Monthly Archives: December 2020

News: AWS announces Panorama a device adds machine learning technology to any camera

AWS has launched a new hardware device, the AWS Panorama Appliance, which, alongside the AWS Panorama SDK, will transform existing on-premises cameras into computer vision enabled super-powered surveillance devices. Pitching the hardware as a new way for customers to inspect parts on manufacturing lines, ensure that safety protocols are being followed, or analyze traffic in retail

AWS has launched a new hardware device, the AWS Panorama Appliance, which, alongside the AWS Panorama SDK, will transform existing on-premises cameras into computer vision enabled super-powered surveillance devices.

Pitching the hardware as a new way for customers to inspect parts on manufacturing lines, ensure that safety protocols are being followed, or analyze traffic in retail stores, the new automation service is part of the theme of this AWS re:Invent event — automate everything.

Along with computer vision models that companies can develop using Amazon SageMaker, the new Panorama Appliance can run those models on video feeds from networked or network-enabled cameras.

Soon, AWS expects to have the Panorama SDK that can be used by device manufacturers to build Panorama-enabled devices.

Amazon has already pitched surveillance technologies to developers and the enterprise before. Back in 2017, the company unveiled DeepLens, which it began selling one year later. It was a way for developers to build prototype machine learning models and for Amazon to get comfortable with different ways of commercializing computer vision capabilities.

As we wrote in 2018:

DeepLens is deeply integrated with the rest of AWS’s services. Those include the AWS IoT service Greengrass, which you use to deploy models to DeepLens, for example, but also SageMaker, Amazon’s newest tool for building machine learning models… Indeed, if all you want to do is run one of the pre-built samples that AWS provides, it shouldn’t take you more than 10 minutes to set up … DeepLens and deploy one of these models to the camera. Those project templates include an object detection model that can distinguish between 20 objects (though it had some issues with toy dogs, as you can see in the image above), a style transfer example to render the camera image in the style of van Gogh, a face detection model and a model that can distinguish between cats and dogs and one that can recognize about 30 different actions (like playing guitar, for example). The DeepLens team is also adding a model for tracking head poses. Oh, and there’s also a hot dog detection model.

 

Amazon has had a lot of experience (and controversy) when it comes to the development of machine learning technologies for video. The company’s Rekognition software sparked protests and pushback which led to a moratorium on the use of the technology.

And the company has tried to incorporate more machine learning capabilities into its consumer facing Ring cameras as well.

Still, enterprises continue to clamor for new machine learning-enabled video recognition technologies for security, safety, and quality control. Indeed, as the COVID-19 pandemic drags on, new protocols around building use and occupancy are being adopted to not only adapt to the current epidemic, but plan ahead for spaces and protocols that can help mitigate the severity of the next one.

 

News: Amazon announces a bunch of products aimed at industrial sector

One of the areas that is often left behind when it comes to cloud computing is the industrial sector. That’s because these facilities often have older equipment or proprietary systems that aren’t well suited to the cloud. Amazon wants to change that, and today the company announced a slew of new services at AWS re:Invent

One of the areas that is often left behind when it comes to cloud computing is the industrial sector. That’s because these facilities often have older equipment or proprietary systems that aren’t well suited to the cloud. Amazon wants to change that, and today the company announced a slew of new services at AWS re:Invent aimed at helping the industrial sector understand their equipment and environments better.

For starters, the company announced Amazon Monitron, which is designed to monitor equipment and send signals to the engineering team when the equipment could be breaking down. If industrial companies can know when their equipment is breaking, it allows them to repair on it their own terms, rather than waiting until after it breaks down and having the equipment down at what could be an inopportune time.

As AWS CEO Andy Jassy says, an experienced engineer will know when equipment is breaking down by a certain change in sound or a vibration, but if the machine could tell you even before it got that far, it would be a huge boost to these teams.

“…a lot of companies either don’t have sensors, they’re not modern powerful sensors, or they are not consistent and they don’t know how to take that data from the sensors and send it to the cloud, and they don’t know how to build machine learning models, and our manufacturing companies we work with are asking [us] just solve this [and] build an end-to-end solution. So I’m excited to announce today the launch of Amazon Monotron, which is an end-to-end solution for equipment monitoring,” Jassy said.

The company builds a machine learning model that understands what a normal state looks like, then uses that information to find anomalies and send back information to the team in a mobile app about equipment that needs maintenance now based on the data the model is seeing.

