Cyera is a technology company specializing in data security. It provides businesses with comprehensive insights into their data landscape, applying continuous controls to ensure cyber-resilience and compliance. Backed by prominent investors, Cyera empowers security teams to identify and mitigate data risks across cloud environments.
Cyera is a technology company specializing in data security. It provides businesses with comprehensive insights into their data landscape, applying continuous controls to ensure cyber-resilience and compliance. Backed by prominent investors, Cyera empowers security teams to identify and mitigate data risks across cloud environments.
0xScope
Seed Round in 2024
0xScope is a company that specializes in developing graph protocol software aimed at efficiently and cost-effectively utilizing data. Its platform transforms scattered web-three data into a structured knowledge graph, which enhances users' capabilities in due diligence, address clustering, transaction monitoring, live event alerts, and financial risk management. By organizing disparate data sources, 0xScope enables users to gain deeper insights and improve decision-making processes within the blockchain ecosystem.
Cyera is a technology company specializing in data security. It provides businesses with comprehensive insights into their data landscape, applying continuous controls to ensure cyber-resilience and compliance. Backed by prominent investors, Cyera empowers security teams to identify and mitigate data risks across cloud environments.
DragonflyDB
Seed Round in 2023
DragonflyDB is the fastest memory store in the universe.
Monte Carlo
Series D in 2022
Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo is a software company based in San Francisco. It helps organizations enhance trust in their data by eliminating and preventing data downtime through its digital data reliability platform. The platform monitors and alerts for missing or inaccurate data, empowering stronger data teams and delivering reliable insights that drive true business value.
Xata provides a serverless database platform that combines the capabilities of traditional databases with the user-friendly interface of a spreadsheet application. This service is designed to seamlessly integrate into users' development workflows, facilitating tasks such as data insertion, querying, aggregation, and searching across various development environments, including JavaScript and APIs. Xata's architecture ensures that data is automatically replicated in multiple global regions, which enhances performance by minimizing response times for end users.
Databento
Series A in 2021
Databento is a company that specializes in providing streamlined access to financial market data. Founded by experienced traders and engineers from renowned quantitative hedge funds, Databento offers a self-service platform that allows users to quickly obtain live exchange feeds and extensive historical data. The platform automates data licensing and minimizes onboarding time, making it easier for businesses and financial institutions to access high-quality, institutional-grade data directly from the source. Databento's servers are strategically located in colocation facilities at various trading venues, ensuring low-latency and reliable data capture. Users can choose between a pay-as-you-go model or flat-rate pricing, allowing them to manage costs effectively according to their data usage needs.
Cascade
Seed Round in 2021
Cascade develops a cloud-based analysis toolkit for operations teams. It offers functions ranging from data cleaning to advanced analytics like regressions and predictions, enabling collaboration and methodology sharing.
Oushu Technology
Series B in 2021
Oushu Technology is a prominent provider of big data and artificial intelligence-based platform software, specializing in the development of advanced database solutions tailored for large datasets. The company’s software, built on Apache HAWQ, offers a combination of high performance and scalability, allowing users to efficiently manage and analyze vast amounts of data. Oushu Technology is committed to delivering innovative enterprise database solutions that meet the evolving needs of businesses in a data-driven landscape.
Monte Carlo
Series C in 2021
Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo is a software company based in San Francisco. It helps organizations enhance trust in their data by eliminating and preventing data downtime through its digital data reliability platform. The platform monitors and alerts for missing or inaccurate data, empowering stronger data teams and delivering reliable insights that drive true business value.
WakeData empowers enterprises by bridging offline and online data. It offers one-stop big data solutions, combining data from WiFi probes, camera face recognition, user behavior, and store member systems to enhance operational efficiency and drive data-driven strategies.
Kyligence
Series D in 2021
Kyligence Inc. specializes in big data analytics, offering an intelligent data platform that simplifies analysis from on-premises to cloud environments. Its flagship product is the Kyligence Analytics Platform, providing sub-second query latency and simplified analytics for business users. Additionally, it offers KyBot for monitoring and optimizing performance, and Apache Kylin, an open-source distributed analytics engine supporting large datasets.
