miércoles, 24 de julio de 2019

LIV, a startup making VR gaming more interactive for audiences, raises $1M from Oculus founder, and Seedcamp

LIV, a Prague-based company that wants to make VR gaming more fun to watch, and in turn bring players and spectators closer together, has picked up $1 million in funding. That’s a pretty modest raise as far as ambitious upstarts go — and LIV is certainly ambitious. However, the list of backers includes noteworthy names, such as the founder of Oculus (and designer of Oculus Rift), Palmer Luckey.

Other investors in LIV include Jaroslav Beck, CEO and co-founder of Beat Games (the studio behind VR streaming hit Beat Saber); early-stage VC Seedcamp; accelerator TechStars; Prague’s Credo Ventures; VR company VIVE; and mixed reality production specialist Splitverse.

Founded in 2016, LIV is betting on the premise that VR gaming represents an entirely new platform, and it is new platforms with nascent ecosystems where the biggest opportunities lie. Furthermore, while the watching of video game live streams shows no signs of abating — made popular via sites such as Twitch — the spectator experience hasn’t transitioned very gracefully to VR.

“Creating content in VR is incredibly hard, there are no tools for it, and no shareable content form factor that conveys the experience of being in VR,” says LIV co-founder AJ Shewki, who was previously a professional gamer under the moniker “Dr Doom”.

“LIV empowers developers and content creators to grow their audience through shareable VR content. Developers integrate our SDK, and content creators are then able to create content with those games and experiences using the LIV App. The content format is called ‘Mixed Reality Capture’ (MRC)”.

The “Mixed Reality Capture” experience is inevitably best watched rather than conveyed through the written word (you can see an example below). However, what MRC essentially does is to inject a live video or, alternatively, a 3D avatar of the player’s body inside the video game stream so that spectators experience not only what the player sees (the classic VR first person perspective) but can also follow the “real world” movements the player makes to execute moves within the game. As a player moves their arms, for example, their avatar can be seen replicating the same moves based on sensor data pulled from the VR gear the player is wearing.

It is this ability to closely watch and potentially learn from the best players that has made video game streaming so popular. But, argues Shewki, the move to VR was initially a backwards step in this regard as it required additional technology to close the gap between player and spectator.

“The LIV App gives streamers the tools to broadcast themselves as themselves, or as their favourite avatars, inside any of the 100s of games that we support. We support hundreds if not thousands of avatars, including the popular Japanese VRM avatar format,” says Shewki.

“The LIV App also brings utilities like stream chat, stream alerts, scene controls and camera controls natively into the headset using our proprietary 3D overlay system, built specifically with performance in mind (which in VR is already a scarce resource). The LIV SDK is integrated by developers to get their games LIV ready. We support Unity, Unreal as well as custom engines, and have done integrations with all of them”.

Longer term, Shewki says he wants LIV to not only enable a better live streaming experience but to evolve into what the company is describing as a “real-time audience interaction platform” for VR streamers and games developers. The thinking here is that spectators of VR can also become participants beyond the simple chatroom experience that exists today.

Dubbed “LIV Play” and targeting a closed alpha release by the end of the year, the idea is to give audiences the ability to influence what happens in-game and in real-time, such as purchasing health potions when a player most needs them or spawning extra monsters when they least expect it.

“Our hypothesis was: if we give viewers more engaging ways to participate, as opposed to what you have today with chat, polls and donations, they will,” explains Shewki. “We ran experiments with Beat Saber where we let audiences replace cubes with bombs and do more fun donations. Our experiment results over 120 days were incredible. Week 1 and 2: 700% higher revenue/minute through higher engagement. It petered out to 300% higher rev/min at 120 days, where it’s stayed.”

In other words, take the same monetisation approach that we have seen in games like Fortnite, and apply it to the audience side of live gaming spectatorship. “Creativity is our only limit here,” enthuses Shewki.



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martes, 23 de julio de 2019

It looks like TikTok has acquired Jukedeck, a pioneering music AI UK startup

Jukedeck, a pioneering AI startup out of the UK which could interpret video and automatically set music to it, has reportedly been acquired by hot social media startup TikTok. Jukedeck was previously a TechCrunch London 2015 Battlefield winner.

Jukedeck had raised £2.5M, largely from Cambridge Innovation Capital, but also included investors Parkwalk Advisors, Backed VC and Playfair Capital who were the most recent investors.

Founder and CEO Ed Newton-Rex changed his LinkedIn profile recently to say he was now working for TikTok’s parent company Bytedance as director of its AI Lab since April this year, according to industry news outlet Musically.

