AI Squared
Series A in 2024
AI Squared helps large organizations bring AI to where work happens. We do this by leveraging our SaaS or on-prem platform which combines data sources with advanced AL/ML functionality and embeds intelligent insights into critical business applications. Trusted by the largest financial institutions, the most complicated supply chain logistics companies, and the US Department of Defense, we enable seamless collaboration between data science teams and business users, driving faster, more informed decision-making.
VAST Data
Series E in 2023
VAST Data, Inc. specializes in developing innovative data storage solutions, offering a universal storage platform that integrates Intel’s Optane SSDs as a cache for data stored on quad-level cell (QLC) SSDs. Founded in 2016 and headquartered in New York, with an additional office in San Jose, VAST Data serves various industries, including animation, visual effects, deep learning, and enterprise backup recovery. The platform is designed to accelerate time-to-insight for workload-intensive applications, providing scalable performance, simple data management, and improved productivity for AI-driven organizations. Since its launch in 2019, VAST Data has gained recognition as a rapidly growing player in the data infrastructure sector.
Granica provides a data readiness platform designed to support enterprises in effectively leveraging artificial intelligence. The platform enables data engineers and leaders to prepare AI-ready data that enhances the efficiency and safety of AI, machine learning, and analytics initiatives. By optimizing data sets for training and inference, Granica reduces storage costs by up to 60% and improves query performance by up to 56%. The company focuses on ensuring data privacy and mitigating the risks of sensitive data leakage while enhancing the accuracy and fairness of AI models. Granica curates and refines training data sets, selecting impactful samples to boost model performance and instill greater trust in AI applications. Targeting industries such as financial services, retail, geo-spatial intelligence, and autonomous vehicles, Granica aims to make AI implementations more effective and beneficial for its clients.
Sundeck
Seed Round in 2023
Sundeck is a data infrastructure and analytics company based in Santa Clara, California, founded by Jacques Nadeau in 2022. The company specializes in customizing the behavior of Snowflake queries to enhance their functionality. Sundeck's platform allows for warehouse optimization, adaptive routing, and granular cost control, empowering data engineers to address complex challenges in query management. By executing pre- and post-hook SQL across various business intelligence and AI tools, Sundeck enhances user creativity while providing robust control over data operations.
FiscalNote Holdings
Post in 2022
FiscalNote is a provider of global policy and market intelligence solutions, utilizing artificial intelligence and big data to offer predictive analytics on governmental actions. Its flagship platform enables real-time legislative predictions and includes tools for enterprise collaboration, data visualization, and insights into campaign finance and demographics. The company's product suite, which includes FiscalNote Core, CQ Federal, and EU Issue Tracker, supports businesses, government institutions, and nonprofits in effective policy management and risk mitigation. Additionally, with contributions from expert analysis firms, FiscalNote delivers comprehensive geopolitical and market intelligence services. By integrating policy intelligence into daily operations, FiscalNote empowers its clients to make informed decisions efficiently.
AI Squared
Seed Round in 2022
AI Squared helps large organizations bring AI to where work happens. We do this by leveraging our SaaS or on-prem platform which combines data sources with advanced AL/ML functionality and embeds intelligent insights into critical business applications. Trusted by the largest financial institutions, the most complicated supply chain logistics companies, and the US Department of Defense, we enable seamless collaboration between data science teams and business users, driving faster, more informed decision-making.
Wheelhouse
Series A in 2022
Wheelhouse is a business intelligence platform that helps turn the hosts & owners into superheroes. We're proud that thousands of hosts & owners have used our flagship product, data-driven pricing, to earn significantly more revenue from their business. We're a team of YC alums, data science PhD's, hedge fund engineers, product evangelists, and hustlers. Our teams core values are "empowered together" and "seriously fun". We think that captures the mood & values of a team that works exceptionally well together, pushes the envelope, and is not against cracking a beer together around 5pm on Friday. See more team members here: - https://angel.co/usewheelhouse - https://www.usewheelhouse.com/about-us
Sisu is a decision intelligence engine that allows users to efficiently and comprehensively utilize their cloud data. Companies such as Mastercard, Autodesk, Samsung, Upwork, Wayfair, Equinox, Udacity, and Gusto leverage Sisu to enhance their customer experiences, increase revenue growth, and reduce incident rates.