For those companies who may have a more modern system and don’t need the complete package that Monotron offers, Amazon has something for these customers as well. If you have modern sensors, but you don’t have a sophisticated machine learning model, Amazon can ingest this data and apply its machine learning algorithms to find anomalies just as it can with Monotron.

“So we have something for this group of customers as well to announce today, which is the launch of Amazon Lookout for Equipment, which does anomaly detection for industrial machinery,” he said.

In addition, the company announced the Panorama Appliance for companies using cameras at the edge who want to use more sophisticated computer vision, but might not have the most modern equipment to do that. “I’m excited to announce today the launch of the AWS Panorama Appliance which is a new hardware appliance [that allows] organizations to add computer vision to existing on premises smart cameras,” Jassy told AWS re:Invent today.

In addition, it also announced a Panorama SDK to help hardware vendors build smarter cameras based on Panorama.

All of these services are designed to give industrial companies access to sophisticated cloud and machine learning technology at whatever level they may require depending on where they are on the technology journey.

News: AWS updates its edge computing solutions with new hardware and Local Zones

AWS today closed out its first re:Invent keynote with a focus on edge computing. The company launched two smaller appliances for its Outpost service, which originally brought AWS as a managed service and appliance right into its customers’ existing data centers in the form of a large rack. Now, the company is launching these smaller

AWS today closed out its first re:Invent keynote with a focus on edge computing. The company launched two smaller appliances for its Outpost service, which originally brought AWS as a managed service and appliance right into its customers’ existing data centers in the form of a large rack. Now, the company is launching these smaller versions so that its users can also deploy them in their stores or office locations. These appliances are fully managed by AWS and offer 64 cores of compute, 128GB of memory and 4TB of local NVMe storage.

In addition, the company expanded its set of Local Zones, which are basically small extensions of existing AWS regions that are more expensive to use but offer low-latency access in metro areas. This service launched in Los Angeles in 2019 and starting today, it’s also available in preview in Boston, Houston and Miami. Soon, it’ll expand to Atlanta, Chicago, Dallas, Denver, Kansas City, Las Vegas, Minneapolis, New York, Philadelphia, Phoenix, Portland and Seattle. Google, it’s worth noting, is doing something similar with its Mobile Edge Cloud.

The general idea here — and that’s not dissimilar from what Google, Microsoft and others are now doing — is to bring AWS to the edge and to do so in a variety of form factors.

As AWS CEO Andy Jassy rightly noted, AWS always believed that the vast majority of companies, “in the fullness of time” (Jassy’s favorite phrase from this keynote), would move to the cloud. Because of this, AWS focused on cloud services over hybrid capabilities early on. He argues that AWS watched others try and fail in building their hybrid offerings, in large parts because what customers really wanted was to use the same control plane on all edge nodes and in the cloud. None of the existing solutions from other vendors, Jassy argues, got any traction (though AWSs competitors would surely deny this) because of this.

The first result of that was VMware Cloud on AWS, which allowed customers to use the same VMware software and tools on AWS they were already familiar with. But at the end of the day, that was really about moving on-premises services to the cloud.

With Outpost, AWS launched a fully managed edge solution that can run AWS infrastructure in its customers’ data centers. It’s been an interesting journey for AWS, but the fact that the company closed out its keynote with this focus on hybrid — no matter how it wants to define it — shows that it now understands that there is clearly a need for this kind of service. The AWS way is to extend AWS into the edge — and I think most of its competitors will agree with that. Microsoft tried this early on with Azure Stack and really didn’t get a lot of traction, as far as I’m aware, but it has since retooled its efforts around Azure Arc. Google, meanwhile, is betting big on Anthos.

News: Gift Guide: Camping and backpacking gear that the outdoors lover in your life really wants

Welcome to TechCrunch’s 2020 Holiday Gift Guide! Need help with gift ideas? We’re here to help! We’ll be rolling out gift guides from now through the end of December. You can find our other guides right here. Like plenty of others, I dug much deeper into the great outdoors and camping this summer amid social

Welcome to TechCrunch’s 2020 Holiday Gift Guide! Need help with gift ideas? We’re here to help! We’ll be rolling out gift guides from now through the end of December. You can find our other guides right here.

Like plenty of others, I dug much deeper into the great outdoors and camping this summer amid social distancing restrictions. It’s pretty easy to stay COVID-safe when you’re several days’ wander into the wilderness. Whether it’s a fun day hike, a car camping excursion or a multi-day backcountry backpacking trip, there’s plenty of great camping and hiking gear that can make life easier for the outdoors person (without going overboard).

