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 German Artificial Intelligence Landscape

click for a higher resolution of the map

As a Venture Capital firm for Artificial Intelligence we follow the growing AI market closely. For the German AI Landscape Map, we created a list of over 600 European AI startups based on internal research mainly deriving from our network and Crunchbase.

Not every company that lists AI as a part of their product has AI in it. We have therefore taken the freedom to clean the raw data. We’ve ended up with 81 German Artificial Intelligence startups, which made it onto our map.

Most founders solve well-known problems with AI

We observe that the largest fields for AI startups in Germany are:

  • Customer support
  • Customer communication
  • Sales & marketing
  • Software development
  • Computer Vision / Image recognition

These five categories account for 48 % of German AI startups.

German AI categories

Since software engineers are closer to the topics machine learning and computer vision, they are more likely to start an AI company than others. We therefore see a large group of the companies with computer vision as their main product. Computer vision is one of the oldest fields of the new wave of deep learning technologies. This field already has a wide variety of software and datasets available so it is a more obvious market to pursue.  

Customer support, sales, marketing and customer communication are also easy pickings. Non-technical founders often end up choosing one of these markets to set up their new startup.

On the other hand, we only have a few companies in the space of automotive, legal, industrial, supply chain, security, and logistics. Many founders lack the industry insights to pursue the real problems in an industry and therefore struggle to build a new solution for it.

Half of Germany’s AI startups are located in Berlin

Berlin is leading with 54 % of all German AI companies, followed by Munich, Hamburg and Frankfurt Am Main.  

German AI cities

Berlin is the fourth largest global AI hub

On a global scale, North America have the most AI companies (921), ahead of Europe (632) and Asia (258).

Global AI startups

Silicon Valley is the strongest AI hub, followed by London, Paris and then Berlin.

Global AI hubs

In the European AI landscape, UK is the strongest, with London being the major hub. Germany is second, followed by the Nordics, France, Benelux and a long-tail of other European ecosystems.

European AI Landscape

The European AI landscape is growing but it is still very much in its infancy. To further strengthen the European and German AI landscape we need to build strong startups in new sectors and markets. We also need to build a healthy ecosystem and nurture the local scenes inside Europe.

One of our initiatives to pursue this goal is to arrange an AI conference in Berlin.

If you like to connect with AI companies, AI investors and journalists, you are invited to join our conference Rise of AI in May 2017.

 

If your startup is missing on the list below, please contact us.

These are the German AI companies we have identified and sorted by category:

Automotive

German Auto Labs – https://www.germanautolabs.com

 

Business Intelligence

Mapegy – http://www.mapegy.com

12k Research – https://12k.co

Fedger – https://fedger.io

 

Customer Communication

WunderAI – http://wunder.ai

chatShopper – http://www.chatshopper.com

149 Technologies – http://www.149tech.com

Yones – http://www.yones.net

e-bot7 – http://e-bot7.com

Gigaaa – https://gigaaa.com

Kweak.ly – http://kweak.ly

Unified Inbox – http://unifiedinbox.com

 

Customer Support

Parlamind – https://parlamind.com

Aaron – https://aaron.ai

Twyla – http://twylahelps.com

Fredknows.it – http://www.fredknows.IT

Sematell – http://www.sematell.com

 

Data Analytics

Leverton – https://leverton.de

Inspirient – http://www.inspirient.com

 

Fintech

Fraugster – https://www.fraugster.com

Sentifi – https://sentifi.com

Risk Ident – https://riskident.com

CollectAI – http://www.collect.ai

 

Health

stickIT – www.getstick.it

Xbird – http://www.xbird.io

Heuro Labs – http://www.heurolabs.com

Healthcare X.0 – http://www.healthcare-xnull.com

Kaia Health – http://www.kaia-health.com

MedX – http://medx.net

 

Human Ressources

MoBerries – https://www.moberries.com

12grapes – https://www.start12grapes.com

Job Pal – https://pal.chat

JobBot.me – http://www.jobbot.me

 

Image Recognition

EyeEm – http://www.eyeem.com

Twenty Billion Neurons – https://www.twentybn.com

Searchink – http://searchink.com

Tiresio – http://www.tiresio.com

Wizart – http://wizart.io

Peat – http://peat.technology

Terraloupe – http://www.terraloupe.com

Planet – http://www.planet.de

Picalike – http://www.picalike.com

 

Incubator

Merantix – http://merantix.com

 

Insurance

MotionsCloud – http://motionscloud.com

 

Legal

Synergist.io – https://www.synergist.io

 

Logistics

Cargoness – https://www.cargonexx.de

 