Databricks
Series H in 2021
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
Tulip Interfaces
Series C in 2021
Tulip Interfaces, Inc. specializes in creating applications for the manufacturing industry that enhance shop floor operations. Founded in 2012 and based in Somerville, Massachusetts, the company offers a no-code platform that allows organizations to integrate data from various sources, including sensors and existing equipment. This integration facilitates the creation of digital work instructions and provides real-time visibility into operations, including the performance of personnel and machinery. Tulip serves a diverse range of industries, including consumer electronics, pharmaceuticals, apparel, and medical devices, helping companies improve productivity, quality, and operational efficiency. By leveraging advanced technologies such as intelligent hardware sensors, computer vision, and machine learning, Tulip's platform enables organizations to digitally transform their operations and achieve better end-to-end traceability.
Metabase is an open-source analytics and business intelligence application founded in 2014 and based in San Francisco, California. The platform enables users to create dashboards and reports, facilitating the measurement, analysis, and sharing of data to address complex business challenges. Metabase offers various professional services, including managed hosting and support, as well as assistance with implementing customized analytics solutions. This enables organizations to track data trends over time, enhancing their decision-making processes.
Databricks
Series G in 2021
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.
GRID is a spreadsheet technology company redefining how spreadsheets integrate with modern applications. At its core is a powerful independent spreadsheet engine, built for complex calculations, dynamic visualizations, and seamless AI integration.
Vimaan is a computer vision and AI solution company focused on enhancing inventory management in warehouses. By automating and digitizing inventory tasks, Vimaan addresses the challenges associated with maintaining accurate stock levels. Their suite of products includes solutions for various applications, such as dock tracking, storage management, and order picking. These tools are designed to support warehousing and logistics companies, ultimately enabling clients to improve the efficiency of their supply chains. Vimaan aims to streamline processes from receiving and storing items to order fulfillment and shipping, thus facilitating better inventory control in a range of industries.
Tempus is a technology company improving precision medicine through the practical application of artificial intelligence in healthcare. Their platform is designed to analyze and interpret clinical and molecular data to help healthcare providers deliver more personalized and effective treatments.
Databricks
Series F in 2019
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
Sisu is a decision intelligence engine that allows users to efficiently and comprehensively utilize their cloud data. Companies such as Mastercard, Autodesk, Samsung, Upwork, Wayfair, Equinox, Udacity, and Gusto leverage Sisu to enhance their customer experiences, increase revenue growth, and reduce incident rates.
Heap automates away the annoying parts of analytics so that companies can focus on making smarter business decisions. The company's mission is to power business decisions with truth. It encourages companies to focus on discovering insights and taking action. With Heap, organizations can remove technical jams and obtain a single comprehensive view of the customers. The software automatically gathers, organizes, analyzes, and connects customer data, so businesses can create more valuable products and experiences. Heap serves over 6,000 companies in ecommerce, SaaS, fintech, retail, media, and beyond including Twilio, LendingClub, App Annie, Optimizely, Morningstar, Monotype, and Casper. Heap was founded on 2013 and is headquartered in San Francisco, California.
Tempus is a technology company improving precision medicine through the practical application of artificial intelligence in healthcare. Their platform is designed to analyze and interpret clinical and molecular data to help healthcare providers deliver more personalized and effective treatments.
Metabase is an open-source analytics and business intelligence application founded in 2014 and based in San Francisco, California. The platform enables users to create dashboards and reports, facilitating the measurement, analysis, and sharing of data to address complex business challenges. Metabase offers various professional services, including managed hosting and support, as well as assistance with implementing customized analytics solutions. This enables organizations to track data trends over time, enhancing their decision-making processes.
Igneous delivers the only Unstructured Data Management (UDM) as-a-Service solution, giving data-centric enterprises visibility, protection, and data mobility at scale. Igneous’ API-enabled, cloud-native solution combines all UDM functions so that organizations can tap the value of their unstructured data, while reducing risk and optimizing IT resource utilization. Kiran Bhageshpur and Byron Rakitzis founded the company in October 2013, with its headquarters in Seattle in Washington.
Tulip Interfaces
Series B in 2019
Tulip Interfaces, Inc. specializes in creating applications for the manufacturing industry that enhance shop floor operations. Founded in 2012 and based in Somerville, Massachusetts, the company offers a no-code platform that allows organizations to integrate data from various sources, including sensors and existing equipment. This integration facilitates the creation of digital work instructions and provides real-time visibility into operations, including the performance of personnel and machinery. Tulip serves a diverse range of industries, including consumer electronics, pharmaceuticals, apparel, and medical devices, helping companies improve productivity, quality, and operational efficiency. By leveraging advanced technologies such as intelligent hardware sensors, computer vision, and machine learning, Tulip's platform enables organizations to digitally transform their operations and achieve better end-to-end traceability.
