Internet of Things
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Arm acquires data management service Treasure Data to bolster its IoT platform
Arm, the semiconductor firm you probably still remember as ARM, today announced that it has acquired Treasure Data, a data management platform for large enterprise customers. The companies didn’t announce the financial details of the transaction, but earlier reporting by Bloomberg pegged the price at $600 million.
This move strengthens Arm’s IoT nascent play, given that Treasure Data’s specialty is dealing with the large streams of data that these systems produce (as well as data from CRM, e-commerce systems and other third-party services).
This move follows Arm’s recent acquisition of Stream and indeed, the company calls the acquisition of Treasure Data “the final piece” of its “IoT enablement puzzle.” The result of this completed puzzle is the Arm Pelion IoT Platform, which combines Stream, Treasure Data and the existing Arm Mbed Cloud into a single solution for connecting and managing IoT devices and the data they produce.
Arm says Treasure Data will continue to operate as before and continue to serve new clients as well as its existing users. “It will remain an important part of industry IoT enablement, providing the ability to harness new, complex edge and device data within a comprehensive customer profile to personalize their products and improve their experiences,” the company says.
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Xage secures $12 million Series A for IoT security solution on blockchain
Xage (pronounced Zage), a blockchain security startup based in Silicon Valley, announced a $12 million Series A investment today led by March Capital Partners. GE Ventures, City Light Capital and NexStar Partners also participated.
The company emerged from stealth in December with a novel idea to secure the myriad of devices in the industrial internet of things on the blockchain. Here’s how I described it in a December 2017 story:
Xage is building a security fabric for IoT, which takes blockchain and synthesizes it with other capabilities to create a secure environment for devices to operate. If the blockchain is at its core a trust mechanism, then it can give companies confidence that their IoT devices can’t be compromised. Xage thinks that the blockchain is the perfect solution to this problem.
It’s an interesting approach, one that attracted Duncan Greatwood to the company. As he told me in December his previous successful exits — Topsy to Apple in 2013 and PostPath to Cisco in 2008 — gave him the freedom to choose a company that really excited him for his next challenge.
When he saw what Xage was doing, he wanted to be a part of it, and given the unorthodox security approach the company has taken, and Greatwood’s pedigree, it couldn’t have been hard to secure today’s funding.
The Industrial Internet of Things is not like its consumer cousin in that it involves getting data from big industrial devices like manufacturing machinery, oil and gas turbines and jet engines. While the entire Internet of Things could surely benefit from a company that concentrates specifically on keeping these devices secure, it’s a particularly acute requirement in industry where these devices are often helping track data from key infrastructure.
GE Ventures is the investment arm of GE, but their involvement is particularly interesting because GE has made a big bet on the Industrial Internet of Things. Abhishek Shukla of GE Ventures certainly saw the connection. “For industries to benefit from the IoT revolution, organizations need to fully connect and protect their operation. Xage is enabling the adoption of these cutting edge technologies across energy, transportation, telecom, and other global industries,” Shukla said in a statement.
The company was founded just last year and is based in Palo Alto, California.
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Swim.ai raises $10M to bring real-time analytics to the edge
Once upon a time, it looked like cloud-based serviced would become the central hub for analyzing all IoT data. But it didn’t quite turn out that way because most IoT solutions simply generate too much data to do this effectively and the round-trip to the data center doesn’t work for applications that have to react in real time. Hence the advent of edge computing, which is spawning its own ecosystem of startups.
Among those is Swim.ai, which today announced that it has raised a $10 million Series B funding round led by Cambridge Innovation Capital, with participation from Silver Creek Ventures and Harris Barton Asset Management. The round also included a strategic investment from Arm, the chip design firm you may still remember as ARM (but don’t write it like that or their PR department will promptly email you). This brings the company’s total funding to about $18 million.
Swim.ai has an interesting take on edge computing. The company’s SWIM EDX product combines both local data processing and analytics with local machine learning. In a traditional approach, the edge devices collect the data, maybe perform some basic operations against the data to bring down the bandwidth cost and then ship it to the cloud where the hard work is done and where, if you are doing machine learning, the models are trained. Swim.ai argues that this doesn’t work for applications that need to respond in real time. Swim.ai, however, performs the model training on the edge device itself by pulling in data from all connected devices. It then builds a digital twin for each one of these devices and uses that to self-train its models based on this data.
