CRV

Protege is an AI training data platform that connects data holders with vetted data users.

Encord offers a unified platform dedicated to streamlining data development for advanced vision and multimodal AI teams. The company specializes in building tools and infrastructure that accelerate model deployment by providing a data-centric testing framework, human-centric annotation tools for labeling and reinforcement learning from human feedback (RLHF), and robust data curation management software. Encord's platform aims to automate manual annotation tasks, enabling data scientists and researchers to efficiently tackle machine learning application challenges.

Napkin AI is a startup that specializes in transforming written content into customizable visuals, enhancing communication across various platforms. Founded by Pramod Sharma and Jerome Scholler, the creators of AI gaming company Osmo, Napkin aims to make business communication more engaging and effective through compelling visual storytelling. The company's platform allows users to express ideas with drawings, icons, charts, and diagrams, and even record and edit videos, making complex concepts easier to understand. Napkin is designed to work seamlessly with popular tools such as Google Docs, Slides, Canva, Slack, Word, PowerPoint, email, and text messaging.

Tinybird is a developer of data analytical software that empowers data teams to create scalable data products from analytical data. The platform transforms raw data into real-time insights and actions, enabling businesses to unlock its full potential. Tinybird's software facilitates the rapid development of low-latency, high-concurrency APIs, allowing developers to build applications efficiently using familiar tools such as SQL and APIs. It supports a wide range of users, from start-ups to global enterprises, by providing capabilities for analytics, data exploration, operational workflows, and product instrumentation. This enables teams to deliver real-time answers at scale through analytical API endpoints, streamlining the process of turning data into business value.

Revcast operates a revenue performance management platform designed for modern revenue operations leaders. It enables precise planning, real-time risk assessment, opportunity identification, and capacity-based forecasting. The platform integrates with CRM, finance, and HR systems, providing actionable insights to improve revenue performance.

StarTree is a software company specializing in real-time analytics. It enables businesses to derive insights from continuous raw data streams, offering features like sub-second query response times, diverse data type support, scalable concurrency, and flexible deployment options.

Sleuth provides mission control software for teams practicing Continuous Delivery. It offers centralized visibility into software delivery performance using DORA metrics, empowering developers with insights and automation to improve deployment efficiency and predictability.

Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.

Tinybird is a developer of data analytical software that empowers data teams to create scalable data products from analytical data. The platform transforms raw data into real-time insights and actions, enabling businesses to unlock its full potential. Tinybird's software facilitates the rapid development of low-latency, high-concurrency APIs, allowing developers to build applications efficiently using familiar tools such as SQL and APIs. It supports a wide range of users, from start-ups to global enterprises, by providing capabilities for analytics, data exploration, operational workflows, and product instrumentation. This enables teams to deliver real-time answers at scale through analytical API endpoints, streamlining the process of turning data into business value.

Encord offers a unified platform dedicated to streamlining data development for advanced vision and multimodal AI teams. The company specializes in building tools and infrastructure that accelerate model deployment by providing a data-centric testing framework, human-centric annotation tools for labeling and reinforcement learning from human feedback (RLHF), and robust data curation management software. Encord's platform aims to automate manual annotation tasks, enabling data scientists and researchers to efficiently tackle machine learning application challenges.

Osmos is a developer of an artificial intelligence-powered platform designed to facilitate cross-company data collaboration securely and efficiently. The platform specializes in real-time data transformations, allowing users to seamlessly import and share data with external parties and systems. Its unique features include embeddable uploaders and a no-code interface that enables end-users to manage data without requiring technical expertise. Osmos employs advanced program synthesis to automatically learn and execute complex data transformations, such as conditional logic and multi-column joins, thereby eliminating the need for engineers to handle data wrangling. This streamlined approach helps companies of all sizes enhance their data relationships with customers, vendors, and partners.

Encord offers a unified platform dedicated to streamlining data development for advanced vision and multimodal AI teams. The company specializes in building tools and infrastructure that accelerate model deployment by providing a data-centric testing framework, human-centric annotation tools for labeling and reinforcement learning from human feedback (RLHF), and robust data curation management software. Encord's platform aims to automate manual annotation tasks, enabling data scientists and researchers to efficiently tackle machine learning application challenges.

