Clearly, there are a lot of reasons to join this booming industry. Twilio is a cloud communications platform as a service (PaaS) company that allows software developers to integrate text messages, phone calls, and video calls into applications through the use of various APIs. But instead of converting language into text like most virtual assistants, the app’s AI combines voice recognition and language understanding into single step. In addition to Salesforce’s own employees, Einstein will be available for customers who can build their own applications. Founded in 2015. Tetra uses AI to take notes on phone calls, so people working in call centers can focus on discussions with the callers. Overall the company’s goal is to boost the value of robotics in daily life. It uses a mixture of computer-vision, advanced robotics, and a set of machine-learning algorithms that Anki calls the “emotional engine” to make its robots have a personality. It cuts through the clutter of non-news or irrelevant news to specific industries and only gives them highly relevant news when it happens. In the future, everything will be tracked by intelligent cameras. The founders say they are motivated in part by concerns about existential risk from artificial general intelligence. Casetext is an AI-powered legal search engine specializing in legal documents, with a database of more than 10 million statutes, cases, and regulations. Minimum Wage Debate And Rethinking Presentations In an AI Computer Modeling World, Artificial Intelligence in 2021: Current and Future Trends, Qualcomm’s AI-Driven Video Compression And Ensuring that AI’s Do No Evil. Stem is a veteran energy storage firm that has adopted AI to help automate energy management by using AI to determine when to charge energy storage systems and when to draw on them. Based in Emeryville, California. A vendor to watch. These AI-fueled applications serve a wide array of sectors and and industry verticals, from supply chains to healthcare to anti-fraud efforts. 10 Best Artificial Intelligence companies to Watch 2020. Xnor is working to alleviate the strain that AI puts on infrastructure by building a solution that allows heavy duty algorithms to be powered by everyday hardware. Vade Secure is one of the world's leading email defense companies, deploying artificial intelligence and machine learning to protect more than 600 … In addition to using AI to improve its services, Google Cloud sells a number of AI and machine learning services to business. Twilio’s services are accessed over HTTP and are billed based on usage. H2O.ai is transforming the use of AI with software with its category-creating visionary open source machine learning platform, H2O. iCarbonX is a Chinese biotech startup that uses artificial intelligence to provide personalized health analyses and health index predictions. Tamr combines machine learning and human tech staff to help customers optimize and integrate the highest value datasets into its operations. At this juncture, there is a wide variety of AI companies entering the industry with a set of advanced solution offerings. Pony.ai develops software for self-driving cars – it was created by ex-Google and Baidu engineers who felt the big companies are moving too slow. Founded by Rosalind Picard and Rana  el Kaliouby, the firm was  launched from an MIT Media Lab, and has venture backing by some of the biggest names in VC. All of this is monitored by AI, which learns the residents’ behavioral patterns and adjusts management accordingly. H2O.ai provides an open source machine learning platform that makes it easy to build smart applications. It’s goal is to build “safe” AI that evolve in their abilities to solve problems. In essence, it’s a cloud-based solution for intelligent robots. ... marketplaces, e-commerce stores and even social networks prevent fraud. A learning culture in the age of AI Rulai is working to change this using the flexibility and adaptabililty of AI. The company fabricated the first AI chip for mobile units. It also has an AI marketplace, an online AI collaboration system for business experts, researchers, data scientists, and developers to solve problems. "In a very short period of time, we've been able to basically put the system at a level of maturity far beyond what other companies of our age have been able to do," states Nick Twork, senior communications counsel at Argo AI. Given the large market for call centers – and the need to make them more effective at low cost – this is a big market for AI. On its Azure cloud service, Microsoft sells AI services such as bot services, machine learning and cognitive services. Its applications included “attended” RPA, which helps office works do mundane, repetitive tasks much more efficiently, employing the power of machine learning. 9 Leading AI Healthcare Companies in 2020. Clearly a major growth area. Founded in 2016, People.ai’s goal is to streamline the life of salespeople, assisting them in putting the reams of small details into the relevant CRM systems, chiefly Salesforce. This device – powered by Butterfly iQ – allows an ultrasound examination of the entire body, at a far lower cost than legacy systems. Nuro makes very small self-driving electric delivery trucks designed for local deliveries, such as groceries or takeout. An AI-powered – but human assisted – transcription provider, the company also sells access to developers, so tech-savvy folks can use its speech recognition technology. Narrative Science creates natural language generation technology to translate data from multiple silos into what it calls stories. And, using a model built from a vast store of anonymous health records, its system offers help based on how a users complaint correlates with this vast history of other patients. This technology finds its applic… It has already made its first fully autonomous driving demonstration. It gathers and analyzes massive pools of medical and clinical data at scale to provide precision medicine that personalizes and optimizes treatments to each individual’s specific health needs. Their AI-based vehicle is geared for the robo-taxi market. AI companies in the years ahead are forecast to see exponential growth in deep learning, machine learning and natural language processing. Nvidia’s emergence as an AI leader was hardly overnight. This