Industrial robots startup Gideon Brothers raises $765K led by TransferWise co-founder

Gideon Brothers, an ambitious startup out of Croatia that is building autonomous robots to put to work in warehouses and other industrial logistics, has quietly raised $765,000 in funding.

The round is led by TransferWise co-founder Taavet Hinrikus, who has become an increasingly active investor, recently backing fintech Cleo, legal tech startup Juro, and satellite company Open Cosmos. Ex-Wired U.K. editor David Rowan and a number of unnamed Croatian angels have also participated in Gideon Brothers’ seed round.

Founded in early 2017 and comprising a 40-plus team of deep learning and robotics experts — which includes 5 PhDs and 27 Masters of Hardware and Software engineering and other related disciplines — the company is developing an AI-powered robot for various industrial applications.

Dubbed “The Brain,” the technology combines 3D computer vision and deep learning to enable Gideon Brothers’ robots to be aware of their environment and operate autonomously, similar to self-driving vehicles.

“We have been developing a technology we call a ‘robot brain’,” co-founder and CEO Matija Kopic tells me. “We believe that robots of the future will rely on the same type of vision that you and I rely on, which is basically stereo vision. We’ve deployed deep learning on top of stereo vision to give our robots a new type of perception of their environment”.

The startup’s first product is described as an “autonomous and modular intralogistics robot” that is capable of safely handling large pallets in manufacturing, warehouse and commercial environments. It is designed to work alongside humans, with minimal changes to a facility, negating the need for prohibitively expensive retrofitting or investing in brand new robot-enabled buildings, which is the route that Amazon has gone down.

More broadly, Gideon Brothers wants to help address current labour shortages in industrial logistics. Citing a research brief by DHL, Gideon Brothers says that demand for supply chain professionals exceeds supply by a ratio of six to one. The work is often painstakingly dull and physically demanding, meaning that turnover can be as high as 40 percent.

“[We use] a combination of camera-based 3D vision, primarily powered by deep learning algorithms to make sure that our robot, whatever it ends up doing, is aware of its surroundings and the dynamics that exist in these old school industrial facilities which are not highly structured or highly organised like, for example, e-commerce environments are,” adds Kopic.

“We are targeting the remaining 90 percent of the world’s industrial facilities that are completely old school, traditional and centered around human beings as the drivers of those facilities and the business model”.

In practice, this means that instead of workers rushing around a warehouse taking orders from a computer-generated voice or a scanner, and then moving several tons of product around (the so-called “man-to-goods” model), the Gideon Brothers’ robot brings the goods to the worker. It receives instructions from the Gideon Brothers fleet management system, which is integrated into an operator’s Warehouse Management System.

“It goes to the pallet position it has been sent to, lifts it off the frame it is sitting on and transports the entire pallet to a commissioning or “picking” area where workers take the product that need to be packed onto another customer-specific pallet. The robot then returns the original pallet back to its original position – autonomously and safely. The workers don’t have to zoom around and can focus on more complex tasks like picking,” explains Kopic.

If all of that sounds incredibly ambitious for a European startup that has raised less than $1 million, it’s because it is. However, Kopic says that by setting up shop in Croatia he has been able to recruit a very specialist team while keeping costs much lower than direct competitors. It also has the advantage of being close to a number of facilities where the startup is currently testing its robots, including being given access to much-needed warehouse logistics data.

Investor Hinrikus echoes this sentiment. “[Gideon Brothers is] building a killer deep tech team. This will be the best team of deep tech talent to the east from here (well, before we get to China),” he tells me.

With its goofy video loops, YC backed Splish wants to be the ‘anti-Instagram’

Is there any space on kids’ homescreens for another social sharing app to poke in? Y Combinator backed Splish wants to have a splash at it () — with a super-short-form video and photo sharing app aimed at the under-25s.

The SF-based startup began bootstrapping out of their college dorm rooms last July, playing around with app ideas before settling on goofy video loops to be their social sharing steed of choice.

The Splish app pops content into video loops of between 1-5 seconds. Photos can be uploaded too but motion must be added in the form of an animated effect of your choice. So basically nothing on Splish stays still. (Hence its watery name.) But while wobbly, content on Splish is intended to stick around — rather than ephemerally pass away (a la snaps).

Here are a few examples of Splishes (embedded below as GIFs… but you can see them on its platform here, here and here):

 

It’s the first startup for the four college buddy co-founders: Drake Rehfeld, Alex Pareto, Jackson Berry and Zac Denham, though between them they’ve also clocked up engineering hours working for Snapchat, Facebook and Team 10.