Newton-Rex famously rapped his pitch:

We have reached out to Newton-Rex for confirmation, however, several of his colleagues have also now updated their LinkedIn profiles to reveal that they also all now work for Bytedance.

This includes David Trevelyan and Pierre Chanquion (previously senior software engineers, music production R&D at Jukedeck; now senior software engineers at Bytedance’s AI Lab); Katerina Kosta and Gabriele Medeot (formerly machine learning researchers at Jukedeck; now senior machine learning researchers at Bytedance); and Marco Selvi (formerly senior software engineer and machine learning researcher at Jukedeck; now senior machine learning researcher at Bytedance).

Jukedeck’s site is now offline and its homepage replaced by a message saying “We can’t tell you more just yet, but we’re looking forward to continuing to fuel creativity using musical AI!” – indicating that Jukedeck’s technology for adding music to videos is likely to be used by Bytedance inside TikTok.

Newton-Rex has often talked about putting the power of music composition into the hands of the masses, and TikTok clearly has scale.

The social music app has been downloaded about 80 million times in the United States, and 800 million times worldwide, according to data from mobile research firm Sensor Tower.



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viernes, 19 de julio de 2019

Powering the brains of tomorrow’s intelligent machines

Sense and compute are the electronic eyes and ears that will be the ultimate power behind automating menial work and encouraging humans to cultivate their creativity. 

These new capabilities for machines will depend on the best and brightest talent and investors who are building and financing companies aiming to deliver the AI chips destined to be the neurons and synapses of robotic brains.

Like any other herculean task, this one is expected to come with big rewards.  And it will bring with it big promises, outrageous claims, and suspect results. Right now, it’s still the Wild West when it comes to measuring AI chips up against each other.

Remember laptop shopping before Apple made it easy? Cores, buses, gigabytes and GHz have given way to “Pro” and “Air.” Not so for AI chips.

Roboticists are struggling to make heads and tails out of the claims made by AI chip companies.  Every passing day without autonomous cars puts more lives at risk of human drivers. Factories want humans to be more productive while out of harm’s way. Amazon wants to get as close as possible to Star Trek’s replicator by getting products to consumers faster.

A key component of that is the AI chips that will power them.  A talented engineer making a bet on her career to build AI chips, an investor looking to underwrite the best AI chip company, and AV developers seeking the best AI chips, need objective measures to make important decisions that can have huge consequences. 

A metric that gets thrown around frequently is TOPS, or trillions of operations per second, to measure performance.  TOPS/W, or trillions of operations per second per Watt, is used to measure energy efficiency. These metrics are as ambiguous as they sound. 

What are the operations being performed on? What’s an operation? Under what circumstances are these operations being performed? How does the timing by which you schedule these operations impact the function you are trying to perform?  Is your chip equipped with the expensive memory it needs to maintain performance when running “real-world” models? Phrased differently, do these chips actually deliver these performance numbers in the intended application?

Image via Getty Images / antoniokhr

What’s an operation?

The core mathematical function performed in training and running neural networks is a convolution, which is simply a sum of multiplications. A multiplication itself is a bunch of summations (or accumulation), so are all the summations being lumped together as one “operation,” or does each summation count as an operation? This little detail can result in difference of 2x or more in a TOPS calculation. For the purpose of this discussion, we’ll use a complete multiply and accumulate (or MAC), as “two operations.” 

What are the conditions?

Is this chip operating full-bore at close to a volt or is it sipping electrons at half a volt? Will there be sophisticated cooling or is it expected to bake in the sun? Running chips hot, and tricking electrons into them, slows them down.  Conversely, operating at modest temperature while being generous with power, allows you to extract better performance out of a given design. Furthermore, does the energy measurement include loading up and preparing for an operation? As you will see below, overhead from “prep” can be as costly as performing the operation itself.

What’s the utilization?

Here is where it gets confusing.  Just because a chip is rated at a certain number of TOPS, it doesn’t necessarily mean that when you give it a real-world problem, it can actually deliver the equivalent of the TOPS advertised.  Why? It’s not just about TOPS. It has to do with fetching the weights, or values against which operations are performed, out of memory and setting up the system to perform the calculation. This is a function of what the chip is being used for. Usually, this “setup” takes more time than the process itself.  The workaround is simple: fetch the weights and set up the system for a bunch of calculations, then do a bunch of calculations. Problem with that is that you’re sitting around while everything is being fetched, and then you’re going through the calculations.  

Flex Logix (my firm Lux Capital is an investor) compares the Nvidia Tesla T4’s actual delivered TOPS performance vs. the 130 TOPS it advertises on its website. They use ResNet-50, a common framework used in computer vision: it requires 3.5 billion MACs (equivalent to two operations, per above explanation of a MAC) for a modest 224×224 pixel image. That’s 7 billion operations per image.  The Tesla T4 is rated at 3,920 images/second, so multiply that by the required 7 billion operations per image, and you’re at 27,440 billion operations per second, or 27 TOPS, well shy of the advertised 130 TOPS.  