Metabase
Venture Round in 2019
Metabase is an open-source analytics and business intelligence application founded in 2014 and based in San Francisco, California. The platform enables users to create dashboards and reports, facilitating the measurement, analysis, and sharing of data to address complex business challenges. Metabase offers various professional services, including managed hosting and support, as well as assistance with implementing customized analytics solutions. This enables organizations to track data trends over time, enhancing their decision-making processes.
Databricks
Series E in 2019
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.
StreamSets
Series C in 2018
StreamSets software delivers performance management for data flows that feed the next generation of big data applications. Its mission is to bring operational excellence to the management of data in motion, so that data continually arrives on-time and with quality, empowering business-critical analysis and decision-making. It was founded in 2014 and headquartered in San Francisco, California.
Tempus is a technology company improving precision medicine through the practical application of artificial intelligence in healthcare. Their platform is designed to analyze and interpret clinical and molecular data to help healthcare providers deliver more personalized and effective treatments.
Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.
Tempus is a technology company improving precision medicine through the practical application of artificial intelligence in healthcare. Their platform is designed to analyze and interpret clinical and molecular data to help healthcare providers deliver more personalized and effective treatments.
Igneous delivers the only Unstructured Data Management (UDM) as-a-Service solution, giving data-centric enterprises visibility, protection, and data mobility at scale. Igneous’ API-enabled, cloud-native solution combines all UDM functions so that organizations can tap the value of their unstructured data, while reducing risk and optimizing IT resource utilization. Kiran Bhageshpur and Byron Rakitzis founded the company in October 2013, with its headquarters in Seattle in Washington.
Tempus is a technology company improving precision medicine through the practical application of artificial intelligence in healthcare. Their platform is designed to analyze and interpret clinical and molecular data to help healthcare providers deliver more personalized and effective treatments.
Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.
MapR
Venture Round in 2017
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
Databricks
Series D in 2017
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
Segment provides the customer data infrastructure that helps businesses put their customers first. Using Segment, companies can collect, unify, and connect their first-party to over 200 marketing, analytics, and data warehouse tools. It was founded in 2011 and headquartered in San Francisco, California.
Tulip Interfaces
Series A in 2017
Tulip Interfaces, Inc. specializes in creating applications for the manufacturing industry that enhance shop floor operations. Founded in 2012 and based in Somerville, Massachusetts, the company offers a no-code platform that allows organizations to integrate data from various sources, including sensors and existing equipment. This integration facilitates the creation of digital work instructions and provides real-time visibility into operations, including the performance of personnel and machinery. Tulip serves a diverse range of industries, including consumer electronics, pharmaceuticals, apparel, and medical devices, helping companies improve productivity, quality, and operational efficiency. By leveraging advanced technologies such as intelligent hardware sensors, computer vision, and machine learning, Tulip's platform enables organizations to digitally transform their operations and achieve better end-to-end traceability.
StreamSets
Series B in 2017
StreamSets software delivers performance management for data flows that feed the next generation of big data applications. Its mission is to bring operational excellence to the management of data in motion, so that data continually arrives on-time and with quality, empowering business-critical analysis and decision-making. It was founded in 2014 and headquartered in San Francisco, California.
Heap automates away the annoying parts of analytics so that companies can focus on making smarter business decisions. The company's mission is to power business decisions with truth. It encourages companies to focus on discovering insights and taking action. With Heap, organizations can remove technical jams and obtain a single comprehensive view of the customers. The software automatically gathers, organizes, analyzes, and connects customer data, so businesses can create more valuable products and experiences. Heap serves over 6,000 companies in ecommerce, SaaS, fintech, retail, media, and beyond including Twilio, LendingClub, App Annie, Optimizely, Morningstar, Monotype, and Casper. Heap was founded on 2013 and is headquartered in San Francisco, California.
HEAVY.AI develops a big data analytics and visualization platform that helps businesses and government entities uncover valuable opportunities and risks within extensive location and time data. Its technology leverages the capabilities of modern GPU and CPU hardware to facilitate high-speed analytics and visualization. The platform features a structured query language-compliant database and an advanced visual analytics engine, allowing users to analyze and visualize large datasets efficiently. Clients from various sectors, including government, telecommunications, energy, utilities, and higher education, utilize HEAVY.AI's solutions to enhance decision-making processes and gain insights from multi-billion record datasets.
Matroid
Seed Round in 2017
Matroid is a computer vision company that provides a studio to create, combine, and use computer vision detectors, without programming. Its platform allows users to create computer vision detectors that recognize the people, events, and objects they are interested in, monitor television streams in real-time, send notifications about custom events on security cameras, and search visual media. Matroid was founded by Reza Zadeh in 2016 and is headquartered in Palo Alto, California.
