A Venture Capital Token Sale (ICO) to Bring Us the Golden Age of Artificial Intelligence

Today we’re announcing the beginning of our token sale for the Asgard Singularity Fund. This article explains why we’re using a blockchain model for our relationship with investors and why we’re investing in Artificial Intelligence. I’ll make sure it’s a worthwhile read.

We live in a digital world, but Venture Capital is still stuck in the ’90s

The digital world is moving fast. Today the five most valuable companies globally are all digital players (Alphabet, Apple, Facebook, Amazon, Microsoft) with the next giants originating from China are on the rise (Alibaba, Baidu, Tencent und Xiaomi).

The funding situation for startups has improved significantly too. Today we have AngelList, business angels, micro Venture Capital (VC) funds, Corporate VCs, incubators, accelerators, state funds and – most recently – Initial Coin Offerings (ICOs/public token sales).

Meanwhile, however, the fundraising process for Venture Capital companies is typically slow, offline, closed-off, paperwork-intensive, regional and not easily accessible. While society moves forward into the future, the Venture Capital business still feels like the 90s.

I would go so far as to say it’s broken. If you want to invest in a Venture Capital fund, you need a lot of money and personal, direct access to the fund manager. Like Private Equity, the VC network has been dominated by a closed group of insiders who hoard earnings and influence, while limiting access and benefits for the public.

And VCs are important. Alongside entrepreneurs, VCs benefit the most financially from the creation of world-leading companies. Without the capital given by VCs, there would be no Facebook, Google, Uber, Amazon or WhatsApp. And the returns for investing in the right companies can be astonishing.

Private Token Sales could change Venture Capital

The idea of combining a token sale (often called ICO) with Venture Capital has been on my mind for a year or more. There were many obstacles to overcome with regard to regulation and operations. I’ll share all my learnings in a more detailed post following the token sale.

As an entrepreneur, I like challenges, and I found this one especially appealing.

As an investor, I’m very open to new ways of raising capital for my VC firm.

We are going to operate on a combination of self-service-fundraising,  crowdinvesting, and Venture Capital. Since I have personal experience in all of these fields, I’ve combined them to create something new. The result is a private token sale for a specialized Venture Capital company.

I truly believe that what we’ve come up with could change the whole Venture Capital industry. I say “we” because behind me is a great team of many people who are currently working hard to make it happen.

Transparent. Easy. Fast. Globally accessible Venture Capital.

So what exactly is new, better and different compared to existing Venture Capital processes?

First:  Our fund is globally accessible. Anyone from anywhere can invest in our fund without the need of a network or to know us in advance – provided token sales are allowed in your country.

We designed this token sale for individuals and companies who:

  • Have significant assets in cryptocurrencies and would like to diversify with a long-term return on their capital.
  • Love tech and want to benefit financially from it.
  • Want to invest capital easily and quickly into a hard-to-access asset class.
  • Are existing Limited Partners ( LPs; standard term for investors in Venture Capital funds) like fund of funds, pension funds, banks, state funds and family offices.

Second: I love transparency. I blog a lot (sometimes in German) and like to share knowledge. This is the same way we structured the Asgard token sale. There’s plenty of information on the landing page. And once you sign-up, we share even more details like our whitepaper, pitch deck and contracts. Instead of requiring investors to proactively ask us for every single document, we share them freely. Knowledge should be free of charge and openly accessible. The same applies to for Venture Capital.

Third: Going hand in hand with transparency; communication is key. During and after the token sale we can be reached via email, LinkedIn, Skype, Slack, Telegram, our blog, public forums and internal discussions boards. Communicating clearly and frequently provides trust and builds a stronger relationship.

Fourth: The entire investment process is digital. Normally it takes months to join a Venture Capital fund. You have to print and read hundreds of pages of contracts.  This archaic method is slow, painful, complicated, redundant and far from easy to understand.