is especially helpful for poor communities where healthcare resources are scarce. For now, Argo AI's test vehicles are Ford Fusions, but that could change in the future. ... Dutch Analytics is building the leading platform which facilitates hosting, fast deployment, testing and implementation of all AI models, throughout their lifecycle. AI is projected to create 2.3 million related jobs by 2020, according to Gartner. There's nothing "artificial" about these AI stocks to buy now. The leading cloud computing platform in Asia, Alibaba offers clients a sophisticated Machine Learning Platform for AI. The company’s solution has trained on cancer-positive blood samples, which enable it to detect problems using specific biomarkers. Expect Domino to grow rapidly in the years ahead. The firm is based in London and recruits heavily from Oxford and Cambridge, which are leading universities in Europe for AI and ML research. Vivint’s Smart Home is a highly popular smart home services in North America, with features like security cameras, heating and cooling management, door and window security and a remote speaker to talk to people at the door. Very much focused on the enterprise AI sector. The AI vendors are leading the market by providing AI and ML through their popular cloud platforms, enabling companies to incorporate AI into applications and systems without the expense of developing it in-house. K Health’s AI solution operates in this area. Acquired in a $1.2 billion high profile deal by Amazon, Zoox is focused on self-driving cars, or, in the larger sense, a self driving fleet (hence Amazon’s interest). Ironically, Bossa Nova started as a robotic toy maker, but now has full scale robots in retailers like Walmart. Entire industries are being reshaped by AI. They also have one of China’s top video streaming platforms, Tencent Music. It specializes in using AI to connect and integrate diverse data at scale, quickly and cost effectively. Taking a big step up from simple automation, Icertis – with a decade under its belt – handles millions of business contracts. Suki’s aim – using the power of AI to learn over time – is to mold and adapt to users with repeated use, so the solution becomes ever more of a time saver and efficiency booster for physicians and healthcare workers. AI tends to be power-hungry but The Neurala Brain uses audio and visual input in low-power settings to make simple devices more intelligent. Additionally, IBM formed a separate division, IBM Watson division, to focus on the development of technologies of cloud-based artificial intelligence comprising of their self-owned products and of other organizations, too. Its solutions can accomplish any number of fine-grain tasks that might previously have required the exactitude of a skilled human. Phrasee specializes in natural language generation for marketing copy. Its solution is used by most of the 100 largest banks. One of the better known AI vendors, CloudMinds develops the Human Augmented Robotics Intelligence (HARI) platform for robots, for what it calls an end-to-end cloud intelligence (CI) system. Expertrons uses it’s AI recommendation engine to suggest which experts are the most suitable for a candidate – based on hometown, degree, program, preferred role, dream companies etc. The company’s website is itself worth visiting for its visual creativity and wonderment. Specializes in deep learning, education and fintech. Amazon Echo brings artificial intelligence into the home through the intelligent voice server, Alexa. 2. “It will have a huge economic impact but also change society, and it’s hard to make strong predictions, but clearly job markets will be affected,” said Yoshua Bengio, a professor at the University of Montreal, and head of the Montreal Institute for Learning Algorithms. A player in the new field of quantum machine learning. He co-founded Oculous, which Facebook bought for a cool $2 billion. One area Nvidia is making a big push is in self-driving cars, but it is one of many efforts. With backing by some real heavweights – Jeff Bezos, Elon Musk and Mark Zuckerberg – Vicarious’s goal is nothing less than to develop a robot brain that can think like a human. For news sensitive vendors, its goal is to detect early risks from media coverage. The RBR50 is the annual list of the 50 most innovative and transformative robotics firms that have been successful in the last year. Its machine learning tools, bolstered by data analytics, seek insight on fraud before it happens. Its AI solution is offered via mobile, on-premise or API. Consulting giant Accenture believes AI has the potential to boost rates of profitability by an average of 38 percentage points and could lead to an economic boost of $14 trillion in additional gross value added (GVA) by 2035. It uses non-invasive blood tests to recognize disease-associated patterns. The company’s core goal is to equip HR pros with machine learning smarts. Running AI is exceptionally data intensive – the more data the better – and so today’s chipmakers (like Intel and Nvidia) are star players. Focusing on enterprise AI, C3.ai offers a wide array of pre-built applications, along with a PaaS solution, to enable the development of enterprise-level AI, IoT applications and analytics software. Its founders previously worked on Google’s Waymo self-driving car project. ViSenze’s artificial intelligence visual recognition technology works by recommending visually similar items to users when shopping online. AI developers have come to see the value in the GPU’s massively parallel processing design and embraced Nvidia GPUs for machine learning and artificial intelligence. Tempus – “data driven precision medicine” – uses AI to fight disease and bolster patient outcomes. Images and videos are tagged, teaching the technology to find similarities in images. RPA companies have completely shifted their platforms. Its Bluetook beacons use customer phones to help orient them around the building. Sherpa is a virtual personal assistant that works with a user’s entire array of devices, inferring and predicting their needs that allow the assistant to learn about the users and anticipate their needs before they ask. Think of K Health as the advanced edge of telemedicine. Formerly known as Sift Science, the company provides multiple fraud management services in one