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.
dbt Labs, founded in 2016 and based in Philadelphia, operates a software-as-a-service platform that specializes in open-source data engineering. The company's primary offering, the data build tool (dbt), empowers data analysts and engineers to organize, cleanse, and transform data for analysis using SQL. This platform facilitates data modeling, event tracking, and KPI measurement, enabling users to build efficient data transformation workflows. In addition to its core software, dbt Labs provides training and consulting services in data analytics, supporting organizations in leveraging their data more effectively. Through its mission to enhance the creation and dissemination of organizational knowledge, dbt Labs positions itself as a vital resource for businesses seeking to improve their data analytics capabilities.
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.
Habu is a marketing data operating system that helps brands enhance their first-party data while prioritizing privacy. The company's modular platform is designed to integrate with existing marketing technologies, including legacy systems, allowing marketers to avoid additional investments in new platforms. Habu enables brands to establish a robust data foundation, uncover actionable insights, and deliver personalized marketing across multiple channels. With its focus on automated privacy compliance, Habu supports clients in navigating the complexities of data management in a privacy-conscious environment. The company is headquartered in San Francisco and has additional offices in Boston and New York.
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.
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