at the problems that are out there — you want to solve something that is critical, that is urgent,” he said. “And what’s more critical than business applications? All the information is out there and every day, we see people moving their on-prem infrastructure into the cloud.”
Bin argues that as companies adopt a large variety of SaaS applications, all with their own security settings and user privileges, security teams are often either overwhelmed or simply not focused on these SaaS tools because they aren’t the system owners and may not even have access to them.
“Every enterprise today is heavily using SaaS services without addressing the associated and ever-changing security risks,” says Emanuel Timor, general partner at Vertex Ventures Israel . “We are impressed by the vision Adaptive Shield has to elegantly solve this complex problem and by the level of interest and fast adoption of its solution by customers.”
Onboarding is pretty easy, as Bin showed me, and typically involves setting up a user in the SaaS app and then logging into a given service through Adaptive Shield. Currently, the company supports most of the standard SaaS enterprise applications you would expect, including GitHub, Office 365, Salesforce, Slack, SuccessFactors and Zoom.
“I think that one of the most important differentiators for us is the amount of applications that we support,” Bin noted.
The company already has paying customers, including some Fortune 500 companies across a number of verticals, and it has already invested some of the new funding round, which closed before the global COVID-19 pandemic hit, into building out more integrations for these customers. Bin tells me that Adaptive Shield immediately started hiring once the round closed and is now also in the process of hiring its first employee in the U.S. to help with sales.
Powered by WPeMatico
Buildots, a Tel Aviv and London-based startup that is using computer vision to modernize the construction management industry, today announced that it has raised $16 million in total funding. This includes a $3 million seed round that was previously unreported and a $13 million Series A round, both led by TLV Partners. Other investors include Innogy Ventures, Tidhar Construction Group, Ziv Aviram (co-founder of Mobileye & OrCam), Magma Ventures head Zvika Limon, serial entrepreneurs Benny Schnaider and Avigdor Willenz, as well as Tidhar chairman Gil Geva.
The idea behind Buildots is pretty straightforward. The team is using hardhat-mounted 360-degree cameras to allow project managers at construction sites to get an overview of the state of a project and whether it remains on schedule. The company’s software creates a digital twin of the construction site, using the architectural plans and schedule as its basis, and then uses computer vision to compare what the plans say to the reality that its tools are seeing. With this, Buildots can immediately detect when there’s a power outlet missing in a room or whether there’s a sink that still needs to be installed in a kitchen, for example.
“Buildots have been able to solve a challenge that for many seemed unconquerable, delivering huge potential for changing the way we complete our projects,” said Tidhar’s Geva in a statement. “The combination of an ambitious vision, great team and strong execution abilities quickly led us from being a customer to joining as an investor to take part in their journey.”
The company was co-founded in 2018 by Roy Danon, Aviv Leibovici and Yakir Sundry. Like so many Israeli startups, the founders met during their time in the Israeli Defense Forces, where they graduated from the Talpiot unit.
“At some point, like many of our friends, we had the urge to do something together — to build a company, to start something from scratch,” said Danon, the company’s CEO. “For us, we like getting our hands dirty. We saw most of our friends going into the most standard industries like cloud and cyber and storage and things that obviously people like us feel more comfortable in, but for some reason we had like a bug that said, ‘we want to do something that is a bit harder, that has a bigger impact on the world.’ ”
So the team started looking into how it could bring technology to traditional industries like agriculture, finance and medicine, but then settled upon construction thanks to a chance meeting with a construction company. For the first six months, the team mostly did research in both Israel and London to understand where it could provide value.
Danon argues that the construction industry is essentially a manufacturing industry, but with very outdated control and process management systems that still often relies on Excel to track progress.
Construction sites obviously pose their own problems. There’s often no Wi-Fi, for example, so contractors generally still have to upload their videos manually to Buildots’ servers. They are also three dimensional, so the team had to develop systems to understand on what floor a video was taken, for example, and for large indoor spaces, GPS won’t work either.
The teams tells me that before the COVID-19 lockdowns, it was mostly focused on Israel and the U.K., but the pandemic actually accelerated its push into other geographies. It just started work on a large project in Poland and is scheduled to work on another one in Japan next month.
Because the construction industry is very project-driven, sales often start with getting one project manager on board. That project manager also usually owns the budget for the project, so they can often also sign the check, Danon noted. And once that works out, then the general contractor often wants to talk to the company about a larger enterprise deal.
As for the funding, the company’s Series A round came together just before the lockdowns started. The company managed to bring together an interesting mix of investors from both the construction and technology industries.
Now, the plan is to scale the company, which currently has 35 employees, and figure out even more ways to use the data the service collects and make it useful for its users. “We have a long journey to turn all the data we have into supporting all the workflows on a construction site,” said Danon. “There are so many more things to do and so many more roles to support.”