“Demand for the EDX software is rapidly increasing, driven by our software’s unique ability to analyze and reduce data, share new insights instantly peer-to-peer – locally at the ‘edge’ on existing equipment. Efficiently processing edge data and enabling insights to be easily created and delivered with the lowest latency are critical needs for any organization,” said Rusty Cumpston, co-founder and CEO of Swim.ai. “We are thrilled to partner with our new and existing investors who share our vision and look forward to shaping the future of real-time analytics at the edge.”
The company doesn’t disclose any current customers, but it is focusing its efforts on manufacturers, service providers and smart city solutions. Update: Swim.ai did tell us about two customers after we published this story: The City of Palo Alto and Itron.
Swim.ai plans to use its new funding to launch a new R&D center in Cambridge, UK, expand its product development team and tackle new verticals and geographies with an expanded sales and marketing team.
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Microsoft program provides a decade of updates for Windows IoT devices
If you have an essential Internet of Things device running Windows 10 IoT Core Service, you don’t want to be worried about security and OS patches over a period of years. Microsoft wants to help customers running these kinds of devices with a new program that guarantees 10 years of updates.
The idea is that as third-party partners build applications on top of the Windows 10 IoT Core Services, these OEMs, who create the apps, can pay Microsoft to guarantee updates for these devices for a decade. This can help assure customers that they won’t be vulnerable to attack on these critical systems from unpatched applications.
The service does more than provide updates though. It also gives OEMs the ability to manage the updates and assess the device’s health.
“The Windows IoT Core service offering is enabling partners to commercialize secure IoT devices backed by industry-leading support. And so device makers will have the ability to manage updates for the OS, for the apps and for the settings for OEM-specific files,” Dinesh Narayanan, director of business development for emerging markets explained.
It gives OEMs creating Windows-powered applications on machines like healthcare devices or ATMs this ability to manage them over an extended period. That’s particularly important as these devices tend to have a more extended usage period than say a PC or tablet.”We want to extend support and commit to that support over the long haul for these devices that have a longer life cycle,” Narayanan said.
Beyond the longevity, the service also provides customers with access to the Device Update Center where they can control and customize how and when the devices get updated. It also includes another level of security called Device Health Attestation that allows the OEMs to evaluate the trustworthiness of the devices before they update them using a third party service.
All of this is designed to give Microsoft a foothold in the growing IoT space and to provide an operating system for these devices as they proliferate. While predictions vary dramatically, Gartner has predicted that at least 20 billion connected devices will be online in 2020.
While not all of these will be powered by Windows, or require advanced management capabilities, those that do can be assured if their vendor uses this program that they can manage the devices and keep them up-to-date. And when it comes to the Internet of Things, chances are that’s going to be critical.
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Meet Alchemist Accelerator’s latest demo day cohort
An IoT-enabled lab for cannabis farmers, a system for catching drones mid-flight and the Internet of Cows are a few of the 17 startups exhibiting today at Alchemist Accelerator’s 18th demo day. The event, which will be streamed live here, focuses on big data and AI startups with an enterprise bent.
The startups are showing their stuff at Juniper’s Aspiration Dome in Sunnyvale, California at 3pm today, but you can catch the whole event online if you want to see just what computers and cows have in common. Here are the startups pitching onstage.
Tarsier – Tarsier has built AI computer vision to detect drones. The founders discovered the need while getting their MBAs at Stanford, after one had completed a PhD in aeronautics. Drones are proliferating. And getting into places they shouldn’t — prisons, R&D centers, public spaces. Securing these spaces today requires antiquated military gear that’s clunky and expensive. Tarsier is all software. And cheap, allowing them to serve markets the others can’t touch.
Lightbox – Retail 3D is sexy — think virtual try-ons, VR immersion, ARKit stores. But creating these experiences means creating 3D models of thousands of products. Today, artists slog through this process, outputting a few models per day. Lightbox wants to eliminate the humans. This duo of recent UPenn and Stanford Computer Science grads claim their approach to 3D scanning is pixel perfect without needing artists. They have booked $40,000 to date and want to digitize all of the world’s products.