Their initial web product went up in March and they landed a place on YC’s program at the start of May —  when they also released their iOS app. An Android app is pending, and they’ll be on the hunt for funding come YC demo day.

The gap in the social sharing market this young team reckons it’s spotted is a sort of ‘anti-Instagram’ — offering a playful contrast to the photo sharing platform’s polished (and at times preening) performances.

The idea is that sharing stuff on Splish is a bonding experience; part of an ongoing smartphone-enabled conversation between mates, rather than a selectively manicured photoshoot which also has to be carefully packaged for public ‘gram consumption.

Splish does have a public feed, though, so it’s not a pure messaging app — but the co-founders say the focus is friend group sharing rather than public grandstanding.

“Splish is a social app for sharing casual looping videos with close friends,” says Rehfeld, giving the team’s elevator pitch. “It came out of our own experience, and we’re building for ourselves because we noticed that the way you socialize right now in real life is you do activities with your friends. You go to the beach, you go to the bar, the bowling alley. We’re working to bring this same type of experience online using Splish through photo and video. So it’s more about interaction and hanging out with your friends online.”

“When you use Instagram you really feel like you’re looking at a magazine. It’s just the highlights of people’s lives,” he adds. “And so we’re trying to make a place where you’re getting to know your friends better and meeting new people as well. And then on the other side, on Snapchat, you’re really sharing interesting moments of your lives but it’s not really pushing the boundaries or creating with your friends. It’s more just a communication messaging tool.

“So it’s kind of the space in between broadcast and chat — talking and interacting with your close friends through Splish, through photo and video.”

Users of the Splish app can apply low-fi GIF(ish) retro filters and other photographic effects (such as a reverse negative look) to the video snippets and photos they want to send to friends or share more widely — with the effects intended to strip away at reality, rather than gloss it over. Which means content on Splish tends to look and feel grungy and/or goofy. Much like an animated GIF in fact. And much less like Instagram.

The team’s hope is the format adds a bit of everyday grit and/or wit to the standard smartphone visual record, and that swapping Splishes gets taken up as a more fun and casual way of communicating vs other types of messaging or social sharing.

And also that people will want to use Splish to capture and store fun times with friends because they can be checked out again later, having been conveniently packaged for GIF-style repeat lols.

“Part of the power here in Splish is that relationships are built on shared experiences and nostalgia and so while [Snapchat-style] ephemerality reduced a lot of the barriers for posting what it didn’t do is strengthen relationships long term or over time because the chats and the photos disappeared,” says Rehfeld.

The idea is a content format to gives people “shared experience that lasts”, he adds.

They’re also directly nudging users to get creative via a little gamification, adding a new feature (called Jams) that lets users prompt each other to make a Splish in response to a specific content creation challenge.

And filming actual (playful) physical shoulder pokes has apparently been an early thing on Splish. That’s the merry-go-round of social for ya.

Being a fair march north of Splish’s target age-range, I have to confess the app’s loopy effects end up triggering something closer to motion sickness/vertigo/puking up for me. But words are my firm social currency of choice. Whereas Rehfeld argues the teenager-plus target for Splish is most comfortable with a smartphone in its hand, and letting a lens tell the tale of what they’re up to or how they’re feeling.

“We started with that niche first because there’s a population in that age range that really enjoys this creative challenge of expressing yourself in pretty intuitive ways, and they understand how to do that. And they’re pretty excited about it,” he tells TechCrunch.

“There’s also been a little bit of a shift here where users no longer just capture what they have in real-life using the camera, but the camera’s used as an extension of communication — especially in that age range, where people use the camera as part of their relationship, rather than just capturing what happens offline.”

As with other social video apps, vertical full screen is the preferred Splish frame — for a more “immersive experience” and, well, because that’s how the kids do it.

“It’s the way users, especially in this age range, hold and use their phones. It’s pretty natural to this age range just because it’s what they do everyday,” he says, adding: “It’s just the best way to consume on the phone because it fills the whole screen, it’s how you were already using the phone before you clicked into the video.”

Notably, as part of the team’s soft-edged stance against social media influencer culture, Rehfeld says Splish is choosing not to bake “viral components” into the app — ergo: “Nobody’s rewarded for likes or ‘re-vines’. There’s no reblog, retweet.”

Although, pressed on how firm that anti-social features stance is, he concedes they’re not abandoning the usual social suite entirely — but rather implementing that sort of stuff in relative moderation.

“We have likes and we have a concept of friends or follows but the difference is we’re building those with the intention of not incentivizing virality or ‘influencership’,” he says. “So we always release them with some sort of limit, so with likes you can’t see a list of everybody who’s liked a post for example. So that’s one example of how we’ve, kind of, brought in a feature that people feel comfortable with and love but with our own spin that’s a little bit less geared towards building a following.”