Screen Shot 2019 07 19 at 6.13.46 AM

Batching is a technique where data and weights are loaded into the processor for several computation cycles.  This allows you to make the most of compute capacity, BUT at the expense of added cycles to load up the weights and perform the computations.  Therefore if your hardware can do 100 TOPS, memory and throughput constraints can lead you to only getting a fraction of the nameplate TOPS performance.

Where did the TOPS go? Scheduling, also known as batching, of the setup and loading up the weights followed by the actual number crunching takes us down to a fraction of the speed the core can perform. Some chipmakers overcome this problem by putting a bunch of fast, expensive SRAM on chip, rather than slow, but cheap off-chip DRAM.  But chips with a ton of SRAM, like those from Graphcore and Cerebras, are big and expensive, and more conducive to datacenters.  

There are, however, interesting solutions that some chip companies are pursuing:

Compilers:

Traditional compilers translate instructions into machine code to run on a processor.  With modern multi-core processors, multi-threading has become commonplace, but “scheduling” on a many-core processor is far simpler than the batching we describe above.  Many AI chip companies are relying on generic compilers from Google and Facebook, which will result in many chips companies offering products that perform about the same in real-world conditions. 

Chip companies that build proprietary, advanced compilers specific to their hardware, and offer powerful tools to developers for a variety of applications to make the most of their silicon and Watts will certainly have a distinct edge. Applications will range from driverless cars to factory inspection to manufacturing robotics to logistics automation to household robots to security cameras.  

New compute paradigms:

Simply jamming a bunch of memory close to a bunch of compute results in big chips that sap up a bunch of power.  Digital design is one of tradeoffs, so how can you have your lunch and eat it too? Get creative. Mythic (my firm Lux is an investor) is performing the multiply and accumulates inside of embedded flash memory using analog computation. This empowers them to get superior speed and energy performance on older technology nodes.  Other companies are doing fancy analog and photonics to escape from the grips of Moore’s Law.

Ultimately, if you’re doing conventional digital design, you’re limited by a single physical constraint: the speed at which charge travels through a transistor at a given process node. Everything else is optimization for a given application.  Want to be good at multiple applications? Think outside the VLSI box!



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miércoles, 17 de julio de 2019

Atomico founding partner Mattias Ljungman is leaving to start his own seed fund

Changes are afoot at European VC Atomico, with news breaking that founding partner Mattias Ljungman is leaving to raise his own seed fund.

TechCrunch understands that staff at the London-headquartered firm, which he co-founded in 2006 with Skype founder Niklas Zennström, were informed of his decision to part ways earlier today, although he won’t be leaving immediately. Instead, I’m told Ljungman will be transitioning out over the next six months to ensure as little disruption as possible.

Atomico is also thought to be on the verge of closing a new fund, so arguably the timing is well-aligned, too. ‘In between’ funds is the best time for a founding partner to leave a VC firm, if there ever is one.

In the meantime, Ljungman will be carrying on with existing portfolio responsibilities and gradually handing over his board seats to other Atomico team members. He currently sits on the boards of Peakon, Teatime Games, Bossa Studios, and Lendinvest, to name a few.

Ljungman’s seed firm is to be called Moonfire Ventures and my understanding is that Atomico will invest in the new venture and become one of its first LPs (the ‘Series A and beyond’ VC is an LP in a sprawling number of seed funds, something that it tends to keep quite quiet).

Meanwhile, Ljungman’s thinking is that while European seed stage investing has blossomed recently, the European early-stage ecosystem remains “too fragmented, immature and definitely underfunded”. He believes that there are some excellent seed funds in Europe, but more are needed and especially ones that can think on a pan-European basis and have global ambition.

“My hope is to assemble a team of investors who can light a fire within seed stage investing in Europe to help entrepreneurs grow their boundless ambition and burning creativity,” Ljungman writes in a blog post.

“Given Europe’s diversity and fragmentation issues, I believe it’s time to reimagine how venture capital adds value by embracing technology to help with discovery, evaluation and more efficient provision of support for the most promising ventures”.



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jueves, 4 de julio de 2019

An optimistic view of deepfakes

Deepfakes are having a moment.

Their dangers are becoming more known and understood. The media is rife with articles detailing the speed at which the technology has grown in sophistication and become more accessible, as well as the risks involved.

Good.

