Leading Artificial Intelligence Companies

Leading Artificial Intelligence Companies
Leading Artificial Intelligence Companies Image link: https://en.wikipedia.org/wiki/Science
C O N T E N T S:


  • This list of leading artificial intelligence companies will change and grow as quickly as AI itself.(More…)
  • Seven Stars Cloud Group Inc (NASDAQ: SSC ) develops business-to-business infrastructure based on blockchain and artificial intelligence technology.(More…)


  • Chinese companies buy AI chips mainly from Nvidia ( NVDA ), based in Santa Clara, Calif. Intel ( INTC ), the dominant supplier of brainy chips for personal computers, is pushing fast into AI. (More…)



This list of leading artificial intelligence companies will change and grow as quickly as AI itself. [1] The leading companies in the AI sector: Please let us know of any significant artificial intelligence companies that you think we missed and leave a note in the Comments section below. [1]

Artificial intelligence has exploded in the past few years with dozens of startup companies and major AI initiatives by big name firms alike. [1] Artificial intelligence has been called a “winner take all” technology, meaning that companies and countries that gain an edge will build upon that lead over time. [2] Incumbent cybersecurity companies are deploying artificial intelligence in their products and services. [3] The following 25 companies are playing a role in shaping the future of artificial intelligence and its capabilities. [1] George Kurtz, CrowdStrike CEO, says artificial intelligence will help companies deal with “adversaries that are constantly changing techniques.” [3] With artificial intelligence, startup AI companies aim to spot and block malicious activity on computer networks better than existing technologies can. [3] Over the past two years, Salesforce has acquired three AI companies and recently announced Salesforce Einstein, their artificial intelligence service. [1] In cybersecurity, though, even AI companies worry that the bad guys will use artificial intelligence to launch more potent attacks. [3] AI Companies & Cybersecurity:The Race To Build Artificial Intelligence Defenses You are using an outdated browser. [3]

It three products: AICoRE, the AI agent, iRSP, an intelligent robot software platform, and Futurable, a future simulation AI game where every character is a fully autonomous AI. The focus of their work is to develop artificial intelligence infused with the human skill set of problem solving, learning and memory. [1] “When it comes to the future of work, artificial intelligence (AI) and automation are poised to impact nearly every facet of the workforce in some way,” says Dr. Andrew Chamberlain, Chief Economist at Glassdoor, another prominent employment directory website. [4] Based in California, AIBrain is an artificial intelligence company that builds AI solutions for smartphones and robotics applications. [1] “There’s a level of sophistication that’s needed for artificial intelligence — data science skills, algorithm-building skills — that’s going to limit the use of AI on the adversary side to nation states and very profitable cybercrime groups.” [3] Hackers also could use artificial intelligence tools to scrub social media for personal data. [3] “Looking five to 10 years out, the pace of technological innovation will only quicken as artificial intelligence, robotics, machine learning, distributed ledgers and big data will all shape our future,” Co-President and Co-Chief Operating Officer Daniel Pinto said in a letter to shareholders in April. [4] Apple has acquired four artificial intelligence startups within the past two years, demonstrating its big step into the artificial intelligence sphere. [1] Raising over $100 million last year, Banjo makes use of artificial intelligence to comb through social media and identify real-time events and situations that are important to its partners. [1] At a basic level, artificial intelligence is the use of computer algorithms to attempt to replicate the human ability to learn, reason and make decisions. [5] Computer software giants Salesforce.com ( CRM ) and Microsoft ( MSFT ) are top software picks to prosper from artificial intelligence — along with a much smaller company, Hortonworks ( HDP ) — according to one Wall Street brokerage. [5] Artificial intelligence should improve computer security tools by speeding up incident responses once malicious software is detected on computer networks. [3] More powerful cyberattacks are expected as hackers deploy artificial intelligence or machine learning software to hike the frequency and sophistication of attacks. [3] Surveys show that corporate America doesn’t view artificial intelligence as a silver bullet that will prevent hackers from stealing customer data or intellectual property. [3] Cybersecurity industry leaders including Palo Alto Networks ( PANW ), Fortinet ( FTNT ) and Cisco Systems ( CSCO ) hope to stay on top even as artificial intelligence opens the door to new competitors. [3] “The progress of building an indigenous semiconductor industry has been slow in China,” noted a Goldman Sachs report on artificial intelligence released in September. [2]

Artificial intelligence and machine learning are 2017 buzzwords?–?but where is it all happening? According to a study by Wuzhen Institute, there are 2,905 artificial intelligence companies in the United States, 709 in China, 366 in Britain, 233 in India, 228 in Canada, 173 in Israel, and 160 in Germany. [6] Forbes readers most often ask for recommendations regarding the best Artificial Intelligence (AI) companies to work for. [7] The list includes companies that are working specifically on artificial intelligence technologies. [8]

As the Chinese government aims to become a leading nation in the development of artificial intelligence technologies, Chinese startups have reaped the benefits of the current innovation-focused state of the industry in the country. [8] In the meantime, Crunchbase News decided to demystify the artificial intelligence space by taking a look at the leading players in the industry. [8]

We considered companies in the “artificial intelligence” and adjacent categories. [8] Nvidia’s graphics processing hardware has proven an ideal way to complete the intensive number-crunching required by most AI applications, and Microsoft has arguably acquired a number of artificial intelligence companies, garnering some new and impressive technologies it has yet to turn into a practical product. [9] SmartCat is a company, which due to its experience in smart solutions, has earned its place in the list of top artificial intelligence companies. [10]

This year, Prospera was chosen for SVG Partners? THRIVE Top 50 annual ranking of the 50 leading AgTech companies and CB Insights? 100 most promising private artificial intelligence companies, and was named Best AI Product in Agriculture by CognitionX and Disrupt 100. [11]