Asked if they’re trying to respond to the criticism that’s been leveled at a lot of consumer technology lately — i.e. that it’s engineered to be highly and even mindlessly addictive — Rehfeld says yes, the team wants to try and take a less viral path, less well travelled, adding: “We’re building as much as possible for user experience. And a lot of the big brands build and optimize towards engagement metrics… and so we’re focused on this reduction of virality so that we can promote personal connections.”

Though it will be interesting to see if they can stick to medium-powered stun guns as they fight to carve out a niche in the shadow of social tech’s attention-sapping giants.

Of course Splish’s public feed is a bit of a digital shop window. But, again, the idea is to make sure it’s a casual space, and not such a perfectionist hothouse as Instagram.

“The way the product is built allows people to feel pretty comfortable even in the more public feeds, the more featured feeds,” adds Rehfeld. “They post still very casual moments, with a creative spin of course. So it’s stayed pretty similar content, private and public.”

Short and long

It’s fair to say that short form video for social sharing has a long but choppy history online. Today’s smartphone users aren’t exactly short of apps and online spaces to share moving pictures publicly or with followers or friends. And animated GIFs have had incredible staying power as the marathon runner of the short loop social sharing format.

On the super-short form video side, the most notable app player of recent years — Twitter’s Vine — sprouted and spread virally in 2013, amassing a sizable community of fans. Although Instagram soon rained on its video party, albeit with a slightly less super-short form. The Facebook-owned behemoth has gatecrashed other social sharing parties in recent years too. Most notably by cloning Snapchat’s ‘video-ish’ social sharing slideshow Stories format, and using its long reach and deep resources to sap momentum from the rival product.

Twitter voluntarily threw in the towel with Vine in 2016, focusing instead on its livestreaming video product, Periscope, which is certainly a better fit for its core business of being a real-time social information network, and its ambition to also become a mainstream entertainment network.

Meanwhile Google’s focus in the social video space has long been on longer form content, via YouTube, and longer videos mesh better with the needs of its ad network (at least when YouTube content isn’t being accused of being toxic). Though Mountain View also of course plays in messaging, including the rich media sharing messaging space.

Apple too has been adding more powerful and personalized visual effects for its iMessage users — such as face-mapping animoji. So smartphone users are indeed very, very spoiled for sharing choice.

Vine’s success in building a community did show that super-short loops can win a new generation of fans, though. But in May its original co-founder, Dom Hofmann, indefinitely postponed the idea of reviving the app by building Vine 2 — citing financial and legal roadblocks, plus other commitments on his time.

Though he did urge those “missing the original Vine experience” to check out some of the apps he said had “sprung up lately” (albeit, without namechecking any of the newbs). So perhaps a Splish or two had caught his eye.

There’s no doubt the space will be a tough one to sustain. Plenty of apps have cracked in and had a moment but very few go the distance. Overly distinctive filters can also feel faddish and fall out of fashion as quickly as they blew up. Witness, for example, the viral rise of art effect photo app Prisma. (And now try and remember the last time you saw one of its art filtered photos in the wild… )

So sustaining a novel look and feel can be tough. Not least because social’s big beast, Facebook, has the resources and inclination to clone any innovations that look like they might be threatening. Add in network effects and the story of the space has been defined by a shrinking handful of dominant apps and platforms.

And yet — there’s still always the chance that a new generation of smartphone users will shake things up because they see things differently and want to find new ways and new spaces to share their personal stuff.

That’s the splash that Splish’s team is hoping to make.

Landbot gets $2.2M for its on-message ‘anti-AI’ chatbot

Who needs AI to have a good conversation? Spanish startup Landbot has bagged a $2.2 million seed round for a ‘dumb’ chatbot that doesn’t use AI at all but offers something closer to an old school ‘choose your adventure’ interaction by using a conversational choice interface to engage potential customers when they land on a website.

The rampant popularity of consumer messaging apps has long been influencing product development decisions, and plenty of fusty business tools have been consumerized in recent years, including by having messaging-style interfaces applied to simplify all kinds of digital interactions.

In the case of Landbot, the team is deploying a familiar rich texting interface as a website navigation tool — meaning site visitors aren’t left to figure out where to click to find stuff on their own. Instead they’re pro-actively met with an interactive, adaptive messaging thread that uses conversational choice prompts to get them the information they need.

