Snowflake

Modelbit is a company that offers a deployment platform specifically designed for machine learning models, catering primarily to data scientists. The platform seamlessly integrates with Jupyter and other data science notebooks, allowing users to deploy their models directly from the environment where they were built and trained. In addition to deployment, Modelbit provides tools for managing production deployments and facilitates collaboration on datasets among team members. Key features of the platform include integration with a modern data stack, along with capabilities for logging, monitoring, and testing, which further aid data scientists in developing models from any Python environment. Modelbit was co-founded by Harry Glaser and Tom O'Neill.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. The company's flagship products include Domino Cloud, a managed cloud infrastructure for running and scaling data models, and Domino On-Premise, which facilitates tracking, sharing, and auditing of analyses. Domino Data Lab serves a diverse range of industries, including financial services, insurance, media and technology, health and life sciences, manufacturing, retail, ecommerce, and consumer products. The platform is designed to empower data science teams, allowing organizations to manage and scale their data science efforts effectively. Notable clients like Allstate, Dell Technologies, and Bayer utilize Domino to enhance collaboration, accelerate research, and deliver impactful models. Founded in 2012 and based in San Francisco, California, Domino Data Lab was formerly known as Cerebro, Inc. and adopted its current name in February 2015.

Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

Securonix, Inc. specializes in security analytics and operations management, focusing on big data and advanced cyber threats. The company offers a range of solutions, including its Next-Gen SIEM, which is powered by Hadoop for efficient long-term data retention, and User and Entity Behavior Analytics (UEBA) that transforms raw event data into actionable insights. Securonix also provides Security Orchestration, Automation, and Response (SOAR) capabilities, as well as a Network Traffic Analysis (NTA) solution that integrates network traffic with security logs for enhanced context. Its offerings extend to various areas such as insider threats, cloud security monitoring, fraud prevention, and identity analytics. Founded in 2015 and headquartered in Addison, Texas, Securonix operates additional locations across the United States, India, the United Kingdom, Germany, and Singapore. The company aims to deliver actionable security intelligence through advanced analytics, enabling organizations to effectively detect and respond to both internal and external threats.

DataOps is a framework that focuses on improving the quality, speed, and governance of data across organizations. It provides a comprehensive platform that integrates tools for agile automation and Internet of Things (IoT) data compression within cloud environments. The DataOps platform facilitates end-to-end orchestration and management, allowing for continuous integration and delivery, automated testing, and efficient data extraction, loading, and transformation processes. By streamlining these operations, DataOps enhances collaboration among stakeholders, reduces operational costs, and ensures data assurance while maintaining robust governance and security measures. This approach empowers businesses to develop faster and more efficiently, ultimately leading to better decision-making based on high-quality data.

Sigma Computing, Inc. develops business intelligence and analytics solutions tailored for cloud data warehouses. Founded in 2014 and based in San Francisco, California, the company aims to provide self-service analytics that is accessible to all users, from data teams to analysts and domain experts. Its innovative Sigma Spreadsheet interface allows individuals to analyze data without the need for coding or data extraction, facilitating quick, insight-driven decision-making. By fostering an iterative and community-driven approach to analytics and business intelligence, Sigma Computing aligns business objectives with analytical processes, enabling data experts to concentrate on more innovative and rewarding projects.

ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

Alation, Inc. is a company that specializes in data intelligence solutions, providing an AI-driven platform designed for data search and discovery, governance, stewardship, and analytics. Founded in 2012 and headquartered in Redwood City, California, Alation aims to enhance the way organizations find, understand, and trust their data. Its innovative platform integrates machine learning with human collaboration to facilitate confident data-driven decisions. Alation's offerings include a data catalog that supports metadata management and self-service analytics, enabling users to understand data origins, usage, and governance. The company serves a diverse range of clients, including notable organizations such as the City of San Diego, eBay, Munich Re, and Pfizer, and is backed by several venture capital firms.

Dataiku is a software company that provides a centralized data platform designed to assist businesses in navigating their data journey, from analytics to enterprise artificial intelligence. Founded in 2013 and headquartered in New York, with offices in Paris and London, Dataiku offers its main product, Data Science Studio (DSS), which enables teams of data scientists, analysts, and engineers to collaboratively explore, prepare, and analyze data. The platform features tools for data profiling, interactive visualization, and machine learning deployment, allowing organizations to build and manage custom data products efficiently. Dataiku serves a diverse clientele, including major companies like Unilever and GE, by facilitating data-driven decision-making and fostering innovation through a controlled and collaborative environment. The platform aims to streamline the process of extracting value from data, empowering teams to work more effectively and creatively.

ThoughtSpot, Inc. is a business intelligence and analytics platform that specializes in search-driven analytics for enterprises. Founded in 2012 and headquartered in Sunnyvale, California, the company enables users to explore, analyze, and share real-time business data through an intuitive search interface. This platform connects seamlessly with various data sources, including on-premise, cloud, and big data systems, allowing businesses to generate insights quickly and efficiently. ThoughtSpot's AI-driven technology is designed to empower users at all levels to make data-driven decisions, significantly reducing reporting backlogs and facilitating rapid decision-making. The company serves a diverse range of sectors, including retail, healthcare, and financial services, and boasts a global presence with offices in multiple countries. ThoughtSpot's mission is to democratize data analytics, making it accessible to a wide audience of users.

Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.

DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.