Databricks
Series C in 2016
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
Ravel Law
Series A in 2016
Ravel Law, Inc. operates a legal analytics platform that assists legal professionals in transforming vast amounts of legal data into actionable insights. Founded in 2012 and based in San Francisco, California, the company provides a suite of tools that includes court analytics, judge analytics, case analytics, and interactive visualizations. These resources help attorneys, law students, and legal researchers to analyze and interpret complex legal information effectively. By leveraging data-driven insights, Ravel Law enhances the ability of its users to prepare for litigation and make informed decisions. The company became a subsidiary of LexisNexis Legal & Professional Inc. in 2017, further expanding its reach and capabilities within the legal sector. Ravel Law originated from Stanford University's initiatives in legal informatics, highlighting its commitment to innovation in the legal field.
Heap automates away the annoying parts of analytics so that companies can focus on making smarter business decisions. The company's mission is to power business decisions with truth. It encourages companies to focus on discovering insights and taking action. With Heap, organizations can remove technical jams and obtain a single comprehensive view of the customers. The software automatically gathers, organizes, analyzes, and connects customer data, so businesses can create more valuable products and experiences. Heap serves over 6,000 companies in ecommerce, SaaS, fintech, retail, media, and beyond including Twilio, LendingClub, App Annie, Optimizely, Morningstar, Monotype, and Casper. Heap was founded on 2013 and is headquartered in San Francisco, California.
MapR
Venture Round in 2016
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
Elastic is a technology company that develops the open-source Elastic Stack, which includes Elasticsearch, Kibana, Beats, and Logstash, as well as commercial features through X-Pack and Elastic Cloud, a suite of SaaS offerings. The company's flagship product, Elasticsearch, is a distributed, RESTful search and analytics engine designed for scalability and speed, supporting diverse applications such as search, logging, metrics, and data security. With more than 250 million cumulative downloads, Elastic's solutions are utilized by a wide array of organizations, including Cisco, eBay, Goldman Sachs, NASA, and The New York Times, to manage mission-critical systems. The company's architecture is optimized for low latency and includes native vector database capabilities. Elastic has a global workforce of over 900 employees across 30 countries, reflecting its commitment to innovation and customer service in the field of data management and analytics.
GrowingIO
Series A in 2016
GrowingIO is a prominent analytics platform provider in China, established in May 2015 by Simon Zhang, Dingding Ye, Justin Chen, Yuanming Shan, and Jonathan Wu. Headquartered in Beijing, the company specializes in helping businesses drive growth through data insights. Its platform allows for comprehensive tracking of user behavior across applications, Mini programs (such as those on WeChat), and websites. By offering tools for rapid deployment and real-time data acquisition, GrowingIO enables companies to develop a complete data monitoring system. This facilitates efficient management of key business indicators and provides actionable insights that support data-driven decision-making and enhance overall business performance.
Zoomdata, Inc. specializes in developing data visualization and analytics systems tailored for big data environments. Its flagship application allows users to interact with modern big data technologies, including Apache Hadoop, Apache Spark, and NoSQL data stores. The platform features Data Sharpening technology for real-time and historical data analysis and Zoomdata Fusion, which enables the integration of big data with traditional data sources without requiring data movement or transformation. Users can create dashboards and fuse disparate data sources into a cohesive interface, facilitating collaboration and insights. Zoomdata's solutions are available for both cloud and on-premises deployment, catering to a variety of business needs. The company also supports developers through the Zoomdata Developer Network, which provides access to resources such as guides, code samples, and API documentation. Founded in 2012 and headquartered in Reston, Virginia, Zoomdata operates additional offices in San Mateo, California, and has formed strategic partnerships with firms like Deloitte and Unisys. As of June 2019, it operates as a subsidiary of Logi Analytics, Inc.
FiscalNote Holdings
Series C in 2016
FiscalNote is a provider of global policy and market intelligence solutions, utilizing artificial intelligence and big data to offer predictive analytics on governmental actions. Its flagship platform enables real-time legislative predictions and includes tools for enterprise collaboration, data visualization, and insights into campaign finance and demographics. The company's product suite, which includes FiscalNote Core, CQ Federal, and EU Issue Tracker, supports businesses, government institutions, and nonprofits in effective policy management and risk mitigation. Additionally, with contributions from expert analysis firms, FiscalNote delivers comprehensive geopolitical and market intelligence services. By integrating policy intelligence into daily operations, FiscalNote empowers its clients to make informed decisions efficiently.
