Redpoint Ventures

Cyberhaven is a data security company focused on enhancing the protection of sensitive information from theft and misuse. The company's innovative platform utilizes advanced data tracing technology to analyze billions of events related to each piece of data, allowing for a comprehensive understanding and classification of sensitive information. This capability enables Cyberhaven to protect a wider range of data types in various forms as they move across networks. By assessing internal actions within enterprises, the platform identifies risky behaviors and practices, helping to prevent security breaches. Additionally, it provides full-context data tracing to minimize false positives and negatives, thereby streamlining incident response investigations. Overall, Cyberhaven aims to simplify and strengthen enterprise security, ensuring that organizations can safeguard their critical information effectively.

Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.

Cyberhaven is a data security company focused on enhancing the protection of sensitive information from theft and misuse. The company's innovative platform utilizes advanced data tracing technology to analyze billions of events related to each piece of data, allowing for a comprehensive understanding and classification of sensitive information. This capability enables Cyberhaven to protect a wider range of data types in various forms as they move across networks. By assessing internal actions within enterprises, the platform identifies risky behaviors and practices, helping to prevent security breaches. Additionally, it provides full-context data tracing to minimize false positives and negatives, thereby streamlining incident response investigations. Overall, Cyberhaven aims to simplify and strengthen enterprise security, ensuring that organizations can safeguard their critical information effectively.

Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.

0xScope specializes in developing graph protocol software that efficiently and cost-effectively organizes data. The platform translates scattered web-three data into a structured knowledge graph, providing users with enhanced due diligence capabilities, advanced address clustering tools, transaction tracking, live event alerts, and financial risk management. This approach allows for improved data accessibility and analysis, facilitating better decision-making in various financial contexts.

Cyera is a data security company focused on enhancing the protection of sensitive information within organizations. The company provides a platform that automatically discovers and classifies data, ensuring that businesses have a clear understanding of their data landscape and the associated risks. By applying continuous controls, Cyera enables organizations to manage exposure effectively and maintain compliance while fostering a resilient security posture. This data-centric approach empowers security teams to quickly identify vulnerabilities and take immediate action to remediate potential threats. With support from prominent investors, Cyera aims to redefine data security practices for businesses operating in the cloud, helping them achieve transformative outcomes through effective data management.

DragonflyDB is the fastest memory store in the universe.

Monte Carlo is a software company that provides a digital data reliability platform designed to monitor data integrity and alert users to missing or inaccurate information. Founded in 2019 by Barr Moses and Lior Gavish, and headquartered in San Francisco, California, the company aims to enhance trust in data by eliminating data downtime. By addressing data issues, Monte Carlo empowers organizations to strengthen their data teams and gain valuable insights, ultimately allowing them to avoid reliance on unreliable data and reduce time spent on data-related crises. The company's mission is to accelerate the global adoption of data by mitigating the challenges associated with data reliability.

Cyberhaven is a data security company focused on enhancing the protection of sensitive information from theft and misuse. The company's innovative platform utilizes advanced data tracing technology to analyze billions of events related to each piece of data, allowing for a comprehensive understanding and classification of sensitive information. This capability enables Cyberhaven to protect a wider range of data types in various forms as they move across networks. By assessing internal actions within enterprises, the platform identifies risky behaviors and practices, helping to prevent security breaches. Additionally, it provides full-context data tracing to minimize false positives and negatives, thereby streamlining incident response investigations. Overall, Cyberhaven aims to simplify and strengthen enterprise security, ensuring that organizations can safeguard their critical information effectively.

Databento offers a streamlined platform for accessing financial market data, founded by professionals with backgrounds in trading and engineering from leading quantitative hedge funds. The company provides a self-service model that allows users to access live exchange feeds and vast amounts of historical data efficiently. Clients can choose between a pay-as-you-go system or flat-rate pricing, providing flexibility based on their needs. By hosting servers in colocation facilities at various trading venues, Databento ensures low-latency and high-fidelity data capture directly from the source. Its platform also automates data licensing and reduces onboarding time, making it easier for businesses and financial institutions to obtain reliable, institutional-grade data while minimizing storage costs.

Cascade is a company that provides a cloud-based analysis toolkit aimed at assisting operations teams in automating their data workflows. The toolkit offers a range of functions, including data cleaning, regressions, correlations, and predictions. By enabling clients to import data and execute analytical processes, Cascade allows users to analyze and publish their methodologies, facilitating collaboration and enabling others to borrow or build upon their work.