Call it a chatty twist on the ‘lazyweb’…

It’s also of course mobile first design, where constrained screen real estate is never very friendly to full fat homepages. Using a messaging thread interface plus marketing bots thus offers an alternative way to cut to the navigational chase, while simultaneously creaming off intent intelligence on potential customers. (Albeit it does risk getting old fast if your site visitors have a habit of clearing their cookies.)

Landbot, which was launched just over a year ago in June 2017, started as an internal experiment after its makers got frustrated by the vagaries of their own AI chatbots. So they had the idea to create a drag-and-drop style bot-builder that doesn’t require coding to support custom conversation flows.

“Since we already had a product, a business model, and some customers, we developed Landbot as an internal experiment. “What would happen with a full-screen conversation instead of the regular live-chat?,” we thought. What we got? A five times higher conversion rate on our homepage! Ever since, our whole strategy changed and Landbot, born from an experiment, became our core product,” explains CEO and co-founder Jiaqi Pan.

At the same time, the current crop of ‘cutting-edge’ AI chatbots are more often defined by their limitations than by having impressively expansive conversational capacities. Witness, for example, Google’s Duplex voice AI, heavily trained to perform very specific and pretty formulaic tasks — such as booking a hair appointment or a restaurant. Very few companies are in a position to burn so much engineering resource to try to make AI useful.

So there’s something rather elegant about eschewing the complexity and chaos of an AI engine (over)powering customer engagement tools — and just giving businesses user-friendly building blocks to create their own custom chat flows and channel site visitors through a few key flows.

After all, a small business knows its customers best. So a tool that helps SMEs create an engaging interface themselves, without having to plough resources they likely don’t have into training high maintenance chat AIs which are probably overkill for their needs anyway, seems a good and sensible thing.

Hence Pan talks about “democratizing the power of chatbots”. “Most landbot customers are marketing managers from small and medium companies that want to discover new ways of optimizing their conversion rates,” he tells us, saying that most are using the tool to convert more leads in their home/landing page; add dynamic surveys/forms to their websites; or explain their services — “in a more engaging way while scoring leads and being able to take over conversations when necessary”. (Buddy Nutrition is a Landbot customer, for example).

“We started our chatbot journey using Artificial Intelligence technology but found out that there was a huge gap between user expectations and reality. No matter how well trained our chatbots were, users were constantly dropped off the desired flow, which ended up in 20 different ways of saying “TALK WITH A HUMAN”,” he adds. “But we were in love with the conversational approach and, inspired by some great automation flow builders out there, we decided to give Conversational User Interfaces a try. Some would call them ‘dumb chatbots’.

“The results were amazing: The implementation process was way shorter, the technical background was removed from the equation and, finally, costs dropped too! Now, even companies with 100% focus on AI-based chatbots use Landbot as a truly cost-effective prototyping tool. We ended up creating the easiest and fastest chatbot builder out there. No technical knowledge, just a drag and drop interface and unlimited possibilities.”

Despite the startup-y hyperbole, the team does seem to have hit a sweet spot for their product. In less than a year since launching — via Product Hunt — Landbot has signed up more than 900 customers from 50+ countries, and is seeing a 30-40% MRR Growth MoM, according to Pan. Although they are offering a (branded) freemium version to help stoke the product’s growth, as well as paid tiers.

The $2.2M seed round is led by Nauta Capital, with Bankinter and Encomenda Smart Capital also participating. The plan for the funding is to grow headcount and pay for relocating Landbot’s head office from Valencia to Barcelona — to help with their international talent hunt as they look to triple the size of the team.

They’ll also be using the funding on their own brand marketing, rather than relying on viral growth —   acknowledging that marketing spend is going to be important to stand out in such a crowded space, with thousands of competing solutions also vying for SMEs’ cash.

And, indeed, other conversational UIs out in the wild delivering a similarly chatty experience on the customer end, though Landbot’s claim is it’s differentiating in the market behind the scenes, with easy to use, ‘no coding necessary’ customization tools.

On the competition from, Pan names the likes of Chatfuel and Manychat as “powerful but channel-dependent” rival chatbot builders, while at the more powerful end he points to DialogFlow or IBM Watson but notes they do require technical knowledge, so the market positioning is different.

“Landbot tries to bring chatbots to the average Joe,” he adds. “While still keeping features for developers that demand complex functionalities in their chatbots (they can achieve by configuring webhooks, callbacks, CSS and JS customization).”

He also identifies players in the automated lead generation space — such as Intercom (Operator) and Drift (Drift bot) — saying they are aiming to transform sales and marketing processes “into something more conversational”. “The flow customization possibilities are fewer but the whole product is robust as they cover each stage of the conversion funnel, all the way to customer service,” he adds.

