New Enterprise Associates

New Enterprise Associates, Inc. is a global venture capital and private equity firm based in Menlo Park, California, founded in 1977. The firm specializes in investments across various stages of company development, from seed and startup to later-stage growth and public investments. With over $19 billion in cumulative committed capital, NEA focuses on technology and healthcare sectors, particularly in areas such as consumer internet, financial technology, software, healthcare services, life sciences, and energy technology. The firm also invests in semiconductor companies and alternative energy initiatives in India. NEA has a proven track record, with more than 210 portfolio company IPOs and over 360 acquisitions. The firm's investment strategy encompasses a global perspective, targeting opportunities in North America, Asia, and South America, and typically involves investments ranging from $0.05 million to $20 million.

Michael Albert

Associate

Kate Barrett

Partner, Communications

Peter Barris

Chairman

Forest Baskett

General Partner

Ali Behbahani

General Partner

Ron Bernal

Venture Partner

Ann Bordetsky

Partner

Zak Burns

Associate

James Buxton

Principal

Carmen Chang

Partner and Head of Asia

Philip Chopin

Managing Director, NEA UK

Brandon Christie

Principal

Pamela Clark

General Partner

Vanessa Deng

Associate

Chris Doppman

Managing Director, LP Relations

Tony Florence

General Partner

Qiang Fu

Vice President

Robert Garland

Venture Partner

Jonathan Golden

Partner

Jay Graf

Venture Partner

Arjun Jain

Senior Associate

Ronald Kase

General Partner

Patrick Kerins

General Partner

Nick Kline

Partner, LP Relations

David Kramlich

Associate

Liza Landsman

General Partner

Danielle Lay

Principal

Tiffany Le

Senior Associate

Michael Li

Investor

Tiffany Luck

Partner

Mohamad Makhzoumi

General Partner

Ed Mathers

Partner and Board Member

Matthew McAviney

Partner

Robert J. McGovern

Venture Partner

Kemi Odusan

Investor

Jess Ou

Principal

Greg Papadopoulos

Venture Partner

Luke Pappas

Partner

Michele Park

Partner

Arno Penzias

Venture Partner

Justine Potemkin

Investor

Scott Sandell

Managing General Partner

Tim Schaller

CFO

Andrew Schoen

Partner

Brooke Seawell

Venture Partner - Menlo Park

Alex Sharata

Associate

Peter Sonsini

General Partner

Brad Thawley

Partner, Limited Partner Relations

Blake Wu

Partner

Lulu Xu

Principal

Edison Zhang

Associate

J.C. Lopez MD

Principal on NEA's Healthcare Team

Past deals in Data Mining

Snowplow

Series B in 2022
Snowplow Analytics Limited is a cloud-based data collection platform that specializes in providing granular data for research and analytics. Founded in 2011 and headquartered in London, the company operates its pipeline within the client's cloud account, ensuring real-time data access and complete ownership. The platform runs natively on Amazon Web Services and Google Cloud Platform, making it a scalable solution for various industries, including media, telecommunications, retail, and travel. Snowplow enables users to identify and track engagement on websites or applications, store behavioral data in a user-controlled event data warehouse, and integrate web analytics with third-party data sources, such as marketing and customer relationship management data. Additionally, it allows users to utilize a wide range of analysis tools to interpret and analyze this data effectively.

Graft

Pre Seed Round in 2022
Graft is a cloud-native platform that uses AI techniques to unlock the value of text, images, video, audio, and graphs. There is no requirement for machine learning skills, no need to hire a team, and no infrastructure to build or maintain.

Datafold

Series A in 2021
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.

Sisu

Series C in 2021
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.

Databricks

Series H in 2021
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.
Personal Genome Diagnostics develops a patient-specific analysis of the cancer genome by using advanced tools and technologies. They were the first to sequence and analyze whole human cancer exomes and subsequently identified many alterations responsible for the development of cancer. They have described the principles underlying the genetic basis of human cancer and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Through PGDx, our founders bring their proprietary methods and expertise to research teams worldwide. The services help oncologists and translational scientists sequence and analyze cancer genomes and identify mutations to characterize aspects of the disease. Their expertise in genome analysis ranges from sample preparation and sequencing to data interpretation and analysis. They specialize in high-throughput next-generation sequencing and proprietary algorithms to identify alterations in complex cancer genomes and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Personal Genome Diagnostics was founded in 2010 and is based in Baltimore, Maryland, United States.

