Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.
Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.
Databento is a Boston-based platform founded in 2019 that specializes in providing institutional-quality market and alternative data. The company focuses on delivering both live and historical data through its colocation platform, which simplifies and accelerates access to this information. By automating data licensing processes, Databento significantly reduces onboarding time, allowing clients to efficiently capture and utilize high-fidelity financial data directly from the source. This capability enables businesses and financial institutions to access real-time exchange feeds and vast amounts of historical data while minimizing storage costs and avoiding latency issues.
ClickHouse is an open-source, column-oriented online analytical processing (OLAP) database management system that enables users to generate real-time analytical reports using SQL queries. The system is designed for high-performance query processing, allowing enterprises to handle large volumes of data efficiently. By reducing storage requirements and processing significant amounts of data within short timeframes, ClickHouse offers a secure, reliable, and scalable solution for data management. This capability is particularly beneficial for organizations seeking to optimize their data analytics and streamline data processing workflows.
Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.
Oushu is a leading provider of big data and AI-based platform software, dedicated to providing a new generation of enterprise databases.
Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.
Dune Analytics AS is a data analytics platform focused on blockchain research, particularly for the Ethereum network. Founded in 2018 and based in Oslo, Norway, the company offers tools that enable users to query, extract, and visualize extensive data from the Ethereum blockchain. Its community-driven approach allows users to collaborate and share insights, making it a valuable resource for researchers, developers, and analysts in the blockchain space.
WakeData is committed to being a great offline big data service company. The company creatively brings the efficient operation concept of Internet company data driven to offline enterprise customers. Open up the online and offline data, fully tap the value of offline data, from the two dimensions of data assetization and data value, to empower the enterprise digital transformation, and provide one-stop customer business big data solutions. Help enterprise IT from business support to business drive, help enterprise marketing from traditional Guangpu marketing to targeted digital marketing, and realize the "digital operation and quantitative management" of enterprise customer management.
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 based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.
Developer of a data analytics platform designed to query and build metrics out of data troves. The company's platform works with data to generate insights and analytics about different actions around a product to bridge the gap between those who know the data and those who need the data, enabling companies to seamlessly pipe data to downstream systems.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Supremind is a Chinese company specializing in AI-based video big data analysis. It develops advanced video analysis technology that leverages machine learning and artificial intelligence to enhance the interpretation of video content. Its applications include the recognition of individuals involved in traffic incidents and the identification of potentially harmful content on the internet. By providing tools that enable more precise analysis of video data, Supremind aims to improve safety and security across various sectors.
WakeData is committed to being a great offline big data service company. The company creatively brings the efficient operation concept of Internet company data driven to offline enterprise customers. Open up the online and offline data, fully tap the value of offline data, from the two dimensions of data assetization and data value, to empower the enterprise digital transformation, and provide one-stop customer business big data solutions. Help enterprise IT from business support to business drive, help enterprise marketing from traditional Guangpu marketing to targeted digital marketing, and realize the "digital operation and quantitative management" of enterprise customer management.
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Developer of a data analytics platform designed to query and build metrics out of data troves. The company's platform works with data to generate insights and analytics about different actions around a product to bridge the gap between those who know the data and those who need the data, enabling companies to seamlessly pipe data to downstream systems.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.
Supremind is a Chinese company specializing in AI-based video big data analysis. It develops advanced video analysis technology that leverages machine learning and artificial intelligence to enhance the interpretation of video content. Its applications include the recognition of individuals involved in traffic incidents and the identification of potentially harmful content on the internet. By providing tools that enable more precise analysis of video data, Supremind aims to improve safety and security across various sectors.
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 Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
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.
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.