Monte Carlo
Series B in 2021
Founded in 2019 by Barr Moses and Lior Gavish, Monte Carlo is a software company based in San Francisco. It helps organizations enhance trust in their data by eliminating and preventing data downtime through its digital data reliability platform. The platform monitors and alerts for missing or inaccurate data, empowering stronger data teams and delivering reliable insights that drive true business value.
Transform
Series A in 2021
Transform is a pioneering company that operates a centralized metrics store, designed to empower data analysts by providing accurate, timely, and actionable insights. Its platform serves as a repository for metrics definitions, facilitating life-cycle management and ensuring that data is easily accessible across the modern data stack. By enabling organizations to query and build metrics from extensive data sources, Transform helps bridge the gap between data experts and decision-makers. The company focuses on enhancing data trustworthiness while uncovering valuable insights and context, ensuring that teams can align on objectives and make informed decisions efficiently.
Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.
Supremind
Seed Round in 2020
Supremind is a Chinese company specializing in intelligent video analysis. It uses artificial intelligence and machine learning to enable accurate analysis of video content, with applications including traffic incident recognition and harmful internet content detection.
WakeData empowers enterprises by bridging offline and online data. It offers one-stop big data solutions, combining data from WiFi probes, camera face recognition, user behavior, and store member systems to enhance operational efficiency and drive data-driven strategies.
DataCanvas
Series C in 2020
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and artificial intelligence practitioners. The company offers a comprehensive platform that integrates core analytical technologies in big data, AI, and machine learning. Its services are designed to facilitate the intelligent transformation and upgrade of both governmental and enterprise operations, ensuring effective development coordination and model management. By providing a complete set of development tools and support services, DataCanvas aims to enhance the capabilities of professionals in the data science and AI fields.
Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.
Transform
Seed Round in 2020
Transform is a pioneering company that operates a centralized metrics store, designed to empower data analysts by providing accurate, timely, and actionable insights. Its platform serves as a repository for metrics definitions, facilitating life-cycle management and ensuring that data is easily accessible across the modern data stack. By enabling organizations to query and build metrics from extensive data sources, Transform helps bridge the gap between data experts and decision-makers. The company focuses on enhancing data trustworthiness while uncovering valuable insights and context, ensuring that teams can align on objectives and make informed decisions efficiently.
Snowflake
Series G in 2020
Snowflake is a cloud-based data platform that enables businesses to consolidate and analyze data from various sources, build data-driven applications, and share insights securely. Its platform offers the flexibility of big data platforms and the cost-effectiveness of cloud solutions.
Datameer
Venture Round in 2019
Datameer is a data analytics platform that enables data engineers and analysts to transform and model data directly within cloud data warehouses using SQL or a no-code interface. The platform supports data preparation, integration, and analytics for large datasets, including features for ML and reporting, and aims to accelerate dataset creation and delivery while enabling collaboration between citizen data users and engineers. It offers tools for data modeling, transformation, and smart execution to optimize workloads, and provides capabilities for data discovery, visualization, and analytics across industries such as financial services, healthcare, retail, telecommunications, and tech. Founded in 2009 and based in San Francisco, Datameer targets organizations seeking scalable, accessible analytics in hybrid and cloud environments.
Supremind
Angel Round in 2019
Supremind is a Chinese company specializing in intelligent video analysis. It uses artificial intelligence and machine learning to enable accurate analysis of video content, with applications including traffic incident recognition and harmful internet content detection.
Kyligence
Series C in 2019
Kyligence Inc. specializes in big data analytics, offering an intelligent data platform that simplifies analysis from on-premises to cloud environments. Its flagship product is the Kyligence Analytics Platform, providing sub-second query latency and simplified analytics for business users. Additionally, it offers KyBot for monitoring and optimizing performance, and Apache Kylin, an open-source distributed analytics engine supporting large datasets.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Snowflake
Series F in 2018
Snowflake is a cloud-based data platform that enables businesses to consolidate and analyze data from various sources, build data-driven applications, and share insights securely. Its platform offers the flexibility of big data platforms and the cost-effectiveness of cloud solutions.
Kyligence
Series B in 2018
Kyligence Inc. specializes in big data analytics, offering an intelligent data platform that simplifies analysis from on-premises to cloud environments. Its flagship product is the Kyligence Analytics Platform, providing sub-second query latency and simplified analytics for business users. Additionally, it offers KyBot for monitoring and optimizing performance, and Apache Kylin, an open-source distributed analytics engine supporting large datasets.
