Browsing Tag: Startups

Amazon and others have raised awareness of how the in-store shopping experience can be sped up (and into the future) using computer vision to let a person pay for and take away items without ever interacting with a cashier, human or otherwise. Today, a startup is announcing funding for its own take on how to use AI-based video detection get more insights out of the retail experience. Deep North, which has built an analytics platform that builds insights for retailers based on the the videos from the CCTV and other cameras that those retailers already use, is today announcing that it has raised $25.7 million in funding, a Series A round that it plans to use to continue expanding its platform.

Deep North’s AI currently measures such parameters as daily entries and exits; occupancy; queue times; conversions and heat maps — a list and product roadmap that it’s planning to continue growing with this latest investment. It says that using cameras to build its insights is more accurate and scalable than current solutions that include devices like beacons, RFID tags, mobile networks, smartphone tracking and shopping data. A typical installation takes a weekend to do.

The funding is being led by London VC Celeres Investments (backer of self-driving startup Phantom AI, among others), with participation also from Engage, AI List Capital and others. The startup is not disclosing its valuation, and previously Deep North has not disclosed how much it has raised.

Previously known as VMAXX, the Bay Area-based startup, according to CEO and co-founder Rohan Sanil, currently is in use by customers in the US and Europe. It does not disclose customer names, but Sanil said the list includes shopping centers, retailers, commercial real estate businesses and transportation hubs.

There are a number of retail analytics plays on the market today, but up to now the vast majority of them have been based on using other kinds of non-visual (and non-video) data to build their pictures of how a business is working, including logs of sales, card payments, in-store beacons, in-store WiFi and smartphone usage.

This list is, indeed, extensive and already provides a startling amount of data on the average shopper, but it has its drawbacks. Some people don’t use in-store WiFi; beacons are not as ubiquitous as CCTV; certain shopping data is a false positive, in the sense that if you don’t buy anything, it’s harder to track why not and where everything went wrong in getting you to shop; and perhaps, most importantly, you can’t see how shoppers are behaving, where they are looking and walking.

“The data collected [by these other means] is only 30-60% accurate and then extrapolated,” Sanil notes in a blog post. And that is not the only challenge. “The other is the enormous cost of the technology along with the software – which requires a team of programmers to get anything beyond stock analysis – plus being locked into a single vendor.”

Video systems “make a lot more sense,” he adds, and so does using those that are already installed in retailers’ locations. “The customers we see have no interest in deploying and paying for additional infrastructure, when the average store has several cameras already, and a typical big box store has dozens. Making our vision work means quantifying what a camera can see – and seeing through the cameras already in use.” The company typically integrates with 60-70% of a company’s installed cameras to run its analytics.

It’s that differentiation that has attracted investors. “Deep North’s platform allows retailers to gain real time insights on data points that were previously unattainable in the physical world. By leveraging existing video footage to understand activity and behavior, operators can now make informed decisions with the help of their prescriptive analytics engine,” said Azhaan Merchant of Celeres Investments, in a statement.

CCTV has had a problematic profile in the world of data privacy, where people pinpoint it as enemy number one in our rapidly expanding surveillance economy, and have ironically pointed out that it rarely is fit for the purpose it was originally set out to serve, which is deterring and identifying shoplifters. It’s notable to me that Deep North doesn’t actually ever use the term CCTV. (“Customers use a variety of terms for their cameras including CCTV, camera networks and loss prevention cameras so we’ve chosen to use a broader term that encompasses them,” a spokesperson said.)

Whatever you choose to call them, if a retailer has already made the leap into having these cameras installed, using them for analytics gives that business another way of getting a better return on investment. Sanil says that in any case, its platform is respectful of privacy.

“Deep North is not able to ascertain the identity of any individual captured via in-store footage,” he said. “We have no capability to link the metadata to any single individual. Further, Deep North does not capture personally identifiable information (PII) and was developed to govern and preserve the integrity of each and every individual by the highest possible standards of anonymization. Deep North does not retain any PII whatsoever, and only stores derived metadata that produces metrics such as number of entries, number of exits, etc. Deep North strives to stay compliant with all existing privacy policies including GDPR and the California Consumer Privacy Act.” (It has operations in Europe where it would need to comply with GDPR.)