Databricks

Series G in 2021
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

Datafold

Seed Round in 2020
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.

Datafold

Seed Round in 2020
Datafold Inc., founded in 2020 and based in San Francisco, California, specializes in solutions for quality assurance and monitoring of analytical data. The company provides tools that automate data quality management, helping organizations extract greater value from their analytical datasets. Key offerings include the ability to compare tables, validate ETL code changes, and automate data quality assurance processes. By simplifying data quality monitoring and enabling instant table comparison and profiling, Datafold enhances data engineering workflows, allowing businesses to maintain high standards of data integrity and reliability.

DataRobot

Series F in 2020
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

Matroid

Series B in 2020
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

ClearMetal

Series A in 2020
ClearMetal, Inc. develops artificial intelligence software for supply chain operations. It offers transport and supply chain visibility solutions through the cloud-based web application, decision support, predictive risk, event predictions, and smart processing and cleaning. ClearMetal, Inc. was incorporated in 2014 and is based in San Francisco, California.

Databricks

Series F in 2019
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

Sisu

Series B in 2019
Sisu is the fastest and most comprehensive diagnostic platform for structured data. Based on years of research at Stanford University and proven at scale at Microsoft, Facebook and Google, Sisu’s diagnostic analytics platform combines machine learning and powerful statistical analysis to help anyone get answers to their toughest business questions. To learn more about Sisu, visit www.sisu.ai.

DataRobot

Series E in 2019
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

Intelligence Node

Series B in 2019
Intelligence Node Consulting Pvt. Ltd. designs and develops database software solutions for merchandisers. It offers iNCompetitor, a pricing and assortment data platform for online and offline retailers; and iNOptimizer, a tool that uses price and merchandising algorithms to adjust pricing and assortment aspects to gain profit margins. The company was incorporated in 2012 and is based in Mumbai, India with operations in London, United Kingdom; and New York, New York.

Heap

Series C in 2019
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Node

Venture Round in 2019
Node, recently acquired by SugarCRM, fuels Sugar's time-aware CX platform to help businesses by automatically forecasting expected outcomes and highlighting previously unforeseen challenges and opportunities. Extending Sugar’s time-aware CX platform, Node’s AI technology adds the most coveted element of time—the future. The combined solution offers wide-ranging capabilities for sales, marketing, and service teams. Node enables users of business applications to see into the future. Powered by Artificial Intuition™ technology, Node is the first turnkey AI-as-a-service platform focused on powering predictable business outcomes, which enterprises can use to quickly and seamlessly build advanced AI into both customer-facing and internal applications without investing years and millions of dollars on risky AI experiments. Applications powered by Node can deliver predictions that enable users to make smarter connections and decisions about how to engage with customers, employees, investors, and partners. Node was founded by Google's youngest employee, Falon Fatemi, and it's renowned technology team includes the Godfather of Search, Louis Monier who created Alta Vista, and Michael Radovancevich former CTO of Taleo and OpenX. Node is backed by Mark Cuban, NEA, Avalon Ventures, and JetBlue Technology Ventures.

Metabase

Series A in 2019
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.

Metabase

Venture Round in 2019
Developer of an open-source analytics and business intelligence platform designed to measure, analyze and share data to deal with the complexity. The company's platform offers a number of professional services like managed hosting, support and assistance with implementing a custom analytics or business intelligence setup, enabling businesses to observe data over time and see trends.

Databricks

Series E in 2019
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

Big Data Federation

Venture Round in 2019
Big Data Federation, Inc. develops and provides big data and analytics solutions such as artificial intelligence to predict financial, economical, and world events. The company offers PredictionValley, cloud based machine-learning platform which provides buy or sell signals to enable trading decisions based on predicted fundamentals and stock movements around earnings. Big Data Federation, Inc. was incorporated in 2015 and is headquartered in Palo Alto, California.