In terms of capabilities, Landbot also rubs up against survey/form offerings like SurveyMonkey and Google Form — or indeed Barcelona-based Typeform, which has raised around $50M since 2012 and bills itself as a platform for “conversational data collection”.

Pan rather delightfully characterizes Typeform as “bringing that conversational essence to the almighty sequences of fields”. Though he argues it’s also more limited “in terms of integrations and real-time human take-over capabilities”, i.e. as a consequence of wrangling those “almighty sequences”. So basically his argument is that Landbot isn’t saddled with Typeform’s form(ulaic) straightjacket. (Though Typeform would probably retort that its conversational platform is flexible.)

Still, where customer engagement is concerned, there’s never going to be one way. Sometimes the straight form will do it, but for another brand or use case something more colloquial might be called for.

Commenting on the seed round in a statement, Jordi Vinas, general partner at Nauta Capital, adds: “Landbot has experienced strong commercial traction and virality over the past months and the team has been able to attract customers from a variety of countries and verticals. We strongly believe in Jiaqi’s ability to continue scaling the business in a capital efficient way.”

Okta nabs ScaleFT to build out ‘Zero Trust’ security framework

Okta, the cloud identity management company, announced today it has purchased a startup called ScaleFT to bring the Zero Trust concept to the Okta platform. Terms of the deal were not disclosed.

While Zero Trust isn’t exactly new to a cloud identity management company like Okta, acquiring ScaleFT gives them a solid cloud-based Zero Trust foundation on which to continue to develop the concept internally.

“To help our customers increase security while also meeting the demands of the modern workforce, we’re acquiring ScaleFT to further our contextual access management vision — and ensure the right people get access to the right resources for the shortest amount of time,” Okta co-founder and COO Frederic Kerrest said in a statement.

Zero Trust is a security framework that acknowledges work no longer happens behind the friendly confines of a firewall. In the old days before mobile and cloud, you could be pretty certain that anyone on your corporate network had the authority to be there, but as we have moved into a mobile world, it’s no longer a simple matter to defend a perimeter when there is effectively no such thing. Zero Trust means what it says: you can’t trust anyone on your systems and have to provide an appropriate security posture.

The idea was pioneered by Google’s “BeyondCorp” principals and the founders of ScaleFT are adherents to this idea. According to Okta, “ScaleFT developed a cloud-native Zero Trust access management solution that makes it easier to secure access to company resources without the need for a traditional VPN.”

Okta wants to incorporate the ScaleFT team and, well, scale their solution for large enterprise customers interested in developing this concept, according to a company blog post by Kerrest.

“Together, we’ll work to bring Zero Trust to the enterprise by providing organizations with a framework to protect sensitive data, without compromising on experience. Okta and ScaleFT will deliver next-generation continuous authentication capabilities to secure server access — from cloud to ground,” Kerrest wrote in the blog post.

ScaleFT CEO and co-founder Jason Luce will manage the transition between the two companies, while CTO and co-founder Paul Querna will lead strategy and execution of Okta’s Zero Trust architecture. CSO Marc Rogers will take on the role of Okta’s Executive Director, Cybersecurity Strategy.

The acquisition allows the Okta to move beyond purely managing identity into broader cyber security, at least conceptually. Certainly Roger’s new role suggests the company could have other ideas to expand further into general cyber security beyond Zero Trust.

ScaleFT was founded in 2015 and has raised $2.8 million over two seed rounds, according to Crunchbase data.

An app that uses AI to help you improve your basketball shot just raised $4 million

Let’s be real: you are most certainly never going to be as good as Steve Nash, Chris Paul, James Harden — or really any professional NBA player. But it probably won’t stop you from trying to practice or model your game around your favorite players, and spend hours upon hours figuring out how to get better.

And while there are going to be plenty of attempts to smash image recognition and AI into that problem, a company called NEX Team is hoping to soften the blow a bit by helping casual players figure out their game, rather than trying to be as good as a professional NBA player. Using phone cameras and image recognition on the back end, its primary app HomeCourt will measure a variety of variables like shot trajectory, jump height, and body position, and help understand how to improve a player’s shooting form. It’s not designed to help that player shoot like Ray Allen, but at least start hitting those mid-range jumpers. The company said it’s raised $4 million from Charmides Capital and Mandra Capital, as well as Steve Nash, Jeremy Lin, Sam “Trust The Process” Hinkie (sigh), Mark Cuban and Dani Reiss.