I bought a ton of camping gear online this year. I had the fortune of timing a 40-mile backpacking excursion through the Los Padres national forest with one of REI’s annual sales, a time when the majority of online camping retailers also tend to offer steep discounts on their stuff. Most of my gear was optimized for backpacking and I ended up replacing most of my decade-old gear with some lighter, better-quality stuff. Backpacking leaves room for fewer luxuries, but add a few car camping trips and you’ll see the fun in bringing in the nice-to-haves to your outdoors gear repertoire.

With camping gear, you can almost always find a good sale on any individual item during the year so stay patient and keep an eye out. Plenty of sites offer one-off discounts for first time buyers or have pretty reliably timed, wide-ranging seasonal sales so if you’re smart about your purchase you can get it at a discount.

One note to hammer home: when buying gear, one of the main things to consider is whether you anticipate getting bit by the backpacking bug. It’s not always easy to tell ahead of time, but if you do think you’ll end up using your gear on backpacking trips, you’ll want to account pretty heavily for the weight of any new gear. You can certainly upgrade later too, but it’s always good to future-proof when you can. If you’re just planning to hop into the car and hit up a nice drive-in campsite, you have a lot less to worry about in terms of size and weight restrictions which makes things much simpler.

These are all things I bought with my own money or am planning to buy at some point, so no sponsored suggestions here. That said, this article contains links to affiliate partners where available. When you buy through these links, TechCrunch may earn an affiliate commission.

Mpowerd Luci Solar String Lights

Image: MPOWERD

When it comes to camping, light can really expand your options for what you can do at night. I’ve been one to rely on campfire light during the evenings but with campfire bans hitting plenty of campsites in California this season, I upped my lighting game this year.

These string lights come in a nicely designed package and are perfect for adding some ambiance and solidly bright light to your campsite. They’re a bit of a luxury but they provide a good bit of light on multiple brightness settings. The company now also makes a version with colored lights if you want to get festive.

They lights do suck up a decent amount of power so they may only last you a night or two on a single charge depending on your usage, but the handy built-in solar charger can help there. Truthfully I’ve always had mixed success with relying on solar charging, so I might save this one for the car-camping trips where you have easy access to somewhere to charge the light with its integrated USB cable.

Price: $28 from Amazon

Sea to Summit dry sacks

Image: Sea to Summit

Though mobile gear is increasingly gaining waterproof IP ratings, especially when it comes to higher-end camera gear, not everything is friendly with moisture. One purchase I made this year that felt like a no-brainer was a set of small dry-bags. They are certainly a more expensive option than the humble zip-locks which I’ve been using for years, but while a wet roll of toilet paper or map can be a bummer, a wet mirrorless camera is a disaster.

Dry bags keep the wetness out. They’re also just a nice and functional organizational tool to keep all of your tech gear together and protected from the elements. Earlier this summer I bought this small 3-pack which is sized perfectly for the tech gear I tend to bring along. Later I bought a much larger 35L sack to house gear like my sleeping bag and clothes that I really need to keep dry while hiking through river beds or while it’s raining.

I opted for a set of Sea to Summit bags which seem to be the gold standard, but if you search for dry bags on the web, you’ll come across plenty of sets with some good ratings. Just be sure to peruse the reviews to get a sense of their durability which is the only thing that matters.

Price: $43 from REI

Garmin inReach Explorer+

Image: Garmin

I have two big items on my next wish list for backpacking gear upgrades to make before next season. One is a bear can to stuff my food and toiletries into when backpacking through Tahoe’s Desolation Wilderness as I soon hope to. The other is the inReach Explorer+. I’ve relied on friends with handheld GPS units in the past but Garmin’s option, which seems to be quite popular, bundles a GPS unit with a phone that operates on a satellite network.

You need a plan for the device to use the satellite network, which you can activate on a monthly basis whenever you need it. That network is good for a couple things: sending off text messages with GPS points to friends and relatives so they can see your progress and know you’re safe, while also being able to reach the outside world if you find yourself in an emergency and might need to be rescued. While these evacuations are assuredly going to be a pricey affair, it’s never worth gambling with your life or opting for a backup plan that you might not make it back from.

Garmin also sells a mini version of the inReach that eschews GPS navigation and a decent screen size for a much smaller footprint, more of a “don’t use it unless you absolutely need to” version. I will also quickly note that satellite phones are actually illegal to have on you in some countries so be sure to check out whether that’s the case before you pack one in your bag.