Infoworks.io

Series C in 2018
Infoworks' Enterprise Data Operations and Orchestration (EDO2) system was built to automate and accelerate development, deployment and orchestration of analytics projects at scale, in cloud, hybrid, multi-cloud, and premise-based environments. Through deep automation and a code-free environment, Infoworks empowers organizations to rapidly consolidate and organize enterprise data, create analytics pipelines and deploy projects to production within days – dramatically increasing business agility and accelerating time-to-value. Infoworks counts some of the world’s largest financial, retail, technology, healthcare, oil & gas, and manufacturing companies as its customers.

DataRobot

Series D in 2018
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

HEAVY.AI

Series C in 2018
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.

Enigma

Series C in 2018
Enigma Technologies, Inc. is a New York-based operational data management and intelligence company that offers a comprehensive searchable database of public records and documents. Its core offerings include Enigma Data Infrastructure, which encompasses tools for data operations and search capabilities, and Enigma Solutions, tailored products and services for industries such as financial services, healthcare, and insurance. The company provides analysis-ready public data and operates Enigma Labs to develop open data tools for public use. Additionally, Enigma offers an application programming interface (API) to facilitate application development and various data services, including entity resolution and custom data acquisition. By delivering timely and accurate insights into small businesses' identities and risk profiles, Enigma supports organizations like American Express and PayPal in making informed operational decisions. Founded in 2011, Enigma continues to bridge the gap between data and workflows, enhancing decision-making processes across sectors.

Tamr

Series B in 2018
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise. Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively. Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.

DataVisor

Series C in 2018
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.
Personal Genome Diagnostics develops a patient-specific analysis of the cancer genome by using advanced tools and technologies. They were the first to sequence and analyze whole human cancer exomes and subsequently identified many alterations responsible for the development of cancer. They have described the principles underlying the genetic basis of human cancer and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Through PGDx, our founders bring their proprietary methods and expertise to research teams worldwide. The services help oncologists and translational scientists sequence and analyze cancer genomes and identify mutations to characterize aspects of the disease. Their expertise in genome analysis ranges from sample preparation and sequencing to data interpretation and analysis. They specialize in high-throughput next-generation sequencing and proprietary algorithms to identify alterations in complex cancer genomes and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Personal Genome Diagnostics was founded in 2010 and is based in Baltimore, Maryland, United States.

ClearMetal

Series A in 2017
ClearMetal, Inc. develops artificial intelligence software for supply chain operations. It offers transport and supply chain visibility solutions through the cloud-based web application, decision support, predictive risk, event predictions, and smart processing and cleaning. ClearMetal, Inc. was incorporated in 2014 and is based in San Francisco, California.

Matroid

Series A in 2017
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

MapR

Venture Round in 2017
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

Databricks

Series D in 2017
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

DataRobot

Series C in 2017
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

Node

Series A in 2017
Node, recently acquired by SugarCRM, fuels Sugar's time-aware CX platform to help businesses by automatically forecasting expected outcomes and highlighting previously unforeseen challenges and opportunities. Extending Sugar’s time-aware CX platform, Node’s AI technology adds the most coveted element of time—the future. The combined solution offers wide-ranging capabilities for sales, marketing, and service teams. Node enables users of business applications to see into the future. Powered by Artificial Intuition™ technology, Node is the first turnkey AI-as-a-service platform focused on powering predictable business outcomes, which enterprises can use to quickly and seamlessly build advanced AI into both customer-facing and internal applications without investing years and millions of dollars on risky AI experiments. Applications powered by Node can deliver predictions that enable users to make smarter connections and decisions about how to engage with customers, employees, investors, and partners. Node was founded by Google's youngest employee, Falon Fatemi, and it's renowned technology team includes the Godfather of Search, Louis Monier who created Alta Vista, and Michael Radovancevich former CTO of Taleo and OpenX. Node is backed by Mark Cuban, NEA, Avalon Ventures, and JetBlue Technology Ventures.