Still, Deep North’s combination of computer vision with retail technology is a signal of a bigger trend. Many providers of security cameras have started to incorporate retail analytics into their wider offerings, and those that are concentrating on check out, like Amazon but also startups like Trigo, are likely also to consider this area too. Longer term, as retailers, but also their IT providers, look to get more intelligence about how their businesses are working in a bid for better margins, we’re likely to see even more players in this space.

For Deep North, that might mean also expanding into a wider set of products that not only are able to generate insights into how people shop, but then to use to those to build recommendations into how stores are laid out, or prompts to shoppers for what they might consider next as they browse.

Source: Tech Crunch Startups | Deep North raises .7M for AI that uses CCTV to build retail analytics

Hello and welcome back to our regular morning look at private companies, public markets and the gray space in between.

A few weeks ago, Uber and Lyft, kicking bags of the 2019 stock market and regularly cited as examples of venture-backed excess, were back to fighting form.

After encouraging Q3 2019 reports from both ride-hailing giants that included fresh profitability promises and timelines, Uber upped the ante by moving its profitability goal up when it reported Q4 results earlier this year. Shares of the famous company rallied. When Lyft failed to mimic the declaration in its own Q4 earnings report, it was dinged by investors. But from the time of their Q3 2019 earnings reports to recently, Uber and Lyft were coming back up for air.

Suddenly, it was perfectly reasonable to be optimistic about the two ride-hailing companies that had become more famous for their sticky losses than their growth potential; as the pair had matured from upstart to public company, their money-losing methods appeared increasingly permanent, making the Q3 2019 and Q4 2019 profit declarations investor balm.

But after the rally came the novel coronavirus and COVID-19. Since then, the two companies have lost huge amounts of ground. Their shares fell 9.8% (Uber) and 11.8% (Lyft) yesterday alone. In pre-market trading this morning, they are down even more. I wanted to get my head around what could be causing this, so let’s run through each company’s most recent profit forecasts, results, share price gains and losses, and what investors are telling the world through their recent selloff. (Hint: DoorDash’s IPO probably isn’t happening soon.)

Source: Tech Crunch Startups | Uber and Lyft plunge, erasing recent gains after promising profits

Legionfarm, a YC-backed company, is looking to bring coaches to the competitive gaming world. Esports teams at the very top often have coaches, but the rest of the massive competitive gaming scene has to find a way to improve on their own, either via sheer time played or with creative new training platforms.

There is a huge demand for skilled teammates that can help you hone your skills, while at the same time, there is a broad community of near-pro gamers who haven’t landed a spot on an esports team and want to earn a living with their skills.

Legionfarm is a platform built to solve both problems.

The company was founded by Alex Belyankin, who is a former pro gamer and was once in the top .01 percent of World of Warcraft players.

Competitive gamers can sign up to become a coach on the platform, going through a process that looks at their stats within a particular title. Less than the top 0.1 percent are accepted as coaches and told how to manage sessions, including asking the customer’s goal at the beginning of the session.

On the other side, gamers can pay to play with one (or two) of these coaches in hour-long increments. Legionfarm allows users to specify if they want to play with two coaches, one coach and a friend, or one coach and another customer.

Users can also determine what kind of lobby they want to enter, such as a public or a ranked lobby.

Here’s how it works.

When a user buys a session on the website, they are given instructions to join a Discord bot, which puts them in game chat with the coaches and asks for their gamertag for that specific title. The coaches then invite the customer to a lobby, and fire up the match.

To be clear, Legionfarm coaches are not coming from the same pool of streamers and pro gamers we’ve come to know and cheer on in the esports world. Rather, Legionfarm seeks out the very best and most skilled amateur players based on the publisher’s rankings and stats to become coaches. These are people who otherwise aren’t making money via Twitch or a salary via an esports organization, but are still in the top 0.1 percent of gamers by skill.

In other words, Legionfarm is creating pro gamers, rather than hiring them.