Over the past five years this area of just 700 square kilometers has attracted 41% of all global investment in AI. The 31st AAAI Conference on Artificial Intelligence was held in San Francisco last February. [6] These AI stocks are poised to profit as artificial intelligence technology is increasingly being used to “smarten” up just about everything from consumer electronic gadgets and cars to healthcare diagnostic tools and factory machinery. [12] There comes a time when certain buzzwords drive Wall Street, be it the advent of e-commerce, high disposable income driving discretionary stocks, or the new kid on the block, artificial intelligence (AI). [13] Co-Founder and CTO of Skyline AI, an artificial intelligence company in the commercial real estate industry, believes that we?ve reached a renaissance age in AI. [8] Argo AI was founded to tackle one of the most challenging applications in computer science, robotics and artificial intelligence with self-driving vehicles. [14] Argo is developing and deploying the latest advancements in artificial intelligence, machine learning, and computer vision to help build safe and efficient self-driving vehicles that enable these transformations and more. [14] Since they were featured in our list of the Top 10 Artificial Intelligence Startups in China last year, they?ve raised an additional $460 million in investments from a Chinese state startup fund, Ant Financial (Alibaba?s subsidiary) and Foxconn. [15] Founded in 2015, UK startup ACORN OakNorth has raised $448.5 million and landed at the top in our article on Top-10 British Artificial Intelligence Startups in the UK. [15] Facebook and Micron are among the favorite ways to play the boom in artificial intelligence, according to top technology analysts. [16] Toutiao is a content platform that enables people to discover a world of content powered by artificial intelligence technology. [14] He says demand for DRAM chips and NAND flash chips comes from “new and powerful technology cycles” such as artificial intelligence and augmented reality. [16] We produce professional, authoritative, and thought-provoking content relating to artificial intelligence, machine intelligence, emerging technologies and industrial insights. [6] Founded in 2012, Chinese startup Toutiao has raised a whopping $3.1 billion in funding from the likes of Sequoia Capital, making it the biggest artificial intelligence startup in the world right now, and also the most highly valued at $20 billion. [15] Real growth is fueled by cold hard cash, so we?ve put together a list of the 10 biggest artificial intelligence startups in the world by funding. [15] Here’s an overview of many of the top players in the artificial intelligence space and their stocks. [12] Editorial Note: Crunchbase News will continue to update this article to reflect future developments in artificial intelligence. [8]

This roundup of vendor offerings provides a quick snapshot of the types of products companies need to create an effective artificial intelligence infrastructure and gain the most value from their AI initiatives. [17] Hiring rare specialists, educating own employees, acquiring AI startups and creating ML-as-a-service systems are the main methods that allow companies to get artificial intelligence expertise. [18] Companies looking to build artificial intelligence infrastructures have many options, with tech vendors offering a range of products and services as wide as it is varied. [17] Here?s a list of the top five sales and marketing companies that use Artificial Intelligence to power up businesses. [19] Today, CB Insights unveiled the second annual AI 100 — a list of 100 of the most promising private companies applying artificial intelligence algorithms across 25+ industries, from healthcare to cybersecurity — at the A-Ha! conference in San Francisco. [20] It?s not only IT-specialized companies that invest in Artificial Intelligence technologies. [18] Everyone has been talking about Artificial Intelligence (AI) and tech companies world-wide have been working on ways to not only understand what it is capable of, but how it can be used to benefit businesses and consumers. [21]

If the U.S. is leading the way in artificial intelligence, China is playing catch-up and quickly emerging as an AI hotbed thanks to its talent, government support and venture capital funding. [22] Through Azure, Microsoft provides an AI platform, including tools, services and artificial intelligence infrastructure, for developers, whether the developers are modernizing existing applications or looking for advanced capabilities to develop new AI services. [17] The artificial intelligence infrastructure market is young and varied, with enterprise AI vendors offering everything from cloud services to powerful, and expensive, hardware. [17] Their Artificial Intelligence system, Signal AI, uses machine learning algorithms to analyze live phone conversations to understand caller intent and outcomes. [19] Thanks to popular science fiction, almost any person on Earth has some knowledge of AI. For business purposes and utilizing advanced technologies there are deeper reasons to look into Artificial Intelligence. [10] Artificial intelligence development, software engineering, full project life-cycle, business intelligence is what they offer and stand for. [10] Computationally pre-optimized new drug candidates have already been designed for targets validated through Insilico’s artificial intelligence system A2A Pharmaceuticals will assume the management of the new company, provide the development expertise for the newly discovered compounds and should be contacted for the licensing of the compounds. [23] The Informatica Intelligent Data Platform, which runs on Informatica’s Claire engine, provides a data management foundation for enterprise artificial intelligence infrastructures. [17] Leveraging machine learning and artificial intelligence to glean information from large data sets is the greatest technology opportunity of a generation. [24] Amplero is an Artificial Intelligence Marketing (AIM) Platform that leverages machine learning and multi-armed bandit experimentation to enable marketers to achieve better results. [19] AWS supports a number of artificial intelligence services for its cloud infrastructure platform. [17] Our platform uses unique ID?s and artificial intelligence to analyze user personas, identify and suppress poor quality responses at the question-level as well as predict purchase intent, something that made us stand out among competitors. [21] A2A uses proprietary computational tools including artificial intelligence to design highly selective therapeutics for difficult to drug targets like protein-protein interactions. [23] In the meantime, Baidu has created some more practical artificial intelligence tools like a smart speaker dubbed Little Fish VS1. [9] When most investors think of artificial intelligence stocks, names like NVIDIA Corporation (NASDAQ: NVDA ) and Microsoft Corporation (NASDAQ: MSFT ) come to mind — and well they should. [9] Baidu Inc (ADR) (NASDAQ: BIDU )? The same Baidu that’s usually described as the “Google of China” is also an artificial intelligence stock? Yep. [9] Last, but certainly not least, put Yext Inc (NYSE: YEXT ) on your list of artificial intelligence stocks worth a look. [9] Artificial Intelligence is an industry which is growing permanently, and there has been significant investment in the space in the last years. [19] Chris Nicholson, a former Bloomberg news editor, co-founded artificial intelligence firm Skymind in San Francisco in 2014 and started expanding it outside the U.S. last year. [22] “As the only provider of AI-driven lead engagement software for marketing and sales organizations, we?re productizing and commercializing Artificial Intelligence in a way that others can only talk about. [19] A full-cycle data science and artificial intelligence company, DataRoot has successfully launched over 50 projects for clients from North America, UK, Netherlands, Israel. [10]