The negative implications of deepfakes are troubling, and the better we understand them, the better we’ll be able to prevent their worst consequences. For better or worse, the technology is here to stay. But there is a “better” here—deepfakes have much in the way of lighthearted upside. 

Though the debate around deepfakes has grown in stature and complexity, we still struggle to agree on a definition of deepfakes. I think of it as any mimicry, manipulation, or synthesis of video or audio that is enabled by machine learning. Face-swapping, body puppetry, copying someone’s voice, and creating entirely new voices or images all fall into this category. Your Photoshop efforts, valiant though they are, don’t.  

Image synthesis and manipulation can be a powerful tool for creators

Visual storytelling is an expensive business. Hollywood studios spend billions on creating spectacle that wows their audience or transports them to another world. The tools they use to do so—the tools these big players use to close the gap between what they can imagine and what they can create—remain prohibitively expensive for most creators, though less so than a decade ago. Deepfake tech incorporates the ability to synthesize imagery, potentially giving smaller-scale creators a similar capacity for bringing imaginative creativity to life.

Synthesia is a company with a commercial product that uses deepfake tech to do automated and convincing dubbing through automated facial re-animation. They shot to prominence with a video that featured David Beckham talking about Malaria in nine languages, but their product could also be used to expand the reach of creators around the world. If you’re a talented artist who isn’t working in one of the world’s dominant languages, it’s potentially career-changing to have access to a product like this, which could make your work viable in additional languages and countries.

Adobe VoCo is software — albeit still at a research and prototyping stage — that makes it easier for creators to produce speech from text and edit it the way they would edit images in Photoshop. So if you want your movie short to be narrated by Morgan Freeman, you might be able to make that happen.

Tinghui Zhou, the founder and CEO of Humen, a company that creates deepfakes for dancing, sums up the industry’s goals: “The future we are imagining is one where everyone can create Hollywood-level content.” (Disclosure: I am an investor in Humen).  

In the same way YouTube and Instagram shrunk the distribution and creation advantage that entertainment companies and famous photographers enjoyed over talented amateurs and enthusiasts, this bundle of technologies might diminish the production advantage currently possessed by big budgets and visual effects houses.

Mimicry and manipulation of real life have always been part of art.

The applications mentioned above are all to do with closing the gap between creators with different resources, but deepfake tech could also enable entirely new forms of content that rest on the ability to mimic and manipulate material. Every medium of entertainment has incorporated the stretching, reflection, contortion, and appropriation of real source material for the purposes of entertainment. 

We can already see the evidence of these new applications in the still-nascent use of deepfake tech today. While face swapping for porn lies at the malicious end of the spectrum, more benignly the technology’s introduction also sparked a wave of face swapping Nicolas Cage into different movies.

It might seem banal, but it was a form of content creation that, while previously technically possible, was practically infeasible before deepfakes. It’s not hard to imagine that the next deepfakes content craze will be driven by automated lip-syncing, dance mimicry, or celebrity voice impressions.

Respeecher and Replica.AI are just two companies making voice mimicry accessible to non-techies. Check out my demo with Replica’s tech in San Francisco a few weeks ago (recognize the voice?). It’s a small slice of the future of entertainment and content. If you believe that culture in the digital era is the culture of remixing, then deepfake tech has an important part to play in the creation of that culture. 

Deepfakes bring us closer to believable virtual humans

The ability to mimic faces, voices, and emotional expressions is one of the most important steps toward building a believable virtual human that we can actually interact with. We’re already taking tentative steps down the path to virtual humans. Personal assistants like Alexa, Siri, and Cortana have been around for several years, reached a tipping point of consumer use, and are quickly improving. Having said that, in 2019 they still feel more like a new user interface you have to pass precise instructions to rather than a virtual being you can interact with. Think a command line operated by speech. 

Virtual humans are entering the mainstream in a different way: Through the recent wave of digital influencers. I previously wrote about this trend in the context of animation history, but digital influencers are also meaningful in the context of believable virtual humans. Digital influencers operate on the same planes of interaction — think your Instagrams and Pinterests — that most people do.

As such, you and I can comment on a Lil Miquela post or message Astro. This is interaction with a being that isn’t real. The digital influencer isn’t really responding to you in their own words — their content is created by storytellers, much as Pixar films have writers. But these digital influencers are laying the social groundwork for interaction with true virtual beings.  

Lil Miquela / Image from Instagram

Deepfakes have the potential to plug the technological holes in smart assistants and digital influencers. Pushing Alexa or Lil Miquela to the level of virtual humans like Samantha from Her or Joi from Bladerunner 2049 requires the capacity to encompass and express human body language, speech, and emotion. If we counted the number of unique combinations of pose, vocal nuance, and facial expressions you’ve made in your lifetime, it would likely number in the billions. For virtual humans to be believable, their actions can’t be preprogrammed in a traditional hard-coded sense, but must instead be extremely flexible.

