[ AI Startup Landscape 2019 ]
The 214 most promising AI startups working across enterprise functions, enterprise intelligence, AI tech stack and industries.
Andrew Ng, one of the most renowned AI researchers, says that “AI is the new electricity.” One can only imagine what impact AI will have on our daily lives ten years from now. As general purpose technology, AI has an unlimited number of applications – many of which have the potential to augment human capabilities, vastly improve the quality of products and services, make processes more efficient and environmentally friendly, and ultimately free us from many cumbersome tasks.
Currently, the US and China are leading in the adoption of AI, so it’s no surprise that the majority of the 100 best AI startups in the world are American or Chinese (see CB Insights AI 100 list). Although Germany is one of the world’s powerhouses of industry, with a particularly strong network of SMEs, it is underrepresented in the number of top AI startups. In 2018, not a single German AI startup made the cut, and in 2019 just one Berlin-based startup (Twenty Billion Neurons) made it to the AI 100 list.
This is alarming because startups reflect the innovative power of a country, and Germany has to do much more to avoid falling behind. As Alan Kay said, “The best way to predict the future is to invent it.”
That is why appliedAI – with the help of our +40 partners from academia, government and industry – set out to create an ecosystem in which AI startups can flourish and help shape the future of AI for the benefit of society. We support German AI startups by helping to identify pilot customers, access data, find talent, and select hardware resources.
Together with our contributors, technology companies NVIDIA and Google, as well as six leading Venture Capital companies (Digital+ Partners, Earlybird Capital, High-Tech Gründerfonds, HV Holtzbrinck Ventures, Lakestar, and Unternehmertum Venture Capital Partners), we screened more than 1000 startups to find the best AI startups in Germany. The 214 AI startups that stood out are displayed in the landscape below.
The appliedAI team
The AI startups included in the landscape are private companies founded after 2009, with headquarters or significant development activity in Germany. They have machine learning (ML) at their core or exhibit a significant usage of ML. The selection process can be summarized as follows:
- The startups are gathered from different public (e.g. Crunchbase, LinkedIn) and private (VC network) sources to create an extensive longlist.
- The startups are evaluated based on: data, talent, AI methods, scalability, overall quality and subsequently clustered (see clustering logic).
- The startups are initially rated (‘valid’, ‘upcoming’, ‘longlist’, and ‘discarded’) by our AI Engineers and Strategists to create a shortlist.
- The shortlist is independently evaluated and rated by our contributors (jury) (Digital+ Partners, Earlybird Capital, Google, High-Tech Gründerfonds, HV Holtzbrinck Ventures, Lakestar, NVIDIA, and Unternehmertum Venture Capital Partners). The feedback is synthesized and the final result is visualized.
The clustering logic is based on Shivon Zilis’ landscape of machine intelligence. It is developed from the point-of-view of companies that want to use AI in their businesses:
- Enterprise Functions: Increasing productivity of existing tasks – Support your employees with ready-to-use, AI-enabled tools supporting their day-to-day work to increase productivity.
- Enterprise Intelligence: Exploiting new data sources – Tap into new insights that were previously too difficult or expensive to be gained through conventional methods.
- AI Technology Stack: Building products with ML: Give developers the tools that they need to build and leverage machine learning software to gain a competitive advantage.
- Industries: Leveraging AI-first products: Use and cooperate with startups using machine learning to offer industry-related products and services.
Facts and figures
The concentration of AI startups in Berlin and Munich is relatively high, while the rest of Germany remains very low. 40.2% (2018: 38.6%) of AI startups are Berlin-based. Munich has 26.6% (2018: 23.5%) of AI startups, followed by Karlsruhe with 4.2% (2018: 4,5%). Only cities with 2 or more startups are displayed.
Since 2009, the AI startups displayed have collected $1.2 billion in total funding. Munich has 34% fewer AI startups than Berlin, but its startups collected 24% more funding (Munich $359m vs Berlin $290m). Average funding per startup in Munich is also almost twice (factor 1.8) the average in Berlin (Munich: $6.37m vs $3.41m). Hamburg (Kreditech: $437m total funding) is considered an outlier. Only cities with more than $1m total funding are displayed.
Startups in this category provide different AI solutions for specific company functions such as Customer Support, Sales & Marketing, HR etc. Most of the products aim to make humans working in these fields more productive.
Using technologies like natural language processing (NLP), startups in this category try to improve customer service e.g. via automating parts of the customer interaction via chatbots.
Sales & Marketing
Startups in Sales and Marketing use, for instance, NLP and computer vision (CV) to e.g. optimize marketing campaigns, generate better user experiences or support content creation.
Finance & Accounting
Startups in Finance & Accounting often leverage natural language processing and computer vision, to automate accounting tasks. An example would be an app that facilitates “Fotoüberweisung”.
IT & Security
In IT & Security startups focus on problems such as fraud detection and prevention via AI, as well as physical security e.g. via smart surveillance cameras.
Startups leverage NLP to e.g. check contracts for abnormal clauses.
In Human Resources, startups use, for example, natural language processing to match applicants with job recquirements.
Startups in Enterprise Intelligence use machine learning to exploit new data sources within companies.
Startups in this category focus on computer vision via machine learning (e.g. object recognition, face recognition, video analysis, gesture recognition).
Startups in this category focus on analyzing audio material and products revolving around natural language processing algorithms.
Startups in this category enable analysis of sensor data for different use cases.
Startups in this category focus on predictive analytics, process mining and by that supporting business intelligence.
Startups in this category leverage AI to derive insights from market data, for instance, automated patent analysis.