The average cost of a session is $16/hour, with Legionfarm taking half of the revenue and the rest going to the coach.

Legionfarm currently offers nine titles to choose from, including Apex Legends, Fortnite, CoD: Modern Warfare 2019, League of Legends, and Destiny 2. The company has run more than 300,000 gaming sessions with its 7,000 coaches.

Legionfarm is currently available via the web and through a Facebook Messenger bot, with plans to launch an app soon. Founder and CEO Alex Belyankin also teased new functionality that would allow Twitch viewers to request a session with the streamer directly from the chat.

Legionfarm has raised a total of $1.7 million from TMT Investments and Y Combinator, and will present at Y Combinator’s upcoming demo day.

Source: Tech Crunch Startups | YC-backed Legionfarm lets competitive gamers pay to play with pro coaches

Vault, an at-home healthcare practice specializing in men’s medicine has announced the raise of $30 million in funding from Tiger Capital Group, Declaration Capital and Redesign Health to reach more potential patients and expand to more areas beyond New York, Florida, Tennessee and Texas, where it currently offers treatments.

Founder and CEO Jason Feldman, who formerly headed Amazon’s Prime Video Direct and Global Innovation teams before launching Vault last summer, told TechCrunch his startup aims to bring specialized medicine into men’s homes to give them “a better body, better sex and a better brain.”

He tells TechCrunch he started the company after noticing how many of his male friends seemed embarrassed about medical conditions or simply didn’t know they could do something about it.

Vault operates on the assumption men face certain barriers to going to the doctor for things like hormonal imbalance and erectile dysfunction. The startup tries to remove these barriers by making it easy to book at-home appointments and get a work-up with a nurse practitioner.

“I want to de-stigmatize men’s health.” Feldman told TechCrunch. “You tell a guy to go see the doctor about his heart health and he likely won’t but you tell him you’ll bring him a doctor to help his penis and it’s a different story.”

Like many new concierge medical services that have popped up in the last few years, Vault does not take insurance, instead signing patients up via membership for $133 to $300 per month, depending on the type of service you sign up for. Compare that to Forward, which caters to both men and women and offers unlimited in-office visits and testing for $149/month or Roman, a men’s “digital clinic,” which offers free online evaluations, $15 doctor’s visits and prescription medications for similar services to Vault like erectile dysfunction, hair loss and testosterone support — although Roman requires patients see a physical doctor of their choosing within the last three years before they’re able to get prescriptions via digital services.

But Feldman doesn’t think his startup is anything like what’s out there right now, claiming it as the first national men’s healthcare provider. Vault offers specialty packages like testosterone therapy or the “sex kit” for an increased sex drive or stronger erections, something that sometimes diminishes as men age.

So far, Feldman has signed up over 500 medical practitioners to come to various home locations and has hired a chief medical officer to ensure medical standards are being met. He now plans to use the new funding to open up operations in 42 cities across the U.S. and work on spreading the word to all men nationwide that Vault is here for them.

Source: Tech Crunch Startups | Men’s at-home health startup Vault takes in million from Tiger Capital

Blade, the French startup behind Shadow, announced plans to overhaul its subscription tiers back in October. The company is now bringing the new plans to the U.S. with a new entry tier at $11.99 per month as well as more powerful options in the coming months.

Shadow is a cloud computing service for gamers. For a monthly subscription fee, you can access a gaming PC in a data center near you. Compared to other cloud gaming services, Shadow provides a full Windows 10 instance. You can install anything you want — Steam, Photoshop or Word.

The current subscription tier, now called Shadow Boost, offers the same performance for a lower price. You get an Nvidia GTX 1080 GPU, 3.4GHz with 4 cores CPU, 12GB of RAM, 256GB of storage. It costs $11.99 per month if you sign up to a 12-month plan or $14.99 per month if you pay on a monthly basis.

Later this year, Shadow will also offer two additional plans:

• Shadow Ultra: Nvidia RTX 2080 GPU, 4GHz with 4 cores CPU, 16GB of RAM, 512GB of storage
• Shadow Infinite: Nvidia Titan RTX GPU, 4 GHz with 6 cores CPU, 32GB of RAM, 1TB of storage

These plans will cost $24.99 and $39.99 per month respectively if you subscribe to a 12-month plan — or $29.99 and $49.99 per month on a monthly basis.