DataCanvas
Series B in 2018
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and artificial intelligence practitioners. The company offers a comprehensive platform that integrates core analytical technologies in big data, AI, and machine learning. Its services are designed to facilitate the intelligent transformation and upgrade of both governmental and enterprise operations, ensuring effective development coordination and model management. By providing a complete set of development tools and support services, DataCanvas aims to enhance the capabilities of professionals in the data science and AI fields.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.
Oushu Technology
Series A in 2017
Oushu Technology is a prominent provider of big data and artificial intelligence-based platform software, specializing in the development of advanced database solutions tailored for large datasets. The company’s software, built on Apache HAWQ, offers a combination of high performance and scalability, allowing users to efficiently manage and analyze vast amounts of data. Oushu Technology is committed to delivering innovative enterprise database solutions that meet the evolving needs of businesses in a data-driven landscape.
TruSignal
Series A in 2017
TruSignal, a TransUnion company, specializes in people-based marketing technology. It offers predictive scoring powered by AI to make big data actionable for personalized marketing campaigns. The TruAudience Platform combines deterministic identity graphs, third-party datasets, machine learning algorithms, and ID matching technologies to deliver accurate, scalable solutions for Fortune 500 brands, agencies, and publishers.
Snowflake
Series D in 2017
Snowflake is a cloud-based data platform that enables businesses to consolidate and analyze data from various sources, build data-driven applications, and share insights securely. Its platform offers the flexibility of big data platforms and the cost-effectiveness of cloud solutions.
MapR
Venture Round in 2017
MapR Technologies specializes in providing a next-generation data platform for AI and Analytics. It helps global enterprises manage complex data challenges across high-scale distributed processing, IoT analytics, and container persistence. The company's platform enables real-time analytics integration into business processes, aiming to increase revenue, reduce costs, and mitigate risks. Major corporations such as Amazon, Cisco, Google, Microsoft, and SAP utilize MapR's solutions within their ecosystems.
DataCanvas
Series A in 2017
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and artificial intelligence practitioners. The company offers a comprehensive platform that integrates core analytical technologies in big data, AI, and machine learning. Its services are designed to facilitate the intelligent transformation and upgrade of both governmental and enterprise operations, ensuring effective development coordination and model management. By providing a complete set of development tools and support services, DataCanvas aims to enhance the capabilities of professionals in the data science and AI fields.
Kyligence
Series A in 2017
Kyligence Inc. specializes in big data analytics, offering an intelligent data platform that simplifies analysis from on-premises to cloud environments. Its flagship product is the Kyligence Analytics Platform, providing sub-second query latency and simplified analytics for business users. Additionally, it offers KyBot for monitoring and optimizing performance, and Apache Kylin, an open-source distributed analytics engine supporting large datasets.
Oushu Technology
Seed Round in 2017
Oushu Technology is a prominent provider of big data and artificial intelligence-based platform software, specializing in the development of advanced database solutions tailored for large datasets. The company’s software, built on Apache HAWQ, offers a combination of high performance and scalability, allowing users to efficiently manage and analyze vast amounts of data. Oushu Technology is committed to delivering innovative enterprise database solutions that meet the evolving needs of businesses in a data-driven landscape.
Laserlike
Venture Round in 2016
Laserlike is a computer software company that focuses on developing a web-scale content search and discovery platform. The company utilizes advanced machine learning techniques to curate high-quality information and diverse perspectives on a wide range of topics sourced from across the internet. By offering an online content search engine, Laserlike enables users to receive timely and relevant updates on subjects of interest, including news, web content, and videos. Its mission is to enhance information accessibility and personalization, ensuring users can easily find and engage with content that matters to them.
MapR
Venture Round in 2016
MapR Technologies specializes in providing a next-generation data platform for AI and Analytics. It helps global enterprises manage complex data challenges across high-scale distributed processing, IoT analytics, and container persistence. The company's platform enables real-time analytics integration into business processes, aiming to increase revenue, reduce costs, and mitigate risks. Major corporations such as Amazon, Cisco, Google, Microsoft, and SAP utilize MapR's solutions within their ecosystems.