Vorga – Cannabis is big business — more than $7 billion in revenue today and growing fast. The crop’s quality — and a farmer’s income — is highly sensitive to a few chemicals in it. Farmers today test the chemical composition of their crops through outsourced labs. Vorga’s bringing the lab in-house to the cannabis farmer via their IoT platform. The CEO has a PhD in chemical physics, and formerly helped the Department of Defense keep weapons of mass destruction out of the hands of terrorists. She’s now helping cannabis farmers get high… revenue.
Neulogic – Neulogic is founded by a duo of Computer Science PhDs that led key parts of Walmart.com product search. They now want to solve two major problems facing the online apparel industry: the need to provide curated inspiration to shoppers and the need to offset rising customer acquisition costs by selling more per order. Their solution combines AI with a fashion knowledge graph to generate outfits on demand.
Intensivate – Life used to be simple. Enterprises would use servers primarily for function-driven applications like billing. Today, servers are all about big data, analytics and insight. Intensivate thinks servers need a new chip upgrade to reflect that change. They are building a new CPU they claim gets 12x the performance for the same cost. Hardware plays like this are hard to pull off, but this might be the team to do it. It includes the former co-founder and CEO of CPU startup QED, which was acquired for $2.3 billion, and a PhD in parallel computation who was on the design team for the Alpha CPU from DEC.
Integry – SaaS companies put a lot of effort into building out integrations. Integry provides app creators their own integrations marketplace with pre-boarded partners so they can have apps working with theirs from the get go. The vision is to enable app creators to mimic their own Slack app directory without spending the years or the millions. Because these integrations sit inside their app, Integry claims setup rates are significantly better and churn is reduced by as much as 40 percent.
Cattle Care – AI video analytics applied to cows! Cattle Care wants to increase dairy farmers’ revenue by more than $1 million per year and make cows healthier at the same time. The product identifies cows in the barn by their unique black and white patterns. Algorithms collect parameters such as walking distance, interactions with other cows, feeding patterns and other variables to detect diseases early. Then the system sends alerts to farm employees when they need to take action, and confirms the problem has been solved afterwards.
VadR – VR/AR is grappling with a lack of engaging content. VadR thinks the cause is a broken feedback loop of analytics to the creators. This trio of IIT-Delhi engineers has built machine learning algorithms that get smarter over time and deliver actionable insights on how to modify content to increase engagement.
Tika – This duo of ex-Googlers wants to help engineering managers manage their teams better. Managers use Tika as an AI-powered assistant over Slack to facilitate personalized conversations with engineering teams. The goal is to quickly uncover and resolve employee engagement issues, and prevent talent churn.
GridRaster – GridRaster wants to bring AR/VR to mobile devices. The problem? AR/VR is compute-intensive. Latency, bandwidth and poor load balancing kill AR/VR on mobile networks. The solution? For this trio of systems engineers from Broadcom, Qualcomm and Texas Instruments, it’s about starting with enterprise use cases and building edge clouds to offload the work. They have 12 patents.
AitoeLabs – Despite the buzz around AI video analytics for security, AitoeLabs claims solutions today are plagued with hundreds of thousands of false alarms, requiring lots of human involvement. The engineering trio founding team combines a secret sauce of contextual data with their own deep models to solve this problem. They claim a 6x reduction in human monitoring needs with their tech. They’re at $240,000 ARR with $1 million of LOIs.
Ubiquios – Companies building wireless IoT devices waste more than $1.8 billion because of inadequate embedded software options making products late to market and exposing them to security and interoperability issues. The Ubiquios wireless stack wants to simplify the development of wireless IoT devices. The company claims their stack results in up to 90 percent lower cost and up to 50 percent faster time to market. Qualcomm is a partner.
4me, Inc. – 4me helps companies organize and track their IT outsourcing projects. They have 16 employees, 92 customers and generate several million in revenue annually. Storm Ventures led a $1.65 million investment into the company.
