The 100 most noteworthy AI companies in the world (27 in China)

Preface
Every birth and development of a new technology often spawns a batch of new platforms and architectures; from the prosperity of computers and the Internet to the rise of the mobile Internet, we have gradually become accustomed to the constant occurrence of subversion and monopoly; The birth also gave birth to undercurrents of industrial change, such as Intel in 1971, Microsoft in 1980, Google in 1998, Apple in 2007, and Facebook in 2010.
Today, it is the rise of a new generation of artificial intelligence companies, deep learning has advanced machine learning to maturity, computing power and cloud computing are popularized, and the Internet has brought massive data and frequent human-computer interaction, which makes artificial intelligence more practical. , it has gradually changed our industry and penetrated into our life in many ways.
Tech giants have huge resource advantages such as technology, data, talent, product lines, and capital. Google TensorFlow helps developers turn ideas into products; Facebook uses machine learning to make 6 million predictions per second; Amazon’s Echo has become the most successful in the world Consumer-grade voice interactive products. And start-ups also bring surprises to the industry through their strong and flexible technological innovation capabilities and the application of vertical scenarios.
In the past two years or more, Heart of the Machine has interviewed, recorded and reported countless outstanding artificial intelligence technologies, companies and products in the global artificial intelligence field. However, with the development of the industry, we have gradually realized that more and more conceptual and gimmicky products and teams have begun to make the industry at an inflection point of change impetuous and difficult to judge.
Regarding the artificial intelligence industry, which companies are the most worthy of our attention, and which companies will dominate the future of artificial intelligence?
To this end, the Heart of the Machine and Comet Labs jointly released the list of influential global artificial intelligence companies. We selected five dimensions, including basic research, technology and products, industry potential, company operational capabilities, and capital strength, and selected the 100 most promising AI companies in the world, including those technology giants we are already familiar with, Vertical industry unicorns, but also budding startups.
Of course, this list is definitely not perfect, and there is a limit of 100 places, but we firmly believe that this list based on our sincerity, content experience and professional judgment without any commercial interests can be summarized and refined for everyone. Provide some valuable information to bring inspiration and inspiration to everyone.
1. Speech and Natural Language
Artificial intelligence brings sophisticated and usable human-computer interaction. Compared with other segments, speech and natural language processing have the highest funding and valuation in this list. More and more companies are focusing on natural language understanding, and Maluuba, a Canadian company, established a research institute at such an early stage to focus on challenging frontier problems.

The company's national technology research product application market value/valuation/financing
X.AI American natural language processing personalized intelligent assistant three rounds of financing $340 million
Api.ai American speech recognition, natural language processing, artificial intelligence natural language interaction system Four rounds of financing $8.6 million
Maluuba Canadian Natural Language Processing Natural Language Processing Fundamental Research, Natural Interaction Applications for Smart Devices $11 million in two rounds of financing
Synapsify US Natural Language Processing for accelerated content discovery, opinion extraction and suggestion. Two rounds of financing of US$1.45 million
KITT.AI China/US natural language processing chatbot platform ChatFlow iFLYTEK
China's speech technology and natural language processing input method, education, telecommunications and other industry solutions Market value of about 36.8 billion yuan Spirit China Intelligent Voice
Interactive and natural dialogue Voice interaction services for intelligent hardware such as in-vehicle, smart home and intelligent robots Series C financing of RMB 200 million
Yunzhisheng China's voice technology and natural language processing Intelligent voice solutions for the Internet of Things such as in-vehicle, medical and smart homes Series B $50 million in financing
Go out and ask China's speech technology and natural language processing smart watches and vehicle intelligent voice applications cumulative financing of 75 million US dollars
2. Computer vision
　　Computer vision is currently the most prominent form of machine perception. It is the subfield of artificial intelligence most affected by the rise of deep learning, and has helped computers surpass humans for the first time in some vision tasks. In this category, there are not only Clarifai, which relies on computer vision and deep learning technology to provide users with information acquisition and human-computer interaction products based on image understanding, but also imaginative combination of satellite images and image recognition. Orbital Insight for Predictive Analytics. In terms of specific applications, Ditto Labs from the United Kingdom and ViSenze from Singapore have carried out some landing practices in the fields of e-commerce and digital marketing through the application of computer vision technology.