Process Automation

Micropsi Industries – http://www.micropsi-industries.com

Sota Solutions – http://sota-solutions.de

Arago – https://www.arago.co

Konux – http://konux.com

5Analytics – http://www.5analytics.com

N-Join – http://www.n-join.com

 

Robotics

Caspian Robotics – http://caspian.io

Kewazo – http://kewazo.com/

Xamla – http://xamla.com

Proboter Robotics – http://proboter.com

 

Sales & Marketing

EyeQuant – http://eyequant.com

So1 – http://www.so1.net

Pivii – https://pivii.co

The SaaS Co. – http://www.thesaas.co

Inbot – www.inbot.io

Goedle.io – http://goedle.io

Qymatix Solutions – https://qymatix.de

Adtelligence – http://www.adtelligence.de

 

Search

Versus- http://versus.com

Aivy – https://aivy.io

Feelyt – https://www.feel.yt

 

Security

AVA – http://www.ava.info

Neokami – https://www.neokami.com

 

Software Development

Deckard AI – http://www.deckard.ai

Heili – http://www.heilihq.com

Lastmile – http://golastmile.com

Weps – http://getweps.com

Lateral – https://lateral.io

Autumn AI – http://autumnai.com

Explosion AI – https://explosion.ai

Spacy – https://spacy.io

Acellere – http://www.acellere.com

Simspark – http://www.simspark.com

 

Supply Chain

Evertracker – http://www.evertracker.com

 

Travel

Voya Travel – https://voya.ai

 

Created by Fabian Westerheide & Lars Holdhus – Asgard – smart VC for AI – Berlin – 2017

AI First – Artificial Intelligence Is Taking off in 2017

From online-first to mobile-first, we are currently entering the phase of AI-first. Artificial Intelligence is the consequence of an online, digital, connected, mobile, data-driven, computerized world. Let me explain why.

The 5 Main Drives for the Rise of Artificial Intelligence

There are five main drivers supporting the current Rise of Artificial Intelligence.

The more data the better for Artificial Intelligence

Nowadays almost everything is based on data. We humans measure, store and analyse everything imaginable. Every machine is based on data, with everything ultimately reducing down to a zero or a one.

The amount of data we produce as humans and machines is increasing every year. The more data we produce, the more of it we can feed into Artificial Intelligence systems. Why? Because we need it. The more data generated, the more complex our environment gets. Artificial Intelligence helps us to reduce some of that complexity.

Cloud solutions have started a process in which data is no longer stored on just one physical server, but is accessible everywhere at all times. This means the data can be harnessed more easily and used by other software, including AIs. Some call it the API economy, and even now Machine-to-Machine (M2M) communication already creates more data than human-to-human communication.

Artificial Intelligence is embedded into hardware

Chips are the brains of computers and they are getting a lot smarter. Google builds its own AI chips, as do Microsoft and Nvidia. The special chips they create are suitable for running neural networks and other machine learning tools which can support smarter AIs.

Soon these chips will meet the Internet of Things wave. AI-strengthened chips will be integrated into mobile phones, tablets, cars, drones, vending machines, robots and TVs. We can expect an intelligence upgrade for electronic items.

Software becomes smarter and hybridized

Every day there are really smart people out there improving on tools to create Artificial Intelligences. We are also starting to see more and more hybrid systems which combine expert systems, machine learning, bots and deep learning.

Deep learning has been around for 15 years, but has only come to the public’s attention in the last 3 years. There are therefore still a lot of findings and research results to be analysed and applied to real-world problems.

Universities researching machine learning and cognitive systems are now getting more attention, funding, clients and applicants. The academic world is awakening from its hibernation.

It is going to be easy to build your own Artificial Intelligence

You want to build your own AI one day? Deepmind has opened their own open source lab. OpenAI offers Universe for training of AIs. Google also shares Tensorflow. You can also use Theano and Torch.

There are already plenty of tools and soon there will be even more. Day by day, creating, building and training Artificial Intelligence systems will become easier and easier until we reach a democratization of intelligence creation.

Capital follows the entrepreneurs into AI

Over the last two years we have seen a surge in AI companies. Not everything which is labelled AI contains an AI inside. Maybe 90% of the companies are applying machine learning, but they aren’t building a self-improving, cognitive system.

Nevertheless, the trend is very positive. And where the ideas are, the money follows. Americans VCs have poured billions of dollars into AI startups.

Google, Twitter, Intel, Apple, Microsoft, Salesforce, Facebook, eBay, Oracle – they have all recently purchased young AI companies.

Consequence of the Rise of Artificial Intelligences

New technologies always bring about change.

Four steps towards Artificial Intelligence

There are four steps for a company to reach Artificial Intelligence.