Price: $450 from Garmin

Helinox Chair Zero

Image: Helinox

These chairs are probably some of the best things I’ve ever purchased. Oddly, I actually haven’t used them that much while backpacking, which seems to be the intent of the product given how light they are at just over 1 pound, but they’ve been amazing for tossing in a tote bag for a day at the park.

I’ve gotten so much use of them partially because I live in a city and don’t own a car. If I had a car, I might just opt for a larger and cheaper folding chair that I could keep in the trunk. That said, what’s great about these is that they are light enough to bring backpacking — though they are definitely still a luxury item to bring along. My one complaint is that these chairs don’t play so nicely with the sand or mud so you want to find a fairly hard surface to set them up on if you want to feel fully secure placing your full weight on these tiny chairs.

I got these for about half-off when I bought them, but there are definitely cheaper options than those from Helinox if you can’t find a deal and don’t mind an extra pound of weight or so. I have friends who are particularly big fans of the REI versions.

Side note: this year I also found a deal on a lightweight Helinox hard-top table which has been great for playing board games on or setting up a cook station.

Price: $150 from Amazon

A giant duffel bag

Image: REI

One of the big issues with amassing a collection of camping gear is storing it all during those non-camping months. The best solution for this is a big ‘ole duffel bag. They’re great to store your gear in, and it’s so easy to just toss a duffel in your car when you’re ready to go camping and not have to deal with a dozen little trips to the car and back.

I ended up buying a 90-liter REI bag during a sale, but I’ve seen great things on the bags from North Face and Patagonia as well. This size fits a ton and has the added advantage of being just about the maximum size for a standard checked bag on a flight, anything larger will require an oversized baggage fee. These bags all go on sale in pretty often so I wouldn’t rush into buying especially if you don’t need one ASAP.

Price: Varies; the one above is $140 right now from REI

Travel chess set

Image: Kidami

Cards are great, but sometimes you want to spice up your options for games. For those of you who have just binged through Queen’s Gambit, I’ll recommend searching for a good travel chess board.

I ended up going for this very random travel chess set on Amazon because the magnetic board made me feel confident I wouldn’t lose all of the pieces immediately. It’s not the most high quality-feeling but the price was right and it strikes a good balance. There are definitely plenty of options that are more robust or more lightweight.

Price: $18 from Amazon

Nalgene Mini Bottles

Image: REI

One thing every camper should have in their gear collection is a bunch of different sized mini Nalgene bottles. These things are great and can hold your soap, shampoo, oil, sauces, booze and other liquids securely and (as long as you’re religious about tightening the screw-top bottles) can ensure that you won’t have any accidental spills.

I use these aggressively for meal planning and measure out the various quantities of a liquid or sauce I’ll need for a given meal and toss them inside a bigger plastic bag with all of the ingredients. As such, I have a few sizes ranging from an ounce to 4 ounces. That’s not a use case everyone needs when you’re car-camping and don’t have the luxury of measuring everything ahead of time, but they’re also awesome for toiletry kits and I use the 2 ounce bottle for shampoo and soap when I’m flying and want to bring my own stuff.

One complaint is that these will hold onto the smell of some more pungent liquids even after you wash them so keep that in mind and maybe be careful to separate the ones you’re storing your toiletries in from the ones holding sauces.

Price: $2 from REI

News: Who’s building the grocery store of the future?

The future of grocery shopping will be a win-win for both stores and customers.

Christopher Wan
Contributor

Chris is a venture fellow at Bessemer Venture Partners and a JD/MBA candidate at Stanford University who writes a weekly newsletter about tech, policy and business strategy.

The future of grocery stores will be a win-win for both stores and customers.

On one hand, stores want to decrease their operational expenditures that come from hiring cashiers and conducting inventory management. On the other hand, consumers want to decrease the friction of buying groceries. This friction includes both finding high-quality groceries at consumers’ personal price points and waiting in long lines for checkout. The future of grocery stores promises to alleviate, and even eliminate, these points of friction.

Amazon’s foray into grocery store technology provides a succinct introduction into the state of the industry. Amazon’s first act was its Amazon Go store, which opened in Seattle in early 2018. When customers enter an Amazon Go store, they swipe the Amazon app at the entrance, enabling Amazon to link purchases to their accounts. As they shop, a collection of ceiling cameras and shelf sensors identify the items and places them in a a virtual shopping cart. When they’re done shopping, Amazon automatically charges for the items they grabbed.