Deepfake tech typically takes tons of examples of human behavior as inputs and then produces outputs that approximate or elaborate on that behavior. It could grant smart assistants the capacity to understand and originate conversation with much more sophistication. Similarly, digital influencers could develop the ability to visually react in a believable way in real time, thanks to deepfake tech. Bringing Mickey Mouse to life beyond a Disney cartoon or guy in a suit at Disneyland is where we’re headed. 3D hologram projections of animated characters (and real people) that are able to speak in a realistic sounding voice, moving like their real world counterpart would. 

Creativity starts with copying. Elaboration follows duplication. It is no different with deepfakes, which will democratize access to creativity tools in entertainment, enable entirely new forms of content, and bring us closer to believable digital humans. That is why I think there is as much reason to be excited about the technology’s virtues as there is to be concerned about its vices. 



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miércoles, 3 de julio de 2019

What everyone at a startup needs to know about immigration

KKR confirms it has acquired Canadian software company Corel, reportedly for over $1B

Yesterday we broke the news that Corel — the company behind WordPerfect, Corel Draw, and a number of other apps, as well as the new owner of Parallels — had itself gotten acquired by KKR. Today, the news is confirmed and official: KKR today announced that it has closed the deal, purchasing Corel from private equity firm Vector Capital.

The terms of the acquisition are not being disclosed, but when the first rumors of a deal started to emerge a couple of months ago, the price being reported was over $1 billion.

Corel may not be the first name you think of in the world of apps and software today. Founded in the 1980s as one of the first big software companies to capitalize on the first wave of personal computer ownership, it tried to compete against Microsoft in those early days (unsuccessfully), and has seen a lot of ups and downs, including two retreats from the stock market, an insider trading scandal, and patent disputes (and even detentes) with its onetime rival.

But in more recent years it has, under the radar, built itself to be a solid and — in these days of startups that claim to intentionally operate at a loss for years in order to scale — profitable business with 90 million users. (Vector had said in the past that Corel had paid dividends of $300 million over the years it’s owned the company.)

Founded in the days when you went to electronics store and bought physical boxes of software with installation disks and hefty manuals, Corel has brought itself into the modern era, with acquisitions like Parallels — a virtualization giant that lets businesses run far-flung and very fragmented networks as if they weren’t — underscoring that strategy.

And that is where KKR appears to be putting its focus. In the memo that a source passed us yesterday, Corel’s CEO Patrick Nichols assured staff that there would be no layoffs and that this acquisition would mean a significant new infusion of capital both to expand its existing business as well as to make more acquisitions to grow. (As we pointed out yesterday, there are a lot of very promising software startups in the market today, and not all of them will scale on their own, so that could present interesting opportunities for companies like Corel.)

“Corel has differentiated itself by offering an impressive portfolio of essential tools and services for connected knowledge workers – across devices, operating systems, and a range of fast-growing industries. KKR looks forward to working together with management to drive continued growth across its existing platforms while leveraging the team’s extensive experience in M&A to deliver a new chapter of innovation and growth on a global scale,” said John Park, Member at KKR, in a statement.

That’s not to say that Corel does not have a specific strategy in mind. The company has apps and services today in three verticals serving consumers (mostly “prosumers”) and so-called knowledge workers: Creativity, Productivity, and Desktop-as-a-Service. That will likely be the trajectory that it will continue to pursue as it looks for more growth.

Although Vector is known as a tech investor, KKR is another step up in to the “bigger” leagues, and so it will be interesting see what Corel can do with the larger coffers, and the larger network of contacts, that KKR will bring to the table.

“KKR recognizes the value of our people and their impressive achievements, especially in terms of our commitment to customers, technology innovation, and our highly successful acquisition strategy. With KKR’s support and shared vision, our management team is excited by the opportunities ahead for our company, products, and users,” said Patrick Nichols, CEO of Corel, in a statement.

If reports of the acquisition price are accurate, that would represent a big premium to Vector: over the last 16 years the PE firm had acquired, taken public, and reacquired Corel, paying no more than $124 million for the company in those two acquisitions (the second time, it paid just $30 million).

“Corel has been an important part of the Vector Capital family for many years and we are pleased to have achieved a fantastic outcome for our investors with the sale to KKR,” said Alex Slusky, Vector Capital’s Founder and Chief Investment Officer, in a statement. “Under Vector’s ownership, Corel completed multiple transformative acquisitions, grew revenue and meaningfully improved profitability, highlighting Vector’s proven strategy of partnering with management teams to position companies for long-term success.  We are confident the company has found a great partner with KKR and wish them continued success together.”