The company's national technology research product application market value / valuation / financing
Clarifai US computer vision image and video recognition API $10 million in Series A financing
Affectiva US computer vision and deep learning real-time facial expression analysis and emotion recognition solutions $33.72 million in four rounds of financing
ViSenze Singapore computer vision e-commerce, mobile commerce, online advertising and other image recognition solutions $14 million in two rounds of financing
Ditto Labs UK computer vision digital media, advertising marketing, social image recognition and analysis Four rounds of financing $9.68 million
Orbital Insight US computer vision, Deep learning and data science analyze massive satellite imagery for economic trend analysis and public interest research $28.7 million in three rounds of financing
Planet Labs US computer vision and data science uses satellite imagery recognition for agriculture, urban planning and disaster response $18.3 million in financing
Descartes Labs U.S. computer vision and deep learning provides agricultural data analysis and prediction solutions through DLFP platform $8.28 million in three rounds of financing
SenseTime China computer vision and deep learning face recognition, dangerous goods recognition, behavior detection, vehicle detection, etc. The security monitoring system of the company raised tens of millions of US dollars in Series B
financing Megvii Technology China Computer Vision and Deep Learning Face++ Face Recognition Cloud Service Platform, Image++ Image Recognition Platform, VisionHacker Mobile Game Studio Valuation of about 1 billion US dollars Yitu
Technology China Computer Vision and deep learning, image understanding-based information acquisition and human-computer interaction services, $10 million in Series B
financing , and $1 million in Series A financing for cloud services such as computer vision and deep learning in China, such as image recognition, intelligent auditing, and image appreciation.
3. Chip and Hardware The chip and hardware-related companies in
this list mainly focus on artificial intelligence chips and other hardware research. Among them, ALCES from the United States realizes high-definition and ultra-dynamic 3D image perception on the tiny size of mobile phone cameras through artificial intelligence vision algorithms, which greatly improves the perception level of intelligent machines to the environment. Wave Computing, which is dedicated to deep learning chip architecture, has launched its own DPU.

The company's national technology research product application market value/valuation/financing
Wave Computing American deep learning chip architecture DPU (Dataflow Processing Unit) Two rounds of financing $24.5 million
Deep Vision American artificial intelligence vision algorithm combines artificial intelligence algorithms and low-power chip technology In combination, a low-power artificial intelligence chip with advanced technical indicators has been developed to improve the visual recognition ability of smart devices.
ALCES American artificial intelligence vision algorithm realizes high-definition and ultra-dynamic 3D image perception on the tiny size of mobile phone camera, which greatly improves the perception level of intelligent machines to the environment. Raised tens of millions of dollars in financing
Ceva US artificial intelligence chip technology Second-generation neural network software framework for machine learning CDNN2 $4.2 million in Series B
TeraDeep US Deep learning algorithms based on traditional ARM and other mobile processor platforms can be embedded in the deep learning module of mobile devices
Kneron China/US neural network processor NPU and solutions Kneron can provide terminal NPU, and build a complete set of NPU solutions for software, hardware, cloud services and terminal collaboration.
Cambrian China Deep Learning China's First Neural Network Processor Ten Thousand Angel
Investment DeePhi Tech China Neural Network Compression, Compilation, Neural Network Processor DPU Design, FPGA Development, System Integration Complete Development Capability Deep Learning DPU Platform
4. Intelligent Machine
The companies in the robotics field in this list cover seven old and new industrial countries, including China, the United States, Japan, Switzerland, the United Kingdom, Denmark and Germany. In this category, in addition to large industrial robots, a number of companies with mature products and application scenarios have also been born in the fields of medical care, drones and home service robots, such as Cyberdyne, 3D Robotics and iRobot. In static environments, robot navigation is largely solved. Current efforts are looking at how to train robots to interact with the world around them in generic, predictive ways. The impact of deep learning on robotics is also just beginning.