There are many companies offering Artificial Intelligence Development services on a huge scale, however, you must always partner a company that is learning and evolving in AI. [25] The 2018 Top 100 List have just been published for Artificial Intelligence – and large technology conglomerate and emerging AI technology companies have been ranked alike. [26] SHANGHAI, June 30, 2018 /PRNewswire/ — The artificial intelligence industry in China has become one of the hottest and fastest growing sectors, with large public companies and startups alike competing for the burgeoning market, as well as venture capital and private equity. [26] DigitalGenius:- DigitalGenius brings practical applications of deep learning & artificial intelligence to customer service operations of large companies. [25] The only question is who will provide the artificial intelligence engines of the future, and which companies and investors will profit. [27]

TechEmergence conducts direct interviews and consensus analysis with leading experts in machine learning and artificial intelligence. [28] APEX Technologies builds data and artificial intelligence solutions for mid to large size corporation to help with marketing, CRM, customer experience, and data-driven insight – simply put, using AI to increase revenue and the bottom line. [26] Softweb Solutions is a Artificial Intelligence services provider based in Chicago, USA with a team of experts who can understand your business requirement and offer you best-in-class AI product. [25] Artificial intelligence (AI) is an essential component to the advancement of robotics technology. [29] Artificial intelligence (AI) gives machines the ability to “think” and accomplish tasks. [11] AI in healthcare accounted for 15% of all equity deals to artificial intelligence startups in 2015. [28] We believe that robotics and artificial intelligence (AI) is a transformational technological development with the potential to disrupt a range of industries over the coming decades. [29] The most practical applications of artificial intelligence are side-by-side with Big Data and cloud-computing applications that many investors are already familiar with. [27] Case in point — Salesforce.com CRM, +1.81% has a valuable artificial intelligence application called Einstein that it provides to clients. [27] To do that, the company uses artificial intelligence to automatically record, transcribe and analyze all “sales calls, demos, and meetings so sales teams can scale the effectiveness of their sales conversations.” [30] Integrate.AI uses artificial intelligence to make customer interactions more valuable. [31] AIdoc uses artificial intelligence to help radiologists read images more precisely. [11]

The hottest startups are artificial intelligence companies and these organizations are waking waves across most leading sectors, from finance to healthcare. [32] GoodFirms conducted in-depth analysis of Quality, Reliability and Ability to pick the leading Artificial Intelligence Companies. [33]

Artificial intelligence has become the backbone of many of the world’s most innovative companies, promising to unlock decades worth of data and turn it into valuable business intelligence while taking over more responsibilities from human workers. [34] Artificial intelligence and blockchain companies dominated The Wall Street Journal’s rankings of 25 emerging technology leaders. [34]

As the leading provider of Application Performance Management solutions for containerized microservice applications, Instana applies automation and artificial intelligence to deliver the visibility needed to effectively manage the performance of today’s dynamic applications across the DevOps lifecycle. [35] Strike Social harnesses the power of artificial intelligence to help the world’s leading agencies and brands — including Beats, Xbox, Honda, Mattel, Lionsgate and Trunk Club — succeed in YouTube and social media advertising. [36]

Perhaps the hottest buzz word in the stock market right now is “AI”, or artificial intelligence. [37] Just like with every other hyped-up technology trend, the class of artificial intelligence stocks will have a few winners, and a lot of losers. [37] Many vendors incorporate advanced technologies like blockchain, artificial intelligence and machine learning into their products, but oftentimes development and reality fail to live up to expectations. [34]

Healthcare artificial intelligence companies are offering intriguing products, but providers must be wary of too much hype around machine learning tools. [38] Box Inc. ( BOX ) is a business that helps companies manage their data and content in the cloud; it allows customer data to be converted to artificial intelligence (AI) and machine learning solutions available by other providers. [39] Today, companies turn to Cloudera to build best-in-class artificial intelligence solutions that optimize all the available data out there, not just their own. [39] In terms of how big the artificial intelligence market is becoming, 55 of the 100 companies have raised additional funding nearing $2 billion. [32]

Seven Stars Cloud Group Inc (NASDAQ: SSC ) develops business-to-business infrastructure based on blockchain and artificial intelligence technology. [40] Innodata Inc (NASDAQ: INOD ) helps publishers leverage the power of “leading-edge machine learning, natural language processing, and artificial intelligence algorithms that we have adapted for next-generation publishing processes to unlock your content and deliver it to new audiences, in new formats and in new ways.” [40] We use artificial intelligence to identify individuals, regardless of background, who have the innate potential and cognitive ability to be great software developers. [36] Our Cerebri DecisionsTM platform leverages the state-of-the-art artificial intelligence infrastructure from industry leaders IBM. [35] One of the most promising artificial intelligence stocks over the next several years is Yext (NYSE: YEXT ). [37] Here?s a list of four of my favorite artificial intelligence stocks which all investors should have on their radar. [37]

Are you considering integrating artificial intelligence in your business? GoodFirms list of top AI companies can help you find a reliable firm for your machine-learning or data-learning project. [33] Several leading growth stock experts — and contributors to MoneyShow.com — look at a variety of stocks that are poised to benefit from developing trends in artificial intelligence. [39] AIBrain is an artificial intelligence company with the goal of building fully autonomous AI by unifying the three essential aspects of intelligence: Problem Solving, Learning and Memory. [33] Artificial intelligence (AI) technology is rapidly moving from the realm of science fiction to everyday applications. [39] Element AI is an artificial intelligence solutions provider that gives organizations unparalleled access to cutting-edge technology. [33] In its new report “AI 100: The Artificial Intelligence Startups Redefining Industries,” CBInsights looks at the firms that are luring the largest share of investment dollars for their AI efforts. [41] Intellectsoft is a global full-cycle custom software development company that helps businesses to overcome the technological challenges of digital transformation through innovation and the use of emerging technologies, like blockchain, augmented reality, artificial intelligence, Internet of Things, and cloud computing. [33] By not building an artificial intelligence system of its own, Box’s strategy has positioned the company as an “AI-Neutral” Switzerland of cloud content management that leverages the massive amount of work being done across providers like Google Cloud Platform, Microsoft Azure, IBM Watson, Amazon AWS, and others. [39]