StarTree is a software company specializing in real-time analytics. It enables businesses to derive insights from continuous raw data streams, offering features like sub-second query response times, diverse data type support, scalable concurrency, and flexible deployment options.

Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.

Sleuth provides mission control software for teams practicing Continuous Delivery. It offers centralized visibility into software delivery performance using DORA metrics, empowering developers with insights and automation to improve deployment efficiency and predictability.

StarTree is a software company specializing in real-time analytics. It enables businesses to derive insights from continuous raw data streams, offering features like sub-second query response times, diverse data type support, scalable concurrency, and flexible deployment options.

Viz.ai, Inc. specializes in healthcare imaging software designed to enhance stroke care through the use of artificial intelligence. The company's flagship technology synchronizes treatment by reducing delays in patient care, enabling rapid identification of large vessel occlusion (LVO) strokes using advanced deep learning algorithms. Key offerings include Viz LVO, which alerts on-call stroke teams based on CT angiogram images, and Viz CTP, which analyzes CT perfusion images and generates critical parametric data. Additionally, Viz HUB facilitates communication among clinical teams to coordinate care efficiently, while Viz VIEW allows healthcare professionals to view imaging data on mobile devices. Founded in 2016 and headquartered in San Francisco, the company aims to transform healthcare delivery by improving the speed and accessibility of treatment for stroke patients.

SignalFx, Inc. is a provider of cloud monitoring solutions designed to detect and analyze anomalies across infrastructure, applications, and business service level agreements (SLAs). Founded in 2013 and headquartered in San Mateo, California, with additional offices in London and Krakow, the company offers a modern monitoring platform that streams real-time analytics, allowing for immediate insights into issues as they arise. Utilizing its proprietary SignalFlow technology, SignalFx processes and analyzes data in real time, enabling organizations to replace traditional monitoring tools with its scalable architecture optimized for cloud environments and microservices. The platform includes advanced features such as proactive alerting, powerful visualization, and collaborative troubleshooting, empowering DevOps teams to quickly identify and resolve problems. SignalFx serves a diverse range of clients in various sectors, including technology, finance, and retail, and operates as a subsidiary of Splunk Inc. since October 2019.

SignalFx, Inc. is a provider of cloud monitoring solutions designed to detect and analyze anomalies across infrastructure, applications, and business service level agreements (SLAs). Founded in 2013 and headquartered in San Mateo, California, with additional offices in London and Krakow, the company offers a modern monitoring platform that streams real-time analytics, allowing for immediate insights into issues as they arise. Utilizing its proprietary SignalFlow technology, SignalFx processes and analyzes data in real time, enabling organizations to replace traditional monitoring tools with its scalable architecture optimized for cloud environments and microservices. The platform includes advanced features such as proactive alerting, powerful visualization, and collaborative troubleshooting, empowering DevOps teams to quickly identify and resolve problems. SignalFx serves a diverse range of clients in various sectors, including technology, finance, and retail, and operates as a subsidiary of Splunk Inc. since October 2019.

Qubole, Inc. is a cloud-based data platform that specializes in analyzing and processing large data sets for businesses. Founded in 2011 and headquartered in Santa Clara, California, with additional offices in Bengaluru, New York, Singapore, London, and San Francisco, Qubole offers a comprehensive platform for analytics, artificial intelligence, and machine learning applications. Its Qubole Data Service enables users to provision, manage, and scale big data analytics workloads across various cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. The platform supports a wide range of data processing tasks, including ETL, ad hoc queries, and data science projects, while providing tools for users to access, configure, and monitor big data clusters. Qubole’s architecture facilitates the use of multiple programming languages and integrates with third-party business intelligence tools. The company serves data scientists, data engineers, and analysts, helping them to efficiently develop queries and manage data workflows. Qubole has also established a strategic partnership with Ascend.io to enhance its offerings.