Shadow Ultra and Shadow Infinite will roll out gradually starting this summer — only a limited number of users will be able to subscribe at first.

It’s worth noting that you’ll be able to add an option to get more storage with any plan. Storage plans include 256GB of SSD performance — anything above that will perform like a more traditional HDD.

The company now has four data centers in the U.S., which means that anybody in the U.S. can now access the service — not just people living on the West Coast or the East Coast.

In Europe, Shadow has had issues rolling out the new plans. While the company originally promised to deliver the new options in February, users who pre-ordered the new plans will only be able to access their new instance by the end of the summer.

Shadow offers apps for Windows, macOS, Linux, Android and Apple devices. Apple recently pulled Shadow’s apps from the App Store on iOS, iPadOS and tvOS. The company is still trying to find a solution with Apple to re-release the apps in the App Store.

In other news, the startup has signed a strategic partnership with LG Electronics. Details are thin, but LG is now a shareholder of the company. LG will also offer Shadow with some of its products.

Source: Tech Crunch Startups | Cloud gaming platform Shadow brings its new plans to the US

Unitary, a startup that’s developing AI to automate content moderation for “harmful content” so that humans don’t have to, has picked up £1.35 million in funding. The company is still in development mode but launched a trial of its technology in September.

Led by Rocket Internet’s GFC, the seed round also includes backing from Jane VC (the cold email-friendly firm backing female-led startups), SGH Capital, and a number of unnamed angel investors. Unitary had previously raised pre-seed funding from Entrepreneur First, as an alumnus of the company builder program.

“Every minute, over 500 hours of new video footage are uploaded to the internet, and the volume of disturbing, abusive and violent content that is put online is quite astonishing,” Unitary CEO and co-founder Sasha Haco, who previously worked with Stephen Hawking on black holes, tells me. “Currently, the safety of the internet relies on armies of human moderators who have to watch and take down inappropriate material. But humans cannot possibly keep up”.

Not only is the volume of content uploaded ever-increasing, but the people employed to moderate the content on platforms like Facebook can suffer greatly. “Repeated exposure to such disturbing footage is leaving many moderators with PTSD,” says Haco. “Regulations are responding to this crisis and putting increasing pressure on platforms to deal with harmful content and protect our children from the worst of the internet. But currently, there is no adequate solution”.

Which, of course, is where Unitary wants to step in, with a stated mission to “make the internet a safer place” by automatically detecting harmful content. Its proprietary AI technology, which uses “state of the art” computer vision and graph-based techniques, claims to be able to recognise harmful content at the point of upload, including “interpreting context to tackle even the more nuanced videos,” explains Haco.

Meanwhile, although there are already several solutions offered to developers that can detect restricted content that is more obvious, such as explicit nudity or extreme violence (AWS, for example, has one such API), the Unitary CEO argues that none of these are remotely good enough to “truly displace human involvement”.

“These systems fail to understand more subtle behaviours or signs, especially on video,” she says. “While current AI can deal well with short video clips, longer videos still require humans in order to understand them. On top of this, it is often the context of the upload that makes all the difference to its meaning, and it is the ability to incorporate contextual understanding that is both extremely challenging and fundamental to moderation. We are tackling each of these core issues in order to achieve a technology that will, even in the near term, massively cut down on the level of human involvement required and one day achieve a much safer internet”.

Source: Tech Crunch Startups | Unitary, an EF alumnus, raises £1.3M seed for its content moderation AI

Augmented reality headset maker Magic Leap has struggled with the laws of physics and failed to get to market. Now it’s seeking an acquirer, but talks with Facebook and medical goods giant Johnson & Johnson led nowhere according to a new report from Bloomberg’s Ed Hammond.

After raising over $2 billion and being valued between $6 billion and $8 billion back when it still had momentum, Hammond writes that “Magic Leap could fetch more than $10 billion if it pursues a sale” according to his sources. That price seems ridiculous. It’s the kind of number a prideful company might strategically leak in hopes of drumming up acquisition interest, even at a lower price.