Instead, we designed a process that only takes you minutes to complete. You still have to undergo the usual KYC (know-your-customer) and AML (anti-money-laundry) processes, as with every other fund, but we optimized them for accessibility and usability. It’s not written by lawyers (although it is approved by them) and is therefore easy to understand.

Fifth: The digital process leads to faster decisions on both sides. You, as an investor, can decide on your own timing based on available information, and we can check your accreditation to invest within minutes instead of weeks. It’s less complicated and less painful for all of us. Welcome to the 21st century.

investment process token sale

Token process vs. standard process

Tradeable Asgard Singularity Token in a straightforward legal setup

Once you invest, we provide even more benefits compared to some (not all) existing VC firms.

Your share in our VC fund will be tradeable, since it’s a token. The Asgard Singularity Token represents your share in the fund and your right to receive future earnings. It’s your proof of ownership alongside the investment contract. You can buy more tokens from other investors, or you can sell your tokens in case of illiquidity. You’ll receive payments from us over the coming years based on the number of tokens you hold at the time of each payment.

Yes, there are ways to sell shares in existing VCs too, but it’s very difficult and expensive. Standard VC funds are not very transparent. There are also no exchange platforms to match buyers and sellers. With a token and use of blockchain technology – a secure, decentralised ledger – the process is significantly transparent, easy and fast.

Furthermore, your investment will not be public record. Only our funds management team will know who owns the tokens.

The legal structure of the Asgard Singularity Fund is straightforward and organized in Germany under European regulation. We don’t need tax-avoiding structures on sunny islands in the Caribbean, nor regulation-avoiding structures in Asian city-states. We operate transparently and understandably.

We’re a special Alternative Investment Fund (AIF). This means our fund is registered with the German Federal Financial Supervisory Authority (BaFin), and we report to the German Central Bank.

Investors benefit from further investment opportunities and deep market insights

We also put together an internal investor’s board (I know the name isn’t fancy, so please feel free to suggest something cooler.) Token holders will have access to the board, which will serve as our main way to communicate, trade and gain insights.

We’ll share possible investment deals like co-investment opportunities and follow-on funding opportunities. We’ll also share deep market insights into trends and technologies that are not currently public knowledge. We’ll share our view on the most innovative and ambitious companies currently working on game-changing human-centric technologies.

Token holders can actively support the portfolio and be an integral part of the fund process. Companies always need help with sales, recruiting, strategy and funding. We want to tap into the network of our token holders to help the portfolio increase in value.

The Golden Age of Artificial Intelligence

Those are some, but not all, of our motivations to hold a token sale for our Venture Capital company.

Our primary motivation is the desire to bring about the Golden Age of human-centric Artificial Intelligence.

I truly believe we are the origin of something remarkably great and wonderful. One-day we’ll tell stories to our grandchildren about these exciting times.

Just look at the books by Ray Kurzweil, Charles Stross, Daniel Suarez, William Hertling, Ernest Cline or Daniel Jeffries and you’ll understand how close we are to a future where self-fulfillment and prosperity will be accessible to everyone. The Golden Age for humankind as a whole. Sure, there will be many “ifs” and “buts”. That’s why we have to strongly believe that the future will be a better place to live than the present.

During the past three years at Asgard we’ve invested in amazingly cool early-stage companies developing great AI technologies like Accelerated Dynamics, Micropsi Industries and Parlamind. There are currently 7,500 AI companies out there globally. Hiding among them, we’ll find the 30 teams that will be the AI world leaders of tomorrow.

It’s the perfect time for it. We have plenty of data, processing power, talent, research and tools. We just need a few more brave VCs willing to risk supporting real innovations instead of making safe bets on existing business models with long-established technologies.

Applied AI is already out there – we call it Narrow Artificial Intelligence. These are AI systems that solve very specific tasks. They do it better and faster than humans. You might not call it AI anymore, but Google Search, navigation systems, chess computers, autopilot, trading bots and self-driving cars all those are types of narrow AI. Once we’ve solved a problem with AI, we start calling it software instead.