From Big Data to AI

Firstly, data needs to be collected, stored and analysed. This is outdated thinking and tells you something about the past.

Secondly, machines start to make predictions based on the data. These predictions help humans to make faster, easier and better decisions.

Thirdly, machines make predictions, execute them, measure the results and then change the inputs and constraints to optimize the output goal.

Fourthly, machines achieve automation. They are becoming motivated cognitive agents and are able to use their various learned behaviours to create new transferable knowledge.

Most (old-economy) companies are at stage one or below. They know they have data and start collecting it.

Many digital companies (ecommerce, mobile, gaming) work with their data and are often on stage two.

Google, Amazon, Facebook & Co are leading the applied AI fields. Some parts of their companies are on stage three.

Stage four will come. Some brilliant teams are working on it.

You have to train an Artificial Intelligence

Artificial Intelligence systems have to be trained. It’s no longer a case of programming them and thinking they’re finished. An AI is never finished. There is always more it can learn, get better at, improve and ultimately deepen its knowledge.

Modern AI is like a child. You have to teach the AI everything: how to understand text, how to watch videos, how to listen to audio or how to generate language.

Some fields are easier to learn, like computer vision. Other tasks are much harder, such as understanding text.

Artificial Intelligence is eating your business

The new wave of AIs, often implemented by digital companies and start-ups, will eat many smaller businesses for breakfast. AI is a horizontal technology. It is impacting many industries (logistics, automotive, pharmaceutical, insurances, media, manufacturing, retail), systems (networks, cities, states), companies and humans.

In general, AI achieves two things. It makes processes more efficient and it makes stupid machines smarter. A self-driving car is smarter than a human-driven car. Using the Google search algorithm is more efficient than going to the library.

A future with less human work

However, this leads to several challenges.

One challenge is that applied AIs will drive companies out of business, force political change and force individual humans to adapt.

The other challenge is that millions of tasks will be done by machines. New jobs will be created (e.g. machine trainers), and there will be less demand for human labour. Why? Because that is why we invent machines in the first place (watch my TEDx talk to learn more or read 22 jobs disappearing in future); so that they work for us.

Artificial Intelligence is neither evil nor bad. It is a tool we use to generate more wealth, more happiness and more health for humans on earth. But change is never comfortable. AI forces the human species to leave their current comfort zone.

AIs brute force experiences

So what else can we expect? AI systems are already developing their own languages and encryption methods. Other AIs are able to generate images and videos. There are plenty of exciting things coming to the market over the coming years.

We can assume that some technical problems will be overcome: unclean data, unstructured data, limited access to data and biased data.

Furthermore, machines struggle with high degrees of abstraction during their learning phases. Humans today still learn more efficiently than machines. To achieve similar levels of intelligence, we have to train machines with significantly more data. Google’s AlphaGo was only able to beat the human world champion at Go because the AI system practised by playing millions of games. Since AIs can learn faster and in parallel, they brute-force experiences.

Another academic challenge is to build cognitive systems which can generate transferrable knowledge. This means combining different modules of an (artificial) brain.

AI is good for humankind

Sure, there is more: AI-assisted teaching, the jobless future, income equality, personalized medicine, self-moving objects, personal assistants for everyone.

The wide application of Artificial Intelligence will lead to prosperity, lower energy costs, more mobility, free education, longer and healthier lives and increased luxury.

Currently, AI is a bit overhyped because Hollywood, Techcrunch and Journalists find it easier to write about AI than other topics. Nevertheless, the underlying trends are strong. AI won’t go away. We should look forward to and embrace it.

If you would like to have a full day of great insights into Artificial Intelligence, then join our conference Rise of AI May 2017 in Berlin. If you just like to talk, ping me via twitter. If you look for capital, then check out Asgard – human VC for AI.

7 reasons you should join us for Rise of AI 2017 – Artificial Intelligence conference in Berlin

Rise of AI is one full day to learn about the status of Artificial Intelligence, think about the future and discuss its implication for society. 7 reasons why you should join too.

Europe’s most exciting conference for Artificial Intelligence

We started small. First 20 people at cbase speaking about “Did Singularity already happen?“. Then 100 futurists met at hub:raum and spoke about “Rise of AI – The Singularity might be closer than you think“. Half a year later, 170 forward-thinkers came together at Betahaus for “Rise of AI – Human coexistence with Machines“.

Now we are hosting the third time Rise of AI (www.riseof.ai) for 350 guests. We organize an exciting, intellectual, inspiring and unique event about Artificial Intelligence here at Berlin. We invite the greatest minds to the Deutsches Technikmuseum to discuss, talk, network and understand.