In the Text category startups using e.g. natural language processing, they provide solutions for content and knowledge discovery or data extraction and analysis.
AI Technology Stack
AI Technology Stack startups enable the development of machine learning products.
As the name suggests, those startups provide natural language processing tools.
These startups offer platforms/products for data analytics, artificial intelligence and machine learning development.
Startups in this category are focusing on data annotation and preparation to enable supervised machine learning applications.
Startups in this category use AI to enable privacy protection.
In this category, startups are creating hardware specifically for AI-applications.
In the “Industry” cluster, startups with a particular focus on one industry are listed.
In the Finance category, startups providing AI-enabled finance solutions.
Health & Pharma
In the Healthcare and Pharmaceuticals category startups provide different kinds of solutions for consumers, physicians or hospitals.
In the Manufacturing category startups e.g. provide AI robotic solutions to make production processes more efficient.
In the Agriculture category startups e.g. provide crop monitoring.
Retail & Commerce
In the Retail & Commerce category startups are offering different products and services for retailers and consumers.
Transportation & Mobility
Startups in this category provide AI mobility solutions for the automotive industry.
In the Logistics category, startups provide logistics solutions fueled by AI.
In the Autonomous Systems, startups provide solutions for autonomous systems in automotive, aerospace and robotics.
In the Consulting category, AI consulting startups are listed that expressed the aim to develop AI products as well.
In the Other category we listed AI startups that did not fit any of the above categories. They provide a wide range of AI products, ranging from e-sports to construction.
STARTUP DATA & PERMISSION TO REUSE
The following table lists the 214 startups selected for the AI Startup landscape 2019. To make it easy to discuss the results of this landscape, you can always refer to the static version. We believe that sharing this information is our obligation. Using this landscape as part of a presentation, talk, or project is allowed and encouraged as long as you always use the visual representation and reference us appropriately. Changes to our landscape have to be marked as your own changes. The content of this insight is published under CC-BY 4.0.
|2txt.de||Cross-Industry||Sales & Marketing|
|20bn.com||Retail & Commerce|
|ablacon.com||Healthcare & Pharma|
|ada.com||Healthcare & Pharma|
|adbonitas.com||Cross-Industry||Sales & Marketing|
|aipark.io||Transport & Mobility|
|aiserve.co||Healthcare & Pharma|
|apostera.com||Transport & Mobility|
|artisense.ai||Transport & Mobility|
|atlatec.de||Transport & Mobility|
|audatic.ai||Healthcare & Pharma|
|ava.info||Cross-Industry||IT & Security|
|blackout.ai||Cross-Industry||Sales & Marketing|
|candis.io||Cross-Industry||Finance & Accounting|
|cellmatiq.com||Healthcare & Pharma|
|cleanride.io||Transport & Mobility|
|code-intelligence.com||Cross-Industry||IT & Security|
|comtravo.com||Transport & Mobility|
|crossengage.io||Cross-Industry||Sales & Marketing|
|dedrone.com||Cross-Industry||IT & Security|
|door2door.io||Transport & Mobility|
|esrlabs.com||Transport & Mobility|
|fineway.ai||Transport & Mobility|
|firamis.de||Finance & Insurance|
|foodtracks.de||Retail & Commerce|
|fraugster.com||Cross-Industry||IT & Security|
|free-machines.com||Retail & Commerce|
|germanautolabs.com||Transport & Mobility|
|gohidoc.com||Healthcare & Pharma|
|gpredictive.de||Cross-Industry||Sales & Marketing|
|hawkai.tech||Finance & Insurance|
|imfusion.com||Healthcare & Pharma|
|inkitt.com||Media & Publishing|
|innoplexus.com||Healthcare & Pharma|
|ki-elements.de||Healthcare & Pharma|
|konux.com||Transport & Mobility|
|kreditech.com||Finance & Insurance|
|laralab.de||Healthcare & Pharma|
|lilium.com||Transport & Mobility|
|mediaire.de||Healthcare & Pharma|
|metoda.com||Retail & Commerce|
|naventik.de||Transport & Mobility|
|nyris.io||Retail & Commerce|
|omnius.com||Finance & Insurance|
|othoz.com||Finance & Insurance|
|pairfinance.com||Finance & Insurance|
|parkling.eu||Transport & Mobility|
|picalike.com||Retail & Commerce|
|picsure.ai||Finance & Insurance|
|presize.ai||Retail & Commerce|
|recogni.com||Transport & Mobility|
|semalytix.com||Healthcare & Pharma|
|sensape.com||Cross-Industry||Sales & Marketing|
|sigratech.de||Transport & Mobility|
|simplaex.com||Cross-Industry||Sales & Marketing|
|smart-radiology.com||Healthcare & Pharma|
|so1.ai||Retail & Commerce|
|socialsweethearts.de||Media & Publishing|
|styla.com||Cross-Industry||Sales & Marketing|
|taxy.io||Cross-Industry||Finance & Accounting|
|teraki.com||Transport & Mobility|
|trydonut.com||Finance & Insurance|
|ubermetrics-technologies.com||Cross-Industry||Sales & Marketing|
|umi.systems||Transport & Mobility|
|voya.ai||Transport & Mobility|
|wearefaer.com||Retail & Commerce|
|x24factory.com||Retail & Commerce|
|xain-group.com||Transport & Mobility|
|xbird.io||Healthcare & Pharma|
|xccelo.com||Cross-Industry||IT & Security|
|yukkalab.com||Finance & Insurance|
|zana.com||Healthcare & Pharma|
|zeitgold.com||Cross-Industry||Finance & Accounting|
|zyse.me||Retail & Commerce|