DataRobot
DataRobot, Inc. develops an automated machine learning platform that empowers enterprises to create predictive models efficiently. Its offerings include DataRobot Cloud, a predictive analytics solution available both in the cloud and on-premises, and DataRobot MLOps, which facilitates the deployment, monitoring, and management of machine learning models across organizations. The company also provides DataRobot Enterprise, featuring flexible deployment options, governance, and training services, along with packages designed to accelerate artificial intelligence projects. DataRobot serves a diverse range of industries, including banking, healthcare, manufacturing, and marketing, catering to business analysts, data scientists, and IT professionals. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot has expanded its operations globally, with offices in major cities such as London, Paris, and Tokyo, and maintains strategic partnerships to enhance its offerings.
Agnostiq Inc. specializes in developing security software for quantum cloud computers, ensuring secure access to cloud platforms while maintaining the privacy of data and algorithms. Founded in 2018 and headquartered in Toronto, Canada, the company offers cross-platform solutions that integrate with existing software development kits (SDKs), allowing users to adjust security levels based on the quantum hardware utilized. Additionally, Agnostiq is known for its Covalent platform, a cloud-agnostic and scalable computing solution that provides on-demand, serverless access to artificial intelligence infrastructure, including Nvidia H100s and A100s. Covalent enables users to scale computing resources with a single line of code and is available in both open-source and cloud-hosted enterprise formats. The platform supports efficient serverless resource management, multi-cloud mobility, and workflow orchestration, catering to diverse computing needs.
Algorithmia, Inc. provides a platform that facilitates the deployment and management of machine learning models. Founded in 2013 and headquartered in Seattle, Washington, the company enables algorithm developers to create, explore, and share algorithms as web services. Its solution automates MLOps, allowing data scientists and developers to efficiently deploy models into production through a scalable API that can handle various algorithm requests. Algorithmia supports popular frameworks such as TensorFlow, PyTorch, Scikit-learn, and MXNet, and also hosts a public marketplace for algorithms. The company was acquired by DataRobot in 2021, enhancing its capabilities in serving enterprise customers with mission-critical workloads.
Zepl is a data analytics platform provider that focuses on simplifying data analysis for enterprises. The company, founded in 2011 and originally known as NFLabs, Inc., changed its name to Zepl in December 2016. It is based in San Francisco, California, with additional locations in Seoul, South Korea. Zepl offers a range of products, including Apache Zeppelin, a web-based notebook designed for interactive data analytics, and ZeppelinHub, which facilitates the sharing and repetition of analyses. The platform is built to enhance collaboration among data scientists, engineers, and analysts, allowing them to build and analyze models securely and transparently. Zepl's solutions integrate with various open-source and commercial tools, making it easier for organizations to manage and analyze large datasets without requiring extensive knowledge of complex technologies.
Paxata, Inc. is an adaptive data preparation platform that enables business analysts to transform raw data into ready-to-use information for analytics. Founded in 2012 and headquartered in Redwood City, California, Paxata provides a user-friendly, interactive experience for data preparation, allowing users to connect, explore, and combine data in a collaborative environment. The platform incorporates technologies for data integration, quality, semantic enrichment, and governance, facilitating the creation of rich AnswerSets for various analytical needs. Paxata's solutions, including the Data Time Machine for data governance and Adaptive Information Platform for Microsoft Azure, are designed to eliminate the need for coding and scripting. This self-service application can be deployed in cloud environments such as AWS or on-premises within Hadoop systems. As of December 2019, Paxata operates as a subsidiary of DataRobot, Inc.
ParallelM, Inc. is a company based in Santa Clara, California, specializing in machine learning operations (MLOps). It provides a software platform called MCenter that enables organizations to automate the deployment, scaling, and management of machine learning services in production environments. By facilitating the operationalization of machine learning, ParallelM helps businesses run multiple pipelines effectively while offering tools for real-time monitoring and identifying inaccuracies in predictions through machine learning health indicators. As a dedicated MLOps provider, ParallelM focuses on ensuring that enterprises can manage and govern their machine learning initiatives across various platforms and cloud or on-premise settings. As of June 2019, ParallelM operates as a subsidiary of DataRobot, Inc.
Cursor is a collaborative analytics platform designed to simplify data search and analytics for organizations. It provides an easy-to-use data catalog that integrates various databases, business intelligence platforms, and CRM tools, allowing users to access and organize disparate data efficiently. The platform enables both technical and business users to collaborate effectively, author code, and gain insights, ultimately making data more accessible and actionable across the organization. By streamlining the process of finding and understanding data, Cursor enhances the ability of users to derive meaningful answers and insights from their data resources.
Nexosis is a software company that provides a machine learning API for developers. Its API allows developers to quickly and easily build applications that leverage machine learning. The company was acquired by DataRobot, an automated machine learning platform that helps build and deploy predictive models. It was founded in 2015 and is headquartered in Boston, Massachusetts.
Founded in 2011, Nutonian is on a mission to enable anyone to derive answers and understanding from data. Our ability to simply explain how things work by unravelling hidden mathematical patterns will change the way businesses extract value from their data.
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