 



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lunes, 1 de julio de 2019

‘The Operators’: Slack PM Lorilyn McCue and Google Senior PM Jamal Eason on becoming a product manager and PM best practices

The winners of The Europas Awards 2019 display Europe’s continuing diversity and ambition

The Europas Awards for European Tech Startups came around again last week (Thursday 27th June), and once again proved that Europe’s enormous diversity in startups continues to shine through on the world stage.

Once again TechCrunch was the exclusive media sponsor of the awards, alongside new “tech, culture & society” event creator The Pathfounder. Attendees, nominees and winners were given discounts to TechCrunch Disrupt in Berlin, later this year.

The awards cover 20 categories, including new additions such as cover AgTech / FoodTech, SpaceTech, GovTech and Mobility Tech.

After an intense round of public voting and judges’ deliberations, the awards were held in the ‘Summer Festival’ atmosphere of the lawns of the iconic Geffrey Museum in London’s ‘Silicon Roundabout Area’ of Shoreditch and featured street trucks, lawn games, music and a fantastic after-party!

The judges came from the creme-de-la-creme of the European tech scene and their picks for the winners were combined with the results of a week of online voting.

Photos from The Europas Awards are now on Flickr where you can download them. They are also on Facebook here. The Live stream hosted by Hermione Way starts here, the panel sessions are here and The Europas Awards ceremony starts here.

You can sign up to get news of next year’s awards and similar events here.

The sponsors this year where:
Bizzabo
World Datanomic Forum
Currency.com
Target Global
Bayer G4A
CommsCo
Isotoma
iHorizon
FieldHouse Associates
Rocketmakers
Burlington PR
Home Grown

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media panel

euroo fest

europas fest

So without further-a-do here are the winners and finalists for The Europas Awards 2019!

The Europas Awards — Hottest AgTech / FoodTech Startup
WINNER:
Small Robot Company: Building small robots to transform farming
Presented by Gemma Evans, HealthHackers

FINALISTS:
Agricool: grows and produces fruits and vegetables inside shipping containers
Allplants: Delicious, plant-based meals, delivered.
Breedr: a productivity and marketing platform transforming the livestock supply-chain
iFarm: Data-driven urban farming technology
Ynsect: Designs, constructs and operates giant vertical farm of beetles (Molitors) to produce high grade proteins.

The Europas Awards — Hottest CleanTech Startup
WINNER:
Solar Foods: Produces an entirely new kind of nutrient-rich protein using only air and electricity as the main resources
Presented by Laurence Kemball Cook, Pavegen CEO

FINALISTS:
Asperitas: a clean-tech company focused on greening the datacentre industry
Naefos: A fintech-IoT platform for enterprises to access off-grid households
Bulb: affordable renewable energy for homes and businesses
Orbital Systems: a Swedish clean-tech company that develops a water recycling technology to be used in domestic appliances
VoltStorage: Solar power storage for your home

The Europas Awards — Hottest CyberTech Startup
WINNER:
Panaseer: A continuous controls monitoring platform
Presented by Pratik Sampat, iHorizon

FINALISTS:
UK Barac: Using AI and behavioural analytics to detect malware hidden within encrypted traffic without the need for decryption
Cymulate: Breach and attack simulation
UK Immersive Labs: A fully interactive, on-demand, and gamified cyber skills platform
Passbase: a digital identity platform to streamline the identity verification process and enable identity ownership and reuse across different services
PixelPin: a secure authentication system using pictures instead of passwords
uBirch: Securing IoT data using blockchain

The Europas Awards — Hottest EdTech Startup
WINNER:
Perlego: Textbook subscription service

FINALISTS:
Busuu: Online community for language learning
Get My Grades: online learning platform for English, Maths and Science
MyPocketSkill: Connecting teens to pocket money earning jobs
Pigzbe: Crypto-friendly, digital wallet for 6+
PitchMe: Skills-based talent marketplace
Robo Wunderkind: developing modular and programmable robots to teach children robotics and coding
Lirica: Learn languages with the power of music

The Europas Awards — Hottest FashTech Startup
WINNER:
Metail: virtual fitting room service for fashion retailers that allows customers to create a 3D model of themselves and try on clothes

FINALISTS:
Bump: making commerce social
Euveka: develops connected smart-mannequins, using custom software, to assist fashion, sports and medical professionals in the prototyping and sale of individual garments
Heuritech: anticipating brand and product desirability through the eyes of millions of fashion influencers and consumers
HUUB: a logistics and tech platform for Fashion brands
Little Black Door: intelligent inventory platform that captures the value of your wardrobe and opens it up to a premium managed marketplace
Finda: Professional model booking platform