Company National Technology Research Product Application Market Value / Valuation / Financing
ABB Robotics Swiss Robotics and Automation Technology Industrial Robots ,
Intelligent Equipment Smart Robot Raises $13.5 Million in Seven Rounds of Financing


Universal Robots Denmark Robotics and Automation Technology Industrial Robots
3D Robotics US Computer Vision, Robotics UAV, Software Services US$1.2 in 5 rounds
Cyberdyne Japanese Wearables Medical Assistant Robot US$12 million in Series B
iRobot US Computer Vision, Robotics Electronics Products, three rounds of financing for household robots $30 million
ReWalk Robotics German computer vision, robotics mobility robots, handicap-specific intelligent equipment $18 million in two rounds of financing
Dyson British intelligent machines, automatic visual positioning and indoor map construction cleaning
robots SIASUN Robotics China Robot and automation technology industrial robots and industry solutions with a market value of about 40 billion yuan
Eft Robotics China Robotics Industrial robots, intelligent equipment and industry solutions DJI
China computer vision, drone control, environment and obstacle perception, visual follow, automatic search Road UAV aerial photography and image transmission $75 million in Series B financing
5. Medical The medical field has always been regarded as a promising application area
for artificial intelligence. There are many artificial intelligence startups relying on deep learning and imaging technology, such as Enlitic, a deep learning-based cancer screening company from the United States. In addition, CloudMedX, an artificial intelligence medical platform from the United States, and Deep Genomics, which combine the two major disciplines of artificial intelligence and genes. AI-based applications will be able to improve the health and quality of life for millions of people in the coming years.

Company National Technology Research Product Application Market Cap/Valuation/Funding
CureMetrix US Image Analysis Image Analysis-Based Breast and Lung Cancer Detection Seed Round
Enlitic US deep learning, big data, image detection cancer detection system three rounds of financing $15 million
VoxelCloud US deep learning medical image analysis cloud service
Insilico Medicine US deep learning and big data cancer diagnosis and treatment seed round $
800,000 Oncora Medical US big data and machine Learning technology provides radiation oncologists with clinical decision support through data analysis for personalized medicine. Two rounds of financing $1.32 million
Atomwise US deep learning drug discovery seed round $6.3 million
TwoXAR US deep learning evaluates large public and private datasets through the drug discovery platform DUMA® to rapidly identify drugs and match drugs and diseases according to Sort by probability. Seed round of $3.4 million
Berg Health US deep learning Interrogative Biology® platform combines patient biology and artificial intelligence analysis for drug discovery, development and diagnostics.
CloudMedX US Machine Learning, Natural Language Processing A medical artificial intelligence platform with three service products, MedxExchange, MedxInsights and MedxCare, providing data, medical insights and health management services. $6.6 million in financing
Deep Genomics Canada deep learning, genetic biology, precision medicine seed round $3.7
million iCarbonX Smart China Big Data, artificial intelligence provides personal health index analysis and prediction through data mining and machine analysis. Valuation around $1 billion
6. Finance
Finance is called one of the most promising applications of artificial intelligence due to high data quality and clear requirements. The data-analytics firm Kensho is invading Wall Street, replacing some of the analysts' jobs. There are also ZestFinance and Aire that use machine learning for credit services. At the same time, the traditional financial giant Goldman Sachs has also turned into a technology company, launching an "AppBank" based on machine learning, and the number of engineers it has is close to that of a big technology company.