“In the same way Seattle was at the vanguard of the computer industry with Microsoft, and that Seattle has been big in the cloud, we are the vanguard of this artificial intelligence revolution,” Etzioni says. [42] Completely independent artificial intelligence may be somewhere off in the future, but machine learning tools are becoming a core component of the big data analytics landscape right now. [38] “Artificial intelligence” may have quickly become the preferred term for health IT vendors, but it is worth mentioning that most data scientists will roll their eyes at the notion that true artificial intelligence is now ready and available to the everyday tech consumer. [38] Today, Nvidia?s G.P.U.s can efficiently execute all the tiny calculations that go into training neural networks, but shuttling data between these chips is still inefficient, said Scott Gray, who was an engineer at Nervana before joining OpenAI, an artificial intelligence lab whose founder include Tesla?s chief executive, Elon Musk. [43] “Isaac” is a recently launched platform to power the next generation of autonomous machines, bringing artificial intelligence to robots for manufacturing, logistics, agriculture, construction and other industries. [39] Then came the tech industry?s latest big thing — artificial intelligence. [43] Healthcare-focused artificial intelligence tools are expected to bring in more than $20 billion by the middle of the 2020s, exhibiting a compound annual growth rate (CAGR) pegged at anywhere from 40 to nearly 50 percent over the next five to seven years. [38] Where does Cloudera fit in? It helps enterprises enter this new world of machine learning and artificial intelligence. [39] The list, which was whittled down from over two thousand, focuses on the teams and technologies that have used artificial intelligence to address major sectoral challenges. [32] Diffblue is a University of Oxford spin-out that is applying artificial intelligence to software development. [44]


Chinese companies buy AI chips mainly from Nvidia ( NVDA ), based in Santa Clara, Calif. Intel ( INTC ), the dominant supplier of brainy chips for personal computers, is pushing fast into AI. [2] U.S. Fortune 500 companies are pushing AI analytical tools into finance, health care, energy, agriculture, cybersecurity and elsewhere. [2] Baidu and other companies are paying top salaries to snatch AI scientists. [2] “I think for a short time it might be OK for security companies not to have AI capabilities,” said Lee Klarich, Palo Alto Networks’ chief product officer, in an interview. [3]

It has formed an alliance with seven technology companies from around the world that specialize in gathering different types of health-care data, and will use algorithms to analyze genomic, physiological and behavioral data and provide customized health and medical advice. [1] Hortonworks is a developer of Hadoop open-source software, which companies can use for “Big Data” analytics. [5] IBD’S TAKE: Shares in Hortonworks, a low-volume stock, have doubled in 2016 amid gains by many enterprise software companies. [5]

China still buys most high-end chips from foreign suppliers, even though it has twisted the arms of U.S. and European companies since the 1990s to share technology through joint ventures. [2] “Most AI-focused chips are developed by U.S. companies, and it will be a long slog for China to catch up,” said David Kanter, head of chip industry consultant Real World Insights. [2]

The startup is entering a space currently occupied by companies like AeroFarms, which takes less of an AI-focused approach but already has several large vertical farms throughout the northeastern U.S. Bowery emerged from stealth and announced a $20 million funding round in 2017. [45] The startup was developed after the Boston Marathon bombing in 2013 as a way for companies to analyze social media to make better decisions, move faster, and change the way they understand and interact with people all over the world. [1]

Many U.S. companies face a shortage of computer security personnel to thwart and detect threats. [3]

Giant tech companies like Google are adding AI defenses to protect their cloud computing data centers. [3] Google reportedly has been trying to interest China’s tech companies in its TensorFlow AI software tools, which make it easier to develop apps. [2] Huawei, one of China’s top tech companies, also has AI chip projects underway. [2] This is the focus of many large tech companies as well as AI startups, and they?re all looking for the right talent to help them propel their efforts forward. [4]

“Artificial intelligence is the future, not only for Russia, but for all humankind,” said Putin. [2] CloudMinds is developing what it calls an end-to-end cloud intelligence (CI) system called Human Augmented Robotics Intelligence (HARI) platform for robots. [1] Consider yourself lucky if you happen to be studying machine learning, data science, business intelligence, or any other field that relates to AI. While automation slowly eats away at human jobs, the demand for AI talent continues to grow at an accelerating pace. [4]

The company’s products include its H2O platform, the Deep Water interface that unites leading open source deep learning tools with H2O, the Sparkling Water framework that combines H2O and Spark, the Steam AI Engine for developers, and Driverless AI, which promises “AI to do AI.” [1] An example is JPMorgan Chase, the largest bank in the United States, and among the leading financial institutions employing technology and AI algorithms in different fields. [4] From making healthcare services available to more people to diagnosing and treating diseases faster and with more precision, health institutions are leading various projects to employ AI in medicine and healthcare. [4]

Or for stock ideas, check out the IBD 50 list of top growth stocks currently leading the market. [2] Used by more than 100,000 data scientists at more than 12,600 organizations worldwide, H2O claims to be “the world’s leading open source deep learning platform.” [1]

Analysts expect synergy between the new AI companies and companies specializing in “Big Data” analytics. [3] While Nvidia’s GPU chips have grabbed an early lead, startup AI companies are focused on developing chips designed from scratch to crunch artificial-intelligence software. [2] The startup AI companies aim to thwart ransomware — malware that infects a computer network and encrypts files. [3] Right now, the U.S. is ahead in startup AI companies and commercial deployment. [2] With AI tools, the new AI companies are taking customers away from cybersecurity industry incumbents, analysts say. [3]