Heap

Series B in 2017
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

HEAVY.AI

Series B in 2017
OmniSci, Inc. specializes in accelerated analytics solutions powered by graphics processing units (GPUs). Its analytics platform enables users to interactively query and visualize data, facilitating data science workflows across vast datasets. This technology is utilized by various sectors, including automotive, insurance, investment management, logistics, media, oil and gas, pharmaceuticals, telecommunications, utilities, and public services. The platform stands out by allowing organizations to derive insights from data far beyond the capabilities of conventional analytics tools. OmniSci's origins trace back to research at Harvard and the MIT Computer Science and Artificial Intelligence Laboratory. Established in 2013 and headquartered in San Francisco, the company has formed strategic partnerships with several prominent investors and firms, including Google Ventures, In-Q-Tel, and NVIDIA. OmniSci aims to support both business and government entities in leveraging data for informed decision-making.

Matroid

Seed Round in 2017
Matroid, Inc. is a computer vision company based in Palo Alto, California, founded in 2016. It offers an intuitive platform that enables users to create and deploy custom computer vision detectors without the need for programming. The platform allows users to recognize specific people, events, and objects in visual media, monitor live television streams, and receive real-time notifications for custom events detected by security cameras. Matroid's solutions find applications across various industries, including construction, manufacturing, security, media, and retail. The company also provides Matroid On-Prem, a deployment solution that facilitates the monitoring of live streams and the searching of recorded video, enhancing the ability to respond to significant events as they occur.

Databricks

Series C in 2016
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

Heap

Series A in 2016
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

MapR

Venture Round in 2016
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

Node

Seed Round in 2016
Node, recently acquired by SugarCRM, fuels Sugar's time-aware CX platform to help businesses by automatically forecasting expected outcomes and highlighting previously unforeseen challenges and opportunities. Extending Sugar’s time-aware CX platform, Node’s AI technology adds the most coveted element of time—the future. The combined solution offers wide-ranging capabilities for sales, marketing, and service teams. Node enables users of business applications to see into the future. Powered by Artificial Intuition™ technology, Node is the first turnkey AI-as-a-service platform focused on powering predictable business outcomes, which enterprises can use to quickly and seamlessly build advanced AI into both customer-facing and internal applications without investing years and millions of dollars on risky AI experiments. Applications powered by Node can deliver predictions that enable users to make smarter connections and decisions about how to engage with customers, employees, investors, and partners. Node was founded by Google's youngest employee, Falon Fatemi, and it's renowned technology team includes the Godfather of Search, Louis Monier who created Alta Vista, and Michael Radovancevich former CTO of Taleo and OpenX. Node is backed by Mark Cuban, NEA, Avalon Ventures, and JetBlue Technology Ventures.

LinkDoc

Series B in 2016
LinkDoc Technology Limited develops medical data solutions and oncology big data platforms. It offers clinical structured data for oncology hospitals and hospitals to assist hospitals in solving scientific and clinical problems. The company was founded in 2014 and is headquartered in Beijing, China.

ClearMetal

Seed Round in 2016
ClearMetal, Inc. develops artificial intelligence software for supply chain operations. It offers transport and supply chain visibility solutions through the cloud-based web application, decision support, predictive risk, event predictions, and smart processing and cleaning. ClearMetal, Inc. was incorporated in 2014 and is based in San Francisco, California.

Zoomdata

Series C in 2016
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.

DataRobot

Series B in 2016
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.
Personal Genome Diagnostics develops a patient-specific analysis of the cancer genome by using advanced tools and technologies. They were the first to sequence and analyze whole human cancer exomes and subsequently identified many alterations responsible for the development of cancer. They have described the principles underlying the genetic basis of human cancer and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Through PGDx, our founders bring their proprietary methods and expertise to research teams worldwide. The services help oncologists and translational scientists sequence and analyze cancer genomes and identify mutations to characterize aspects of the disease. Their expertise in genome analysis ranges from sample preparation and sequencing to data interpretation and analysis. They specialize in high-throughput next-generation sequencing and proprietary algorithms to identify alterations in complex cancer genomes and have developed novel technologies for non-invasive “liquid biopsy” approaches in cancer. Personal Genome Diagnostics was founded in 2010 and is based in Baltimore, Maryland, United States.

DataVisor

Series A in 2015
DataVisor is the fraud and financial crime detection service utilizing unsupervised machine learning to identify attack campaigns before they conduct any damage. DataVisor protects some of the largest organizations in the world from attacks such as account takeovers, fake account creation, money laundering, fake social posts, fraudulent transactions and more.

Tamr

Series B in 2015
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise. Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively. Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.

