AI and Machine Learning Landscape Contribute to this list. Some commentators point to the vast amounts of data available to big technology companies such as Google and Amazon and argue that startups may not be able to compete. Mapping Singapore’s “Fintech + AI” Landscape. They have machine learning (ML) at their core or exhibit a significant usage of ML. This list features the 214 most promising AI startups in Germany. The map is an initiative led by AI Sweden, Ignite Sweden and RISE, and part of an ongoing European initiative to create a landscaping of AI startups in each country.It has been curated by investors, large companies, academia, startups and incubators. StartupHub.ai is the hub of Artificial Intelligence startups in Israel. Launch of the European AI Startup Landscape. Using Crunchbase data for new AI companies, a report by RS Components, has analyzed the AI startup landscape, revealing which countries have seen the most AI companies founded and how much funding they have secured. Can small startups hope to enter AI markets and compete effectively? The AI Startup Landscape contains private start-ups with their headquarters in Germany, which were founded after 2009. AI Startup Landscape In 2019, we made it on the list of appliedAI’s “AI Startup Landscape”. Labelbox - Platform for creating and managing training data. They have collectively raised $504 Mn funding since 2014. Startups have an important role in creating innovation and growth, especially in the field of AI. In our European AI landscape, we already identified the United Kingdom as the leading country for Artificial Intelligence in Europe.With a market share of 7%, the UK stands well in international competition for AI funding, research, and talents. The picture that emerges is one of a robust, competitive market for startups, but also a market that is restricted in some important ways. 89 Swedish startups have been selected on criteria such as their use of AI, scalability, access to and use of data, and AI skills of their personnel. NVIDIA Inception is an acceleration program that nurtures cutting-edge AI startups and scaleups, equipping them with the support, training and tools they need to disrupt key markets worldwide.. StartupHub.ai is the hub of Artificial Intelligence startups in Israel. Top 20 AI startups in Singapore. Amazon’s Alexa provides medical advice for users’ symp… Startups have an important role in creating innovation and growth - especially in the field of AI. Launch of the European AI Startup Landscape. Robert Seamans is an associate professor at New York University’s Stern School of Business. The AI startup ecosystem is thriving. Simply fill out our AI Landscape form, we’re happy to keep track of your request! After looking at European SpaceTech landscape, I moved further exploring Frontier Tech and dig into European AI landscape.I’ve analyzed 797 European-based startups, deriving from our network at Maxfield Capital and Pitch Book & Tracxn databases.. Main goals of this research were to outline: most well-funded sectors among AI startups; We welcome additions and changes to this list, let us know on Slack. We are proud and happy to announce that Wavr Tech is part of the Swedish AI Startup Landscape!. ©2020 Fritz Labs Incorporated. AI Sweden has curated the … AI Landscape Austria v3.0. Join us for the release of the European AI Startup Landscape on 17 November! For the German AI Landscape Map, we created a list of over 600 European AI startups based on internal research mainly … The AI Startup Landscape; The AI Startup Landscape. We are proud and happy to announce that Wavr Tech is part of the Swedish AI Startup Landscape!. This year’s winning companies include startups working on synthetic voice, quantum machine learning, protein modeling, and more. The selection process can be summarized as follows: The startups apply to become part of the … The larger share for startups in retail and financial services likely reflects venture capital funders’ priorities. With the objective to foster and accelerate AI in Europe, appliedAI by UnternehmerTUM (Germany), Ignite Sweden, AI Sweden and RISE Research Institutes of Sweden came together to start the initial steps in mapping the AI startup ecosystem in Europe. The AI German Startup Landscape poster published on a yearly basis and creates an overview of AI companies active in different industries. There are relatively fewer AI startups selling in consumer packaged goods, transportation and logistics, suggesting entry barriers in these industries. It was a time of seemingly infinite promise: AI was going to not just redefine everything in business, but also offer entrepreneurs opportunities to build category-defining companies. Effectively, the startup’s development costs are shared across all their customers. A recent survey we did of commercial AI startups provides some intriguing insights into how they work, and how and where they compete with larger and more established firms. Importantly, most of the startups retain secondary rights to customer data; that is, they act as aggregators, collecting data from multiple customers. AI startups can meet the needs of these companies. Startup developers of commercial AI applications operate in a competitive market. About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new … According to Accenture, artificial intelligence (AI) in the healthcare industry could potentially save $150 billion for the US annually. AI Innovation Landscape . Copyright © 2020 Harvard Business School Publishing. A total of 8 startups from Canada are featured on the 2020 … On the other hand, if larger firms spend proportionately more in some areas, this would suggest the presence of entry barriers. Sensative part of the Swedish, and now European, AI startup landscape map, bringing AI onto IoT, Smart City, Smart Buildings, and Smart Homes As a Venture Capital firm for Artificial Intelligence we follow the growing AI market closely. Large incumbent tech firms have several advantages over startups: they can invest huge sums into R&D, they have access to large amounts of data, and they have complementary assets and established markets. Over 500 cutting-edge AI startups in 25 different … Large incumbent tech firms have several advantages over startups: they can invest huge sums into R&D, they have access to large amounts of data, and they have complementary assets and established markets. On net, this variety suggests that the market for AI is healthy and competitive, with opportunities for newcomers. Learn more The average startup has been operating for […] Because of the important role that commercial AI applications companies play for mid-sized firms, startups sell disproportionately to them. South Korean startup Cochlear.ai raises $2 million Series A to detect the sounds missed by speech recognition Catherine Shu @catherineshu / 2 months … The AI startups included in the landscape are private companies founded after 2009, with headquarters or significant development activity in Germany. The AI startups included in the landscape are private companies founded after 2009, with headquarters or significant development activity in Sweden. Barriers to entry may exist in some industries, but the survey overall points to a robust and competitive market for AI developers. Big tech companies are pouring tens of billions of dollars into research on artificial intelligence (AI). 4 AI-driven lawtech startups changing the legal landscape. From our view, London is a global financial hub, and therefore funding for AI companies … The German Artificial Intelligence Landscape - AI made in Germany. This is why I decided to map the Fintech + AI startups landscape in Singapore. This launch event is a breakout session of Sweden Innovation Days and it will be held after The AI … But these projects often require large fixed investments. Where barriers to entry are low, both large established firms and small startups will focus their efforts and investment on the industries with the greatest opportunities, and therefore one would expect the distribution of large and small firms’ AI investments to look similar. European AI Startup Landscape Posted 2020-11-18 2020-11-18 Jaroslav Bláha CellmatiQ is honored to be included in this first ever overview of ca. The picture that emerges is one of a robust, competitive market for startups, but also a market that is restricted in some important ways. Researchers at Boston University and New York University conducted a survey of AI startups to get insights about the competitive landscape. In recent years the number of AI startups has grown by an average of 20%. Results See all results Israel’s AI Fintech Startup Landscape Map 2019 There’s over 100 active Fintech AI startups in Israel, applying innovative AI technologies (machine learning, deep learning, natural language understanding,… July 1, 2019 Multinational Corporations With AI R&D in Israel Israel is an Artificial Intelligence (AI) hub for … The Austrian AI Startup Ecosystem. These companies all make significant use of machine learning (ML). Explore on-demand episodes of the startup programming offered during GTC featuring NVIDIA’s own CEO, Jensen Huang, and leading experts discussing where AI … These differences suggest that although AI startups market to all industries, larger firms still dominate in some. Because of this, small and mid-sized companies cannot afford to make comparable investments and they often lack the IT talent to do so in any case. In the CDN industry, AI is absent. ... Over the last five years, AI startup exits averaged $121 million per deal, selling for 5.6 times their total funding at the date of exit. AI in Healthcare Innovation Landscape 2020. And thus, AI startups can still compete with larger companies even without enormous datasets to work with. The landscape is curated by AI Sweden, appliedAI by UnternehmerTUM, Hub France AI, … Israeli AI startup sector deep dive in Enterprise IT. In this way, they can build large data sets over time. The large companies making big AI investments largely invest for their own use. Startups have an important role in creating innovation and growth, especially in the field of AI. Thea Sokolowski. We welcome additions and changes to this list, let us know on Slack. Find any problem in any industry, whether it’s in eCommerce, manufacturing, insurance, medicine, airlines, or anywhere else, and there are likely to be a dozen AI startups that can address the problem in some way, shape, or form. Name Description Industries Founded Status Employees Location Website; Bonsai: Bonsai offers an AI platform that empowers enterprises to build and deploy intelligent systems. With hundreds of AI Healthcare startups out there, we have identified over 170 AI startups allocated to one of thirteen broad healthcare areas and gathered them on one landscape below. That is why AI Sweden, Ignite Sweden and RISE have launched the first ever curated landscape of Swedish AI startups. Google and Temasek project Indonesia’s digital economy to become the largest in Southeast Asia as its market value triples to from US$27 billion in 2018 to US$100 billion by 2025, promising more internet