“We don’t call ourselves a basketball company, we think of ourselves as a mobile AI company,” CEO and co-founder David Lee said. “It happens that basketball is the first sport where we’re applying our tech. When you think about digitizing sports, as a runner or cyclist, you’ve had access to a feedback loop for a while [on treadmills and other tools]. But for basketball and other sports like basketball, that loop didn’t exist. We believed with computer vision, you can digitize a lot of different sports, one of which is basketball. We’re not just building an app for the professional basketball athletes, we’re focused on building an app where value can be generated across the basketball community.”

The app starts off with an iPhone. Players can boot up their camera and begin recording their shots, and the app will go back and track what worked and what didn’t work with that shot, as well as where the player is making and missing those shots.It’s not tracking every single motion of the player, but once a player makes a shot, it will track that trajectory and shooting form, like where his or her feet are planted. That kind of feedback can help players understand the kinds of small tweaks they can make to improve their shooting percentage over time, such as release speed or jump hight. And while it’s not designed to be hugely robust like the kinds of advanced tracking technology that show up in advanced training facilities at some larger sports franchises, it aims to be a plug-and-play way of getting feedback on a player’s game right away.

Still, that doesn’t necessarily stop the app from showing up in slightly more professional situations, like recruiting or in athletic centers on college campuses, Lee said. Each college is looking for the next DeAndre Ayton or Ben Simmons, as well as new ways to try to find those recruits. While not every college will end up with the top recruits in the country and get bounced in the second round of the NCAA Men’s Basketball tournament, it offers an additional way for younger players to refine their game to the point they potentially get the attention of those universities — or the NBA, should the one-and-done rule that requires athletes to play a year in college end up disappearing.

“A lot of these coaches are looking at a lot of evaluation tools,” Lee said. “If Alex is waking up at 5 a.m. to put in work, it’s not just about makes and misses, it’s about work ethic. It’s harder to evaluate and digitize a sport. Only [a fraction] of the basketball happens in their practice facilities. How do they help their players evaluate their workout sessions when they’re in those situations? That opens up the doors to do that as well.”

In order to appeal to those broader audiences, the startup is rolling out bite-sized challenges as a way to try to attract the more casual consumers that want to dip their toes into HomeCourt. You see these kinds of challenge-based activities in apps like Strava as a way to try to attract users or keep them engaged in a lighter and more competitive way without having to go into a full-on event like a race or a tournament. It’s one way to try to wrangle the competitive elements of sports like basketball without a ton of competitive pressure as users get more and more comfortable with the way they play and their shooting style.

That bite-sized style of activity also serves pretty well when it comes to creating content, as has been proven popular by apps like Overtime that specialize in highlights of certain players. HomeCourt hopes to add a social layer on top of that to, once again, increase that kind of stickiness and build a community around what would otherwise be a purely technical tool — and one that might scare off more casual players with a very sabermetrics-feeling approach.

Lee also said he hopes the app will eventually broaden into other sports, like Golf or Tennis, where tracking the ball might be more complicated or the motions considerably different from basketball. That’s based on building technology that tracks the movement of the player, and not just the ball, in order to determine the trajectory or success of that specific shots. The hope is that basketball is a first step in terms of achieving that.

“For golf, seeing your whole form as going into your swing is more important — that’s the input in terms of getting where the ball goes,” Lee said. “We’re trying to think about how to reduce as much friction as possible. Imagine being able to use the app to track makes or misses, but also tracking your player movement and form, measuring it, and comparing it to another player’s backswing. We’re hoping to do that in basketball [first].”

Klang gets $8.95M for an MMO sim sitting atop Improbable’s dev platform

Berlin-based games studio Klang, which is building a massive multiplayer online simulation called Seed utilizing Improbable’s virtual world builder platform, has just bagged $8.95M in Series A funding to support development of the forthcoming title.

The funding is led by veteran European VC firm Northzone. It follows a seed raise for Seed, finalized in March 2018, and led by Makers Fund, with participation by firstminute capital, Neoteny, Mosaic Ventures, and Novator — bringing the total funding raised for the project to $13.95M.

The studio was founded in 2013, and originally based in Reykjavík, Iceland, before relocating to Berlin. Klang’s original backers include Greylock Partners, Joi Ito, and David Helgason, as well as original investors London Venture Partners.

The latest tranche of funding will be used to expand its dev team and for continued production on Seed which is in pre-alpha at this stage — with no release date announced yet.

Nor is there a confirmed pricing model. We understand the team is looking at a variety of ideas at this stage, such as tying the pricing to the costs of simulating the entities.

They have released the below teaser showing the pre-alpha build of the game — which is described as a persistent simulation where players are tasked with colonizing an alien planet, managing multiple characters in real-time and interacting with characters managed by other human players they encounter in the game space.

The persistent element refers to the game engine maintaining character activity after the player has logged off — supporting an unbroken simulation.