There are also strong teams (like DeepMind and Sentient Machines) working on Artificial General Intelligence – AI systems that learn faster with less human help. Systems that can transfer knowledge, build a memory and start to reason their decisions.

I could play the number game. I might write that the AI market will grow to $126 billion and add $15 trillion to our economy over the next decade. But for me, it’s more about trusting ourselves that we can make this planet a better place to live. That we humans will live longer peaceful and be happier and wealthier with the help of AI.

Sure, there will be risks and challenges. We need to discuss AI regulations, biased AI and AI morality. But those are topics for another blog post.

We’ll see AI running on blockchains, making them decentralized, autonomous organizations. AI will help us create and manage virtual worlds. AI will make Augmented Reality possible. It’s a great time to be alive.

If you want to learn more about our token sale, go to ico.asgard.vc. Feel free to follow Asgard on Facebook, Instagram and Twitter. You can also follow me personally on Facebook, LinkedIn and Twitter.

 

Image credits:

F65JA0 Alamy Stock Photo

Venture Capital Analyst Internship – Berlin 2017/2018

Please apply with this link

Venture Capital Analyst Intern

You have a keen interest in Venture CapitalArtificial Intelligence, Entrepreneurship and Blockchain? Then keep reading.

Asgard is a Berlin based early stage venture capital firm for Artificial Intelligence. Do you believe the Singularity is closer than we might think? Then we are the right place for you to invest in the future. In 2017/2018 we would like to have another Venture Capital Analyst Intern at our team to support the leading AI companies in Europe.

You will learn:

You will gain insights in how a venture capital firm works. You will understand the fundamentals of early stage investments and operations. Additional you will win insights into markets, startups, trends, networks and technologies. You can become an AI VC.

Your tasks will be:

You would help us with deal flow; that means analysing deal opportunities and preparing investment decisions. You would help us to create the next AI Global Industry landscape (see our German and EU version). Since we are currently preparing our ICO (please google it, if you haven’t heard the term before), you would be involved in building one of the first global Venture Capital firms running on a Blockchain.
Furthermore we organise every year the largest conference for Artificial Intelligence in Germany (Rise of AI), were you would be involved in speaker management, running your own session and networking with the most influential AI experts in Europe.

What skills you should have:

You should be a quick thinker. You are open towards new technologies and trends. You have an international mindset. You are analytic and like to ask questions. You are driven and curious. You are hard working and enjoy responsibilities. You can keep timelines and work goal orientated. You like working independently.

You do not need to speak German, however you should be at least fluent at English. We like it, if you speak several languages and have lived in more than country before. We do not care, what you have studied before, however we favour technical degrees in various combinations. It is easier to understand AI startups, if you can read code.

Additional we like variety. Tell us how you bring new perspectives to our team.

The basics:

You have time for three to six months. Six months would be better, but we can work with less too. You would need to be in Berlin for at least the first 12 weeks. In Berlin you will have a combination of virtual office (work from everywhere) and physical meetings in Berlin-Tempelhof.

Once the ICO succeeds, we will need one or two full-time Associates. Therefore there is the real option, that after the internship we may make you a full-time offer.

Starting day: December 2017 or beginning 2018.

Interested?

Then please fill out your application.

Phase 1: Application
Phase 2: Case Study + Video
Phase 3: Personal or Skype-Interview
Phase 4: Offer
Phase 5: Onboarding and getting started

About Asgard:

We are a family owned Venture Capital firm located in Potsdam and Berlin. We provide Human Venture Capital for Artificial Intelligence. www.asgard.vc.

The European Artificial Intelligence Landscape | More than 400 AI companies built in Europe

Software is eating the world and Artificial Intelligence (AI) is at the heart of this takeover. Since we at Asgard are deeply involved in the European AI market, we thought we would share our insights.