OpsClarity
Series A in 2015
OpsClarity is a performance monitoring solution for modern applications and data infrastructure that helps DevOps and engineering teams to continuously visualize, understand and troubleshoot their complex and distributed business-critical applications and infrastructure. Built by alumni from Yahoo, eBay, Facebook, Twitter and Google, OpsClarity is the only solution that can dynamically adapt to and learn every component of a company’s modern fast data application and infrastructure and extract key insights needed to maximize performance and agility..
StreamSets
Series A in 2015
StreamSets software delivers performance management for data flows that feed the next generation of big data applications. Its mission is to bring operational excellence to the management of data in motion, so that data continually arrives on-time and with quality, empowering business-critical analysis and decision-making. It was founded in 2014 and headquartered in San Francisco, California.
Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.
Lemonade.io
Seed Round in 2015
Lemonade.io offers a technology to measure and improve creativity in individuals and organizations.
FiscalNote Holdings
Series A in 2014
FiscalNote is a provider of global policy and market intelligence solutions, utilizing artificial intelligence and big data to offer predictive analytics on governmental actions. Its flagship platform enables real-time legislative predictions and includes tools for enterprise collaboration, data visualization, and insights into campaign finance and demographics. The company's product suite, which includes FiscalNote Core, CQ Federal, and EU Issue Tracker, supports businesses, government institutions, and nonprofits in effective policy management and risk mitigation. Additionally, with contributions from expert analysis firms, FiscalNote delivers comprehensive geopolitical and market intelligence services. By integrating policy intelligence into daily operations, FiscalNote empowers its clients to make informed decisions efficiently.
Zoomdata, Inc. specializes in developing data visualization and analytics systems tailored for big data environments. Its flagship application allows users to interact with modern big data technologies, including Apache Hadoop, Apache Spark, and NoSQL data stores. The platform features Data Sharpening technology for real-time and historical data analysis and Zoomdata Fusion, which enables the integration of big data with traditional data sources without requiring data movement or transformation. Users can create dashboards and fuse disparate data sources into a cohesive interface, facilitating collaboration and insights. Zoomdata's solutions are available for both cloud and on-premises deployment, catering to a variety of business needs. The company also supports developers through the Zoomdata Developer Network, which provides access to resources such as guides, code samples, and API documentation. Founded in 2012 and headquartered in Reston, Virginia, Zoomdata operates additional offices in San Mateo, California, and has formed strategic partnerships with firms like Deloitte and Unisys. As of June 2019, it operates as a subsidiary of Logi Analytics, Inc.
Databricks
Series B in 2014
Databricks Inc. offers a unified data analytics cloud platform that simplifies data engineering and supports collaborative data science. Its core product, Databricks, enables organizations to process and analyze large datasets efficiently, leveraging tools like Apache Spark. The platform is designed for real-time experimentation and robust deployment of production applications, catering to developers and data scientists. Additionally, Databricks provides Databricks Delta, a data management system that combines the scalability of a data warehouse with low-latency streaming capabilities. The company also offers MLflow for managing the machine learning lifecycle and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including healthcare, finance, manufacturing, and telecommunications. Founded in 2013 and headquartered in San Francisco, with additional offices in London, Amsterdam, and Bengaluru, Databricks has established strategic partnerships to enhance its offerings and foster innovation in data and AI technologies.
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
CrowdChat
Seed Round in 2014
CrowdChat is a company that offers a social engagement and big data analytics platform designed to facilitate public group conversations through hashtags on social media. Its cloud-based platform enables both consumers and businesses to participate in unified discussions in real time, maximizing reach and interaction. Utilizing its 1-Click Community technology, CrowdChat employs data science to analyze social media followers, providing valuable insights and analytics that measure social impact and engagement. The platform is free to use and encourages users to share comments and discussions publicly under specific hashtags, enhancing the overall value of social data engagement.
Elastic is a technology company that develops the open-source Elastic Stack, which includes Elasticsearch, Kibana, Beats, and Logstash, as well as commercial features through X-Pack and Elastic Cloud, a suite of SaaS offerings. The company's flagship product, Elasticsearch, is a distributed, RESTful search and analytics engine designed for scalability and speed, supporting diverse applications such as search, logging, metrics, and data security. With more than 250 million cumulative downloads, Elastic's solutions are utilized by a wide array of organizations, including Cisco, eBay, Goldman Sachs, NASA, and The New York Times, to manage mission-critical systems. The company's architecture is optimized for low latency and includes native vector database capabilities. Elastic has a global workforce of over 900 employees across 30 countries, reflecting its commitment to innovation and customer service in the field of data management and analytics.