DeepMotion is an autonomous driving solution provider based in Beijing, China, founded in 2017. The company specializes in developing advanced driver assistance systems (ADAS) aimed at enhancing vehicle safety and navigation. Its primary products include the DeepMotion Client, an intelligent ADAS device offering features such as lane departure warning, pedestrian detection, and collision warning, with localization accuracy of 10 centimeters achieved without relying on RTK technology. Additionally, DeepMotion Cloud integrates and processes extensive data from crowdsourced DM-100 devices to create consistent 3D semantic maps, further supporting its autonomous driving capabilities.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Oushu is a leading provider of big data and AI-based platform software, dedicated to providing a new generation of enterprise databases.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.
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 leading provider of big data and AI-based platform software, dedicated to providing a new generation of enterprise databases.
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.
Laserlike is a computer software company that develops a web-scale content search, discovery, and personalization platform. The company's mission is to provide high-quality information and diverse perspectives on various topics sourced from across the web. Utilizing advanced machine learning techniques, Laserlike's platform enables users to receive timely and relevant updates on subjects they care about, incorporating a range of content types including news, web articles, videos, and local information. This approach aims to enhance the user's experience by delivering personalized content tailored to individual interests.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
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 AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.
Developer of a medical laboratory results analysis platform intended for medical and pharmaceutical organizations. The company's medical laboratory results analysis platform offers a technology that scans and analyzes medical documents such as laboratory test results and also store user's medical records, enabling clients to get fast, timely and more accurate diagnostic services.
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.
Cuberon is a customer behavior analytics company based in Sunnyvale, California, founded in 2015 by Abhishek Gattani and Digvijay Singh Lamba. The company develops a customer intelligence platform designed to help product and marketing teams discover, analyze, and visualize customer behaviors that influence business metrics. By leveraging machine intelligence, Cuberon's platform simplifies and automates complex tasks related to understanding customer behavior. This enables business users to formulate and answer questions without the need for expertise in query languages or data sciences, making insights more accessible and actionable.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.
Developer of a medical laboratory results analysis platform intended for medical and pharmaceutical organizations. The company's medical laboratory results analysis platform offers a technology that scans and analyzes medical documents such as laboratory test results and also store user's medical records, enabling clients to get fast, timely and more accurate diagnostic services.
Infer, Inc. provides cloud-based applications designed to enhance customer acquisition for Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management (CRM) systems alongside various external signals from the web, such as company size and job openings. This approach enables businesses to identify leads with the highest likelihood of conversion, allowing sales teams to prioritize their efforts on the most promising opportunities. By integrating seamlessly with existing systems, Infer facilitates quick deployment and helps organizations uncover hidden prospects and maximize their marketing and sales strategies. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.
Snowflake Inc. is a cloud-based data platform that enables organizations to consolidate data into a single source of truth, facilitating meaningful business insights and the development of data-driven applications. Founded in 2012 and headquartered in San Mateo, California, Snowflake offers a data warehouse-as-a-service designed specifically for the cloud. Its innovative architecture allows multiple users to access large volumes of data simultaneously, achieving performance that is significantly faster and more cost-effective than traditional solutions. The platform supports various data workloads and combines the capabilities of data warehousing with the flexibility of big data platforms, ensuring secure and governed access to an extensive network of data. Additionally, Snowflake Ventures invests in growth-stage companies that align with its mission to enhance data utilization and expand opportunities within the Data Cloud.
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Infer, Inc. provides cloud-based applications designed to enhance customer acquisition for Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management (CRM) systems alongside various external signals from the web, such as company size and job openings. This approach enables businesses to identify leads with the highest likelihood of conversion, allowing sales teams to prioritize their efforts on the most promising opportunities. By integrating seamlessly with existing systems, Infer facilitates quick deployment and helps organizations uncover hidden prospects and maximize their marketing and sales strategies. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
eBureau, LLC is a provider of big data and predictive analytic solutions tailored for both business-to-consumer and business-to-business sectors. Founded in 2004 and based in St. Cloud, Minnesota, the company offers a range of services designed to enhance decision-making throughout the customer lifecycle. These services include eScore for developing customized statistical scores, eVerify for verifying consumer identity, and eTarget for appending information to customer records. Additionally, eBureau provides eLink for account monitoring, eMonitor for visualizing transactional data, and eAuthenticate for knowledge-based authentication. The company's solutions are utilized in various industries, including higher education, insurance, financial services, automotive, telecom, utilities, and retail, focusing on marketing, fraud prevention, credit risk assessments, and collections. eBureau operates as a subsidiary of TransUnion, having rebranded from xTech LLC in 2007.