TorchFi – You know the pop-up screen you see when you log into a Wi-Fi hotspot? TorchFi thinks it’s a digital gold mine in the waiting. Their goal is to convert that into a sales channel for hotspot owners. Their first product is a digital menu that transforms the login screen into a food ordering screen for hotels and restaurants. Cisco has selected them as one of 20 apps to be distributed on their Meraki hotspots.
Cogitai – This team of 16 PhDs wants to usher in a more powerful type of AI called continual learning. The founders are the fathers of the field — and include professors in computer science from UT Austin and U Michigan. Unlike what we commonly think of as AI, Cogitai’s AI is built to acquire new skills and knowledge from experience, much like a child does. They have closed $2 million in bookings this year, and have $5 million in funding.
LoadTap – On-demand trucking apps are in vogue. LoadTap explicitly calls out that it is not one. This team, which includes an Apple software architect and founder with a family background in trucking, is an enterprise SaaS-only solution for shippers who prefer to work with their pre-vetted trucking companies in a closed loop. LoadTap automates matching between the shippers and trucking companies using AI and predictive analytics. They’re at $90,000 ARR and growing revenue 50 percent month over month.
Ondaka – Ondaka has built a VR-like 3D platform to render industrial information visually, starting with the oil and gas industry. For these industrial customers, the platform provides a better way to understand real-time IoT data, operational and job site safety issues and how reliable their systems are. The product launched two months ago, they have closed three customers already and are projecting ARR in the six figures. They have raised $350,000 in funding.
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AWS introduces 1-click Lambda functions app for IoT
When Amazon introduced AWS Lambda in 2015, the notion of serverless computing was relatively unknown. It enables developers to deliver software without having to manage a server to do it. Instead, Amazon manages it all and the underlying infrastructure only comes into play when an event triggers a requirement. Today, the company released an app in the iOS App Store called AWS IoT 1-Click to bring that notion a step further.
The 1-click part of the name may be a bit optimistic, but the app is designed to give developers even quicker access to Lambda event triggers. These are designed specifically for simple single-purpose devices like a badge reader or a button. When you press the button, you could be connected to customer service or maintenance or whatever makes sense for the given scenario.
One particularly good example from Amazon is the Dash Button. These are simple buttons that users push to reorder goods like laundry detergent or toilet paper. Pushing the button connects to the device to the internet via the home or business’s WiFi and sends a signal to the vendor to order the product in the pre-configured amount. AWS IoT 1-Click extends this capability to any developers, so long as it is on a supported device.
To use the new feature, you need to enter your existing account information. You configure your WiFi and you can choose from a pre-configured list of devices and Lambda functions for the given device. Supported devices in this early release include AWS IoT Enterprise Button, a commercialized version of the Dash button and the AT&T LTE-M Button.
Once you select a device, you define the project to trigger a Lambda function, or send an SMS or email, as you prefer. Choose Lambda for an event trigger, then touch Next to move to the configuration screen where you configure the trigger action. For instance, if pushing the button triggers a call to IT from the conference room, the trigger would send a page to IT that there was a call for help in the given conference room.
Finally, choose the appropriate Lambda function, which should work correctly based on your configuration information.
All of this obviously requires more than one click and probably involves some testing and reconfiguring to make sure you’ve entered everything correctly, but the idea of having an app to create simple Lambda functions could help people with non-programming background configure buttons with simple functions with some training on the configuration process.
It’s worth noting that the service is still in Preview, so you can download the app today, but you have to apply to participate at this time.
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IoT devices could be next customer data frontier
At the Adobe Summit this week in Las Vegas, the company introduced what could be the ultimate customer experience construct, a customer experience system of record that pulls in information, not just from Adobe tools, but wherever it lives. In many ways it marked a new period in the notion of customer experience management, putting it front and center of the marketing strategy.
Adobe was not alone, of course. Salesforce, with its three-headed monster, the sales, marketing and service clouds, was also thinking of a similar idea. In fact, they spent $6.5 billion dollars last week to buy MuleSoft to act as a data integration layer to access customer information from across the enterprise software stack, whether on prem, in the cloud, or inside or outside of Salesforce. And they announced the Salesforce Integration Cloud this week to make use of their newest company.