Earlier this year, Amazon opened a 10,400-square-foot Go store, about five times bigger than the largest prior location. At larger store sizes, however, tracking people and products gets more computationally complex and larger SKU counts become more difficult to manage. This is especially true if the computer vision AI-based system also must be retrofitted into buildings that come with nooks and crannies that can obstruct camera angles and affect lighting.

Perhaps Amazon’s confidence in its ability to scale its Go stores comes from vertical integration that enables it to optimize customer experiences through control over store format, product selection and placement.

While Amazon Go is vertically integrated, in Amazon’s second act, it revealed a separate, more horizontal strategy: Earlier this year, Amazon announced that it would license its cashierless Just Walk Out technology.

In Just Walk Out-enabled stores, shoppers enter the store using a credit card. They don’t need to download an app or create an Amazon account. Using cameras and sensors, the Just Walk Out technology detects which products shoppers take from or return to the shelves and keeps track of them. When done shopping, as in an Amazon Go store, customers can “just walk out” and their credit card will be charged for the items in their virtual cart.

Just Walk Out may enable Amazon to penetrate the market much more quickly, as Amazon promises that existing stores can be retrofitted in “as little as a few weeks.” Amazon can also get massive amounts of data to improve its computer vision systems and machine learning algorithms, accelerating the speed with which it can leverage those capabilities elsewhere.

In Amazon’s third and latest act, Amazon in July announced its Dash Cart, a departure from its two prior strategies. Rather than equipping stores with ceiling cameras and shelf sensors, Amazon is building smart carts that use a combination of computer vision and sensor fusion to identify items placed in the cart. Customers take barcoded items off shelves, place them in the cart, wait for a beep, and then one of two things happens: Either the shopper gets an alert telling him to try again, or the shopper receives a green signal to confirm the item was added to the cart correctly.

For items that don’t have a barcode, the shopper can add them to the cart by manually adding them on the cart screen and confirming the measured weight of the product. When a customer exits through the store’s Amazon Dash Cart lane, sensors automatically identify the cart, and payment is processed using the credit card on the customer’s Amazon account. The Dash Cart is specifically designed for small- to medium-sized grocery trips that fit two grocery bags and is currently only available in an Amazon Fresh store in California.

The pessimistic interpretation of Amazon’s foray into grocery technology is that its three strategies are mutually incompatible, reflecting a lack of conviction on the correct strategy to commit to. Indeed, the vertically integrated smart store strategy suggests Amazon is willing to incur massive fixed costs to optimize the customer experience. The modular smart store strategy suggests Amazon is willing to make the tradeoff in customer experience for faster market penetration.

The smart cart strategy suggests that smart stores are too complex to capture all customer behaviors correctly, thus requiring Amazon to restrict the freedom of user behavior. The more charitable interpretation, however, is that, well, Amazon is one of the most customer-centric companies in the world, and it has the capital to experiment with different approaches to figure out what works best.

While Amazon serves as a helpful case study to the current state of the industry, many other players exist in the space, all using different approaches to build an aspect of the grocery store of the future.

Cashierless checkout

According to some estimates, people spend more than 60 hours per year standing in checkout lines. Cashierless checkout changes everything, as shoppers are immediately identified upon entry and can grab products from the shelf and leave the store without having to interact with a cashier. Different companies have taken different approaches to cashierless checkout:

Smart shelves: Like Amazon Go, some companies utilize computer vision mounted on ceilings and advanced sensors on shelves to detect when shoppers take an item from the shelf. Companies associate the correct item with the correct shopper, and the shopper is charged for all the items they grabbed when they are finished with their shopping journey. Standard Cognition, Zippin and Trigo are some of the leaders in computer vision and smart shelf technology.

Smart carts and baskets: Like Amazon’s Dash Cart, some companies are moving the AI and the sensors from the ceilings and shelves to the cart. When a shopper places an item in their cart, the cart can detect exactly which item was placed and the quantity of that item. Caper Labs, for instance, is pursuing a smart cart approach. Its cart has a credit card reader for the customer to checkout without a cashier.

Touchless checkout kiosks: Touchless checkout kiosk stations use overhead cameras that verify and charge a customer for their purchase. For instance, Mashgin built a kiosk that uses computer vision to quickly verify a customer’s items when they’re done shopping. Customers can then pay using a credit card without ever having to scan a barcode.