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.
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
Clearwell Systems offers an enterprise-class e-discovery management platform designed to help corporations and law firms efficiently manage legal, regulatory, and investigative matters using a single application. The platform streamlines document processing, allowing users to conduct early case assessments, reduce processing costs, and minimize review workloads. It features interactive culling and filtering capabilities, enhances transparency in e-discovery searches, and organizes documents by discussion threads and concepts. This comprehensive approach ensures the defensibility of the e-discovery process, making it a valuable tool for attorneys, litigation support professionals, and forensics teams.
eBureau, LLC is a provider of big data and predictive analytic solutions tailored for both business-to-consumer and business-to-business sectors. Founded in 2004 and based in St. Cloud, Minnesota, the company offers a range of services designed to enhance decision-making throughout the customer lifecycle. These services include eScore for developing customized statistical scores, eVerify for verifying consumer identity, and eTarget for appending information to customer records. Additionally, eBureau provides eLink for account monitoring, eMonitor for visualizing transactional data, and eAuthenticate for knowledge-based authentication. The company's solutions are utilized in various industries, including higher education, insurance, financial services, automotive, telecom, utilities, and retail, focusing on marketing, fraud prevention, credit risk assessments, and collections. eBureau operates as a subsidiary of TransUnion, having rebranded from xTech LLC in 2007.
Clearwell Systems offers an enterprise-class e-discovery management platform designed to help corporations and law firms efficiently manage legal, regulatory, and investigative matters using a single application. The platform streamlines document processing, allowing users to conduct early case assessments, reduce processing costs, and minimize review workloads. It features interactive culling and filtering capabilities, enhances transparency in e-discovery searches, and organizes documents by discussion threads and concepts. This comprehensive approach ensures the defensibility of the e-discovery process, making it a valuable tool for attorneys, litigation support professionals, and forensics teams.
OuterBay Technologies specializes in providing information lifecycle management solutions aimed at applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company focuses on helping clients monitor, forecast, and manage data growth in enterprise environments. Its offerings include an application resource monitor, data growth analysis and policy management tools, and database archiving services that ensure long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and data growth monitoring solutions, catering to the evolving needs of businesses. The company also maintains offices in the United States, the United Kingdom, and India.
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.
A Milpitas, Calif.-based data storage management network, came out of stealth mode
OuterBay Technologies specializes in providing information lifecycle management solutions aimed at applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company focuses on helping clients monitor, forecast, and manage data growth in enterprise environments. Its offerings include an application resource monitor, data growth analysis and policy management tools, and database archiving services that ensure long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and data growth monitoring solutions, catering to the evolving needs of businesses. The company also maintains offices in the United States, the United Kingdom, and India.
OuterBay Technologies specializes in providing information lifecycle management solutions aimed at applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company focuses on helping clients monitor, forecast, and manage data growth in enterprise environments. Its offerings include an application resource monitor, data growth analysis and policy management tools, and database archiving services that ensure long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and data growth monitoring solutions, catering to the evolving needs of businesses. The company also maintains offices in the United States, the United Kingdom, and India.
OuterBay Technologies specializes in providing information lifecycle management solutions aimed at applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company focuses on helping clients monitor, forecast, and manage data growth in enterprise environments. Its offerings include an application resource monitor, data growth analysis and policy management tools, and database archiving services that ensure long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and data growth monitoring solutions, catering to the evolving needs of businesses. The company also maintains offices in the United States, the United Kingdom, and India.
A Milpitas, Calif.-based data storage management network, came out of stealth mode