Klang touts its founders’ three decades of combined experience working on MMOs EVE Online and Dust 514, and now being rolled into designing and developing the large, player-driven world they’re building with Seed.

Meanwhile London-based Improbable bagged a whopping $502M for its virtual world builder SpatialOS just over a year ago. The dev platform lets developers design and build massively detailed environments — to offer what it bills as a new form of simulation on a massive scale — doing this by utilizing distributed cloud computing infrastructure and machine learning technology to run a swarm of hundreds of game engines so it can support a more expansive virtual world vs software running off of a single engine or server.

Northzone partner Paul Murphy, who is leading the investment in Klang, told us: “It is unusual to raise for a specific title, and we are for all intents and purposes investing in Klang as a studio. We are very excited about the team and the creative potential of the studio. But our investment thesis is based on looking for something that really stands out and is wildly ambitious over and above everything else that’s out there. That is how we feel about the potential of Seed as a simulation.”

Headout lands $10M Series A to help tourists book last-minute outings

Imagine being in a new city with a few hours to kill, but no idea what to do. Headout is a travel app that enables tourists to book outings at very short notice, in most cases on the same day. The startup announced today that it’s raised a $10 million Series A led by returning investors Nexus Venture Partners and Version One Ventures to support its ambitious growth targets.

Over the next 18 months, co-founder and CEO Varun Khona says the startup wants to expand from 20 cities to 100 cities in North America, Europe and the Asia-Pacific. The app recently added French, German and Spanish in select markets and aims to have all of its inventory available in 12 languages by the end of next year. Its bookings includes sightseeing tours, museum tickets and shows.

Headout’s Series A brings its total raised to $12 million. Its seed round was announced in 2015, when TechCrunch first profiled the company. The startup claims it has grown eight times over the past 12 months and is profitable.

As it enters new markets, however, Headout will be up against a roster of competitors that also offer experience bookings for tourists. These include Klook, TripAdvisor-owned Viator, Get Your Guide and Airbnb’s Experiences feature.

Khona says Headout’s main edge is tailoring its inventory and technology platform for “spontaneous last-minute mobile use cases.” It’s also a managed marketplace, meaning it standardizes pricing and quality, with the hope of creating a consistent experience across all outings. The startup says this focus on combining quality with unit economics means it’s enabled customers to save an average of 18% on last-minute bookings.

Japanese startup Paidy raises $55M Series C to let people shop online without a credit card

Paidy, a fintech startup that enables Japanese consumers to shop online without using a credit card, announced today that it has raised a $55 million Series C. The round was led by Japanese trade conglomerate Itochu Corporation, with participation from Goldman Sachs.

The Tokyo-based startup says this brings its total funding so far to $80 million, including a $15 million Series B announced two years ago. One notable fact about Paidy’s funding is that it’s raised a sizable amount for Japanese startup, especially one with non-Japanese founders (its CEO and co-founder is Canadian and Goldman Sachs alum Russell Cummer, left in the photo above with CTO and co-founder Lee Smith).

Paidy was launched because even though Japan’s credit card penetration rate is high, their usage rate is relatively low, even for online purchases. Instead, shoppers pay cash on delivery or at convenience stores, which function as combination logistics/payment centers in many Japanese cities.

This is convenient for buyers because they don’t have to enter a credit card online or worry about fraud, but a hassle for businesses that often need to float cash for merchandise that hasn’t been paid for yet or deal with incomplete deliveries.

Paidy makes it possible for people to buy online without creating an account or using their credit cards. Instead, if a merchant uses Paidy, its customers are able to check out by entering their mobile phone numbers and email addresses. Then Paidy authenticates them with a four-digit code sent through SMS or voice. Every month, customers settle their bills, which include all transactions they made using Paidy, at a convenience store or through bank transfers or auto-debits (installment and subscription plans are also available).

The value proposition for businesses is that Paidy can increase their customer base and guarantee they get paid by using machine learning algorithms to underwrite transactions. The company claims that there are now 1.4 million active Paidy accounts, with the ambitious goal of increasing that number to 11 million by 2020 by expanding to bigger merchants and offline transactions.

In a press statement, Cummer said “We are extremely honored that Paidy’s business concept was highly valued by one of Japan’s most prestigious business conglomerates, ITOCHU. Through this tie-up, we expect to launch new merchants in order to deliver Paidy’s frictionless and intuitive financial solution to a much broader audience.”

Next Insurance, an insurtech targeting small businesses, scores $83M Series B led by Redpoint

Next Insurance, the Israeli digital insurance startup that helps small businesses get cover, has raised a significant new funding round, adding another $83 million to its balance sheet.