Self-scanning: Some companies still require customers to scan items themselves, but once items are scanned, checkout becomes quick and painless. Supersmart, for instance, built a mobile app for customers to quickly scan products as they add them to their carts. When customers are finished shopping, they scan a QR code at a Supersmart kiosk, which verifies that the items in the cart match the items scanned using the mobile app. Amazon’s Dash Cart, described above, also requires a level of human involvement in manually adding certain items to the cart.

Notably, even with the approaches detailed above, cashiers may not be going anywhere just yet because they still play important roles in the customer shopping experience. Cashiers, for instance, help to bag a customer’s items quickly and efficiently. Cashiers can also conduct random checks of customer’s bags as they leave the store and check IDs for alcohol purchases. Finally, cashiers also can untangle tricky corner cases where automated systems fail to detect or validate certain shoppers’ carts. Grabango and FutureProof are therefore building hybrid cashierless checkout systems that keep a human in the loop.

Advanced software analytics

News: Google launches Android Enterprise Essentials, a mobile device management service for small businesses

Google today introduced a new mobile management and security solution, Android Enterprise Essentials, which, despite its name, is actually aimed at small to medium-sized businesses. The company explains this solution leverages Google’s experience in building Android Enterprise device management and security tools for larger organizations in order to come up with a simpler solution for

Google today introduced a new mobile management and security solution, Android Enterprise Essentials, which, despite its name, is actually aimed at small to medium-sized businesses. The company explains this solution leverages Google’s experience in building Android Enterprise device management and security tools for larger organizations in order to come up with a simpler solution for those businesses with smaller budgets.

The new service includes the basics in mobile device management, with features that allow smaller businesses to require their employees to use a lock screen and encryption to protect company data. It also prevents users from installing apps outside the Google Play Store via the Google Play Protect service, and allows businesses to remotely wipe all the company data from phones that are lost or stolen.

As Google explains, smaller companies often handle customer data on mobile devices, but many of today’s remote device management solutions are too complex for small business owners, and are often complicated to get up-and-running.

Android Enterprise Essentials attempts to make the overall setup process easier by eliminating the need to manually activate each device. And because the security policies are applied remotely, there’s nothing the employees themselves have to configure on their own phones. Instead, businesses that want to use the new solution will just buy Android devices from a reseller to hand out or ship to employees with policies already in place.

Though primarily aimed at smaller companies, Google notes the solution may work for select larger organizations that want to extend some basic protections to devices that don’t require more advanced management solutions. The new service can also help companies get started with securing their mobile device inventory, before they move up to more sophisticated solutions over time, including those from third-party vendors.

The company has been working to better position Android devices for use in workplace over the past several years, with programs like Android for Work, Android Enterprise Recommended, partnerships focused on ridding the Play Store of malware, advanced device protections for high-risk users, endpoint management solutions, and more.

Google says it will roll out Android Enterprise Essentials initially with distributors Synnex in the U.S. and Tech Data in the U.K. In the future, it will make the service available through additional resellers as it takes the solution global in early 2021. Google will also host an online launch event and demo in January for interested customers.

News: YC-backed BuildBuddy raises $3.15M to help developers build software more quickly

BuildBuddy, whose software helps developers compile and test code quickly using a blend of open-source technology and proprietary tools, announced a funding round today worth $3.15 million.  The company was part of the Winter 2020 Y Combinator batch, which saw its traditional demo day in March turned into an all-virtual affair. The startups from the

BuildBuddy, whose software helps developers compile and test code quickly using a blend of open-source technology and proprietary tools, announced a funding round today worth $3.15 million. 

The company was part of the Winter 2020 Y Combinator batch, which saw its traditional demo day in March turned into an all-virtual affair. The startups from the cohort then had to raise capital as the public markets crashed around them and fear overtook the startup investing world.

BuildBuddy’s funding round makes it clear that choppy market conditions and a move away from in-person demos did not fully dampen investor interest in YC’s March batch of startups, though it’s far too soon to tell if the group will perform as well as others, given how long it takes for startup winners to mature into exits.

Let’s talk code

BuildBuddy has foundations in how Google builds software. To get under the skin of what it does, I got ahold of co-founder Siggi Simonarson, who worked at the Mountain View-based search giant for a little over a half decade.

During that time he became accustomed to building software in the Google style, namely using its internal tool called Blaze to compile his code. It’s core to how developers at Google work, Simonarson told TechCrunch. “You write some code,” he added, “you run Blaze build; you write some code, you run Blaze test.”

What sets Blaze apart from other developer tools is that “opposed to your traditional language-specific build tools,” Simonarson said, it’s code agnostic, so you can use it to “build across [any] programming language.”