Company National Technology Research Product Application Market Value/Valuation/Funding
Context Relevant U.S. Data Mining, Predictive Analysis Local Analysis Software and Cloud Services $44.3 million in five rounds of financing
Kensho Technologies U.S. Machine Learning, Natural Language Processing, Data Mining Financial Analysis Assisted Decision-Making System Two rounds of $57.8 million
ZestFinance U.S. data mining, machine learning credit services $112 million in four rounds
Aire U.K. credit rating of financial products $7 million in four rounds
Goldman Sachs U.S. data mining, machine learning AppBank, financial business automation The market value of about 678 USD 100 million
Ant Financial’s applications in China’s artificial intelligence, data mining intelligent assistants, credit rating and risk management are estimated to be about USD 60 billion7
. Intelligent driving
The average American car is equipped with 70 sensors, and cars will gradually replace humans as more With good drivers, the traffic will be taken over by self-driving cars, enabling real-time pickup and delivery of people and goods. This will completely change the operation mechanism of the city and the life of the residents. The autonomous driving companies in this list come from three countries: the United States, Israel and Singapore. In addition to American companies represented by Tesla and Drive.ai, Israel's Mobileye, Innoviz Technologies and Singapore's nuTonomy also have noteworthy applications in the visual algorithms and safety systems of autonomous driving technology.

Company National Technology Research Product Application Market Cap/Valuation/Funding
Tesla US $2 Billion in Self-Driving Electric Vehicles
Drive.ai US $12 Million Financing for Deep Learning Autonomous Vehicles
Mobileye Israel Computer Vision, Computer Vision Algorithms for the Intelligent Driving Vehicle Industry Research on chip technology and driver assistance systems US$515 million in financing
nuTonomy Singapore/US 3D autonomous driving technology Algorithms and software for urban autonomous driving
Innoviz Technologies Israel's core autonomous driving technologies such as intelligent 3D sensing, sensor fusion, and accurate mapping and positioning are affordable Inexpensive High-Definition Solid-State LiDAR $9M Series A
Peloton U.S. Radar and Dedicated Short-Range Communication Safety System Autonomous Trucks $18.4M Four Rounds
SmartDrive U.S. Computer Vision, Data Mining Smart Solutions for Traffic Safety and Performance Sixth Rounds $1.8 US$100 million
Zoox US fully self-driving brand-new self-driving
car Tucson Internet China computer vision and deep learning autonomous driving, image recognition SaaS service A round of financing 50 million yuan
Minieye China computer vision, intelligent driving assisted driving system

8. Vertical application
In vertical In the field of application, we can see the artificial intelligence application of Uber and Airbnb in traffic route optimization and pricing, as well as classic cases of Salesforce, Slack, and Sentient Technologies using machine learning for enterprise services. In addition, the representative companies Planet Labs and ROSS Intelligence in the fields of agriculture and law are also worthy of attention.

Company National Technology Research Product Application Market Value/Valuation/Funding
Uber US Autonomous Driving, Machine Learning, Data Mining Autonomous Vehicle, Intelligent Transportation and Intelligent Mobility Application Valuation $66 billion
Airbnb US Machine Learning Open Source AeroSolve Machine Learning Framework, Intelligent Assistant , intelligent recommendation, pricing 9 rounds of financing $2 billion
Salesforce US cloud computing, deep learning, data processing CRM solutions market value of about $50.6 billion
Slack US machine learning enterprise communication applications, bots platform valuation of about $3.8 billion
Sentient Technologies US artificial intelligence 、Large-scale distributed computing to solve complex business problems Comprehensive intelligent system $140 million in three rounds of financing
Dataminr US data mining Social network-based data analysis service $180 million in five rounds of financing
ROSS Intelligence US cognitive computing, deep learning, natural language processing Forensic research intelligent assistance tools
Didi China’s autonomous driving, machine learning, data mining autonomous vehicles, intelligent transportation and smart travel applications are valued at about $34 billion
Toutiao China’s application valuation of deep learning, natural language processing, image recognition media products About 12 billion US dollars
Horizon Robot China Cloud-based deep neural network algorithm, image, speech, natural language understanding and motion control, technology integrated intelligent machine solutions A+ round of financing tens of millions of dollars

9. Machine learning
It's an exciting list of companies doing machine learning platforms and research challenging cutting-edge problems. DeepMind is still conducting independent research and operations after the acquisition. The mysterious Vicarious continues to study the "next-generation artificial intelligence algorithm", and the Japanese startup Preferred Networks uses deep learning to give the robotic arm the ability to learn.