The Series B round is led by Silicon Valley’s Redpoint Ventures, and will be used by the company to continue expanding across the U.S., where it now operates as a full service insurance carrier. It will also increase headcount in both its Israel and U.S. offices.

Founded in 2016 with the aim of becoming a one-stop insurance shop for micro and small business insurance needs, Next Insurance designs insurance plans for business sectors that are often overlooked by more general insurers.

Small business owners often rely on price comparison websites to figure out what kind of coverage they need and where to buy it, though that means the plans they get don’t always cover all their needs. The other option is to use a broker but that also adds another middle person.

“The complexity of the small business insurance market is very significant and this leads to a situation where even the largest insurance providers own less than 10 percent of the small business market,” founder and CEO Guy Goldstein told TechCrunch when the company raised its Series A. “This offers us huge growth potential as we aim to specialize in and become a market leader in each small business vertical”.

The small business sectors where Next Insurance offers general and professional liability insurance currently includes contractors, fitness, cleaning, beauty, therapy, entertainment, and education. It lets you buy insurance instantly at what it claims is very competitive prices and with no hidden fees. In addition, now that Next Insurance is a licensed carrier, it is able to write policies independently, with what it says is more freedom over underwriting, setting prices, and configuring policies.

Moving forward, the company plans on adding further lines of insurance, on-demand coverage, and ensuring that claims are paid within 48 hours. It is also hoping to develop more sophisticated uses of AI and machine learning to improve the customer experience and streamline the insurance purchasing process.

To that end, Goldstein says Next Insurance’s Series B is a “monumental turning point” in the company’s history, describing growth over the last two years as exponential. Hyperbole aside, the company does appear to have found market fit, as evidenced by the size of the round and how many previous backers followed on.

The Series B Round brings Next Insurance’s total funding to $131 Million in just two years. Other investors that participated in this round include Nationwide Insurance, Munich Re, American Express Ventures, Ribbit Capital, TLV Ventures, and Zeev Ventures. Elliot Geidt, Managing Director of Redpoint Ventures, will join the board of Next Insurance.

More broadly, the insurtech space is rapidly heating up in recognition that the insurance sector, both consumer and B2B, is still yet to be fully digitised, especially in a mobile-first world. In the U.S., consumer home insurance app Lemonade has been grabbing most of the headlines, not least after it raised $120 million in a round led by Softbank.

“Gone are the days of complicated, unreadable policies, exclusions that leave entrepreneurs vulnerable, and endless meetings and phone calls with insurance agents who don’t understand the nuances and needs of different classes of business,” adds Goldstein in a statement. “Small businesses are the backbone of the U.S. economy, and they deserve insurance policies that are simple to access, affordable to own, and which provide them the support and confidence they need to thrive”.

Box acquires Butter.ai to make search smarter

Box announced today that it has acquired Butter.ai, a startup that helps customers search for content intelligently in the cloud. The terms of the deal were not disclosed, but the Butter.AI team will be joining Box.

Butter.AI was started by two ex-Evernote employees, Jack Hirsch and Adam Walz. The company was partly funded by Evernote founder and former CEO Phil Libin’s Turtle Studios. The latter is a firm established with a mission to use machine learning to solve real business problems like finding the right document wherever it is.

Box has been adding intelligence to its platform for some time, and this acquisition brings the Butter.AI team on board and gives them more machine learning and artificial intelligence known-how while helping to enhance search inside of the Box product.

Photo: Box

“The team from Butter.ai will help Box to bring more intelligence to our Search capabilities, enabling Box’s 85,000 customers to more easily navigate through their unstructured information — making searching for files in Box more contextualized, predictive and personalized,” Box’s Jeetu Patel wrote in a blog post announcing the acquisition.

That means taking into account the context of the search and delivering documents that make sense given your role and how you work. For instance, are if you are a salesperson and you search for a contract, you probably want a sales contract and not a one for a freelancer or business partnership.

The company launched in September, 2017, and up until now it has acted as a search assistant inside Slack you can call upon to search for documents and find them wherever they live in the cloud. The company will be winding down that product as it becomes part of the Box team.

As is often the case in these deals, the two companies have been working closely together and it made sense for Box to bring the Butter.AI team into the fold where it can put its technology to bear on the Box platform.

“After launching in September 2017 our customers were loud and clear about wanting us to integrate with Box and we quickly delivered. Since then, our relationship with Box has deepened and now we get to build on our vision for a MUCH larger audience as part of the Box team,” the founders wrote in a Medium post announcing the deal.

The company raised $3.3 million over two seed rounds. Investors included Slack and General Catalyst.