Powered by WPeMatico
Hunters, a Tel Aviv-based cybersecurity startup that helps enterprises defend themselves from intruders and analyze attacks, today announced that it has raised a $15 million Series A funding round from Microsoft’s M12 and U.S. Venture Partners. Seed investors YL Ventures and Blumberg Captial also participated in this round, as well as new investor Okta Ventures, the venture arm of identity provider Okta. With this, Hunters has now raised a total of $20.4 million.
The company’s SaaS platform basically automates the threat-hunting processes, which has traditionally been a manual process. The general idea here is to take as much data from an enterprise’s various networking and security tools to detect stealth attacks.
“Hunters is basically this layer, a cognitive layer or connective tissue that you put on top of your telemetry stack,” Hunters co-founder and CEO Uri May told me. “So you have your [endpoint detection and response], your firewalls, cloud, production environment sensors — and all of those are shooting telemetry and detections all over the organization, generating huge amounts of data. And, basically, our place in the world depends on our ability to generate that delta. So without being able to find things that you can’t see with a single point solution or without really expediting response procedures and workflows by correlating things in a nontrivial way, we don’t have any excuse to exist. But we got pretty good at those — at showing that delta — and we onboarded customers — nice logos — and that was a very strong validation.”
Hunters’ first customer was actually data management service Snowflake, which functioned as the company’s design partner. In addition to being a customer, Snowflake now also features Hunters in its partner marketplace, as does security service CrowdStrike. May also noted that Crowdstrike is a good example for the kind of customer Hunters is going after.
“Not necessarily Global 2000 or Fortune 500. It’s really high-end mid-market organizations, not necessarily tens of thousand employees, but billions of dollars in revenues, a lot of value at risk, born to the cloud, super mature tech stack, not necessarily a big security operation center, but definitely CISO and a team of security engineers and analysts, and they’re looking for the solution, that on-top solution that can make sense of a lot of the data and give them the confidence and also give them results in terms of cybersecurity, posture and their detection and response capabilities.”
Microsoft already has a large security development center in Israel and so it’s no surprise that Hunters appeared on the company’s radar. Hunters also spent some time proactively looking at the Microsoft ecosystem, May told me, but the company’s VCs also made some introductions. All of this culminated in a number of meetings at the Tel Aviv CyberTech conference in January and the RSA Conference in San Francisco in February, just before the coronavirus pandemic essentially shut down travel.
Hunters says it will use the new funding to build out its go-to-market capabilities in the U.S. and expand its R&D team in Israel. As for the product itself, the company will look to broaden its product integration and machine learning capabilities to help it generate better attack stories. May also noted that it plans to give its users capabilities to customize the system for their needs by allowing them to develop their own signals and detections to augment the company’s default tools. This, May argued, will allow the company to go after higher-end enterprise customers that already have threat-hunting teams but that are looking to automate more of the process. With that, it will also look to partner with other security firms to leverage its system to provide better services to their customers as well.
Powered by WPeMatico
Orca Security, an Israeli cloud security firm that focuses on giving enterprises better visibility into their multi-cloud deployments on AWS, Azure and GCP, today announced that it has raised a $20 million Series A round led by GGV Capital. YL Ventures and Silicon Valley CISO Investments also participated in this round. Together with its seed investment led by YL Ventures, this brings Orca’s total funding to $27 million.
One feature that makes Orca stand out is its ability to quickly provide workload-level visibility without the need for an agent or network scanner. Instead, Orca uses low-level APIs that allow it to gain visibility into what exactly is running in your cloud.
The founders of Orca all have a background as architects and CTOs at other companies, including the likes of Check Point Technologies, as well as the Israeli army’s Unit 8200. As Orca CPO and co-founder Gil Geron told me in a meeting in Tel Aviv earlier this year, the founders were looking for a big enough problem to solve and it quickly became clear that at the core of most security breaches were misconfigurations or the lack of security tools in the right places. “What we deduced is that in too many cases, we have the security tools that can protect us, but we don’t have them in the right place at the right time,” Geron, who previously led a security team at Check Point, said. “And this is because there is this friction between the business’ need to grow and the need to have it secure.”
Orca delivers its solution as a SaaS platform and on top of providing work level visibility into these public clouds, it also offers security tools that can scan for vulnerabilities, malware, misconfigurations, password issues, secret keys in personally identifiable information.
“In a software-driven world that is moving faster than ever before, it’s extremely difficult for security teams to properly discover and protect every cloud asset,” said GGV managing partner Glenn Solomon . “Orca Security’s novel approach provides unparalleled visibility into these assets and brings this power back to the CISO without slowing down engineering.”
Orca Security is barely a year and a half old, but it also counts companies like Flexport, Fiverr, Sisene and Qubole among its customers.