SignalFx, Inc. is a provider of cloud monitoring solutions designed to detect and analyze anomalies across infrastructure, applications, and business service level agreements (SLAs). Founded in 2013 and headquartered in San Mateo, California, with additional offices in London and Krakow, the company offers a modern monitoring platform that streams real-time analytics, allowing for immediate insights into issues as they arise. Utilizing its proprietary SignalFlow technology, SignalFx processes and analyzes data in real time, enabling organizations to replace traditional monitoring tools with its scalable architecture optimized for cloud environments and microservices. The platform includes advanced features such as proactive alerting, powerful visualization, and collaborative troubleshooting, empowering DevOps teams to quickly identify and resolve problems. SignalFx serves a diverse range of clients in various sectors, including technology, finance, and retail, and operates as a subsidiary of Splunk Inc. since October 2019.

Qubole, Inc. is a cloud-based data platform that specializes in analyzing and processing large data sets for businesses. Founded in 2011 and headquartered in Santa Clara, California, with additional offices in Bengaluru, New York, Singapore, London, and San Francisco, Qubole offers a comprehensive platform for analytics, artificial intelligence, and machine learning applications. Its Qubole Data Service enables users to provision, manage, and scale big data analytics workloads across various cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. The platform supports a wide range of data processing tasks, including ETL, ad hoc queries, and data science projects, while providing tools for users to access, configure, and monitor big data clusters. Qubole’s architecture facilitates the use of multiple programming languages and integrates with third-party business intelligence tools. The company serves data scientists, data engineers, and analysts, helping them to efficiently develop queries and manage data workflows. Qubole has also established a strategic partnership with Ascend.io to enhance its offerings.

SignalFx, Inc. is a provider of cloud monitoring solutions designed to detect and analyze anomalies across infrastructure, applications, and business service level agreements (SLAs). Founded in 2013 and headquartered in San Mateo, California, with additional offices in London and Krakow, the company offers a modern monitoring platform that streams real-time analytics, allowing for immediate insights into issues as they arise. Utilizing its proprietary SignalFlow technology, SignalFx processes and analyzes data in real time, enabling organizations to replace traditional monitoring tools with its scalable architecture optimized for cloud environments and microservices. The platform includes advanced features such as proactive alerting, powerful visualization, and collaborative troubleshooting, empowering DevOps teams to quickly identify and resolve problems. SignalFx serves a diverse range of clients in various sectors, including technology, finance, and retail, and operates as a subsidiary of Splunk Inc. since October 2019.

Qubole, Inc. is a cloud-based data platform that specializes in analyzing and processing large data sets for businesses. Founded in 2011 and headquartered in Santa Clara, California, with additional offices in Bengaluru, New York, Singapore, London, and San Francisco, Qubole offers a comprehensive platform for analytics, artificial intelligence, and machine learning applications. Its Qubole Data Service enables users to provision, manage, and scale big data analytics workloads across various cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. The platform supports a wide range of data processing tasks, including ETL, ad hoc queries, and data science projects, while providing tools for users to access, configure, and monitor big data clusters. Qubole’s architecture facilitates the use of multiple programming languages and integrates with third-party business intelligence tools. The company serves data scientists, data engineers, and analysts, helping them to efficiently develop queries and manage data workflows. Qubole has also established a strategic partnership with Ascend.io to enhance its offerings.

Qubole, Inc. is a cloud-based data platform that specializes in analyzing and processing large data sets for businesses. Founded in 2011 and headquartered in Santa Clara, California, with additional offices in Bengaluru, New York, Singapore, London, and San Francisco, Qubole offers a comprehensive platform for analytics, artificial intelligence, and machine learning applications. Its Qubole Data Service enables users to provision, manage, and scale big data analytics workloads across various cloud infrastructures, including Amazon Web Services, Google Cloud, and Microsoft Azure. The platform supports a wide range of data processing tasks, including ETL, ad hoc queries, and data science projects, while providing tools for users to access, configure, and monitor big data clusters. Qubole’s architecture facilitates the use of multiple programming languages and integrates with third-party business intelligence tools. The company serves data scientists, data engineers, and analysts, helping them to efficiently develop queries and manage data workflows. Qubole has also established a strategic partnership with Ascend.io to enhance its offerings.