The Europas Awards — Hottest FinTech Startup
WINNER:
Auquan: data science platform for financial services
Presented by Malin Holmberg, Target Global VC

FINALISTS:
Curve: a platform allowing consolidation of all bank cards into a single smart card and app
Cytora: Using AI to enable insurers to underwrite more efficiently
Divido: a retail finance platform that allows companies to offer instant customer finance
Holvi: digital banking for freelancers and entrepreneurs
Monese: an online banking platform that offers quick current account opening for all EU residents
Moonfare: a technology-enabled platform allowing individuals to invest in top-tier private equity funds
Nuggets: Login, pay and verify ID without ever sharing or storing your data with anyone
PremFina: White label software to manage insurance policies
Yobota: cloud-based platform allows financial services to design and deploy financial products

The Europas Awards — Hottest GovTech, CivTech, PubTech, RegTech
WINNER:
New Vector: decentralised, secure communication for governments, businesses and individuals
Presented by Eloise Todd, Anti-Brexit Campaigner

FINALISTS:
Adzuna: digital service that connects jobseekers with employers online and through job centres around the UK
Apolitical Apolitical is a global policy insights platform and network helping governments and companies advance their work and business
Clause Match: end-to-end solution for fully automating regulatory compliance
Luminance: document analysis software to secure big data systems
novoville – novoville is a Citizen Engagement Platform, that bridges the gap between local governments and their citizens
Safened: Digital KYC Solution
SafeTeam: NHS community lone worker app

The Europas Awards — Hottest HealthTech Startup
WINNER:
BIOS, creating the open standard hardware and software interface between the human nervous system and AI
Presented by Rafiq Hasan, Bayer Health

FINALISTS:
Ada Health: an AI-powered health platform
eQuoo: evidence based mental health game for young adults
Lumeon: providing care pathway management solutions to the healthcare industry
Natural Cycles: a digital contraceptive app
Pregenerate: “cartilage-on-a- chip” to accelerate drug development for arthritis
Siilo: secure messenger app for medical teams
Straight Teeth Direct: Direct to consumer teledentistry platform that connects users to online dentists globally enabling low cost at home teeth straightening

The Europas Awards — Hottest MadTech (MarTech or AdTech) Startup
WINNERS:
Ometria: a customer insight and marketing automation platform
Videesha Bockle, signals Venture Capital

FINALISTS:
Codec: AI-powered audience intelligence for brands
MeasureMatch: find, book, pay & rate independent consultants or consultancies to accelerate marketing, commerce & customer experience capabilities
PlanSnap: a social planning platform that gets friends together
StreetBees: Connecting brands with real people on the ground to gather real time insights
Uberall: location marketing cloud
Vidsy: helps brands create original mobile video ads at scale
Waive: an intelligent trend spotting platform

The Europas Awards — Hottest Mobility Travel Tech Startup
WINNER:
Voi Scooters: owns, operates, and manages electric scooters for urban commuters
Joelle Hadfield, HelloFresh

FINALISTS:
Culture Trip: inspiring people to explore the world’s culture and creativity
daytrip: platform connecting independent travelers with local drivers
Dott: scooter startup
minicabit: an online minicab and taxi price comparison and booking service
Snap Travel: on-demand coach service
Trafi: Mobility solutions for connected cities
Wejo: unlocks the value in car data to help create smarter, safer, better and greener journeys for drivers globally

The Europas Awards — Hottest PropTech Startup
WINNER:
NPlan: machine learning – based risk analysis for construction projects
Simon Calver, BFG

FINALISTS:
Casavo: market maker within the residential real estate market
Good Monday: a digital office management system
Habito: digital mortgage broker
Home Made: property tech rental agent
Hubble: online marketplace for office space
Mews Systems: property management software for hospitality operations
Planner 5D: 3D home design tool using AI, VR & AR to create floorplans and interior design
Reposit: tenancy deposit alternative
Urban Jungle: A fully digital insurer, for a new generation of customers

The Europas Awards — Hottest Retail / ECommerce Tech Startup
WINNER:
NearSt: building the world’s source of real-time local inventory
Presented by Audrey Soussan, Ventech

FINALISTS:
Festicket: marketplace to discover and book music festival tickets, accommodation, transfers and extras
Keep Warranty: app that saves the warranties and purchase slips of your appliances
Picnic: online supermarket, that delivers groceries for the lowest price to people’s home
Pimcore: digital experience platform to manage product information
Spryker Systems: a commerce technology company
store2be: Online marketplace for short-term retail and promotion space
Trouva: curated marketplace for bricks and mortar independent shops