Powered by WPeMatico
Quantum Machines, a Tel Aviv-based startup that is building both hardware and software to operate quantum computers, today announced that it has raised a $17.5 million Series A funding round. The round was led by Israeli tech entrepreneur Avigdor Willenz (who, among other companies, co-founded Habana Labs and Anapurna Labs and sold them to Intel and Amazon, respectively) and Harel Insurance Investments.
TLV Partners and Battery Ventures also participated in this round. TLV Partners also led the company’s $5.5 million seed round in 2018, in which Battery Partners also participated.
“The race to commercial quantum computers is one of the most exciting technological challenges of our generation,” said Willenz. “Our goal at [Quantum Machines] is to make this happen faster than anticipated and establish ourselves as a key player in this emerging industry.”
The company says it will use the new funding to accelerate the adoption of its Quantum Orchestration Platform. This platform went live earlier this year. What makes it unique is that it’s a combination of custom hardware, which the company designed itself, and software tools that can be used to control virtually any quantum processor. To control a quantum processor, you also need a powerful classical computer, but traditional computers are ill-suited for this task, Quantum Machines argues, and it’ll take specialized hardware for classical computing to harness the power of quantum computing and run complex algorithms on these machines.
“The classical layers of the quantum computer are the real unmet need. They are the bottleneck,” Quantum Machines co-founder Itamar Sivan told me when the platform launched. “We were really looking into what is holding the industry back. What are the things that we can do today to drive this industry forward, but that will also enable faster progress in the future. Since most of the focus in the last years has been devoted to quantum processors, it was only natural that you know we take on this challenge.”
Powered by WPeMatico
It’s not enough for an autonomous vehicle to see the world around it. These vehicles need to understand in real time what they’re seeing.
That understanding piece is critical, and it requires being able to identify objects in real time and in any environmental condition. It can mean the difference between an autonomous vehicle that appropriately notices and ignores a plastic bag floating by and one that slams on its brakes.
Tel Aviv-based startup Arbe has developed a high-resolution radar chipset that it says is a game changer for the automotive industry. Now, with a fresh injection of $32 million in capital, it’s pushing to bring it into production and into the hands of Tier 1 suppliers.
Arbe said Monday that it has raised $32 million in a Series B funding round from a number of new investors, including BAIC Capital, Catalyst CEL, MissionBlue Capital and AI Alliance, a joint venture fund that includes Hyundai, SK Telecom and Hanwha Asset Management. Existing investors Canaan Partners Israel, iAngels, 360 Capital Partners, O.G. Tech Ventures and OurCrowd also participated.
Arbe will use the capital to hire more employees. But its big focus in the coming year is to bring its radar systems into full production.
“With the funds raised, Arbe will continue to deploy to the market a real breakthrough in radar technology that empowers Tier 1 automakers and OEMs to finally replace their legacy chipsets with one that truly meets the safety requirements of NCAP and ADAS for years ahead,” CEO Kobi Marenko said in a statement.
Arbe already has five Tier 1 customers — two in China and three in Europe, Marenko told TechCrunch. Marenko wouldn’t name the suppliers.
Arbe developed a high-resolution radar chipset designed to help autonomous vehicles, and even passenger vehicles equipped with advanced driver assistance systems, detect and identify objects. The technology can separate, identify and track hundreds of objects in high horizontal and vertical resolution to a long range in a wide field of view. Arbe says its radar chipset generates an image 100 times more detailed than any other solution on the market today. The system is then able to take those images and simultaneously localize and map the environment.
The high-resolution radar chipset resolves a number of issues found in legacy chipsets, Marenko said, including eliminating false alarms. Arbe’s chipsets also can in real time process massive amounts of information generated by 4D imaging, and mitigate mutual radar interference. A radar system that has high-resolution object separation in azimuth and elevation will theoretically lead to more accurate decision making.
Arbe is so confident in its radar chipset that Marenko says it will enable Level 3 automation in passenger vehicles without requiring lidar, or light detection and ranging radar. Level 3 is a designation by SAE that means conditional automation in which a driver must still be prepared to intervene.
Powered by WPeMatico
London and Tel Aviv based VC firm 83North has closed out its fifth fund at $300 million, as we reported earlier. It last raised a $250 million fund in 2017 and expects to continue the same investment mix, while tracking developments in emerging areas like healthcare AI and autonomous vehicles.
In a conversation with general partner Laurel Bowden, the veteran investor shared a few further thoughts with Extra Crunch — talking about the tech scene in Europe vs Israel, what the firm looks for in a team and tips on scaling globally.
The interview has been lightly edited for clarity.
TechCrunch: Is Europe starting to catch up to Israel when it comes to deep tech startups?
Laurel Bowden: We clearly think we have in our portfolio some deep tech. And in other VC portfolios too — there’s clearly some deep tech [coming out of Europe]. And then on the reverse side you’ve seen more consumer-related stuff coming out of Israel. But still if you take a blanket look, we see more data infrastructure, security, storage coming out of Israel than we see in Europe — that’s for sure.
Powered by WPeMatico