The company's national technology research product application market value / valuation / financing
DeepMind British artificial intelligence basic research AlphaGo, medical health, Google internal product application. Acquired by Google for 400 million pounds
Vicarious American artificial intelligence basic research New computer vision system, robot vision five rounds of financing $72 million
Bonsai American deep learning Inkling scripting language and integrated development environment Mastermind New financing of $6 million
Preferred Networks Japanese deep learning Deep learning operating system Chainer, the application of machine learning in the Internet of Things, three rounds of financing of $17.3 million
Skymind American deep learning deep learning enterprise application package SKIL, open source framework Deeplearning4j $3 million seed round financing
H2O.ai American machine learning open source machine learning platform and Commercialization supports $33.6 million in four rounds of financing
Uptake US data mining and machine learning provides data predictive analysis SaaS services for large industries such as railways and construction Valuation of $1.1 billion
Indico US machine learning provides data scientists with image and text recognition and analysis Tools $3.18 million in three rounds of financing
Fourth Paradigm China's machine learning financial applications and "prophet" platform millions of dollars in series A financing

10. Large companies
The competition among tech giants is fierce, from basic research to open source platforms, from computing resources to product upgrades. This is about the next-generation platform, developer ecosystem and users. But at the same time, they also have greater responsibility. Not long ago, Amazon, Google, Facebook, IBM and Microsoft came together as never before to form a non-profit organization dedicated to advancing the public understanding of artificial intelligence technology, Implement actionable solutions to current challenges and opportunities in the field.

The company's national technology research product application market value/valuation/
financing Google's comprehensive research on artificial intelligence in the United States TensorFlow and other open source frameworks, Google Photos, Now, Inbox, search and other products and services, hardware market value of $543.7 billion
Facebook's comprehensive research on artificial intelligence in the United States Multiple open source frameworks and hardware platforms, Messenger, social networks, targeted advertising and other products and services Market value of $368.2 billion
Amazon US artificial intelligence comprehensive research cloud service, Echo and other smart home, robotics, and e-commerce product applications Market value of $396.9 billion
Microsoft US artificial intelligence comprehensive research CNTK and other open source frameworks, Cortana, Xiaoice and other industries and services, hardware market value of 448.8 billion US dollars
IBM US artificial intelligence comprehensive research Watson, industry cognitive computing solutions, quantum computers and other market value of 151.8 billion US dollars
Apple US Comprehensive research on artificial intelligence A number of products and hardware, smart assistants, smart homes, medical care, etc. based on smartphones and other hardware, with a market value of $609.1 billion
Baidu China’s artificial intelligence comprehensive research open source framework PaddlePaddle, Baidu Brain, autonomous driving, and Internet applications Market value of $63.6 billion
Alibaba China AI comprehensive research cloud service, AI platform DT PAI, e-commerce product application market value of 263.5 billion US dollars
Tencent China artificial intelligence comprehensive research Internet application market value of 264.5 billion US dollars
Sogou China artificial intelligence comprehensive research search engine, knowledge graph, input method, voice interactive products, etc.
NVIDIA American artificial intelligence hardware GPU, deep learning supercomputer DGX-1, autonomous driving supercomputer Xavier Market value of 36.6 billion US dollars
Intel American artificial intelligence hardware CPU, The market value of Xeon Phi and Nervana is 178.2 billion US dollars, and the market
value of Qualcomm US artificial intelligence hardware mobile smart device chips is about 97 billion US dollars.