Redpoint Ventures

Cyberhaven, Inc., established in 2014 and headquartered in Boston, Massachusetts, specializes in enterprise cybersecurity. The company's core offering is a Data Detection and Response platform designed to safeguard intellectual property from theft and insider threats. This platform assesses internal actions across an organization, identifying risky behaviors before they result in a breach. It provides full-context data tracing to minimize false positives and negatives, and accelerates incident response investigations, enabling clients to protect their data efficiently. Cyberhaven's technology covers the protection of sensitive documents across various platforms, including Office 365, on-premise SharePoint, and Google Apps. The company operates globally with additional offices in Palo Alto, California; Lausanne, Switzerland; and Kiev, Ukraine.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Cyberhaven, Inc., established in 2014 and headquartered in Boston, Massachusetts, specializes in enterprise cybersecurity. The company's core offering is a Data Detection and Response platform designed to safeguard intellectual property from theft and insider threats. This platform assesses internal actions across an organization, identifying risky behaviors before they result in a breach. It provides full-context data tracing to minimize false positives and negatives, and accelerates incident response investigations, enabling clients to protect their data efficiently. Cyberhaven's technology covers the protection of sensitive documents across various platforms, including Office 365, on-premise SharePoint, and Google Apps. The company operates globally with additional offices in Palo Alto, California; Lausanne, Switzerland; and Kiev, Ukraine.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

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 that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

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, Inc., established in 2014 and headquartered in Boston, Massachusetts, specializes in enterprise cybersecurity. The company's core offering is a Data Detection and Response platform designed to safeguard intellectual property from theft and insider threats. This platform assesses internal actions across an organization, identifying risky behaviors before they result in a breach. It provides full-context data tracing to minimize false positives and negatives, and accelerates incident response investigations, enabling clients to protect their data efficiently. Cyberhaven's technology covers the protection of sensitive documents across various platforms, including Office 365, on-premise SharePoint, and Google Apps. The company operates globally with additional offices in Palo Alto, California; Lausanne, Switzerland; and Kiev, Ukraine.

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.

Shanghai Feiwei is a high-tech enterprise specializing in geographical information solutions tailored for agricultural land, natural resource management, and real estate. It integrates research and development, application, and service within the Geographic Information System (GIS) sector. The company holds Grade A surveying and mapping qualifications and aims to deliver professional software products and mapping services to both enterprises and government agencies. Its core team, composed of experienced professionals from the Autodesk development and management team, brings extensive expertise in 2D and 3D graphics, as well as software and data distribution processing, ensuring effective land and real estate data management solutions.

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 established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

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.

Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Looker is an enterprise platform specializing in business intelligence, data applications, and embedded analytics, aimed at enhancing data-driven decision-making for businesses. By integrating data into daily workflows, Looker enables organizations to derive actionable insights that drive operational efficiency and create new value streams. The platform supports various functions, including digital marketing analytics and web event analytics, allowing businesses to unlock the full potential of their data at scale. As part of Google Cloud, Looker continues to evolve its offerings, focusing on delivering meaningful insights at critical decision points and embedding data seamlessly into products and workflows.

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 established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

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.

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 established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

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, aimed at enhancing data-driven decision-making for businesses. By integrating data into daily workflows, Looker enables organizations to derive actionable insights that drive operational efficiency and create new value streams. The platform supports various functions, including digital marketing analytics and web event analytics, allowing businesses to unlock the full potential of their data at scale. As part of Google Cloud, Looker continues to evolve its offerings, focusing on delivering meaningful insights at critical decision points and embedding data seamlessly into products and workflows.

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 established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive 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, aimed at enhancing data-driven decision-making for businesses. By integrating data into daily workflows, Looker enables organizations to derive actionable insights that drive operational efficiency and create new value streams. The platform supports various functions, including digital marketing analytics and web event analytics, allowing businesses to unlock the full potential of their data at scale. As part of Google Cloud, Looker continues to evolve its offerings, focusing on delivering meaningful insights at critical decision points and embedding data seamlessly into products and workflows.

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, aimed at enhancing data-driven decision-making for businesses. By integrating data into daily workflows, Looker enables organizations to derive actionable insights that drive operational efficiency and create new value streams. The platform supports various functions, including digital marketing analytics and web event analytics, allowing businesses to unlock the full potential of their data at scale. As part of Google Cloud, Looker continues to evolve its offerings, focusing on delivering meaningful insights at critical decision points and embedding data seamlessly into products and workflows.

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. Utilizing patented technology, Intent's platform predicts user behavior in real-time and assesses the future value of individual users. The company has gained the trust of over 450 innovative brands, including major names such as Priceline, Expedia, and TripAdvisor, enabling them to deliver personalized user experiences that enhance utility and return on investment. By focusing on real-time predictions, Intent aims to optimize engagement and value for its partners in the competitive online marketplace.

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.

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, aimed at enhancing data-driven decision-making for businesses. By integrating data into daily workflows, Looker enables organizations to derive actionable insights that drive operational efficiency and create new value streams. The platform supports various functions, including digital marketing analytics and web event analytics, allowing businesses to unlock the full potential of their data at scale. As part of Google Cloud, Looker continues to evolve its offerings, focusing on delivering meaningful insights at critical decision points and embedding data seamlessly into products and workflows.

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.

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. Utilizing patented technology, Intent's platform predicts user behavior in real-time and assesses the future value of individual users. The company has gained the trust of over 450 innovative brands, including major names such as Priceline, Expedia, and TripAdvisor, enabling them to deliver personalized user experiences that enhance utility and return on investment. By focusing on real-time predictions, Intent aims to optimize engagement and value for its partners in the competitive 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.

Kazeon Systems, Inc. is a provider of electronic discovery solutions based in Mountain View, California. Founded in 2003, the company offers a range of services including litigation support, information security, governance, and risk and compliance solutions. It also provides support and educational services for remote devices across various network types. Kazeon's Information Center assists clients in transforming their data centers into information centers, while its Information Server software automates the eDiscovery process, covering functions from identification and collection to analysis and review. Additionally, the company offers storage optimization solutions, including data consolidation, migration, archival, and backup search. As of 2009, Kazeon operates as a subsidiary of EMC Corporation.

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. is a provider of electronic discovery solutions based in Mountain View, California. Founded in 2003, the company offers a range of services including litigation support, information security, governance, and risk and compliance solutions. It also provides support and educational services for remote devices across various network types. Kazeon's Information Center assists clients in transforming their data centers into information centers, while its Information Server software automates the eDiscovery process, covering functions from identification and collection to analysis and review. Additionally, the company offers storage optimization solutions, including data consolidation, migration, archival, and backup search. As of 2009, Kazeon 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.