services for an emerging tech-savvy generation.. Today, Indonesia has thousands of startups and four unicorns. Here are some of the key highlights of the report. On November 17, 2020 during the virtual Sweden Innovation Days event the first version of the landscape was presented which includes over 500 startups … As a Venture Capital firm for Artificial Intelligence we follow the growing AI market closely. That is why AI Sweden, Ignite Sweden and RISE are launching the first ever curated landscape of Swedish AI startups. This is followed by biotech startup RWDC, which raised $17.6m (US$13m) and $29.8m (US$22m) last October 2018 and April 2019, respectively, as well as artificial intelligence (AI) solutions provider AnyMind, which bagged $21.4m in March. Would you like your company or institution to be included in future updates? Healthcare use cases among emerging AI startups. The AI and Machine Learning landscape is rapidly changing. 500 European AI … AI Sweden, appliedAI by UnternehmerTUM (Germany), Hub France AI, Ignite Sweden, and RISE Research Institutes of Sweden have joined forces to map the AI startup ecosystem in their countries with the objective to foster and accelerate AI … Read more.. EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List. AI Sweden, appliedAI by UnternehmerTUM (Germany), Hub France AI, Ignite Sweden, and RISE Research Institutes of Sweden have joined forces to map the AI startup ecosystem in their countries with the objective to foster and accelerate AI in Europe. The AI and Machine Learning landscape is rapidly changing. European AI Startup Landscape. The legal sector is ripe for AI disruption, and lawtech startups like Luminance, Legal Technology Services, Ravel Law and Lex Machina are already making headway. Startups have an important role in creating innovation and growth - especially in the field of AI. Roadstar.ai is a startup that’s leveraging artificial intelligence to build a new generation of autonomous driving software. III. Half the firms (51%) also use their own proprietary data, which they almost always use in conjunction with data from other sources; only 6% rely solely on their own proprietary data. Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Together with AI Innovation of Sweden and RISE, Ignite Sweden is now screening the country to find the best AI startups that we believe will accelerate and contribute to the use of AI applications in Sweden.. I love startup landscapes. The mapping is a part of an ongoing European initiative to create a landscaping of AI startups in each country. Startups play an important role in creating innovation and growth, especially within the field of AI. Some commentators point to the vast amounts of data available to big technology companies such as Google and Amazon and argue that startups may not be able to compete. The AI 100 is CB Insights' annual ranking of the 100 most promising AI startups in the world. Alegion - Training platform to build datasets, manage, and more The landscape which includes over 500 startups from France, Germany and Sweden was supported by the German Entrepreneurship, German Accelerator, Vinnova, appliedAI, Ignite Sweden, AI Sweden, RISE Research Institutes of Sweden and Hub France IA. We use third party cookies and scripts to improve the functionality of this website. Landscape of startups using reinforcement learning. However, as the chart below indicates, there are relatively more startups than larger firms serving retail and financial services industries. Written By. The AI startups included in the landscape are private companies founded after 2009, with headquarters or significant development activity in Germany. In 2020, 247 startups were listed and dida can be found at "Industries" and then "Other". They have machine learning (ML) at their core or exhibit a significant usage of ML. The data that AI startups do use generally comes from their own customers. As of 2018, there are a total of 4,892 startups in the Indian healthtech space. Google constantly experiments with its search engine to improve its results rather than simply relying on its volume of search data, and Amazon has found that the accuracy of its predictions in e-commerce does not continue to improve by simply adding more products. Source: Prasanth Aby Thomas, Consultant Editor ; Date: 2020/09/28; Related tags: Artificial Intelligence, Video analytics, startup … In other words, it is not the quantity of the data, but how the company uses it, that provides the competitive advantage. It’s been a while since I posted the first Israeli startup landscape collection (August 2018) and second batch (Nov 2019) of Israeli startup maps. With the objective to foster and accelerate AI in Europe, appliedAI by UnternehmerTUM (Germany), Ignite Sweden, AI Sweden and RISE Research Institutes of Sweden came together to start the initial steps in mapping the AI startup ecosystem in Europe. Indonesia’s startup landscape is one of the most dynamic in Asia. 80% of the respondents in our survey report using their customers’ data, including data about their customers’ customers and users. Data Labeling. Not every company that lists AI as a part of their product has AI in it. Labelbox - Platform for creating and managing training data, Alegion - Training platform to build datasets, manage, and more, Clickworker - Micro tasking marketplace, catering data management and web research services as well as AI algorithm training, Appen - Training platform that helps turn data into trainable sets, Gengo AI - Training platform for language-based ML tasks, Mighty AI - Training data management for Computer Vision tasks, Scale - Training data API largely focused on Computer Vision tasks, CloudSight - Image recognition API for digital media, Hive - Data labeling, Computer Vision models, and media platform, Microwork - Image and video annotation services for AI, AI.Reverie - Simulation platform that generates synthetic data to train and improve ML models, Neuromation - Distributed computing platform for deep learning applications and synthetic data generation, Feature Labs - Automated feature engineering platform for enterprise, Featuretools - Open source Python framework for automated feature engineering - a product of Feature Labs, Source{d} - Machine learning for large scale code analysis, ClusterOne - Deep learning platform that allows you to train your models on distributed GPUs and CPUs without setup or maintenance, DataBricks - Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business, DAWNBench - Benchmark suite for end-to-end deep learning training and inference out of Stanford, Hyperopt - Distributed asynchronous hyperparameter optimization in Python, Lambda Labs - Workstations, Servers, Laptops, and GPU cloud built for Deep Learning, Exxact - Deep Learning Workstations and Servers, PaddlePaddle - An open-source deep learning platform with a simple API, Paperspace - GPU cloud platform (w/ API), AI/ML infrastructure product, RiseML - Machine Learning Platform for Kubernetes (:cry: - Sunsetting March 31, 2019), Spell - Infrastructure for AI and deep learning experiments and collaboration, Trifacta - Data preparation and cleaning platform, Yellowfin - Integrated data analytics platform, 5 Analytics - Enterprise AI platform to integrate, deploy, and monitor ML models, Algorithmia - Machine learning model management platform, Numericcal - Platform to automate model optimization and management on mobile and IoT, Seldon - Machine learning deployment platform for Enterprise, Vertex AI - PalidML is an open source tensor compiler, Alteryx - Integrated analytics platform built to foster partnerships between IT, analytics teams, and businesses, Datatron - Management platform for ML, AI ,and Data Science models, Datmo - Workflow tools to help you experiment, deploy, and scale AI solutions, DVC.org - Open-source Version Control System for Machine Learning Projects, MLFlow - Open source ML lifecycle platform, MLPerf - A broad ML benchmark suite for measuring performance of ML software frameworks, ML hardware accelerators, and ML cloud platforms, Neptune - Platform to build ML models, manage infrastructure and dev environments, and team collaboration tools, ParallelM - Platform to deploy and optimize ML models at scale, Allegro - Computer Vision Deep Learning platform, Cnvrg.io - Full stack data science and ML platform, Determined AI - Platform designed to streamline deep learning workflows, SherlockML - Data science developer environment, BigML - Comprehensive ML workflow platform, Dataiku - End-to-end collaborative data science platform, Metis Machine - Skafos Machine Learning Platform to help develop and deploy ML pipelines at scale, Valohai - Deep learning management platform, Dataspine - Automation platform for ML workflows, PipelineAI - Flexible end-to-end ML pipeline platform, Deep Cognition - Deep learning management platform, Polyaxon - Open source platform for reproducible machine learning at scale, Clarifai - ML platform built for Computer Vision problems, Comet.ml - ML platform to track datasets, training, and more, DeepSense.ai - AI AI solution management platform, DataRobot - Automated ML platform for predictive modeling, Fritz - End-to-end platform designed to help mobile developers and ML engineers train and deploy models in mobile apps, Ever AI - Facial recognition and attribute identification SDK and API, Deepomatic - Image-based, computer vision AI solutions platform, Leverege - Complete IoT development and deployment platform, Nuance - Conversational AI for smart customer engagement, Cortical.io - Intelligent text processing solution. Data Labeling. One can only imagine what impact AI will have on our daily lives ten years from now. Andrew Ng, one of the most renowned AI researchers, says that "AI is the new electricity." Not so long ago, AI startups were the new shiny object that everyone was getting excited about. Moreover, it provides investors and collaborators with guidance in their search for cutting-edge AI solutions and expertise. Take a look at the graphics below that reveal which countries have the most exposure to AI through their businesses and startups. The survey revealed that AI applications enhance rather than replace human work; professional, managerial, and marketing jobs increase and there is a decrease in manual, clerical, and … The disproportionate share for larger companies in packaged goods and transportation may be related to the apparently large investments needed to enter the market — think, for example, of the investment necessary to compete in self-driving cars — or to the competitive power that the largest firms in those industries have already. ... Ucare.ai is focused on applying AI on the healthcare system to increase efficiencies and help patient coverage. Sensative part of the Swedish, and now European, AI startup landscape map, bringing AI onto IoT, Smart City, Smart Buildings, and Smart Homes About the competitive advantage CB insights ' annual ranking of the important that... Know on Slack to Accenture, artificial intelligence startups in the field of AI companies active in different.! 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