SK Telecom
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We don’t often cover telecom technology startups, but it’s periodically worth checking in to see what’s happening in that space. We can get a good indication from the latest cohort to emerge from an accelerator associated with South Korea’s largest wireless carrier, SK Telecom.
This group of startups will join the Telecom Infra Project accelerator in South Korea, which is part of a global program of telecoms specialist centers, and run in partnership with SK Telecom.
The cohort includes a ship-berthing monitoring system; an app that turns a group of mobile phones into a TV studio; an AI-powered indoor positioning system, which creates interactive maps; a vision system for delivery robots; and one which allows remote audiences to experience live events “together” via a digital stadium.
The selected startups include:
Dabeeo: Dabeeo’s AI-powered indoor positioning system uses vision data produced through smartphone cameras to create interactive maps, used for gaming, marketing and logistics. Crunchbase
Neubility: Neubility develops vision-based localization and path planning technologies for last-mile delivery robots. Crunchbase
Seadronix: Seadronix is a computer vision-based ship-parking-monitoring solution that provides an AI-based berthing-monitoring system. Crunchbase
39 degrees C: This is a mobile multi-camera live-streaming app. It directly connects multiple smartphone feeds to each other using a technology called WiFi-Direct — turning them into a TV studio. Crunchbase
Kiswe: Kiswe is a supplier of entertainment broadcast technology. Its product, CloudCast, is a “Broadcast Studio in the Cloud,” which enables partners to send a digital feed into the cloud to produce live and non-live content. Its other product, Hangtime, allows remote audiences to experience live events “together” through creating a digital stadium with chat rooms, and provides control over viewing angles from within the platform. Crunchbase
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A lot of the attention in medical technology today has been focused on tools and innovations that might help the world better fight the COVID-19 global health pandemic. Today comes news of another startup that is taking on some funding for a disruptive innovation that has the potential to make both COVID-19 as well as other kinds of clinical assessments more accessible.
Nanox, a startup out of Israel that has developed a small, low-cost scanning system and “medical screening as a service” to replace the costly and large machines and corresponding software typically used for X-rays, CAT scans, PET scans and other body imaging services, is today announcing that it has raised $20 million from a strategic investor, South Korean carrier SK Telecom.
SK Telecom in turn plans to help distribute physical scanners equipped with Nanox technology as well as resell the pay-per-scan imaging service, branded Nanox.Cloud, and corresponding 5G wireless network capacity to operate them. Nanox currently licenses its tech to big names in the imaging space, like FujiFilm, and Foxconn is also manufacturing its donut-shaped Nanox.Arc scanners.
The funding is technically an extension of Nanox’s previous round, which was announced earlier this year at $26 million with backing from Foxconn, FujiFilm and more. Nanox says that the full round is now closed off at $51 million, with the company having raised $80 million since launching almost a decade ago, in 2011.
Nanox’s valuation is not being publicly disclosed, but a news report in the Israeli press from December said that one option the startup was considering was an IPO at a $500 million valuation. We understand from sources that the valuation is about $100 million higher now.
The Nanox system is based around proprietary technology related to digital X-rays. Digital radiography is a relatively new area in the world of imaging that relies on digital scans rather than X-ray plates to capture and process images.
Nanox says the ARC comes in at 70 kg versus 2,000 kg for the average CT scanner, and production costs are around $10,000 compared to $1-3 million for the CT scanner.
But in addition to being smaller (and thus cheaper) machines with much of the processing of images done in the cloud, the Nanox system, according to CEO and founder Ran Poliakine, can make its images in a tiny fraction of a second, making them significantly safer in terms of radiation exposure compared to existing methods.
Imaging has been in the news a lot of late because it has so far been one of the most accurate methods for detecting the progress of COVID-19 in patients or would-be patients in terms of how it is affecting patients’ lungs and other organs. While the dissemination of equipment like Nanox’s definitely could play a role in handling those cases better, the ultimate goal of the startup is much wider than that.
Ultimately, the company hopes to make its devices and cloud-based scanning service ubiquitous enough that it would be possible to run early detection, preventative scans for a much wider proportion of the population.
“What is the best way to fight cancer today? Early detection. But with two-thirds of the world without access to imaging, you may need to wait weeks and months for those scans today,” said Poliakine.
The startup’s mission is to distribute some 15,000 of its machines over the next several years to bridge that gap, and it’s getting there through partnerships. In addition to the SK Telecom deal it’s announcing today, last March, Nanox inked a $174 million deal to distribute 1,000 machines across Australia, New Zealand and Norway in partnership with a company called the Gateway Group.
The SK Telecom investment is an interesting development that underscores how carriers see 5G as an opportunity to revisit what kinds of services they resell and offer to businesses and individuals, and SK Telecom specifically has singled out healthcare as one obvious and big opportunity.
“Telecoms carriers are looking for opportunities around how to sell 5G,” said Ilung Kim, SK Telecom’s president, in an interview. “Now you can imagine a scanner of this size being used in an ambulance, using 5G data. It’s a game changer for the industry.”
Looking ahead, Nanox will continue to ink partnerships for distributing its hardware and reselling its cloud-based services for processing the scans, but Poliakine said it does not plan to develop its own technology beyond that to gain insights from the raw data. For that, it’s working with third parties — currently three AI companies — that plug into its APIs, and it plans to add more to the ecosystem over time.
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Microsoft today announced the launch of Azure Edge Zones, which will allow Azure users to bring their applications to the company’s edge locations. The focus here is on enabling real-time low-latency 5G applications. The company is also launching a version of Edge Zones with carriers (starting with AT&T) in preview, which connects these zones directly to 5G networks in the carrier’s data center. And to round it all out, Azure is also getting Private Edge Zones for those who are deploying private 5G/LTE networks in combination with Azure Stack Edge.
In addition to partnering with carriers like AT&T, as well as Rogers, SK Telecom, Telstra and Vodafone, Microsoft is also launching new standalone Azure Edge Zones in more than 10 cities over the next year, starting with LA, Miami and New York later this summer.
“For the last few decades, carriers and operators have pioneered how we connect with each other, laying the foundation for telephony and cellular,” the company notes in today’s announcement. “With cloud and 5G, there are new possibilities by combining cloud services, like compute and AI with high bandwidth and ultra-low latency. Microsoft is partnering with them bring 5G to life in immersive applications built by organization and developers.”
This may all sound a bit familiar, and that’s because only a few weeks ago, Google launched Anthos for Telecom and its Global Mobile Edge Cloud, which at first glance offers a similar promise of bringing applications close to that cloud’s edge locations for 5G and telco usage. Microsoft argues that its offering is more comprehensive in terms of its partner ecosystem and geographic availability. But it’s clear that 5G is a trend all of the large cloud providers are trying to tap into. Microsoft’s own acquisition of 5G cloud specialist Affirmed Networks is yet another example of how it is looking to position itself in this market.
As far as the details of the various Edge Zone versions go, the focus of Edge Zones is mostly on IoT and AI workloads, while Microsoft notes that Edge Zones with Carriers is more about low-latency online gaming, remote meetings and events, as well as smart infrastructure. Private Edge Zones, which combine private carrier networks with Azure Stack Edge, is something only a small number of large enterprise companies would likely to look into, given the cost and complexity of rolling out a system like this.
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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.
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“Food, housing, healthcare, transportation. Life essentials made better and more affordable.” These are the types of startups that partner Paul Buchheit said were demoing today at Y Combinator’s Winter 2016 Demo Day 2. Yesterday, we covered the first 60 startups from the batch, and picked our 7 favorites. Plus, check out our picks for the top 8 startups from these 59.… Read More
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