Main findings:

  • Europe has a growing and thriving Artificial Intelligence industry
  • The UK has by far the strongest AI ecosystem, followed by Germany, France and Spain
  • London is Europe’s number one hub for AI companies, followed by Berlin, Paris, Madrid, Stockholm and Amsterdam
  • Switzerland has the most AI companies per citizen
  • Most AI companies are in the data analytics market
  • There are some mature and well-funded AI companies in Europe
  • Only 60% of companies claiming to be AI firms actually are

Get the full list of all 409 European AI companies for free

The European Artificial Intelligence Landscape and largest AI hubs in Europe

 European Artificial Intelligence Hubs and Landscape

The European Artificial Intelligence Landscape – click here for a higher resolution

The United Kingdom takes the lead as the strongest AI ecosystem in Europe. We have counted 121 AI firms in the UK, with London clearly the largest hub.

In second place is Germany (51), with Berlin as the main AI hub supporting 30 AI companies.

France (39) and Spain (31) follow in third and fourth place.

European Artificial Intelligence Nations

There are also growing AI industries in Switzerland (21), Sweden (19) and the Netherlands (17).

Italy (14), Russia (13) and Finland (11) follow.

AI companies from the UK, Germany and France account for over 50 % of the European total. These numbers are not surprising given their more mature digital ecosystems, a requirement for growing complex AI companies.

European Artificial Intelligence companies by country size

Switzerland has the Most AI Companies Per Capita

An interesting side note is that some countries perform better when taking population into account. In this case, Switzerland leads the field, followed by Finland, the UK, Sweden, Ireland and Denmark. The UK is an outlier here as Spain, Germany and France all have significantly fewer AI companies per citizen.

European Artificial Intelligence Industries

Data Analytics Companies Dominate European AI Industries

Data Analytics companies make up the bulk of AI firms in Europe, perhaps due to AI needing data and its emergence from the Cloud and Big Data trends of recent years.

Sales & Marketing AI firms tend to solve well-known problems with this new abundance of data, and take advantage of improvements in NLP (natural language processing) and NLG (natural language generation) within the mobile / IoT world. We therefore see many new companies in the fields of Text Analytics and Conversational AI.

Customer Service and Personal Assistants have been very popular fields in which to start companies, supported by the advances in frameworks and free APIs.

Robotics is one of the oldest fields to use AI. However, we are not yet seeing an increase in the number of robotics companies.

On the other hand, we still have too few companies in the fields of Logistics, Education, and Travel using Artificial Intelligence.

Best funded European Artificial Intelligence companies

Best Funded European AI Companies

Once a firm’s technology becomes a commodity, it becomes difficult to remain an AI company. Many grow out of their AI definition and develop into something else. However, we have identified ten companies which still run as AI companies, even after larger funding rounds.

http://www.stratifiedmedical.com

https://blippar.com

https://www.carmatsa.com

https://www.arago.co

http://www.diffblue.com

https://swiftkey.com

https://snips.ai

https://starcounter.com

https://www.konux.com

https://www.your.md

https://www.your.md 

 

Data & Process

We compiled a list of 715 companies based in Europe claiming to be in the AI industry. We took the data from Crunchbase, AngelList, and our own research.

We then excluded companies which are inactive, agencies, consultancies, have been acquired, have a closed beta, or do not use machine learning. Additionally we attempted to exclude those which appeared only to use AI as a marketing tool, adopting buzz words such as “customer intelligence”, “marketing automation”, and “big data optimization”.

We may have missed some companies out, for example if they are too young, in stealth, or if we simply never heard of them. We apologise for this and will include them next time – just send us an email to contact@asgard.vc.

What is Artificial Intelligence? The definition is constantly changing. What we see as AI today could be standard software next year.

To get the list of all 409 AI companies, click here.

 

If you are interested in meeting European AI entrepreneurs, researchers and thought leaders, then join us for our Rise of AI 2018 conference.