The Europas Awards — Hottest B2B / SaaS Startup
WINNER:
Infobip: Full-stack Communications Platform as a Service (CPaaS)
Sally MacDonald, Partner, CommsCo

FINALISTS:
Chattermill: Using deep learning to help organizations make sense of their customer experience
Dixa: conversational customer engagement software that connects brands with customers through real-time communication
Meero: On demand photography service combined with image processing artificial intelligence
Paddle: platform for all software companies to run and grow their business
Peakon: a platform for measuring and improving employee engagement
ProoV: a PoC platform that enables businesses to test new technologies
SeedLegals: platform for all the legals startups need to grow and get funded
TravelPerk: business travel booking & management platform for companies
Unbabel: a ‘translation-as-a-service’ platform, powered by AI and a worldwide community of translators

The Europas Awards — Hottest SpaceTech Startup
WINNER:
Open Cosmos: Simple and affordable space missions
Presented by Dr Barbara Ghinelli, Harwell

FINALISTS:
Aerial & Maritime: A Danish nanosatellite-based solution for monitoring aircrafts and maritime vessels
Aerospacelab: Develops a constellation of micro-satellites for earth observation and imagery
aXenic: Design, development and production of optical modulators for communications and sensing
Global Surface Intelligence: Environmental data service
Hawa Dawa: Combines proprietary IoT smart sensor data with other sources of data (including satellite data) to give highly accurate data on air quality
Monolith: Machine Learning Platform that helps engineers to predict the outcome of unknown, new tests or simulations by reusing historical data
Trik: Enterprise drone 3D mapping software for structural inspection
Unseenlabs – Unseenlabs designs and develops a spectrum surveillance payload
Xonaspace: Uses an XPS and LEO satellite constellation for extremely precise GPS systems

The Europas Awards — Hottest Tech for Good Startup
WINNER:
Beam: help a homeless person for the long-term by funding their employment training
Paula Schwarz, World Datanomic Forum

FINALISTS:
eWaterpay: Using mobile technology for the accountable collection of user fees to pay for the maintenance of water supply systems forever
Idka: a platform for private groups and organizations, where they can connect, communicate, share and store anything – while their privacy remains intact
OmoLab: develops tools that make easier for people with dyslexia to read
SafetoNet: an app that protects children online by using AI to detect harmful content, whilst respecting children’s privacy
Tick. Done.: a micro-video platform for instant knowledge sharing
Winnow: digital tools to help chefs run more profitable, sustainable kitchen

The Europas Awards — Hottest Blockchain Project
WINNER:
Argent: a smart wallet for cryptocurrencies and blockchain applications

FINALISTS:
Aeternity: a scalable blockchain platform that enables high-speed transacting, purely-functional smart contracts
AZTEC Protocol: building privacy technology for public blockchain infrastructures
Colendi: decentralized credit scoring protocol and microcredit platform with blockchain and machine learning technologies
Edge ESports: blockchain-based platform for professional gamers
FilmChain: blockchain enabled platform that collects data, verifies revenues and executes stakeholder payment splits for film, TV etc
Orbs: a blockchain Infrastructure as a Service (IaaS) for large scale consumer applications
Veratrak: a shared workspace for collaborating with your supply chain partners

The Europas Awards — Hottest Blockchain Investor
WINNER:
Outlier Ventures: invests and partners with tokenised communities that will create the new decentralised economy
Presented by Kaisa Ruusalepp, Funderbeam

FINALISTS:
BlueYard Capital
Catagonia Capital
Earlybird Venture Capital
Fabric Ventures: A venture capital firm that invests in scalable decentralized networks
FinLab
KR1: crypto token Investment company supporting early stage decentralised and open source blockchain projects
Mosaic Ventures

The Europas Awards — Hottest A/A+ Investors
WINNER:
Atomico
Presented by Madhuban Kumar, Metafused

FINALISTS:
Accel
Anthemis Group
Balderton Capital
DN Capital
EQT Ventures
Index Ventures
Northzone
Project A Ventures
Ventech Capital

The Europas Awards — Hottest Early-Stage / Accelerator Investors
WINNER:
Founders Factory
Presented by Jenny Judova, TechHub

FINALISTS:
Seedcamp
Forward Partners
Generation S
Entrepreneur First
Techstars London
The Family
7percent Ventures
Backed VC
Firstminute Capital
LocalGlobe
Episode 1 Ventures

The Europas Awards — Hall of Fame
This category recognises a person who has gone above and beyond the call of duty to enhance the tech ecoosystem not just for themselves but for others.
WINNER:
Brent Hoberman of Founders Factory, Founders Forum, Firstminute Capital, Lastminute.com and many other initiatives for startups and entrepreneurs



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