Startups have been getting their valuations chopped when they go public. The whole economy is hurting due to coronavirus. Augmented Reality seems less interesting than virtual reality with people avoiding public places. Getting people to strap used AR hardware to their face for demos seems like a tough sell for the forseeable future.

No one has proven a killer consumer use case for augmented reality eyewear that warrants an expensive and awkward-to-wear gadget. Our phones can already deliver plenty of AR’s value while letting you take selfies and do video chat that headsets can’t. My experiences with Magic Leap at Sundance Film Festival last year were laughably disappointing, with its clunky hardware, ghostly projections, and narrow field of view.

Apple and Facebook are throwing the enduring profits of iPhones and the News Feed into building a better consumer headset. Snapchat has built intermediary glasses since CEO Evan Spiegel thinks it will be a decade before AR headsets see mainstream adoption. AR rivals like Microsoft have better enterprise experience, connections, and distribution. Enterprise AR startup Daqri crashed and burned.

Magic Leap’s CEO said he wanted to sell 1 million of its $2300 headset in its first year, then projected it would sell 100,000 headsets, but only moved 6,000 in the first six months, according to a daming report from The Information’s Alex Heath. Alphabet CEO Sundar Pichai left Magic Leap’s board despite Google leading a $514 million funding round for the startup in 2014. Business Insider’s Steven Tweedie and Kevin Webb revealed CFO Scott Henry and SVP of creative strategy John Gaeta bailed in November. The company suffered dozens of layoffs. It lost a $500 million contract to Microsoft last year. The CEOs of Apple, Google, and Facebook visited Magic Leap headquarters in 2016 to explore an acquisition deal, but no offers emerged.

Is AR eyewear part of the future? Almost surely. And is this startup valuable? Certainly somewhat. But Magic Leap may prove to be too little too early for a company burning cash by the hundreds of millions in a market newly fixated on efficiency. A $10 billion price tag would require one of the world’s biggest corporations to believe Magic Leap has irreplicable talent and technology that will earn them a fortune in the somewhat distant future.

The fact that Facebook, which does not shy from tall acquisition prices, didn’t want to buy Magic Leap is telling. This isn’t a product with hundreds of millions of users or fast-ramping revenue. It’s a gamble on vision and timing that looks to be coming up snake eyes. It’s unclear when the startup would ever be able to deliver on its renderings of flying whales and living room dinosaurs in a form factor people actually want to wear.

One of Magic Leap’s early renderings of what it could supposedly do

With all their money and plenty of time before widespread demand for AR headsets materializes, potential acquirers could likely hire away the talent and make up the development time in cheaper ways than buying Magic Leap. If someone acquires them for too much, it feels like a write-off waiting to happen.

Source: Tech Crunch Startups | Desperate to exit, a B price tag for Magic Leap is crazy

Superpeer is giving YouTube creators and other experts a new way to make money.

The startup announced today that it has raised $2 million in pre-seed funding led by Eniac Ventures, with participation from angel investors including Steven Schlafman, Ankur Nagpal, Julia Lipton, Patrick Finnegan, Justin De Guzman, Chris Lu, Paul Yacoubian and Cheryl Sew Hoy. It also launched on ProductHunt.

The idea is that if you’re watching a video to learn how to paint, or how to code, or about whatever the topic might be, there’s a good chance you have follow-up questions — maybe a lot of them. Ditto if you follow someone on Twitter, or read their blog posts, to learn more about a specific subject.

Now you could try to submit a question or two via tweet or comment section, but you’re probably not going to get any in-depth interaction — and that’s if they respond. You could also try to schedule a “Can I pick your brain?”-type coffee meeting, but again, the odds aren’t in your favor, particularly when it comes to picking the brain of someone famous or highly in-demand.

With Superpeer, experts who are interested in sharing their knowledge can do so via remote, one-on-one video calls. They upload an intro video, the times that they want to be available for calls and how much they want to charge for their time. Then Superpeer handles the appointments (integrating directly with the expert’s calendar), the calls and the payments, adding a 15% fee on top.