Lattice Engines

Series D in 2015
Lattice Engines, Inc. is a software company that develops SaaS-based predictive applications tailored for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, Lattice provides a suite of solutions designed to enhance sales and marketing effectiveness. Key offerings include Lattice Atlas, which integrates multiple data sources to build targeted audiences using artificial intelligence, and Lattice for Salesforce, which delivers sales analytics. The company also offers predictive insights for marketing programs through Lattice for Marketo, as well as tools for lead scoring, customer retention, and targeted selling strategies. These applications leverage advanced machine learning to analyze buying signals and improve marketing performance. Lattice has established a strategic partnership with Engagio Inc. and operates additional offices in Austin, Boston, and New York. As of July 2019, it functions as a subsidiary of The Dun & Bradstreet Corporation.

Intelligence Node

Series A in 2015
Intelligence Node Consulting Pvt. Ltd. designs and develops database software solutions for merchandisers. It offers iNCompetitor, a pricing and assortment data platform for online and offline retailers; and iNOptimizer, a tool that uses price and merchandising algorithms to adjust pricing and assortment aspects to gain profit margins. The company was incorporated in 2012 and is based in Mumbai, India with operations in London, United Kingdom; and New York, New York.

Enigma

Series B in 2015
Enigma Technologies, Inc. is a New York-based operational data management and intelligence company that offers a comprehensive searchable database of public records and documents. Its core offerings include Enigma Data Infrastructure, which encompasses tools for data operations and search capabilities, and Enigma Solutions, tailored products and services for industries such as financial services, healthcare, and insurance. The company provides analysis-ready public data and operates Enigma Labs to develop open data tools for public use. Additionally, Enigma offers an application programming interface (API) to facilitate application development and various data services, including entity resolution and custom data acquisition. By delivering timely and accurate insights into small businesses' identities and risk profiles, Enigma supports organizations like American Express and PayPal in making informed operational decisions. Founded in 2011, Enigma continues to bridge the gap between data and workflows, enhancing decision-making processes across sectors.

Turi

Series B in 2015
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.

LinkDoc

Series A in 2015
LinkDoc Technology Limited develops medical data solutions and oncology big data platforms. It offers clinical structured data for oncology hospitals and hospitals to assist hospitals in solving scientific and clinical problems. The company was founded in 2014 and is headquartered in Beijing, China.

Zoomdata

Series B in 2014
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.

DataRobot

Series A in 2014
DataRobot, Inc. develops an automated machine learning platform designed to help enterprises build predictive models efficiently. The company's offerings include DataRobot Cloud, a predictive analytics platform available on-site or via the cloud, and DataRobot MLOps, which focuses on the deployment, monitoring, and management of machine learning models within organizations. Additionally, DataRobot Enterprise provides features such as flexible deployment, governance, and support, along with packages aimed at accelerating artificial intelligence projects and education services. The platform is suitable for a diverse range of professionals, including business analysts, data scientists, and IT specialists across various industries like banking, healthcare, and marketing. Founded in 2012 and headquartered in Boston, Massachusetts, DataRobot also maintains operations in several international locations, including London, Paris, Kyiv, Tokyo, and Singapore. The company has established strategic partnerships to enhance its offerings in the competitive AI landscape.

MapR

Series D in 2014
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

Databricks

Series B in 2014
Databricks Inc. offers a unified data analytics cloud platform focused on simplifying data engineering and collaborative data science. The company's platform facilitates data integration, real-time experimentation, and the deployment of production applications for developers and data scientists. Key products include Databricks, a cloud-based data processing solution, Databricks Delta for unified data management, MLflow for managing the machine learning lifecycle, and Delta Lake for handling batch and streaming data. Databricks serves a diverse range of industries, including advertising, healthcare, financial services, and manufacturing. The company, founded in 2013 and headquartered in San Francisco with additional offices in London, Amsterdam, and Bengaluru, has formed strategic partnerships with various technology firms. Additionally, Databricks Ventures invests in companies that align with its vision for data, analytics, and artificial intelligence, particularly through initiatives like the Lakehouse Fund, which supports the development of the lakehouse architecture.