In recent years, NVIDIA has transformed itself from being largely a maker of GPUs for computer gaming and professional visualization applications to a company that’s also at the forefront of AI. Its GPU-based approach to deep learning is being rapidly adopted by enterprise companies — including all the major internet companies and cloud-service providers — for use in their data centers, and by automakers and others for use in their driverless vehicle initiatives. [12] All these companies are diving headfirst into AI, particularly a type of machine learning called deep learning, which essentially trains a machine to make inferences from data like we humans do. [12]

Ranked fifth in China Money Network?s China AI Top 10 Ranking in 2017, SenseTime currently provides its face recognition technology to over 300 companies including China Mobile Communication Co, China UnionPay, Huawei Technologies Co. Ltd., Xiaomi Inc. and JD.com Inc. [14] The world?s top two AI hubs share a symbiotic relationship: based on a LinkedIn survey, about half of China?s biggest AI employers are American companies. [6] You can invest in companies that are primarily making AI chips and other components for use by customers in “smartening” up machines of all types, with NVIDIA ( NASDAQ:NVDA ) falling into this category. [12] Several companies have or are working on competing approaches to AI, while chip giant Intel plans to soon enter NVIDIA’s turf, discrete GPUs. [12] It has become a virtual AI talent pipeline for the FLAG companies (Facebook, LinkedIn, Amazon/Apple, Google), where the average machine learning scientist earns a whopping US$293,000. [6] Companies in the chart range from the facial recognition company mentioned above to biotech-focused AI company iCarbonX, audio processing company SoundHound, and enterprise AI company WorkFusion. [8] “The result is that many more companies are using AI today compared to just five years ago.” [8] “AI will be a true differentiator for companies in the future. [8]

The companies that have mastered it will take off, those who haven?t will dwindle (just like companies choosing to embrace software and the internet early on),” Scott Stephenson, founder and CEO of Deepgram, an automatic speech recognition company, told Crunchbase News in an email. [8] In terms of technologies, 30% of the companies are working on computer vision and 30% of the companies are working on fintech. 20% are working on autonomous vehicle development. [15] It also provides text, vehicle, and image recognition to mobile Internet companies, financial services, and security companies. [14]

Wall Street’s top analysts are trying to determine which big tech companies are the best bets for AI success. [16]

SoundHound Inc. is the leading innovator in voice-enabled AI and conversational intelligence technologies. [14] What exactly does AI encompass? In its simplest definition, AI is intelligence demonstrated by machines and uses processes such as machine learning to perform certain tasks that would otherwise require human intelligence. [13]

Tenured professors are being offered 3X their salaries to leave academia and join leading AI companies including Google. [7] CEOs of AI companies most skilled keeping innovation moving at quick, high-intensity pace that keeps top talent challenged while keeping the core business growing are getting the highest approval ratings. [7]

Crunchbase is the leading destination for millions of users to discover industry trends, investments, and news about global companies-from startups to the Fortune 1000. [8] The following table provides an analysis of the leading AI jobs open on Glassdoor today. [7]

The best AI brains are concentrated in several leading companies and this emerges an even bigger shortage of scientists. [18] Leading technology companies have the capabilities, cash and scale to leverage this talent and technical expertise into profitable products down the road. [24]

There are very few companies in the B2B space that have actually mastered AI technology, and that have the data behind it to really harness the power of predictive analytics, and we’re honored to be among them,” said CEO of InsideSales.com, Dave Elkington. [19] The net result of this situation is that, today, AI talent and technology are largely denied from companies outside of tech. [24] Niche applications in pharma: AI startups have started playing a role in the clinical trial and drug formulation process, and big pharma companies are taking note. [20] Companies desperately need to harness AI technologies to come to the top place among competitors and the sooner the better. [18] As everyone understands, AI is our future that will substitute old approaches and change the perception of many of today?s business processes, and huge companies are already engaged themselves by creating methods to facilitate AI growth. [18] The main purpose of our article is not reviewing pros and cons, rather offering AI development companies which can assist your business strategy for consideration. [10] Below we bestow best AI development companies from the USA, UK, Scotland, Poland, Israel, Serbia, Ukraine and India. [10] The companies agreed to join forces to create a new company called “Consortium.AI”, which will apply the latest advances in AI to discovery of novel small molecules for the Duchenne Muscular Dystrophy (DMD) and other rare orphan diseases. [23]

Specifically, Yext has developed ways to turn the mountains of data most companies are now collecting into actionable intelligence. [9] “Chinese companies like Tencent, Baidu and JD have lots of data on hundreds of millions of users, so engineers working for those companies are increasingly experienced with data intelligence,” he said. [22]

The Skymind Intelligence Layer (SKIL) is enterprise AI software that helps data scientists and data engineers build, deploy and monitor AI applications within production environments. [17] With such approach, no wonder, that the company is focusing all knowledge and experience in development of an AI and Human-in-the-loop platform, which helps to operate and deliver cloud robotic services and Human Augmented Robot Intelligence (HARI) solutions. [10] “Conversation Intelligence, powered by AI is the greatest transformation in sales since CRM, and Gong is leading the way” said Amit Bendov, Gong.io CEO and Co-Founder. [19] With 20 years of experience in content management, business intelligence and AI technologies (also partnering with IBM), Dayhuff Group isn?t boasting when they call themselves one of the leading AI development agencies. [10]

Over the last five years, 90 percent of AI startups in Silicon Valley have been acquired by leading tech companies. [24] Aggregate revenue of the five leading U.S. tech companies (Apple, Alphabet, Microsoft, Amazon, Facebook) represent less than 5 percent of total U.S. GDP. Yet tech giants are buying up companies and directing them to focus on R&D, rather than building AI applications for specific, non-tech industry problems that can have an impact today. [24]