 

Many thanks to Milette for investing weeks of her time to generate the data. Unfortunately, there is as yet no AI for identifying AI companies.

The European Artificial Intelligence companies list | from 2017

We have compiled a list of 409 European Artificial Intelligence companies. Each company has a crunchbase link, industry, webpage, city and country.

Please provide us with your name and email address. The download link will be mailed to your afterwards.

Name *

Email *

We hate spam too, therefore we would only use your email address to invite you to our exclusive Rise of AI conference.

The Format is CSV, since it the easiest to use with various office programs. If you need a standard Excel, just send us an email.

Evolving from Narrow Artificial Intelligence to Cognitive Artificial Intelligence

Much has been written about the Rise of AI and it is more to read than you have human time to do it. I have personally written about AI First and the next stage of machine intelligence back in 2015. Today I commit some words about where Artificial Intelligence is today and where it is heading to in the next years. At the end I have a wish list for entrepreneurs, companies and researchers.

Today we are already living in an AI world

Big Data, machine learning, hardware and the Internet have enabled us to create hundred thousands of different Artificial Intelligence applications.

We use AI for automation of processes. We let it trade stocks, drive cars, trucks, control trains, drones and submarines. We let it analyse traffic videos. AI sorts for us our Facebook, Spotify and Netflix content.

We use AI for human machine communication. Either with Google Speech or we communicate directly with Alexa, Cortana and Siri. We even let AI read and write our emails.

Artificial Intelligence is the digitalization of human knowledge work. We trust AI for navigation and research. We even let AI win Go, poker, compose music and create art.

And that all is just the beginning. It is like DOS for the PC era and a Nokia 3210 for the mobile era.

Today we have Narrow Artificial Intelligence

I call these current systems Narrow Artificial Intelligence. They are highly specialized and are often better than humans at the same task. However they need large sets of data and weeks/months/years of training by humans. Additional most models are still highly mathematical (e.g. try to improve gradient descent) and brute forcing trial & error (see error back propagation).

On top the biggest drawback is, that these Narrow Artificial Intelligences can not transfer knowledge.

The field of AI is as old as the field of computers. We started with heuristic systems, then we had expert systems and today we have learning systems. However that is not enough and we need to reach the next stage of machine intelligence.

We need AIs, which can adapt to new situations. We need AIs which can build a memory, gain knowledge and uses its own experiences. We need AIs, which learn faster with less data.

What we need is Cognititve Artificial Intelligence

I call the next generation Cognitive Systems, or Cognitive Artificial Intelligence. These are a combination of machine learning + knowledge technologies. Prof. Hans Uszkoreit briefly touches that topic at the end of his Rise of AI talk.

A Cognitive Artificial Intelligence has perception (sensory input like hearing, listening, reading, seeing, feeling). It can execute action (interpretation, reasoning, planning and communication) and it can react to unplanned situations.

For Cognitive Artificial Intelligence Systems we need learning algorithms, which are faster and need less data (better abstraction). We also need to better understand how our own brain works. Humans are still the only Superintelligence in the room.

My AI wish list

I kindly ask researchers to work more on transfer knowledge. Google’s PathNet leads the direction. Please work more on AI’s memory and experiences. Find ways that AIs can react to unplanned situations without brute forcing their way to optimization.

For entrepreneurs and startups out there: Work on models and the data. You need to have access to plenty of data or own it. Close the feedback look in your AI system. Means, your system should gather, learn and optimize without human help.

Algorithms and frameworks are free. Concentrate on the models, which are compressing your data. Dr. Damian Borth speaks about it at his Rise of AI talk.

For the more mature companies: think AI first. Build internal AI teams, buy AI companies or partner with AI startups.

If you have a service, then sell the solution. Fix your problems and your customer’s problems with AI.

If you sell hardware, then use your hardware as a Trojan Horse for your (software) intelligence.

This is my AI wish list for 2017.

Contact us anytime

Get in touch with us:contact@asgard.vc