Oushu is a prominent provider of big data and AI-based platform software, specializing in the development of database solutions designed to manage large datasets. The company’s software is powered by Apache HAWQ, which allows for a combination of high performance and scalability. This enables users to efficiently interact with significant volumes of data, supporting businesses in their data-driven decision-making processes. Oushu's innovative approach aims to revolutionize enterprise databases for a modern technological landscape.

Monte Carlo is a software company that provides a digital data reliability platform designed to monitor data integrity and alert users to missing or inaccurate information. Founded in 2019 by Barr Moses and Lior Gavish, and headquartered in San Francisco, California, the company aims to enhance trust in data by eliminating data downtime. By addressing data issues, Monte Carlo empowers organizations to strengthen their data teams and gain valuable insights, ultimately allowing them to avoid reliance on unreliable data and reduce time spent on data-related crises. The company's mission is to accelerate the global adoption of data by mitigating the challenges associated with data reliability.

It is a high-tech enterprise integrating research and development, application and service for the GIS field. It has Grade A surveying and mapping qualifications, focusing on land and real estate data management services and agricultural and rural areas. The natural resource information solution, the core team from the Autodesk development and management team, has many years of experience in 2/3D graphics and software and data distribution processing.

WakeData is a provider of comprehensive big data services designed for offline enterprises. The company specializes in integrating online and offline data to enhance operational efficiency and facilitate digital transformation for its clients. By leveraging technologies such as WiFi probes, camera face recognition, and user online behavior analysis, WakeData enables businesses to optimize their customer management and marketing strategies. This approach shifts enterprise IT from merely supporting business operations to driving them, transforming traditional marketing methods into targeted digital campaigns. Through its innovative solutions, WakeData aims to unlock the full value of offline data, contributing to more effective decision-making and management in the retail sector.

Kyligence Inc. is a data intelligence company that offers big data analytics products powered by Apache Kylin, an open source OLAP engine built for interactive analytics of petabyte-scale data on Hadoop. Founded in 2016 by creators of Apache Kylin, Kyligence focuses on Big Data technologies and innovation, offering next-generation data warehouse and business intelligence solution on top of Hadoop from on-premises to the cloud.

Monte Carlo is a software company that provides a digital data reliability platform designed to monitor data integrity and alert users to missing or inaccurate information. Founded in 2019 by Barr Moses and Lior Gavish, and headquartered in San Francisco, California, the company aims to enhance trust in data by eliminating data downtime. By addressing data issues, Monte Carlo empowers organizations to strengthen their data teams and gain valuable insights, ultimately allowing them to avoid reliance on unreliable data and reduce time spent on data-related crises. The company's mission is to accelerate the global adoption of data by mitigating the challenges associated with data reliability.

Transform is a centralized metrics store designed for data analysts to provide accurate and timely insights. This platform serves as a repository for metric definitions in code and facilitates life-cycle management, ensuring data accessibility across various tools in the modern data ecosystem. By making data trustworthy, Transform enables users to uncover relevant insights and context, ensuring that teams can collaborate effectively and make informed decisions. The platform also allows for seamless integration of data into downstream systems, bridging the gap between data providers and users, and enhancing the overall data analytics experience.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

WakeData is a provider of comprehensive big data services designed for offline enterprises. The company specializes in integrating online and offline data to enhance operational efficiency and facilitate digital transformation for its clients. By leveraging technologies such as WiFi probes, camera face recognition, and user online behavior analysis, WakeData enables businesses to optimize their customer management and marketing strategies. This approach shifts enterprise IT from merely supporting business operations to driving them, transforming traditional marketing methods into targeted digital campaigns. Through its innovative solutions, WakeData aims to unlock the full value of offline data, contributing to more effective decision-making and management in the retail sector.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Transform is a centralized metrics store designed for data analysts to provide accurate and timely insights. This platform serves as a repository for metric definitions in code and facilitates life-cycle management, ensuring data accessibility across various tools in the modern data ecosystem. By making data trustworthy, Transform enables users to uncover relevant insights and context, ensuring that teams can collaborate effectively and make informed decisions. The platform also allows for seamless integration of data into downstream systems, bridging the gap between data providers and users, and enhancing the overall data analytics experience.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Kyligence Inc. is a data intelligence company that offers big data analytics products powered by Apache Kylin, an open source OLAP engine built for interactive analytics of petabyte-scale data on Hadoop. Founded in 2016 by creators of Apache Kylin, Kyligence focuses on Big Data technologies and innovation, offering next-generation data warehouse and business intelligence solution on top of Hadoop from on-premises to the cloud.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Oushu is a prominent provider of big data and AI-based platform software, specializing in the development of database solutions designed to manage large datasets. The company’s software is powered by Apache HAWQ, which allows for a combination of high performance and scalability. This enables users to efficiently interact with significant volumes of data, supporting businesses in their data-driven decision-making processes. Oushu's innovative approach aims to revolutionize enterprise databases for a modern technological landscape.