Element AI, co-founded by Yoshua Bengio, is one of the pioneering companies in the field of deep learning. [20] It enables organizations to build their own models through a bring-your-own-model capability, to retrain prebuilt models or to run pretrained machine learning algorithms that cover a variety of standard business needs. Companies can use the SAP Leonardo Machine Learning Foundation with SAP products or in other areas of the business. [17] Companies use “what?s yours is mine” approach when acquiring the whole startup that possesses valuable resources like employees and knowledge base. [18] The companies were selected from a pool of 2,000+ startups based on several criteria, including investor profile, tech innovation, team strength, patent activity, mosaic score, funding history, valuation, and business model. [20] There is a huge opportunity for AI-based products and companies targeting applications in industries outside the tech sector. [24] The platform acts as a central nervous system that enables companies to build scalable, real-time applications for activities such as fraud detection, customer experience and predictive maintenance. [17] Focusing on upgrading CRM and customer care, company has delivered more than 600 projects for over 200 clients including Fortune 500 companies. [10] For many years, the main goal of companies is to collect as much user data as possible. [18] By using the best mass media BI practices, from data visualization to measuring metrics, companies like CondNast and Comcast. [17] Five of the 8 companies from China are unicorns, with 4 of them reaching $1B+ valuations just this year. [20] Cloud ML Engine manages the computing resources that a training job needs to run, so companies can focus more on their models than on hardware configurations or resource management, according to Google. [17] In addition to releasing enterprise-level systems, HubSpot unveiled a CMS tool for companies to build and customize websites, and. [17] The market map below categorizes the AI 100 companies based on their industry focus. [20] Eight of the AI 100 companies are developing AI solutions for the healthcare industry. [20]

Eight of the AI-100 companies are developing AI applications for the enterprise in a market largely dominated by big tech companies like Amazon. [20] We handpicked only those tech companies who, in our opinion, are able to cope with the most challenging AI projects and have positive customer feedback. [10]

Airbnb, a leading vacation real estate rental service, has already been actively implementing the power of AI into their predictive mechanisms to enhance customer experience with pricing and personalized suggestions. [18] This agency, that also positions itself as the AI company, makes everything to reach a leading spot. [10]

Talend Data Fabric provides more than 900 prebuilt connectors and components to leading databases, big data and NoSQL technologies, cloud platforms — AWS, Azure, Google, Snowflake — SaaS applications, messaging systems and more. [17]

In environments with sensory or other streaming data, iWay’s data management technology natively ingests, cleanses, unifies and integrates big data with other information sources, providing organizations with contextual intelligence that lends itself to actionable insights. [17] It drives the intelligence of all the Intelligent Data Platform capabilities using machine learning to detect similar data across thousands of databases and file sets, find data quality anomalies, identify data structures, predict and resolve performance issues, and more. [17] Gong?s conversation intelligence platform records, transcribes, and analyzes all of your sales calls so you can drive sales effectiveness at scale, figure out what’s working and what’s not, and ramp new hires faster by helping them replicate your top performers. [19]

Accubits is specializing in machine learning, deep learning (multi-layered artificial neural networks), chatbots, classification tools (by sentiments, language, gender, age, etc.), predictive analytics. [10] It’s not the high-end artificial applications like self-driving vehicles. [9]

Right now, there is a huge opportunity for AI-based products and companies targeting applications in industries outside the tech sector, and there is relatively little competition in the short and intermediate term moonshots at major tech companies have a spotty record and largely target a distant future. [24] For their part, venture capitalists feel safer investing at higher prices in early-stage AI companies because a lucrative technology or team acquisition provides downside protection if they are unable to build a big business. [24] In 2018, the company was named one of the global top 100 AI companies by CB Insights. [23]

In this special guest feature, Christian Anschuetz, Chief Digital Officer at UL, discusses his belief that data will “democratize” business decisions, leading to better decision-making, new business models and a vastly different business landscape. [18] China Internet Weekly, the analytical and editorial entity of China Academy of Sciences (state-backed national scientific think tank and academic governing body) and one of the leading technology publications, on an annual basis publishes a ranking of the top 100 companies in each technology subsector including big data, AI, healthcare technology, and financial technology. [26] Some interesting additions to top 20 include Face++, one of the fastest growing machine vision companies, and AI Nemo, which is Baidu’s smart home AI branch and effectively the Amazon Alexa of China. [26] It’s my contention that companies like DeepMind who are interested in moving towards strong AI will have to move forward with “friendly” steps into noble fields like medicine in order to dispell some of the fear around progress towards machines that may (one day) become more intelligent than humans. [28] While many companies like Amazon.com AMZN, -0.01% are using AI internally to improve customer experience or to create products like voice assistant Alexa, Google has opened up the gates and is welcoming the world into its AI ecosystem. [27] Amazon, Google, and Microsoft–and to a lesser extent companies like Apple, IBM, Oracle, Salesforce, and SAP–have the massive computing resources and armies of talent required to build this AI utility. [46]

The vast majority of companies interviewed had nothing to do with chat bots or personal assistants, yet over a third of all executive responses expressed confidence in chat bots as the most influential consumer AI technology in the coming give years. [28] Many companies are “feeling out” where to apply these technologies (going from “AI platform” to solving specific business problems). [28] Knowing who is investing in what companies (and which technologies) is useful knowledge for other industry leaders who want to understand where the “smart money” is finding a home in the AI market. [28] While GPU usage is by no means a causal influence on the applications of AI in a given industry, it provides a certain amount of context on industry growth (Nvidia claims to have sold GPUs to nearly 100 times more companies in 2015 than in 2013, a significant leap). [28] The result is a list of 100 privately-held companies that are reinventing industries using AI and machine learning. [30] Joonko of Tel Aviv uses AI to help companies meet diversity and inclusion goals. [11] Puneet Shivam, president of Avendus Capital U.S., an investment bank, says: “The leaders in the AI cloud will become the most powerful companies in history.” [46] The maturing of that stack might explain why more established companies are more focused on building legitimate machine intelligence capabilities. [28] “Machine learning is where the relational database was in the early 1990s: everyone knew it would be useful for essentially every company, but very few companies had the ability to take advantage of it,” says Sivasubramanian. [46] Business News Network has named the Ottawa company its “top disruptor for 2017,” and it was also one of the Companies to Watch at the 2017 Deloitte Technology Fast 50 Awards. [31] APEX Technologies boasts an enterprise customer list with some of the most prominent Fortune 500 companies, brands, as well as top internet companies, including the likes of Lenovo, Didi ( China’s Uber), Hilton, DBS, Mont Blanc, Volvo, MacLaren, and Wanda Group. [26] Leading enterprise software companies including Oracle, Salesforce, and SAP are embedding machine learning into their apps. [46] “Ultimately, the cloud is how most companies are going to make use of AI–and how technology suppliers are going to make money off of it,” says Nick McQuire, an analyst with CCS Insight. [46] The Fund invests in securities of companies engaged in Information Technology which can be affected by rapid product obsolescence, and intense industry competition. [29] This Kitchener-Waterloo -based company’s key cloud service offers a way for auto companies to find malfunctions or predict failures for vehicles coming off the assembly line or being driven – a big, but often overlooked challenge. [31] Google says that more than 13,000 companies have asked to try Cloud AutoML. [46] In just two years, the number of companies NVIDIA collaborates with on deep learning has jumped nearly 35x to over 3,400 companies. [28] These communications “provide complete transparency into how analytic decisions are made,” and are used by companies like Deloitte, Credit Suisse and Mastercard. [30] The 2018 AI 100 List is now out, and we dived in to extract the most interesting companies in the marketing and sales industries. [30]