Tamr, Inc. is an enterprise data unification company that specializes in providing data management solutions. The company offers a platform that utilizes machine learning combined with human expertise to identify and integrate diverse internal and external data sources, thereby enabling organizations to manage siloed data effectively. Tamr's services include enterprise data preparation, clinical data conversion, procurement optimization, and customer data integration, catering to various sectors such as financial services, life sciences, government, and manufacturing. Founded in 2013 by experienced professionals in the database industry, Tamr is headquartered in Cambridge, Massachusetts, with additional offices in major cities including New York, Seattle, San Francisco, Washington, D.C., and London. The company aims to deliver valuable insights from data, supporting clients in achieving successful business outcomes.
Igneous delivers the only Unstructured Data Management (UDM) as-a-Service solution, giving data-centric enterprises visibility, protection, and data mobility at scale. Igneous’ API-enabled, cloud-native solution combines all UDM functions so that organizations can tap the value of their unstructured data, while reducing risk and optimizing IT resource utilization. Kiran Bhageshpur and Byron Rakitzis founded the company in October 2013, with its headquarters in Seattle in Washington.
Kensho Technologies
Seed Round in 2014
Kensho Technologies, Inc. specializes in analytics, artificial intelligence, machine learning, and data visualization systems tailored for global banks and investment institutions. Founded in 2012 and headquartered in Cambridge, Massachusetts, with additional offices in New York, Virginia, and California, Kensho develops financial analytics software that enables scalable analytics solutions for commercial entities. Its offerings include Kensho Applied Mind, an AI software that enhances decision-making by addressing complex financial inquiries in natural language. The company also operates a national security division known as Koto. As of April 2018, Kensho operates as a subsidiary of S&P Global Inc.
Ravel Law
Series A in 2014
Ravel Law, Inc. operates a legal analytics platform that assists legal professionals in transforming vast amounts of legal data into actionable insights. Founded in 2012 and based in San Francisco, California, the company provides a suite of tools that includes court analytics, judge analytics, case analytics, and interactive visualizations. These resources help attorneys, law students, and legal researchers to analyze and interpret complex legal information effectively. By leveraging data-driven insights, Ravel Law enhances the ability of its users to prepare for litigation and make informed decisions. The company became a subsidiary of LexisNexis Legal & Professional Inc. in 2017, further expanding its reach and capabilities within the legal sector. Ravel Law originated from Stanford University's initiatives in legal informatics, highlighting its commitment to innovation in the legal field.
OpsClarity
Convertible Note in 2013
OpsClarity is a performance monitoring solution for modern applications and data infrastructure that helps DevOps and engineering teams to continuously visualize, understand and troubleshoot their complex and distributed business-critical applications and infrastructure. Built by alumni from Yahoo, eBay, Facebook, Twitter and Google, OpsClarity is the only solution that can dynamically adapt to and learn every component of a company’s modern fast data application and infrastructure and extract key insights needed to maximize performance and agility..
Silk is a cloud-based application that enables users to visualize their data online by the way of interactive web pages. Users can also share these data sets; invite others to edit them; embed them in publishing platforms such as Tumblr and WordPress; include price comparison charts, interactive salary databases, and more; organize images and videos; build location-based maps; covert spreadsheet into Silk pages; build personalized web applications; and so on. Silk was founded by Lon Boonen and Salar al Khafaji and is based in Amsterdam and San Francisco. The company is venture-backed by Atomico Ventures and New Enterprise Associates.
FiscalNote Holdings
Seed Round in 2013
FiscalNote is a provider of global policy and market intelligence solutions, utilizing artificial intelligence and big data to offer predictive analytics on governmental actions. Its flagship platform enables real-time legislative predictions and includes tools for enterprise collaboration, data visualization, and insights into campaign finance and demographics. The company's product suite, which includes FiscalNote Core, CQ Federal, and EU Issue Tracker, supports businesses, government institutions, and nonprofits in effective policy management and risk mitigation. Additionally, with contributions from expert analysis firms, FiscalNote delivers comprehensive geopolitical and market intelligence services. By integrating policy intelligence into daily operations, FiscalNote empowers its clients to make informed decisions efficiently.
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
Zoomdata, Inc. specializes in developing data visualization and analytics systems tailored for big data environments. Its flagship application allows users to interact with modern big data technologies, including Apache Hadoop, Apache Spark, and NoSQL data stores. The platform features Data Sharpening technology for real-time and historical data analysis and Zoomdata Fusion, which enables the integration of big data with traditional data sources without requiring data movement or transformation. Users can create dashboards and fuse disparate data sources into a cohesive interface, facilitating collaboration and insights. Zoomdata's solutions are available for both cloud and on-premises deployment, catering to a variety of business needs. The company also supports developers through the Zoomdata Developer Network, which provides access to resources such as guides, code samples, and API documentation. Founded in 2012 and headquartered in Reston, Virginia, Zoomdata operates additional offices in San Mateo, California, and has formed strategic partnerships with firms like Deloitte and Unisys. As of June 2019, it operates as a subsidiary of Logi Analytics, Inc.