TruSignal, LLC, based in St. Cloud, Minnesota, specializes in digital marketing services, focusing on people-based marketing technology for Fortune 500 brands, agencies, and publishers. As a subsidiary of TransUnion, TruSignal leverages predictive scoring and artificial intelligence to transform large data sets into actionable insights for personalized marketing. The company's TruAudience Platform integrates a deterministic identity graph, extensive third-party data, and advanced machine learning algorithms. This platform enables clients to identify and target the most relevant audiences effectively, optimize bidding strategies for digital impressions, and facilitate audience expansion and custom audience creation. By utilizing cross-channel ID matching and robust integration APIs, TruSignal aims to deliver measurable business growth through enhanced marketing initiatives.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Kyligence Inc. is a data intelligence company that offers big data analytics products powered by Apache Kylin, an open source OLAP engine built for interactive analytics of petabyte-scale data on Hadoop. Founded in 2016 by creators of Apache Kylin, Kyligence focuses on Big Data technologies and innovation, offering next-generation data warehouse and business intelligence solution on top of Hadoop from on-premises to the cloud.

Oushu is a prominent provider of big data and AI-based platform software, specializing in the development of database solutions designed to manage large datasets. The company’s software is powered by Apache HAWQ, which allows for a combination of high performance and scalability. This enables users to efficiently interact with significant volumes of data, supporting businesses in their data-driven decision-making processes. Oushu's innovative approach aims to revolutionize enterprise databases for a modern technological landscape.

Looker is an enterprise platform specializing in business intelligence, data applications, and embedded analytics. It offers a cloud-based solution that integrates data into daily workflows, allowing businesses to derive actionable insights and make data-driven decisions. By transcending traditional business intelligence methods, Looker enables companies to infuse data into their operational processes, creating new value streams and enhancing productivity. The platform supports various functions, including digital marketing analytics and web event analytics, empowering organizations to unlock the full potential of their data. Looker is now part of Google Cloud, enhancing its capabilities and reach in the data analytics landscape.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Kyligence Inc. is a data intelligence company that offers big data analytics products powered by Apache Kylin, an open source OLAP engine built for interactive analytics of petabyte-scale data on Hadoop. Founded in 2016 by creators of Apache Kylin, Kyligence focuses on Big Data technologies and innovation, offering next-generation data warehouse and business intelligence solution on top of Hadoop from on-premises to the cloud.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Looker is an enterprise platform specializing in business intelligence, data applications, and embedded analytics. It offers a cloud-based solution that integrates data into daily workflows, allowing businesses to derive actionable insights and make data-driven decisions. By transcending traditional business intelligence methods, Looker enables companies to infuse data into their operational processes, creating new value streams and enhancing productivity. The platform supports various functions, including digital marketing analytics and web event analytics, empowering organizations to unlock the full potential of their data. Looker is now part of Google Cloud, enhancing its capabilities and reach in the data analytics landscape.

Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a data lake engine that enhances the efficiency of data analytics. The platform allows users to execute SQL queries directly against data stored in lakes, eliminating the need for traditional data warehouses. By providing tools that streamline and curate data, Dremio accelerates analytical processes for business intelligence, data science, and machine learning applications. Its self-service capabilities empower data engineers, analysts, and scientists to work more productively and independently. Dremio's innovative approach facilitates faster access to insights, enabling organizations to derive greater value from their data without the complexities of data movement or transformation.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Looker is an enterprise platform specializing in business intelligence, data applications, and embedded analytics. It offers a cloud-based solution that integrates data into daily workflows, allowing businesses to derive actionable insights and make data-driven decisions. By transcending traditional business intelligence methods, Looker enables companies to infuse data into their operational processes, creating new value streams and enhancing productivity. The platform supports various functions, including digital marketing analytics and web event analytics, empowering organizations to unlock the full potential of their data. Looker is now part of Google Cloud, enhancing its capabilities and reach in the data analytics landscape.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Intent is a data science company that specializes in providing predictive intelligence solutions for leading online travel and commerce brands. Its patented technology enables real-time predictions of user behavior and assesses the future value of each user. Over 450 brands, including well-known names such as Priceline, Expedia, and TripAdvisor, rely on Intent's predictions to enhance user experiences and optimize return on investment. The company has established itself as a key player in the industry, focusing on delivering personalized services that meet the evolving needs of consumers in the online marketplace.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Looker is an enterprise platform specializing in business intelligence, data applications, and embedded analytics. It offers a cloud-based solution that integrates data into daily workflows, allowing businesses to derive actionable insights and make data-driven decisions. By transcending traditional business intelligence methods, Looker enables companies to infuse data into their operational processes, creating new value streams and enhancing productivity. The platform supports various functions, including digital marketing analytics and web event analytics, empowering organizations to unlock the full potential of their data. Looker is now part of Google Cloud, enhancing its capabilities and reach in the data analytics landscape.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Beijing second hand information company (秒针信息) is a provider and evaluator of digital advertising solutions through cloud computing, cloud storage, and artificial intelligence technology. It is also the first digital advertising effect evaluation enterprise specializing in target audiences in China. Founded in 2006, Beijing second hand information company solves the problem of contact effect of online advertisement by arrival rate, effective frequency, internet gross rating points, audience features, and provides an inter-media effect evaluation and optimization tool.

Quantifind, Inc. is a data science company that specializes in creating on-demand insights platforms aimed at enhancing marketing effectiveness and detecting financial crimes such as money laundering and fraud. Founded in 2008 by two Ph.D. graduates in atomic physics, the company offers several key products, including signum Analysis, which helps users assess performance drivers for brands and competitors; signum Voice, which focuses on revenue drivers; and signum Impact, which measures the effects of sponsorships on brand awareness and sales. Additionally, Quantifind's platform integrates internal financial institution data with public domain data to identify risks, thereby assisting financial crime analysts in minimizing false positive alerts and managing risk. The company serves various sectors, including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecommunications, and has established a strategic partnership with Oracle Financial Services. Quantifind is headquartered in Menlo Park, California, with additional offices in Silicon Valley, New York, and Washington, D.C.

Intent is a data science company that specializes in providing predictive intelligence solutions for leading online travel and commerce brands. Its patented technology enables real-time predictions of user behavior and assesses the future value of each user. Over 450 brands, including well-known names such as Priceline, Expedia, and TripAdvisor, rely on Intent's predictions to enhance user experiences and optimize return on investment. The company has established itself as a key player in the industry, focusing on delivering personalized services that meet the evolving needs of consumers in the online marketplace.

Beijing second hand information company (秒针信息) is a provider and evaluator of digital advertising solutions through cloud computing, cloud storage, and artificial intelligence technology. It is also the first digital advertising effect evaluation enterprise specializing in target audiences in China. Founded in 2006, Beijing second hand information company solves the problem of contact effect of online advertisement by arrival rate, effective frequency, internet gross rating points, audience features, and provides an inter-media effect evaluation and optimization tool.

MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.

Beijing second hand information company (秒针信息) is a provider and evaluator of digital advertising solutions through cloud computing, cloud storage, and artificial intelligence technology. It is also the first digital advertising effect evaluation enterprise specializing in target audiences in China. Founded in 2006, Beijing second hand information company solves the problem of contact effect of online advertisement by arrival rate, effective frequency, internet gross rating points, audience features, and provides an inter-media effect evaluation and optimization tool.