So a YouTube creator could start adding a message at the end of their videos directing fans who want to learn more to their Superpeer page. And if you’re a founder who wants to talk to an experienced designer, executive coach, product manager, marketing/sales expert, VC or other founder, you could start with this list.

Of course, there might be some wariness on both sides, whether you’re an expert who doesn’t want to get stuck on the phone with someone creepy or annoying, or someone who doesn’t want to pay for a call that turns out to be a complete waste of time.

To address this, co-founder and CEO Devrim Yasar (who previously founded collaborative programming startup Koding) said the company has created a user rating system, as well as a way to ask for a refund if you feel that a call violated the terms of service — the calls will be recorded and stored for 48 hours for this purpose.

Superpeer launched in private beta two weeks ago, and Yasar said the startup already has more than 100 Superpeers signed up.

Source: Tech Crunch Startups | Superpeer raises M to help influencers and experts make money with one-on-one video calls

What do you do when you’re rich in cryptocurrencies but you don’t want to sell your positions? The company named Blockchain thinks it has found a solution. It lets you borrow money against cryptocurrencies held in your Blockchain wallet.

As soon as you lock cryptocurrencies in your wallet, you receive USD PAX, a stablecoin that is pegged against USD. You can then convert, send and do whatever you want with your stablecoins. You can pay back your loan whenever you want.

The minimum loan size is $1,000 and Blockchain requires a collateralization ratio of 200%. It means that if you want to borrow $5,000, you need to put down the equivalent of $10,000 in cryptocurrencies as collateral.

Blockchain charges interest on loans. Your interest rate may vary but the company tries to be transparent about it before you accept the loan. By default, Blockchain uses your collateral to collect interest. Be careful with the value of your cryptocurrencies, as your collateral could end up losing a ton of value even though you still owe USD.

Behind the scene, Blockchain is running a lending desk for institutional investors. The company launched this feature back in August. Blockchain thinks that it has built a strong liquidity pool that it can leverage with retail investors.

Users in the U.S., Canada and the U.K. are not eligible to the feature for now. Blockchain only accepts collateral in BTC for now.

Source: Tech Crunch Startups | Blockchain (the company) lets you borrow USD PAX against collateral

Meet Alma, a French startup that helps you offer a new payment option for your expensive goods. Like Klarna, clients can choose to pay over three or four installments. But the comparison stops here, as Klarna isn’t available in France. Alma just raised a $14.1 million (€12.5 million) funding round.

Idinvest, ISAI and Picus Capital are investing in today’s funding round. Additionally, Alma has opened a $19.2 million (€17 million) credit line to finance merchant payments.

As a merchant, when you integrate Alma in your payment flow, your customers can choose Alma to make it less intimidating. Instead of getting charged when you pay, you can choose to buy now and pay over three or four installments. Merchants get paid instantly.

“We handle risk and cash advance in house,” co-founder and CEO Louis Chatriot told me. “When it comes to the risk of non-payment, we have implemented a series of verifications, filters and algorithms in order to detect fraud and high-risk profiles.”

The company creates multiple categories depending on your profile. It can ask for more information if Alma has some doubts, such as API access to your bank statement. Assessing risk is particularly difficult in France, as there’s no central credit scoring system.

Merchants can choose to pay the processing fees in full — 3.8% of the transaction for a payment in three intallments, 4.2% for a payment in four installments. But they also can share the processing fees with the end customer.

Alma is compatible with most e-commerce platforms, such as Shopify, Magento and Prestashop. Merchants can also offer Alma as a payment option in retail stores.

Over 1,000 merchants are using Alma already — the startup processes tens of millions of euros of transactions per year. Clients include Bobbies, Asphalte, Cowboy, Weebot, The Cool Republic and The Socialite Family.

With today’s funding round, the company wants to attract more merchants and launch two new payment options — pay later and a more traditional option to pay now. In addition to that, Alma currently redirects customers to its own checkout page. The startup wants to integrate its payment widget directly on e-commerce websites.

Source: Tech Crunch Startups | Alma is a Klarna-like payment startup that lets you buy now and pay later