Kyligence
Seed Round in 2016
Kyligence Inc. specializes in big data analytics, offering an intelligent data platform that simplifies analysis from on-premises to cloud environments. Its flagship product is the Kyligence Analytics Platform, providing sub-second query latency and simplified analytics for business users. Additionally, it offers KyBot for monitoring and optimizing performance, and Apache Kylin, an open-source distributed analytics engine supporting large datasets.
Quantifind
Venture Round in 2016
Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.
Founded in 2015, Dremio develops a data lake engine that accelerates analytical processing for business intelligence tools, data science, machine learning, and SQL clients. Its platform enables self-service analytics by delivering query speed and a semantic layer operating directly against the data lake storage.
Datameer is a data analytics platform that enables data engineers and analysts to transform and model data directly within cloud data warehouses using SQL or a no-code interface. The platform supports data preparation, integration, and analytics for large datasets, including features for ML and reporting, and aims to accelerate dataset creation and delivery while enabling collaboration between citizen data users and engineers. It offers tools for data modeling, transformation, and smart execution to optimize workloads, and provides capabilities for data discovery, visualization, and analytics across industries such as financial services, healthcare, retail, telecommunications, and tech. Founded in 2009 and based in San Francisco, Datameer targets organizations seeking scalable, accessible analytics in hybrid and cloud environments.
Snowflake
Series C in 2015
Snowflake is a cloud-based data platform that enables businesses to consolidate and analyze data from various sources, build data-driven applications, and share insights securely. Its platform offers the flexibility of big data platforms and the cost-effectiveness of cloud solutions.
Snowflake
Series B in 2014
Snowflake is a cloud-based data platform that enables businesses to consolidate and analyze data from various sources, build data-driven applications, and share insights securely. Its platform offers the flexibility of big data platforms and the cost-effectiveness of cloud solutions.
Quantifind
Venture Round in 2014
Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.
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 specializes in providing a next-generation data platform for AI and Analytics. It helps global enterprises manage complex data challenges across high-scale distributed processing, IoT analytics, and container persistence. The company's platform enables real-time analytics integration into business processes, aiming to increase revenue, reduce costs, and mitigate risks. Major corporations such as Amazon, Cisco, Google, Microsoft, and SAP utilize MapR's solutions within their ecosystems.
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Datameer is a data analytics platform that enables data engineers and analysts to transform and model data directly within cloud data warehouses using SQL or a no-code interface. The platform supports data preparation, integration, and analytics for large datasets, including features for ML and reporting, and aims to accelerate dataset creation and delivery while enabling collaboration between citizen data users and engineers. It offers tools for data modeling, transformation, and smart execution to optimize workloads, and provides capabilities for data discovery, visualization, and analytics across industries such as financial services, healthcare, retail, telecommunications, and tech. Founded in 2009 and based in San Francisco, Datameer targets organizations seeking scalable, accessible analytics in hybrid and cloud environments.
Igneous
Seed Round in 2013
Igneous Systems, Inc., founded in October 2013 and headquartered in Seattle, Washington, specializes in enterprise data center infrastructure and unstructured data management. The company offers a comprehensive as-a-Service solution that provides businesses with visibility, protection, and mobility for their unstructured data on a large scale. Igneous’s cloud-native, API-enabled platform integrates various unstructured data management functions, allowing organizations to maximize the value of their data while minimizing risks and optimizing IT resource utilization. Its services include consolidated backup, file system archiving, and efficient management of unstructured data, all aimed at enhancing workflow productivity for data-centric enterprises.
Quantifind
Venture Round in 2013
Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.
Heap
Convertible Note in 2013
Heap Inc. is a company that develops an analytics infrastructure designed for online businesses, enabling them to capture and analyze customer interactions across web, mobile, and cloud platforms. Founded in 2012 and headquartered in San Francisco, California, Heap's solution automates the collection and organization of customer behavioral data, such as clicks, transactions, and form submissions, without requiring additional coding. This streamlined approach allows businesses to gain a comprehensive understanding of their users, facilitating informed decision-making and enhancing product development. Heap serves a diverse range of industries, including e-commerce, financial services, and SaaS, with over 6,000 clients that include notable companies across various sectors. The company is committed to empowering organizations to focus on insights and actions that drive business success.
MapR Technologies specializes in providing a next-generation data platform for AI and Analytics. It helps global enterprises manage complex data challenges across high-scale distributed processing, IoT analytics, and container persistence. The company's platform enables real-time analytics integration into business processes, aiming to increase revenue, reduce costs, and mitigate risks. Major corporations such as Amazon, Cisco, Google, Microsoft, and SAP utilize MapR's solutions within their ecosystems.