Datameer, Inc. is a data analytics company based in San Francisco, California, specializing in applications designed for big data environments, particularly Hadoop. Founded in 2009, Datameer provides a range of products including data integration, analytics, and visualization tools that cater to industries such as financial services, healthcare, gaming, retail, telecommunications, and technology. Its platform allows data engineers and analysts to model and transform data directly within cloud data warehouses through simple SQL or no-code interfaces, facilitating complex analytical projects. Notable offerings include Datameer X for data preparation and exploration, Neebo for managing trusted information assets, and Smart Analytics for advanced analytical functions. The company's focus on accessibility enables collaboration between non-coders and technical users, streamlining the analytics process for large datasets.

OuterBay Technologies, Inc. specializes in information lifecycle management solutions for applications and databases, assisting organizations in effectively monitoring, forecasting, and managing data growth within enterprise environments. Founded in 1997 and headquartered in Cupertino, California, the company provides a range of services including application resource monitoring, data growth analysis, policy management, and database archiving to ensure long-term data retention and compliance with governance and regulatory standards. Additionally, OuterBay offers solutions for database subsetting and data growth monitoring. The company operates additional offices in the United States, the United Kingdom, and India, enhancing its ability to serve a global clientele. In 2006, OuterBay Technologies was acquired by Hewlett-Packard Co.

Kazeon Systems, Inc. develops and provides electronic discovery solutions in the United States. It offers eDiscovery/litigation support, information security and privacy, governance, and risk and compliance solutions, as well as support and educational services for remote devices over corporate IP networks, VPN networks, and wireless and wired networks. The company also provides Information Center, which helps customers turn their data center into an information center; and Information Server, a software that automates eDiscovery functions from identification, collection through processing, preservation, analysis and review for corporations, service providers, and law firms. In addition, it offers a suite of storage optimization solutions, including data consolidation, migration and archival, file reporting, and backup search. The company was founded in 2003 and is based in Mountain View, California. As of September 30, 2009, Kazeon Systems, Inc. operates as a subsidiary of EMC Corporation.

Digital Evolution is a provider of Web Services Management and Security solutions. The company's products and services provide organizations with the ability to take advantage of XML and Web Services in distributed computing environments while ensuring the performance, efficiency and security of an enterprise Web services infrastructure. The company is headquartered in Santa Monica, California, with sales offices in Boston, New York City, and San Francisco.

Digital Evolution is a provider of Web Services Management and Security solutions. The company's products and services provide organizations with the ability to take advantage of XML and Web Services in distributed computing environments while ensuring the performance, efficiency and security of an enterprise Web services infrastructure. The company is headquartered in Santa Monica, California, with sales offices in Boston, New York City, and San Francisco.

OuterBay Technologies, Inc. specializes in information lifecycle management solutions for applications and databases, assisting organizations in effectively monitoring, forecasting, and managing data growth within enterprise environments. Founded in 1997 and headquartered in Cupertino, California, the company provides a range of services including application resource monitoring, data growth analysis, policy management, and database archiving to ensure long-term data retention and compliance with governance and regulatory standards. Additionally, OuterBay offers solutions for database subsetting and data growth monitoring. The company operates additional offices in the United States, the United Kingdom, and India, enhancing its ability to serve a global clientele. In 2006, OuterBay Technologies was acquired by Hewlett-Packard Co.

OuterBay Technologies, Inc. specializes in information lifecycle management solutions for applications and databases, assisting organizations in effectively monitoring, forecasting, and managing data growth within enterprise environments. Founded in 1997 and headquartered in Cupertino, California, the company provides a range of services including application resource monitoring, data growth analysis, policy management, and database archiving to ensure long-term data retention and compliance with governance and regulatory standards. Additionally, OuterBay offers solutions for database subsetting and data growth monitoring. The company operates additional offices in the United States, the United Kingdom, and India, enhancing its ability to serve a global clientele. In 2006, OuterBay Technologies was acquired by Hewlett-Packard Co.

OuterBay Technologies, Inc. specializes in information lifecycle management solutions for applications and databases, assisting organizations in effectively monitoring, forecasting, and managing data growth within enterprise environments. Founded in 1997 and headquartered in Cupertino, California, the company provides a range of services including application resource monitoring, data growth analysis, policy management, and database archiving to ensure long-term data retention and compliance with governance and regulatory standards. Additionally, OuterBay offers solutions for database subsetting and data growth monitoring. The company operates additional offices in the United States, the United Kingdom, and India, enhancing its ability to serve a global clientele. In 2006, OuterBay Technologies was acquired by Hewlett-Packard Co.