Besides the lack of consensus on a coherent definition for “artificial intelligence” as a term, the field’s nascent stage of development makes it difficult to carve out silos or hard barriers of where one industry or application ends, and another begins. [28] “Artificial intelligence” is a misunderstood term, thanks in part to dystopian views of the technology across pop culture — from the iconic Terminator to Cylons in Battlestar Galactica to HAL 9000 in 2001: A Space Odyssey. [27]

Unlike with big data, where you could buy a new capability, machine intelligence depends on deeper organizational and process changes. [28] For the first time, a “one stop shop” of the machine intelligence stack is coming into view –even if it?s a year or two off from being neatly formalized. [28] Machine intelligence is different from traditional software. [28]

Their powerful machine learning brain is the optimal combination of human and machine learning intelligence. [25]

If one is just analyzing “AI for Business Intelligence,” one can construct a relatively rigorous set of classifying rules to determine what does and does not get couched under the header of “AI” and “Business Intelligence.” [28]

Cortica:- Cortica is a technology company developing leading computer vision AI. The company is backed by more than 200 patents. [25] “The AI space in Israel is certainly growing and even leading the way in some fields of learning technologies,” writes Singer. [11] Kasisto, Inc.:- Created the leading conversational AI platform for the finance industry with the most comprehensive production deployments. [25] Quantifying the potential financial rewards is difficult, but for the leading AI cloud providers they could be unprecedented. [46]

Top holdings now include Nvidia Corp. NVDA, +1.17% for its leading Drive PX platform that can power self-driving cars, Japanese “smart factory” supplier Omron Corp. OMRNY, -0.19% and medical robotics company Cyberdyne CYBQY, +2.11% to name a few. [27]

Comet Labs is a venture fund focused specifically on artificial intelligence-oriented technologies, and they’ve done a good deal of their own homework in assessing the industry at large. [28] AI vendors and large company executives are both looking to the “cool kids” (hottest new AI companies with tens of millions in funding, and the biggest AI tech firms like Facebook, Google, Amazon) for determining future trends, and where they should go next. [28] You may like to explore that list to find out and quickly learn about more AI companies. [25]

Our products are thought to cover a large amount of markets, from video surveillance to business intelligence and traffic monitoring. [25]

Analysis of keywords indicates that China trumps the U.S. in the more general “artificial intelligence” patents, according to European Patent Office data compiled by CB Insights. [47] China leads the U.S. in patents bearing the general keyword “artificial intelligence.” [47]

China isn?t the only country interested in this use of AI, and companies around the world are working on similar systems. [48] At least 15 public companies and startups are looking to capture the market for a “second wave” of AI chips, which promise faster performance with decreased energy consumption, according to James Wang of investment firm ARK. Nvidia?s GPUs were originally developed to speed up graphics for gaming; the company then pivoted to machine learning. [49] Many companies, including Alphabet, Apple and Microsoft, are also investing to build specialised, powerful “AI chips” that can power their various activities. [50] Many firms in other industries, from retailing to media, stand to benefit from what those in the cloud business tout as the “democratisation” of AI. Providing AI to companies that do not have the skills or scale to build up sophisticated capabilities independently could be a money-spinner in the $250bn cloud market. [50] As real-time data becomes gradually more discoverable by consumers thanks to improvements in AI, companies will need to pay more attention to managing that data, and demand for Yext?s suite of real-time data-management products will subsequently boom. [37] David Kenny, the boss of Watson, IBM?s AI platform, predicts that there will be “two AIs”: companies that profit from offering AI-infused services to consumers and others which offer them to businesses. [50] Long-term investors should be aware of the risks these tiny companies face as they compete with the megacap, diversified market leaders in AI technology, such as Amazon.com, Inc. (NASDAQ: AMZN ) and Alphabet Inc (NASDAQ: GOOG ) (NASDAQ: GOOGL ), which currently dwarf these smaller competitors in terms of resources. [40] As such, the companies that win the AI battle stand to gain a lot over the next several years. [37] Twenty-five years ago, patent suits were mostly disputes between companies fighting to use specific technology in their products, Abramson says. [51] The technology is rapidly finding use in supply chains and fintech, as reflected by the companies selected for the emerging leaders list. [34] Uptake is a World Economic Forum Technology Pioneer, two-time CNBC Disruptor 50 honoree and ranked #12 on Fortune?s list of Best Companies to Work for in Chicago. [36] Nvidia is riding high on its core technology, the graphics processing unit used in the machine-learning that powers the algorithms of Facebook and Google; partnerships with nearly every company keen on building self-driving cars; and freshly announced hardware deals with three of China?s biggest internet companies. [49] The three largest–Amazon Web Services, Microsoft?s Azure and Google Cloud–offer application-programming interfaces (APIs) that provide machine-learning capabilities to other companies. [50] Blockstream Corp, the No. 2 company, led the blockchain companies with its cryptocurrency services. [34] Other blockchain companies that made the list offer secure transactions, web browsing and cyptocurrency investment services. [34] The remaining 11 companies on the list fell in a variety of verticals, including drones, fintech, education, healthcare and business software. [34] Built on a foundation of data science and machine learning, Uptake helps industrial companies digitally transform with open, purpose-built software that delivers outcomes that matter. [36] In addition to publishing papers, many companies today make their machine-learning software libraries open source, offering internal tools to rivals and independent developers. [50] Investors say this isn?t even the top for Nvidia: William Stein at SunTrust Robinson Humphrey predicts Nvidia?s revenue from selling server-grade GPUs to internet companies, which doubled last year, will continue to increase 61% annually until 2020. [49] “The companies filing a lot of applications in this space are a big portion of the economy,” says Joe Holovachuk, a patent attorney with the firm Pepper Hamilton. [51]