Tamr

Series A in 2014
Tamr is an enterprise data unification company that is cost-effective, scalable, and accessible to any enterprise. Following the success of initial research at MIT CSAIL, the Tamr team began building a commercial-grade solution designed to tackle the challenge of connecting and enriching diverse data at scale, quickly and cost effectively. Launched in the spring of 2014 and backed by a series of investors, such as Google Ventures and New Enterprise Associates, Tamr is deployed in production at a variety organizations, including information services providers, pharmaceutical firms and retailers. Tamr, based in Cambridge, Massachusetts, was founded in 2013 by database industry veterans Andy Palmer, Mike Stonebraker and Ihab Ilyas with George Beskales, Daniel Bruckner and Alex Pagan.

Freshplum

Seed Round in 2014
Freshplum is a company that specializes in data analytic software aimed at enhancing decision-making for businesses involved in electronic commerce. By offering revenue analytic tools, Freshplum empowers companies to leverage data science to optimize their sales strategies and improve overall performance. The focus is on delivering insights that help businesses better understand their revenue streams and make informed decisions to drive growth.

Weidian Group

Venture Round in 2014
Koudai Shopping is intelligent mobile shopping software which recommends targeted products according to user’s personal style, enabling them to shop on Taobao anytime and anywhere. It offers recommendations of various shops, fashion matching, trendy competitive products, special sales of new arrivals, editor's choice, and more. Koudai Shopping enables users to review shopping comments by fashionable ladies and beauty experts.

MapR

Series C in 2013
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

TalentBin

Series A in 2013
TalentBin is a talent search engine designed for technical recruiters and hiring managers to locate passive candidates. Founded in 2011 and based in San Francisco, California, the platform provides access to a comprehensive database of candidates. It includes detailed information about candidates' professional and personal interests, as well as personal email addresses and social communication channels. Additionally, TalentBin offers organizational tools that help recruiters manage their hiring processes through notes, stages, tasks, and reminders. This functionality enables more efficient and targeted recruitment efforts.

Zoomdata

Series A in 2013
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.

Turi

Series A in 2013
Turi is a machine learning platform that creates big data analytics products for its users. This open source project was initially intended for applying large scale machine learning to graph analysis. The functionality of its product has since been greatly expanded to include tables, text, as well as images and is now in broad use to make recommendations, detect fraud, conduct customer sentiment analysis, and generally build predictive apps at many notable e-tailers, service providers, and Fortune 5000 firms, including Zillow, ExxonMobil, StumbleUpon, Adobe, Pandora, and Bosch. Turi was launched as Dato in 2013 by Danny Bickson, Haijie Gu, Yucheng Low, Joseph Gonzalez, and Carlos Guestrin. It is based in Seattle, W.A.

WibiData

Series B in 2013
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.

Lattice Engines

Series C in 2012
Lattice Engines, Inc. is a software company that develops SaaS-based predictive applications tailored for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, Lattice provides a suite of solutions designed to enhance sales and marketing effectiveness. Key offerings include Lattice Atlas, which integrates multiple data sources to build targeted audiences using artificial intelligence, and Lattice for Salesforce, which delivers sales analytics. The company also offers predictive insights for marketing programs through Lattice for Marketo, as well as tools for lead scoring, customer retention, and targeted selling strategies. These applications leverage advanced machine learning to analyze buying signals and improve marketing performance. Lattice has established a strategic partnership with Engagio Inc. and operates additional offices in Austin, Boston, and New York. As of July 2019, it functions as a subsidiary of The Dun & Bradstreet Corporation.

Zoomdata

Seed Round in 2012
Zoomdata, Inc. specializes in developing and deploying data visualization and analytics systems tailored for big data environments. The company's flagship product, Zoomdata, is designed to help users interact with and visualize vast datasets from modern technologies such as Apache Hadoop, Apache Spark, and various NoSQL data stores. It features innovative functionalities including Data Sharpening for real-time analytics, Zoomdata Fusion for integrating diverse data sources without data movement, and tools for multi-source analysis. The platform is accessible on both cloud and on-premises deployments, and its mobile-friendly interface allows users to create dashboards and collaborate effectively on data-driven insights. Zoomdata also maintains a Developer Network that provides resources like guides and API documentation. Founded in 2012 and headquartered in Reston, Virginia, with an additional office in San Mateo, California, the company has established strategic partnerships with firms such as Deloitte and Unisys, and operates as a subsidiary of Logi Analytics.