platform. Insitro operates at “the convergence of human biology and machine learning.” More specifically, it uses artificial intelligence to build models of various human illnesses, using those model to forecast previously unknown solutions – far beyond human intuition. Microsoft also purchased five AI companies in 2018 alone. Organizations investing in quantum computing cite improved AI capabilities, accelerated business … DataVisor protects companies from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more. The annual deal count in 2018 also rose for the fifth consecutive year, resulting in 43 Canadian AI investments. Sift mines thousands of data points from around the web to train in detecting fraud patterns. The company’s See & Spray technology can detect individual plants and apply herbicide to the weeds only. It has infiltrated the healthcare space tremendously in the last decade bringing in billions of dollars to different sectors. A giant in the field, they also fund AI efforts. Element AI says it supports building apps for predictive modeling, forecasting modeling, conversational AI and natural language processing, image recognition and automatic tagging of attributes based on images. OneModel is a talent analytics accelerator that helps HR departments handle employees, career pathing, recruiting, succession, exits, engagement, surveys, HR effectiveness, payrolls, planning, and others, all in one place and in one uniform way. Users can text with a doctor or find similar cases near them (useful for COVID-19). You have surely encountered the limited conversational elan of a chatbot; a few stock phrases delivered in a monotone. Banjo offers an AI-powered “event-detection engine” that draws on geolocated public posts made from mobile devices to tell you what is going on in your immediate area. Deep 6 accomplishes this by using a AI-powered system to scan through medical records, with the ability understand patterns in human health. The company raised more than $175 million in Series C funding before being acquired earlier by cancer research giant Roache. This cloud-based SaaS firm focuses on endpoint security. Ayasdi is a machine intelligence software company that offers intelligent applications to its clients around the world for using Big Data and complex data analytics problems. Affidea Experience: Improving Patient Safety with AI. Lobster is an AI-powered platform that helps brands, advertisers and media outlets find and license user-generated social media content by scanning major social networks and several cloud storage providers for images and video, using AI-tagging and machine learning algorithms to identify the most relevant content. This reduces the amount of chemicals sprayed by up to 90% over traditional methods. AI applications are massive consumers of computing resources, hence the special chips required for AI. Google, a leader in AI and data analytics, is on a massive AI acquisition binge, having acquired myriad AI startups in the last several years. Its goal is to help customers automate what would be the manual processes of using their own unique data. A major growth area. Users see and interact with objects presented by fully dimensioned visual world of the Ubiquity app, immersing themselves in a creative or educational environment. It recently moved its algorithms to Google Cloud to help it scale. It prides itself on“intelligent automation.”. Rather than asking what Google products use artificial intelligence, it’s better to ask if there are any Google products that don’t use artificial intelligence!!! The goal is to speed and optimize the process of digital transformation. Geared for busy users, X.ai’s intelligent virtual assistant “Amy” helps users schedule meetings. 20 Hot Edge Computing Companies To Watch In 2020 CRN breaks down the 20 companies leading the edge computing innovation charge in 2020. Arguably the top vendor in the robotic process automation sector, UiPath makes an enterprise software platform that includes tools for robot licensing, provisioning, scheduling, monitoring and alerting. Ranked as Leading AI Development Companies 2020 by Clutch We would like to be thankful to Clutch and our Clients, for awarding us with this special honor. In this post, we list the world’s top 50 robotics companies, shortlisted by the RBR50 Robotics Innovation Awards, widely recognized as a leading indicator of robotics innovation leadership.. Click here to continue reading. Graphcore makes what it calls the Intelligence Processing Unit (IPU), a processor specifically for machine learning, used to build high performance machines. AI funding increased for the second consecutive year, with companies raising $548 million in 2018, a 51 percent increase year-over-year. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. Cylance develops security apps that prevent – instead of reactively detecting –  viruses and other malware. These percentages drop considerably among companies that are earlier on the AI journey. Instead of transmitting energy via electrons, Xanadu’s system employs laser light to move data. CognitiveScale builds customer service AI apps for the healthcare, insurance, financial services and digital commerce industries. Post Facebook, at the ripe age of 27, he’s launched Anduril, which adds sophisticated sensors and vehicles and drones to create a threat protection zone. Using artificial intelligence and natural language processing to mine structured and unstructured patient data, DEEP 6 AI finds more, better-matching patients for trials in minutes, not months. In a world run by data, in many cases, someone – or some system – has to prep that data so that it’s useable. Its products are built on its Cortex augmented intelligence platform for companies to design, development, delivery, and manage enterprise-grade AI systems. Its AI-enable system monitors and checks the quality of countless data sources – far more than a human, of course, but more important, far more than a legacy system that doesn’t have the speed and flexibility and insight of AI. AI highlights only the most relevant and interesting information, to turn data into easy-to-understand reports, transforms statistics into stories, and converts numbers into knowledge. The Twilio Autopilot offering allows companies to build and train AI-driven chatbots.