Such homilies to openness have become standard from the large tech companies competing intensely to develop AI technology. [51] The six recognized AI companies provide chatbot services, data analytics, fraud detection, autonomous vehicle technology and agricultural services, among other features. [34] The WSJ article noted that the U.S. has twice as many AI companies as China and spends a lot more on R&D. [47]

Baidu AI powers Apollo, one of the world?s leading self-driving platforms, and DuerOS, China?s leading smart speaker system. [37] Mr Musk and others are worried about what might happen when a firm finally cracks “general intelligence”, the ability of a computer to perform any human task without being explicitly programmed to do so. [50] WayBlazer uses artificial intelligence-driven software to personalize online travel shopping. [35]

RANKED SELECTED SOURCES(51 source documents arranged by frequency of occurrence in the above report)

1. (17) AI Companies & Cybersecurity:The Race To Build Artificial Intelligence Defenses

2. (16) Artificial Intelligence Industry – An Overview by Segment

3. (15) A look at the leading artificial intelligence infrastructure products

4. (14) Top 25 Artificial Intelligence Companies – Datamation

5. (13) AI Technology Race: U.S. Artificial Intelligence Companies And Chip Stocks Vs. China | Stock News & Stock Market Analysis – IBD

6. (12) Discovering Best Artificial Intelligence Companies: Top 15

7. (11) Top Well-Funded AI Startups To Watch In 2018

8. (9) Where Do World Leading Companies Get Their AI Expertise From? – insideBIGDATA

9. (8) Top Five Sales and Marketing AI Companies | The Sales Insider | The Sales Insider

10. (8) The AI 100: Artificial Intelligence Startups That You Better Know

11. (8) Silicon Valley companies are undermining the impact of artificial intelligence TechCrunch

12. (8) What are some leading artificial intelligence companies? – Quora

13. (8) AI, blockchain top this season’s companies to watch hot list | CIO Dive

14. (7) 4 Artificial Intelligence Stocks to Watch

15. (7) 5 Top Artificial Intelligence Stocks for Human Investors

16. (7) How the AI cloud could produce the richest companies ever – MIT Technology Review

17. (7) 3 Top Artificial Intelligence Stocks You Should Consider | InvestorPlace

18. (6) 3 Best Artificial Intelligence Stocks to Buy Now — The Motley Fool

19. (6) Biggest Artificial Intelligence Startups 2018 – The Startup – Medium

20. (6) APEX Technologies Ranked as the Top Artificial Intelligence Company by China Internet Weekly | Markets Insider

21. (6) These 3 stocks are smart bets on the artificial intelligence revolution – MarketWatch

22. (6) 7 surprising companies where you can work on cutting-edge AI technology

23. (6) Google leads in the race to dominate artificial intelligence – Battle of the brains

24. (5) 17 Israeli companies pioneering artificial intelligence | ISRAEL21c

25. (5) The 10 Biggest Artificial Intelligence Startups in The World – Nanalyze

26. (5) Top 10+ Artificial Intelligence (AI) Companies – Review 2018

27. (5) 2017 in Review: 10 Leading AI Hubs – SyncedReview – Medium

28. (4) Leading artificial intelligence companies partner on a quest to solve Duchenne Muscular Dystrophy | EurekAlert! Science News

29. (4) 7 Top Marketing and Sales Companies Using Artificial Intelligence and Machine Learning

30. (4) Artificial Intelligence Startups in Chicago | Built In Chicago

31. (4) Navigating the Hype of Healthcare Artificial Intelligence Companies

32. (4) These Three Companies Are Tops In Artificial Intelligence | Investors Business Daily

33. (4) The Best AI Companies To Work For In 2018 Based On Glassdoor

34. (3) Top analysts are betting on these AI growth stocks

35. (3) China emerges as a hotbed for artificial intelligence – Digiday

36. (3) Leading Companies in the Development of Robotics and AI – Global X Funds

37. (3) 10 AI companies to watch for in 2018 | InvestinOntario

38. (3) AI 100: The most promising artificial intelligence companies

39. (3) Artificial Intelligence Startups in Austin | Built In Austin

40. (3) 8 Ways To Play The AI Boom (NYSE: XLK) | Benzinga

41. (3) Which Country Is Leading AI Isn’t the Intelligent Question – Bloomberg

42. (3) Nvidia (NVDA) is still leading the way in artificial intelligence — Quartz

43. (3) Despite Pledging Openness, Companies Rush to Patent AI Tech | WIRED

44. (2) 3 Top-Ranked Stocks Leading the AI Revolution | Investopedia

45. (2) Leading Artificial Intelligence Companies | Microsoft Awards Pollfish

46. (2) Big Bets on A.I. Open a New Frontier for Chip Start-Ups, Too – The New York Times

47. (1) 20 top startups redefining their industries with artificial intelligence | Information Management

48. (1) Make Way for Machine Learning: How Seattle Is Becoming a Major Hub for Artificial Intelligence | Seattle Business Magazine

49. (1) 16 Artificial Intelligence Startups in the UK Raising Some Serious Capital

50. (1) 5 Artificial Intelligence Companies to Watch in 2018 | Inc.com

51. (1) Chinese AI startup SenseTime is now the world?s most valuable – The Verge