Google open-sourced the core of Blaze, which was named Bazel, an anagram of the original name.

So what does BuildBuddy do? In product terms, it’s building the pieces of Blaze that Google engineers have access to inside the company, for other developers using Bazel in their own work. In business terms, BuildBuddy wants to offer its service to individual developers for free, and charge companies that use its product.

Simonarson and his co-founder Tyler Williams started small, building a “results UI” tool that they shared with a Bazel user group. The members of that group picked up the tool, rapidly bringing it inside a number of sizable companies.

This origin story underlines something that BuildBuddy has that early-stage startups often lack, namely demonstrable enterprise market appetite. Lots of big companies use Bazel to help create software, and BuildBuddy found its way into a few of them early in its life.

Simply building a useful tool for a popular open-source project is no guarantee of success, however. Happily for BuildBuddy, early users helped it set direction for its product development, meaning that over the summer the startup added the features that its current users most wanted. 

Simonarson explained that after BuildBuddy was initially used by external developers, they demanded additional tools, like authentication. In the words of the co-founder, the response from the startup was “great!” The same went for a request for dashboarding, and other features.

Even better for the YC graduate, some of the features requested were the sort that it intends to charge for. That brings us back to money and the round itself.

Money

BuildBuddy closed its round in May. But like with most venture capital tales, it’s not a simple story.

According to Simonarson, his startup started raising the round during one of those awful early-COVID days when the stock market dropped by double-digit percentage points in a single trading session. 

BuildBuddy’s goal was to raise $1.5 million. Simonarson was worried at the time, telling TechCrunch that it was his first time fundraising, and that he wasn’t sure if his startup was going to “raise anything at all” in that climate. 

But the nascent company secured its first $100,000 check. And then a $300,000 check, over time managing to fill out its round.

So what happened that got the company from $1.5 million to just over $3 million? The investor that put in $300,000 wanted to put in another $2 million. The company talked them down to $1.5 million at a higher cap (BuildBuddy raised its round using a SAFE), and the deal was done at those terms.

The startup initially didn’t want to raise the extra cash, but Simonarson told TechCrunch that at the time it was not clear where the fundraising environment was heading; BuildBuddy raised back when startup layoffs were a leading story, and a return to high-cadence VC rounds was months away. 

So BuildBuddy wound up securing $3.15 million to support a current headcount of four. It intends to hire, naturally, lower its comically long runway and keep building out its Bazel-focused service.

Picking a few names from the investor spreadsheet that BuildBuddy sent over — points for completeness to the startup — Y Combinator, Addition, Scribble and Village Global, among others put capital into the round.

Dev tools are hot at the moment. Given that, as soon as BuildBuddy’s ARR starts to get moving, I expect we’ll hear from them again.

News: AWS adds natural language search service for business intelligence from its data sets

When Amazon Web Services launched QuickSight, its business intelligence service, back in 2016 the company wanted to provide product information and customer information for business users — not just developers. At the time, the natural language processing technologies available weren’t robust enough to give customers the tools to search databases effectively using queries in plain

When Amazon Web Services launched QuickSight, its business intelligence service, back in 2016 the company wanted to provide product information and customer information for business users — not just developers.

At the time, the natural language processing technologies available weren’t robust enough to give customers the tools to search databases effectively using queries in plain speech.

Now, as those technologies have matured, Amazon is coming back with a significant upgrade called QuickSight Q, which allows users to just ask a simple question and get the answers they need, according to Andy Jassy’s keynote at AWS re:Invent.

“We will provide natural language to provide what we think the key learning is,” said Jassy. “I don’t like that our users have to know which databases to access or where data is stored. I want them to be able to type into a search bar and get the answer to a natural language question.

That’s what QuickSight Q aims to do. It’s a direct challenge to a number of business intelligence startups and another instance of the way machine learning and natural language processing are changing business processes across multiple industries.

“The way Q works. Type in a question in natural language [like]… ‘Give me the trailing twelve month sales of product X?’… You get an answer in seconds. You don’t have to know tables or have to know data stores.”

It’s a compelling use case and gets at the way AWS is integrating machine learning to provide more no-code services to customers. “Customers didn’t hire us to do machine learning,” Jassy said. “They hired us to answer the questions.”

News: AWS announces DevOps Guru to find operational issues automatically

At AWS re:Invent today, Andy Jassy announced DevOps Guru, a new tool for DevOps teams to help the operations side find issues that could be having an impact on an application performance. Consider it like the sibling of CodeGuru, the service the company announced last year to find issues in your code before you deploy.