7 reasons why you should come to Rise of AI

#1 Artificial Intelligence is critical

Currently everyone talks about AIs. But what are AIs? Elon Musks warns us, as well as Hawking and Gates. Do you understand what AIs can do today? Have you thought about the progress of AIs the next years? You should. It could be the last invention of human kind.

#2 Superhealth. Superhappiness. Superwealth.

Artificial Intelligence has influence on your health, your wealth, your personal happiness, your free time and your job. Are you only an observer and watch it rolling over? Or do you want to be active and influence the change!

#3 Strong content

We have invited really amazing speakers. Prof. von der Malsburg hat 50 years of AI experiences. William Hertling writes crazy-creative books about AI conquering the world (12 books you should read to prepare for Singularity). Dr. Trent McConaghy combines AI + blockchains and believes machines take over the world. Prof. Danko Nikolic is a brain researcher and does not agree with Trent. Joel will moderate the day. And even some members of the German Bundestag have signed up.

#4 Interactive program

Keynotes can be great, but knowledge goes only one way. Therefore we have organize AI-Topic-Leaders. These are small workshops, where you can discuss more current topics with experts. Accelerated Dynamics will show us some autonomous drones and AI-startups will give us demos of their products.

#5 Meet the speakers and network

I don’t like it, when after a talk the speaker disappears. Therefore our speakers will be at their tables and open for a more personal Q&A sessions. Use this opportunity to meet them.

Additional networking is key for us. There is plenty of time and reason to meet new people, learn, exchange ideas and make contacts.

#6 We have a mission

We (my wife and I) organize Rise of AI, because we have a mission. We want to educate about Artificial Intelligence. We wish, that AIs will help us humans to conquer the galaxy one day. AIs will make our lives better, longer and more convenient. Additional there are challenges and risks (from jobless future to superintelligence). We need to address them before it is too late. Therefore Rise of AI is a platform for interested people to meet, discuss and learn.

#7 Historical location to talk about the future

Where else do you want to talk about the future? The Deutsche Technikmuseum Berlin is a historical location, where the past meets the future. You can see the first computer (Z1 by Zuse) and other great inventions of human kind.

Deutsches Technikmuseum

Do you need more reasons? Then check out our speakers and our program.

Have a look at Rise of AI for the most recent program, workshops, companies and early bird tickets.

25 future movies to watch to prepare for singularity

Movies are the vision someone has of the future. They are like books (12 books to read), but we see what the maker wants us to see.

Following movies I think a worth watching. I have seen of them, some of them more than once. Every movie has a message for us. Every movie lets you think about the future.

The movies discuss the consequences of artificial intelligence, robotics, virtualization, genetics, uploading, time travel, multi-dimensions and space conquest. They challenge us to define, how much control belongs to the state, how we treat the poor and the rich, what system of ruling we accept.

These movies I recommend for everyone loving to think how the future might be.

Wall E

Fun way to start to think about the future for humans. Are machines our slaves?

Ender’s Game

Strategic, some Action

I, Robot

Action, be aware that by 2030 there will be 1 robot on earth for every human.

Surrogate

Action, think about facebook and oculus rift

Tron Legacy

Just beautiful and nostalgic

Black Mirror

Great mini series of BBC, asks some good questions how society changes with technologies.

Gamer

Action, like Call of Duty with virtual reality

Gattaca

Great movie, will genetic engineering divide or unite human society?

Elysium

Action, too much dystopia. However Elysium itself looks great.

Limitless

Our way to compete agains other intelligences

Ex Machina

Watch it, if you want to know, if a machine should be like a human. Artificial Intelligence and its implications. Sweet ending.

Matrix

Mind changing movie.

Blade Runner

Old. However should be on your list.

Looper

Time Travel + Action

12 Monkeys

More Time Travel + Action + old

Interstellar

What is the fourth dimension?

2001

Creepy movie, a must-have to watch. Is Artificial Intelligence our friend or enemy?

Minority Report

That stuff is real. Police can prevent crimes before they happen trough big data predictions. And nobody cares.

Tributes of Panem

Don’t mind the games, but observe the three class system of societies.

Her

Quiet movie. What happens if you fall in love with an artificial intelligence?

Transcendence

Thought about uploading before?

Aeon Flux

Artistic action

Prometheus

Where are we humans coming from?

Starship Trooper

We fight.

Equilibrium

I don’t know why. I have seen it over and over.

Stargate

The best series of my youth. I have named Asgard after it.

Star Trek

Humans are explorers.

Star Wars

Humans are conquerers.

 

Contact us anytime

Get in touch with us:contact@asgard.vc