EnterpriseDB (EDB) is a global provider of an open source-based data management platform, optimized for scalability, security, and reliability. The company specializes in enhancing PostgreSQL, making it suitable for enterprise applications, and serves over 4,000 customers across various industries, including financial services, government, media, and information technology. EDB's platform supports diverse workloads such as transaction processing, data warehousing, customer analytics, and web-based applications, both on-premises and in the cloud. Key features of the EDB PostgreSQL platform include critical tools for failover management, backup and recovery, and replication, all designed to facilitate efficient database management. With a commitment to customer success, EDB also offers 24/7 support, professional services, and training, positioning organizations to effectively manage their data environments and reduce operational risks.

RethinkDB is an open-source distributed database management platform specifically designed for the realtime web. It enables developers to build scalable applications efficiently by allowing the database to continuously push updated query results to applications, eliminating the need for polling. RethinkDB supports storage of data in JSON documents and features a powerful query language that includes advanced functionalities like table joins and groupBy. The platform is built with a highly parallelized architecture, ensuring reliability across various workloads and edge cases. Additionally, it offers web-based tools for managing clusters, providing users with live statistics and complete visibility into ongoing operations.

EnterpriseDB (EDB) is a global provider of an open source-based data management platform, optimized for scalability, security, and reliability. The company specializes in enhancing PostgreSQL, making it suitable for enterprise applications, and serves over 4,000 customers across various industries, including financial services, government, media, and information technology. EDB's platform supports diverse workloads such as transaction processing, data warehousing, customer analytics, and web-based applications, both on-premises and in the cloud. Key features of the EDB PostgreSQL platform include critical tools for failover management, backup and recovery, and replication, all designed to facilitate efficient database management. With a commitment to customer success, EDB also offers 24/7 support, professional services, and training, positioning organizations to effectively manage their data environments and reduce operational risks.

EnterpriseDB (EDB) is a global provider of an open source-based data management platform, optimized for scalability, security, and reliability. The company specializes in enhancing PostgreSQL, making it suitable for enterprise applications, and serves over 4,000 customers across various industries, including financial services, government, media, and information technology. EDB's platform supports diverse workloads such as transaction processing, data warehousing, customer analytics, and web-based applications, both on-premises and in the cloud. Key features of the EDB PostgreSQL platform include critical tools for failover management, backup and recovery, and replication, all designed to facilitate efficient database management. With a commitment to customer success, EDB also offers 24/7 support, professional services, and training, positioning organizations to effectively manage their data environments and reduce operational risks.

EnterpriseDB (EDB) is a global provider of an open source-based data management platform, optimized for scalability, security, and reliability. The company specializes in enhancing PostgreSQL, making it suitable for enterprise applications, and serves over 4,000 customers across various industries, including financial services, government, media, and information technology. EDB's platform supports diverse workloads such as transaction processing, data warehousing, customer analytics, and web-based applications, both on-premises and in the cloud. Key features of the EDB PostgreSQL platform include critical tools for failover management, backup and recovery, and replication, all designed to facilitate efficient database management. With a commitment to customer success, EDB also offers 24/7 support, professional services, and training, positioning organizations to effectively manage their data environments and reduce operational risks.

Net.Genesis Corp. provides software and professional services that help its customers understand, analyze and improve their online businesses. Its software enables companies to collect, store, organize, and analyze detailed information about the online behavior of customers and other visitors on their web sites. Net.Genesis software also enables its customers to import and analyze information about e-customers from other online and off-line software systems and databases. In addition, the company offers professional services including strategic analytic consulting, product implementation, application integration, training programs, and technical support services. The company markets its products and related services in United States, Europe, and Australia. It was founded in 1994 and is headquartered in Cambridge, Massachusetts. As of December 21, 2001, net.Genesis Corp. was acquired by SPSS Inc.