May Mobility is taking on the self-driving challenge with form factor that’s more predictable than cars: autonomous shuttles. It earned a spot on Forbes’ list of Next Billion-Dollar Startups earlier this year. To be included on the list, companies needed to show that techniques like machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to “understand” written or spoken language), or computer vision (which relates to how machines “see”) are a core part of their business model and future success. UiPath is a software company dedicated to robotic process automation. 4Paradigm is an AI platform and cloud services provider. “Suki was born with a mission to bring joy back to medicine,” he says. Uptake CEO Brad Keywell says his company is in the business of making sure things work, “whether it’s the U.S. Army’s Bradley Fighting Vehicle, or the components that make up Rolls-Royce’s fleet of market-leading engines.” It’s brought in more than 100 industrial customers on its way to a $2.3 billion valuation. For the time being, its tools are used not so much by doctors as they are by researchers at pharmaceutical companies. Daniel Schreiber & Shai Wininger of Lemonade. That week inspired him to address “bad” customer relationship management data head-on, he says. Country: USA – Headquarters: Palo Alto, CA – Founded: 2017, Market: Semiconductors, Autonomous Vehicles – Total funding: $700.6 Million. 580 Unicorn Startup Companies Excel Spreadsheet, best online courses for AI, machine learning and data science, Top 30 companies of China in the Shanghai Composite index 2020, The most transformative products for your work and business, Top 30 largest US financial companies 2020. It provides platforms, computing technologies, and patrol and service robots for Smart Cities, buildings monitoring, management and maintenance solutions, community management and safety, and Internet of Things and computer vision for retail. With a huge database of machine failures at its disposal, the five-year-old company leverages artificial intelligence to analyze how its customers’ machines can run better and avoid these failures. Note that you can use this image to embed it on your website and other digital properties using the embed code below. “I have always dreamed of building artificial brains,” says neurobiology researcher and CEO Eugene Izhikevich. Country: USA – Headquarters: San Francisco, CA – Founded: 2014, Market: Internet of Things, Speech Recognition – Total funding: $252.8 Million. It uses a computational and experimental technology platform for R&D programs to lower drug development costs, decrease failure rates, and increase the speed at which medicines are generated. Country: USA – Headquarters: Fremont, CA – Founded: 2016, Market: Data Analytics – Total funding: $743.7 Million. MinigLamp notably helps organizations build knowledge graphs, apply AI, and discover insights to boost human-machine collaboration and accelerate digital transformation. The company makes a threat-detection system, using data from sensors mounted on towers, drones, and vehicles to create a real-time, 3D model of an area. And in a world where supergiant rounds are now quite common, AI startups have brought in some significant capital. Combining a cloud automation platform with Ai, machine learning, and analytics, it deploys software bots to help customers automate their repetitive and manual tasks, and other business processes to increase productivity, and improve customer experience and employee engagement. Andy Palmer was running data engineering at pharmaceutical company Novartis when MIT’s system was brought in to organize a decade’s worth of biological assay information spread across more than 15,000 tables. Beck, who spent more than five years as a pathologist at Harvard, wants to make it easier for other pathologists to diagnose diseases like cancer by using machine learning to more quickly and accurately analyze images of cells. Practically 83% of AI and machine learning startups … showcasing how agents can use it to give 3D tours. Some of these startups are already famous in their field, having reached massive recognition for their products and services. Cut through the chase for business, money, tech and finance: get the latest from Disfold directly in your inbox! Icertis, which celebrated its ten-year anniversary earlier this year, manages nearly 6 million contracts. With a number of applications in big data, computer vision, natural language processing, and more, AI is revolutionizing businesses, industries, and people’s lives. The Boston-based startup boasts a client list of the world’s largest pharma giants, such as Novartis, Gilead Sciences and Bristol-Myers Squibb. The company’s leaning into the real estate market, showcasing how agents can use it to give 3D tours. Country: USA – Headquarters: Santa Clara, CA – Founded: 2015, Market: Data Analytics – Total funding: $339.4 Million. The A.I. The winners below are listed in order of ascending valuation, and in each case we’ve tried to focus on the problem the company is trying to solve instead of the tool solving it. The company’s consumer app draws on a data set of more than 2 billion anonymized medical records, finding subtle patterns in the data to give users personalized health advice. Rulai has won over the likes of Lyft, Sanofi and Fidelity with its customer support, sales and employee productivity bots. CEO and cofounder Dhananjay Sampath launched Armorblox into the saturated cybersecurity market two years ago with the aim of protecting customers from socially engineered attacks, like phishing emails, that take advantage of human missteps. CloudMinds provides a number of humanoid robots, infrastructure to operate fleets of robots, and smart devices for communication and crowd health monitoring. Algorithmia cofounder Kenny Daniel used to have a favorite saying: “'The future is already invented; it just happens to be stuck in a research paper somewhere.” He and longtime Microsoft employee Diego Oppenheimer banded together to devise an easier way for data scientists to discover and work with machine learning models. Standard Cognition has opened a pop-up in San Francisco to show off its tech and says that it’s in “shadow mode” testing in several stores in North America. Your email address will not be published. In our deep dive on Blippar, a London-based startup that combines augmented reality and computer vision for AR marketing and other applications, we were a little … Country: USA – Headquarters: Foster City, CA – Founded: 2014, Market: Autonomous Vehicles, Robotics – Total funding: $1 Billion. As per Crunchbase, there are 8,705 startups and organizations today depending on AI and machine learning for their essential applications, products, and services. “Virtual assistants need to handle the variation of natural language and the variation of conversation flows,” she says. “Until now, the most complex operations in manufacturing have been too difficult for blind and dumb robots to perform with the same precision and fidelity as humans,” says CEO Amar Hanspal, adding that advances in computer vision and machine learning have changed the game. Its software cross-references CT images of a patient’s brain with its database of scans and can alert specialists in minutes to early signs of large vessel occlusion strokes that they may have otherwise missed or taken too long to spot. Thanks to the digitization of government systems spurred when former President Barack Obama established data.gov in 2013; there’s a strong mandate to collect and organize government-owned data. Lemonade sells renters and homeowners insurance, though, unlike Hippo, it is actually a licensed policy carrier itself. It’s tackling the world of floor-cleaning equipment first, partnering with manufacturers to make their machines better at avoiding obstacles in busy environments. Plug: We just published a list of 1,000 funded AI startups. A recent round of funding from Sequoia Capital, Amazon, and T. Rowe Price makes it one of the best-funded players in an increasingly crowded space. That’s why the companies listed here are only startups that are built upon AI. Hippo sells policies backed by established insurers, rather than underwriting them itself, and takes a commission off each one. Which one do you think provides the most useful product or service? In addition to using AI to improve its services, Google Cloud sells a number of AI … Aira's cofounders Watson Yim, Sujeeth Kanuganti, Suman Kanuganti, and Yuja Chang. Grammarly Grammarly. Your email address will not be published. What it does: AI platform that discovers critical breaking news and high impact events in advance of the existing information systems. Shifting from people to pasta and Poptarts eliminates safety and technical constraints. Instead of relying solely on machines, Lilt can churn out better translations, faster, for the likes of HBC and Zendesk by equipping freelancers with machine translations and predictive typing tools. When pharmaceutical research teams embark on a new clinical trial, one of the biggest bottlenecks can be finding the right cohort of patients to work with. MiningLamp is a big data company. Hello, cameras. Only eight startups were founded or cofounded by women, reflecting trends in venture funding, where software startups run by men have received the lion’s share of investment dollars. Recent funding: The startup recently raised $7,50,000 as closing investment from Connecticut Innovations, a US-based venture capital arm. One makes robots that can whir around shoppers to help workers restock shelves. Country: USA – Headquarters: Chicago, IL – Founded: 2015, Market: Autonomous Vehicles – Total funding: $690 Million. While Algorithmia began as a marketplace for algorithms used primarily by individual developers, it has adapted into a more robust infrastructure service for large enterprises. In September 2010, a three-person AI startup called DeepMind Technologies launched in London, with the goal of "solving intelligence." They’ve taken a mathematical approach to fashion styling, developing an AI … Dataminr ingests public internet data, like social media posts, and uses deep learning, natural language processing, and advanced statistical modeling to send users tailored alerts. Trax is an image recognition company dedicated to the retail industry. The company’s software has powered shuttle services in Providence, Rhode Island, and Columbus, Ohio, where passengers get scenic tours of the city. Coveo provides Artificial Intelligence-powered search and recommendation engines. Aurora Innovation is an autonomous driving technology company. Online recruiting platform Pymetrics helps companies find the right hires by looking beyond experiences and skills on a résumé. Country: Canada – Headquarters: Quebec – Founded: 2005, Market: Data Analytics – Total funding: $375.3 Million. Country: China – Headquarters: Beijing – Founded: 2014, Market: Computer Vision, Retail Technology – Total funding: $386.9 Million. ThoughtSpot is a business intelligence company operating through big data analytics. Ultimately, it plans to build its own comprehensive logistics business instead of selling its technology to other carriers. While most of the 50 hail from traditional tech centers like Silicon Valley, New York City and Boston, there’s representation from smaller hubs such as Detroit and Austin, too. Upstart CEO Dave Girouard admits that most of the early team of former Google employees had no history in financial services when they came up with the idea to apply advanced data science to the credit process in 2012: Only the belief that the current system was antiquated and exclusionary. For good measure, it is important to remark that three British startups are also present in the top, denoting an early interest and effectiveness of UK companies in AI, together with a Canadian and Singaporean company. Country: USA – Headquarters: New York, NY – Founded: 2005, Market: Internet of Things – Total funding: $1.4 Billion. Here is the list of the top 30 best-funded AI startups with details about each company, the total amount of funds received by the company according to Crunchbase, as of June 2020, in US $ or Chinese Yuan (with CN¥ converted to US $ with the rate of 7,0779 CN¥/$), together with a direct link to the company’s website. While there is a healthy market for AI … Through its AI analytics platform, it enables the exploration, analysis, and sharing of real-time business analytics data for e-commerce and retail, financial services, manufacturing and logistics, media and communications, public sector, healthcare, and life sciences, and procurement. Since Feedzai launched back in 2011 to fight fraud and money laundering, many more competitors have started touting how their own tools move beyond rules-based systems to machine learning, too. ), they never quite reached mainstream adoption, due in part to disenchantment with their limited scope and conversational rigidity. 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