As data collection takes center stage, we actually could be on the edge of yet another data revolution, one that could be more profound than even the web and mobile were before it. That is…the Internet of Things.
Here comes IoT
There are three main pieces to that IoT revolution at the moment from a consumer perspective. First of all, there is the smart speaker like the Amazon Echo or Google Home. These provide a way for humans to interact verbally with machines, a notion that is only now possible through the marriage of all this data, sheer (and cheap) compute power and the AI algorithms that fuel all of it.
Next, we have the idea of a connected car, one separate from the self-driving car. Much like the smart speaker, humans can interact with the car, to find directions and recommendations and that leaves a data trail in its wake. Finally we, have sensors like iBeacons sitting in stores, providing retailers with a world of information about a customer’s journey through the store — what they like or don’t like, what they pick up, what they try on and so forth.
There are very likely a host of other categories too, and all of this information is data that needs to be processed and understood just like any other signals coming from customers, but it also has unique characteristics around the volume and velocity of this data — it is truly big data with all of the issues inherent in processing that amount of data.
The means it needs to be ingested, digested and incorporated into that central customer record-keeping system to drive the content and experiences you need to create to keep your customers happy — or so the marketing software companies tell us, at least. (We also need to consider the privacy implications of such a record, but that is the subject for another article.)
Building a better relationship
Regardless of the vendor, all of this is about understanding the customer better to provide a central data gathering system with the hope of giving people exactly what they want. We are no longer a generic mass of consumers. We are instead individuals with different needs, desires and requirements, and the best way to please us they say, is to understand us so well, that the brand can deliver the perfect experience at exactly the right moment.
Photo: Ron Miller
That involves listening to the digital signals we give off without even thinking about it. We carry mobile, connected computers in our pockets and they send out a variety of information about our whereabouts and what we are doing. Social media acts as a broadcast system that brands can tap into to better understand us (or so the story goes).
Part of what Adobe, Salesforce and others can deliver is a way to gather that information, pull it together into his uber record keeping system and apply a level of machine and learning and intelligence to help further the brand’s ultimate goals of serving a customer of one and delivering an efficient (and perhaps even pleasurable) experience.
Getting on board
At an Adobe Summit session this week on IoT (which I moderated), the audience was polled a couple of times. In one show of hands, they were asked how many owned a smart speaker and about three quarters indicated they owned at least one, but when asked how many were developing applications for these same devices only a handful of hands went up. This was in a room full of marketers, mind you.
Photo: Ron Miller
That suggests that there is a disconnect between usage and tools to take advantage of them. The same could be said for the other IoT data sources, the car and sensor tech, or any other connected consumer device. Just as we created a set of tools to capture and understand the data coming from mobile apps and the web, we need to create the same thing for all of these IoT sources.
That means coming up with creative ways to take advantage of another interaction (and data collection) point. This is an entirely new frontier with all of the opportunity involved in that, and that suggests startups and established companies alike need to be thinking about solutions to help companies do just that.
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5G needs a “new mindset” towards Internet rules, telcos warn
Carriers have kicked off the world’s biggest mobile phone tradeshow with calls for an “investment friendly framework” to fund rollouts of next-gen 5G network technology and level the playing field with Internet giants. “We need a new mindset,” argued Telefonica CEO José María Álvarez-Pallete López, giving the first keynote of the morning here at Mobile… Read More
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Meet top startups from Alchemist Class 17
Yesterday Alchemist Accelerator, best known for working with enterprise startups, held its 17th demo day at the Stanford Research Institute (SRI) in Menlo Park, California. Twenty-four startups pitched ideas ranging from personalized genomics to hard tech spinouts from Stanford’s Linear Accelerator. Rather than expound upon all twenty-four I worked with Alchemist to bring you a top… Read More
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Xage emerges from stealth with a blockchain-based IoT security solution
Getting the myriad of devices involved in the industrial internet of things provisioned and communicating with one another in a secure way will be one of the great technological challenges facing companies in the coming years. Xage (prounounced Zage) emerged from stealth today with a blockchain-based security solution that could help simplify this. The company also announced that Duncan… Read More
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