At AWS re:Invent today, Andy Jassy announced DevOps Guru, a new tool for DevOps teams to help the operations side find issues that could be having an impact on an application performance. Consider it like the sibling of CodeGuru, the service the company announced last year to find issues in your code before you deploy.

It works in a similar fashion using machine learning to find issues on the operations side of the equation. “I’m excited to launch a new service today called Amazon DevOps Guru, which is a new service that uses machine learning to identify operational issues long before they impact customers,” Jassy said today.

The way it works is that it collects and analyzes data from application metrics, logs, and events “to identify behavior that deviates from normal operational patterns,” the company explained in the blog post announcing the new service.

This service essentially gives AWS a product that would be competing with companies like Sumo Logic, DataDog or Splunk by providing deep operational insight on problems that could be having an impact on your application such as misconfigurations or resources that are over capacity.

When it finds a problem, the service can send an SMS, Slack message or other communication to the team and provides recommendations on how to fix the problem as quickly as possible.

What’s more, you pay for the data analyzed by the service, rather than a monthly fee. The company says this means that there is no upfront cost or commitment involved.

News: Voi, the European ‘micro mobility’ rental company, raises $160M additional equity and debt funding

Voi, the Stockholm-headquartered micro mobility company known for its e-scooter rentals, has raised $160 million in new funding. The round, about two thirds equity and one third debt, is led by The Raine Group. Others participating include VNV Global, Balderton, Creandum, Project A, Inbox, and “sustainability-focused investor” Stena Sessan, along with individual backers with links

Voi, the Stockholm-headquartered micro mobility company known for its e-scooter rentals, has raised $160 million in new funding. The round, about two thirds equity and one third debt, is led by The Raine Group.

Others participating include VNV Global, Balderton, Creandum, Project A, Inbox, and “sustainability-focused investor” Stena Sessan, along with individual backers with links to tech companies such as Delivery Hero, Klarna, iZettle, Zillow, Kry/Livi and Amazon.

Voi co-founder and CEO Fredrik Hjelm says the company — which competes with the likes of Bird, Tier, Bolt and Lime — has secured an “asset-backed” debt facility tied to the scooters and e-bikes it will have on its books in 2021.

The idea is that, having proven its model can be sustained, capital funnelled into the expense of purchasing the vehicles needed to expand the service, can be secured against those assets, even if they will depreciate relatively quickly over time.

“I think, going forward, we will increase the debt ratio to equity,” he tells me. “What you wanna avoid, of course, as a startup, is dilution. We want as much debt as possible because we want cash to grow because we think we can have good ROI in capital. But the debt market is usually closed for startups, until they get to a very proven business model”.

Hjelm says, as the unit economics improved, which Voi has shown by becoming operationally profitable for a few months this year on a group level, it puts the company in a position where, coupled with enough historical data, it can understand “the payback” time on vehicles. This means a financing model similar to rental car companies, or other companies with assets that have a proven value, becomes more of a possibility.

Once it’s proven to work, he says in 6-9 months from now Voi hopes to be able to increase the debt facility. “Probably you will never write about Voi raising equity again,” Hjelm teases, likely in reference to my scooping one of the company’s earlier funding rounds.

By thinking about and funding the vehicles and the operations as two separate parts of the business, it also points to where the Voi founder believes the industry and his company in particular, is heading. “I think the direction we’re going is, we’re becoming more and more of a tech enabled infrastructure company,” he says, comparing it to a telco or other infrastructure plays.

This makes more sense when you consider that many cities around the world are holding tendering processes and only licensing two or three and sometimes only a single provider. And it’s here where Voi has also made good transaction over the last year — sped by the Coronavirus pandemic which has forced cities to open up micro mobility services faster in order to offer an alternative to packed trains and busses.

“With major new markets, including the U.K. opening up to e-scooter mobility solutions, Voi has become Europe’s preferred operator, winning over 2/3 of city license tenders across Europe, including recent wins in Birmingham, Liverpool, Bern and Cambridge,” says Voi.

A decision on which operators are awarded London’s tender is expected on December 14th. Up to three operators will be selected to operate trials, which are due to start in Spring 2021.

Voi says the new funding will be used to invest in technology platform development, fuel growth in current Voi markets and bring Voi’s latest e-scooter model — Voiager 4 — to more cities. In addition, Voi will use funds to further enhance the safety infrastructure of its platform, “the company’s number one priority,” says the company.

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