Datameer is a data analytics platform that enables data engineers and analysts to transform and model data directly within cloud data warehouses using SQL or a no-code interface. The platform supports data preparation, integration, and analytics for large datasets, including features for ML and reporting, and aims to accelerate dataset creation and delivery while enabling collaboration between citizen data users and engineers. It offers tools for data modeling, transformation, and smart execution to optimize workloads, and provides capabilities for data discovery, visualization, and analytics across industries such as financial services, healthcare, retail, telecommunications, and tech. Founded in 2009 and based in San Francisco, Datameer targets organizations seeking scalable, accessible analytics in hybrid and cloud environments.
Quantifind
Series A in 2011
Quantifind is a data science company that develops AI-powered platforms for marketing insight and financial crime risk management. Its Signum suite merges internal data with public information to reveal revenue drivers, explain what and who influences brand performance, and measure sponsorship impact on awareness and sales across automotive, consumer goods, entertainment, financial services, pharmaceutical, retail, and telecom sectors. The company also provides financial crime intelligence solutions for anti-money laundering and fraud detection, delivering real-time risk assessments, uncovering hidden threats, and reducing false positives by leveraging unstructured external data alongside internal records. Quantifind serves financial institutions and other organizations seeking faster, more precise risk detection, improved compliance, and scalable, data-driven decision support.
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 specializes in providing a next-generation data platform for AI and Analytics. It helps global enterprises manage complex data challenges across high-scale distributed processing, IoT analytics, and container persistence. The company's platform enables real-time analytics integration into business processes, aiming to increase revenue, reduce costs, and mitigate risks. Major corporations such as Amazon, Cisco, Google, Microsoft, and SAP utilize MapR's solutions within their ecosystems.
Datameer is a data analytics platform that enables data engineers and analysts to transform and model data directly within cloud data warehouses using SQL or a no-code interface. The platform supports data preparation, integration, and analytics for large datasets, including features for ML and reporting, and aims to accelerate dataset creation and delivery while enabling collaboration between citizen data users and engineers. It offers tools for data modeling, transformation, and smart execution to optimize workloads, and provides capabilities for data discovery, visualization, and analytics across industries such as financial services, healthcare, retail, telecommunications, and tech. Founded in 2009 and based in San Francisco, Datameer targets organizations seeking scalable, accessible analytics in hybrid and cloud environments.
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
Series C in 2005
OuterBay Technologies, Inc. is a provider of information lifecycle management solutions focused on applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company specializes in helping organizations monitor, forecast, and manage data growth within enterprise environments. Its offerings include application resource monitoring, data growth analysis and policy management, and database archiving for long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and database subsetting services, along with tools for effective data growth monitoring. 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.
Digital Evolution
Series C in 2004
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
Series C in 2003
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
Series B in 2003
OuterBay Technologies, Inc. is a provider of information lifecycle management solutions focused on applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company specializes in helping organizations monitor, forecast, and manage data growth within enterprise environments. Its offerings include application resource monitoring, data growth analysis and policy management, and database archiving for long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and database subsetting services, along with tools for effective data growth monitoring. The company also maintains offices in the United States, the United Kingdom, and India.
OuterBay Technologies
Series A in 2002
OuterBay Technologies, Inc. is a provider of information lifecycle management solutions focused on applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company specializes in helping organizations monitor, forecast, and manage data growth within enterprise environments. Its offerings include application resource monitoring, data growth analysis and policy management, and database archiving for long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and database subsetting services, along with tools for effective data growth monitoring. The company also maintains offices in the United States, the United Kingdom, and India.
OuterBay Technologies
Venture Round in 2002
OuterBay Technologies, Inc. is a provider of information lifecycle management solutions focused on applications and databases. Founded in 1997 and headquartered in Cupertino, California, the company specializes in helping organizations monitor, forecast, and manage data growth within enterprise environments. Its offerings include application resource monitoring, data growth analysis and policy management, and database archiving for long-term data retention, governance, and regulatory compliance. Additionally, OuterBay provides enterprise database archiving and database subsetting services, along with tools for effective data growth monitoring. The company also maintains offices in the United States, the United Kingdom, and India.