WibiData is a software company that provides big data applications for enterprises to deliver personalized experiences across channels. Its platform is built on open-source technologies Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro and the Kiji Project. WibiData was founded under the name Odiago in 2010 by Christophe Bisciglia, Aaron Kimball and Garrett Wu. Based in San Francisco, Calif., WibiData is backed by Canaan Partners, New Enterprise Associates, SV Angel and several notable seed investors. For more information, visit www.wibidata.com.
Segment
Seed Round in 2013
Segment provides the customer data infrastructure that helps businesses put their customers first. Using Segment, companies can collect, unify, and connect their first-party to over 200 marketing, analytics, and data warehouse tools. It was founded in 2011 and headquartered in San Francisco, California.
Zoomdata
Seed Round in 2012
Zoomdata, Inc. specializes in developing data visualization and analytics systems tailored for big data environments. Its flagship application allows users to interact with modern big data technologies, including Apache Hadoop, Apache Spark, and NoSQL data stores. The platform features Data Sharpening technology for real-time and historical data analysis and Zoomdata Fusion, which enables the integration of big data with traditional data sources without requiring data movement or transformation. Users can create dashboards and fuse disparate data sources into a cohesive interface, facilitating collaboration and insights. Zoomdata's solutions are available for both cloud and on-premises deployment, catering to a variety of business needs. The company also supports developers through the Zoomdata Developer Network, which provides access to resources such as guides, code samples, and API documentation. Founded in 2012 and headquartered in Reston, Virginia, Zoomdata operates additional offices in San Mateo, California, and has formed strategic partnerships with firms like Deloitte and Unisys. As of June 2019, it operates as a subsidiary of Logi Analytics, Inc.
Pentaho Corporation is a data integration and business analytics company that offers an open-source platform designed for various big data deployments. Founded in 2004 and headquartered in Orlando, Florida, with an office in Tokyo, Japan, Pentaho provides a comprehensive suite of tools for data analysis, visualization, reporting, and predictive analytics. Its platform facilitates the extraction, preparation, and blending of data, enabling organizations to uncover actionable insights. Pentaho also specializes in embedded analytics solutions, cloud business analytics, and integration of Internet of Things data, allowing businesses to synthesize information from both traditional systems and big data environments. Additionally, the company offers custom dashboards, visualizations, consulting, training, and technical support services. With a diverse clientele across industries such as healthcare, retail, and financial services, Pentaho serves over 1,200 enterprise customers worldwide. The company is recognized for its contributions to key open-source analytics projects and operates under a subscription-based business model.
Silk is a cloud-based application that enables users to visualize their data online by the way of interactive web pages. Users can also share these data sets; invite others to edit them; embed them in publishing platforms such as Tumblr and WordPress; include price comparison charts, interactive salary databases, and more; organize images and videos; build location-based maps; covert spreadsheet into Silk pages; build personalized web applications; and so on. Silk was founded by Lon Boonen and Salar al Khafaji and is based in Amsterdam and San Francisco. The company is venture-backed by Atomico Ventures and New Enterprise Associates.
Recce collects all the myriad sources of location and geodata into a rich, interactive map.
Ravel Law
Seed Round in 2012
Ravel Law, Inc. operates a legal analytics platform that assists legal professionals in transforming vast amounts of legal data into actionable insights. Founded in 2012 and based in San Francisco, California, the company provides a suite of tools that includes court analytics, judge analytics, case analytics, and interactive visualizations. These resources help attorneys, law students, and legal researchers to analyze and interpret complex legal information effectively. By leveraging data-driven insights, Ravel Law enhances the ability of its users to prepare for litigation and make informed decisions. The company became a subsidiary of LexisNexis Legal & Professional Inc. in 2017, further expanding its reach and capabilities within the legal sector. Ravel Law originated from Stanford University's initiatives in legal informatics, highlighting its commitment to innovation in the legal field.
WibiData is a software company that provides big data applications for enterprises to deliver personalized experiences across channels. Its platform is built on open-source technologies Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro and the Kiji Project. WibiData was founded under the name Odiago in 2010 by Christophe Bisciglia, Aaron Kimball and Garrett Wu. Based in San Francisco, Calif., WibiData is backed by Canaan Partners, New Enterprise Associates, SV Angel and several notable seed investors. For more information, visit www.wibidata.com.
