Top ten data science and machine learning companies
Gigabit takes an in-depth look at some of the top startups you need to know in the data science and machine learning space
10 | Sumo Logic
Led by President and CEO Ramin Sayar, Sumo Logic is a machine data analytics company that delivers real-time IT insights using Big Data. The California-based firm has more than 1,600 customers around the globe who use Sumo Logic’s offering to analyse and make sense of their log data. Sayar said that the firm’s growth is “being driven by the shift to digital business and cloud adoption across industries and companies of all sizes”. He added: “Today, it is incredibly exciting to be an essential solution serving both born-in-the-cloud and traditional companies embracing digital business, as well as working with our global ecosystem partners, to democratize machine data for the new Analytics Economy.”
9 | Splunk
Headquartered in San Francisco, California, Splunk’s software platform indexes machine data and make its searchable so it can be transformed into actionable intelligence. In February, Splunk announced that its full yar 2019 software revenues were $1.2bn, up 44% year-over-year. The firm was recently named on Forbes Digital 100 list as one of the top companies shaping the world’s digital economy. In 2018, the firm purchased mobile analytics platform BugSense and later in 2015, it bought cybersecurity startup Caspida. Last year, Splunk also announced plans to buy Phantom Cyber Corp. which offers security orchestration, automation and response capabilities for security teams.
8 | RapidMiner
Built for analytics teams, RapidMiner unites the entire data science lifecycle from data prep to machine learning to predictive model deployments. Today around 30,000+ global organisations use RapidMiner, according to the firm. This year, RapidMiner announced that it would partner with Talend to help operationalise artificial intelligence. The firm was also named a leader in Gartner’s 2019 Magic Quadrant for data science and machine learning platforms for a sixth consecutive year in a row.
7 | Knime
Led by CEO Michael Berthold, Knime has developed a renowned open-source business analytics platform for data-driven innovation. KNIME’s headquarters are based in Zurich, with additional offices located in Konstanz, Berlin, and Austin. In 2019 -- for the sixth year in a row -- Gartner highlighted KNIME as a leader for Data Science and Machine Learning Platforms based on ability to execute and completeness of vision. “We have always believed it is the data science and machine learning community that ultimately decides what the leading platforms are. We are humbled by the response of KNIME users across all industries, continents, and application areas which has helped us achieve this honor,” Berthold said in a statement. “That community comprises not only users who use our software, but many who also contribute to it.”
6 | H20.ai
c Last year, the Silicon Valley firm partnered with Google to integrate its full suite of products with Google Cloud Platform (GCP). “Customers are looking for AI solutions that are not only simple to implement and use, but that will also scale with their organisations over time, so we’re excited to integrate H2O.ai’s products and capabilities with Google Cloud Platform,” Adam Massey, Director of Global Technology Partners at Google Cloud, said in a statement. “Our collaboration will give customers access to enterprise-grade machine learning and AI capabilities from both H2O.ai and Google Cloud.”
5 | Domino Data Lab
Domino Data Lab is a leading data science platform that helps rapidly develop and deliver models. Used by companies such as Allstate, Instacart, dell and Bayer, the technology has been used to “accelerate breakthrough research, increase collaboration, and rapidly deliver high-impact models”, according to the firm. In 2018, the San Francisco-based firm secured $40mn in funding in a round led by Sequoia Capital and Coatue Management, ring Domino’s total capital raised to $81.2mn. Over the past several years the business has expanded globally and deepened strategic partnerships with companies such as Amazon Web Services (AWS) and SAS. Last year, Domino Data Labs was named a leader in notebook-based predictive analytics and machine learning solutions by independent research firm Forrester.
4 | DataScience.com
DataScience.com’s platform centralises data science tools, empowering data scientists to deliver transformative insights. In 2018, the firm was acquired by Oracle and added to the Oracle Cloud offering, enabling its customers to fully utilise machine learning. Commenting on the deal, Ian Swanson, CEO of DataScience.com said: “With DataScience.com, customers leverage a robust, easy-to-use platform that removes barriers to deploying valuable machine learning models in production. We are extremely enthusiastic about joining forces with Oracle’s leading cloud platform so customers can realize the benefits of their investments in data science.” Companies such as Amgen, Rio Tinto and Sonos have used the DataScience.com platform.
3 | DataRobot
DataRobot is a Boston-based Data Science company that allows business scientists of all skill levels to build and deploy accurate machine learning models quickly. Jeremy Achin is CEO and Co-founder of the firm. In February 2019, DataRobot acquired Cursor, a San Francisco-based company that provides a data collaboration platform to help businesses find, understand and use data more efficiently. Commenting on the deal, Achin said: “The Cursor technology and team are key pieces of the puzzle for DataRobot’s vision of an AI-driven world. The Cursor team has architected an incredible platform and shares DataRobot’s mission to build unprecedented levels of automation across the AI pipeline.”
2 | Dataiku
Dataiku is a computer software firm that helps business navigate their data journey from analytics to enterprise artificial intelligence (AI). Through the firm’s collaborative platform for advanced analytics, organisations can utilise data science and machine learning techniques to deploy their own big data software. According to the company’s website, the firm was founded in 2013, based on the belief that “in order to succeed in the world’s rapidly evolving ecosystem, companies - no matter what their industry or size - must use data to continuously innovate.” Impressively, the company doubled in size in 2017 and tripled its revenue. To date, the firm has raised $146.7mn in total funding, according to Crunchbase.
1 | Ayasdi
Headquartered in Palo Alto, California, Ayasdi Inc. is a machine intelligence platform that allows organisations to tap into the power of Big Data. The company says that it “represents the intersection of artificial intelligence (AI) and applications” as its technology is used to create applications for industries including financial services, healthcare, and the public sector. For instance, in partnership with the Netherlands Cancer Institute, the firm’s technology has helped to reveal genetic trains of cancer survivors and in another alliance with Mount Sinai Medical Centre, Ayasadi’s technology is being used to analyse the entire E. Coli genome sequence. Ayasdi has raised a total of US$106.3mn in funding over seven rounds, according to Crunchbase.