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
MapR Technologies is a provider of a next-generation data platform designed to support AI and analytics for enterprises. The platform enables organizations to integrate analytics into their business processes, enhancing revenue, reducing costs, and addressing risks. MapR effectively manages the complexities associated with large-scale distributed processing, covering various environments from the cloud to edge computing and IoT analytics. The company's offerings include real-time database capabilities and enterprise-grade data protection, ensuring business continuity and facilitating the digital transformation of data across sectors such as marketing, security, and IT operations. A range of prominent companies, including Amazon, Cisco, Google, Microsoft, and SAP, rely on the MapR Data Platform to tackle their most intricate challenges in AI and analytics.
Tableau Software
Series B in 2008
Tableau Software is a prominent company in the business intelligence sector, focused on helping individuals and organizations visualize and understand their data. The company develops and sells an analytics and visualization platform that allows users to analyze data easily and efficiently. Primarily delivered as an on-premises solution, Tableau's software provides a secure and flexible analytical environment for its customers. Since its successful IPO in 2013, Tableau has established itself as a leader in the industry, fostering a high-energy culture that emphasizes work/life balance, customer service, and a commitment to making a positive impact.
Pentaho Corporation is a data integration and business analytics company that offers an open-source platform designed for various big data deployments. Founded in 2004 and headquartered in Orlando, Florida, with an office in Tokyo, Japan, Pentaho provides a comprehensive suite of tools for data analysis, visualization, reporting, and predictive analytics. Its platform facilitates the extraction, preparation, and blending of data, enabling organizations to uncover actionable insights. Pentaho also specializes in embedded analytics solutions, cloud business analytics, and integration of Internet of Things data, allowing businesses to synthesize information from both traditional systems and big data environments. Additionally, the company offers custom dashboards, visualizations, consulting, training, and technical support services. With a diverse clientele across industries such as healthcare, retail, and financial services, Pentaho serves over 1,200 enterprise customers worldwide. The company is recognized for its contributions to key open-source analytics projects and operates under a subscription-based business model.
Pentaho Corporation is a data integration and business analytics company that offers an open-source platform designed for various big data deployments. Founded in 2004 and headquartered in Orlando, Florida, with an office in Tokyo, Japan, Pentaho provides a comprehensive suite of tools for data analysis, visualization, reporting, and predictive analytics. Its platform facilitates the extraction, preparation, and blending of data, enabling organizations to uncover actionable insights. Pentaho also specializes in embedded analytics solutions, cloud business analytics, and integration of Internet of Things data, allowing businesses to synthesize information from both traditional systems and big data environments. Additionally, the company offers custom dashboards, visualizations, consulting, training, and technical support services. With a diverse clientele across industries such as healthcare, retail, and financial services, Pentaho serves over 1,200 enterprise customers worldwide. The company is recognized for its contributions to key open-source analytics projects and operates under a subscription-based business model.
Tableau Software
Series A in 2004
Tableau Software is a prominent company in the business intelligence sector, focused on helping individuals and organizations visualize and understand their data. The company develops and sells an analytics and visualization platform that allows users to analyze data easily and efficiently. Primarily delivered as an on-premises solution, Tableau's software provides a secure and flexible analytical environment for its customers. Since its successful IPO in 2013, Tableau has established itself as a leader in the industry, fostering a high-energy culture that emphasizes work/life balance, customer service, and a commitment to making a positive impact.
Engenia Software
Series B in 1999
Engenia Software, developer of an XML-based, Web-enabled, out-of-the-box "Intelligent Dashboard" for the computer desktop.
Silicon Graphics International
Venture Round in 1990
Silicon Graphics International Corp. (SGI), originally founded in the early 1980s, began as a pioneer in developing high-performance graphics technology, enabling small computers to produce advanced three-dimensional graphics for the entertainment industry. SGI's innovations contributed to iconic visual effects in films such as "Jurassic Park" and "Terminator 2." Over the years, the company evolved beyond its initial focus, becoming a leader in high-performance computing solutions for various sectors, including finance, healthcare, and research. Following its acquisition by Rackable Systems in 2009, SGI shifted its emphasis to data analytics and management, offering advanced computing systems like ICE™ and UV™, known for their speed and energy efficiency. SGI provides tailored storage solutions, including Intelligent Data Management and InfiniteStorage™ platforms, addressing the growing challenges of Big Data. With over three decades of experience, SGI continues to support diverse industries by enhancing innovation and efficiency through its cutting-edge technology.