Pentaho

Series C in 2012
Pentaho Corporation is a data integration and business analytics company that specializes in providing an open-source platform for big data applications. Founded in 2004 and headquartered in Orlando, Florida, with an additional office in Tokyo, Japan, Pentaho offers a comprehensive suite of tools that enable organizations to analyze, visualize, and report on data from various sources. Its platform includes capabilities for data extraction, preparation, and blending, as well as embedded analytics solutions that integrate with applications and processes. Pentaho serves a diverse range of industries, including healthcare, retail, financial services, and government, and has a global presence with over 1,200 enterprise customers. The company also provides consulting, training, and support services, emphasizing its commitment to helping organizations leverage their data for improved decision-making and operational efficiency. As a recognized leader in the field, Pentaho is known for its stewardship of key open-source analytics projects, such as Kettle, Weka, and Mondrian.

Recce

Series A in 2012
Recce collects all the myriad sources of location and geodata into a rich, interactive map.

WibiData

Series A in 2012
WibiData is a software company that specializes in big data applications aimed at helping enterprises create personalized experiences across various channels. Founded in 2010 in San Francisco under the name Odiago by Christophe Bisciglia, Aaron Kimball, and Garrett Wu, WibiData leverages open-source technologies such as Apache Hadoop, Apache Cassandra, Apache HBase, Apache Avro, and the Kiji Project. The company is supported by several notable investors, including Canaan Partners and New Enterprise Associates. Through its innovative platform, WibiData enables organizations to effectively analyze and utilize their data for enhanced customer engagement.

Freshplum

Seed Round in 2011
Freshplum is a company that specializes in data analytic software aimed at enhancing decision-making for businesses involved in electronic commerce. By offering revenue analytic tools, Freshplum empowers companies to leverage data science to optimize their sales strategies and improve overall performance. The focus is on delivering insights that help businesses better understand their revenue streams and make informed decisions to drive growth.

MapR

Series B in 2011
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

MapR

Series A in 2009
MapR Technologies, a provider of the industry's next-generation data platform for AI and Analytics, enables enterprises to inject analytics into their business processes to increase revenue, reduce costs, and mitigate risks. MapR addresses the data complexities of high-scale and mission-critical distributed processing from the cloud to the edge, IoT analytics, and container persistence. Global 2000 enterprises trust the MapR Data Platform to help them solve their most complex AI and analytics challenges. Amazon, Cisco, Google, Microsoft, SAP, and other leading businesses are all part of the MapR ecosystem.

Vertica

Series B in 2007
Vertica Systems, Inc. specializes in data management solutions focused on storing and querying large databases. Its primary offerings include the Vertica Analytic Database, which facilitates data analysis, and Vertica for the Cloud, a cloud-based analytic database designed for efficient data management. Additionally, the company provides a hardware/software appliance that enables near-real-time and ad hoc queries. Vertica's products cater to a variety of business needs, including data warehousing, fraud detection, and compliance with industry regulations. Founded in 2005 and headquartered in Billerica, Massachusetts, Vertica has established strategic partnerships with companies such as HP and Red Hat. The Vertica Startup Accelerator program supports early-stage companies by providing them access to the Vertica Advanced Analytics Platform, allowing them to develop solutions tailored to the challenges of big data. This initiative includes training, community support, and entry to the Vertica Marketplace, aiming to empower the next generation of entrepreneurs in harnessing data analytics for business growth.

Minekey

Seed Round in 2006
Minekey, Inc. operates an online discussion network that facilitates conversations among users on a variety of topics, including relationships, social and political issues, religion, pop culture, and lifestyle. Founded in 2005 and headquartered in Sunnyvale, California, with research and development offices in India, Minekey has engaged over 2.5 million participants in its community. The company is also known for its technology-driven services, such as Twezr, a personal organizer that consolidates contacts and shared content from various platforms like email and social media. Additionally, Minekey offers a content discovery service aimed at enhancing user experience for online publishers by delivering relevant content tailored to users' interests and browsing history.

Pentaho

Series B in 2006
Pentaho Corporation is a data integration and business analytics company that specializes in providing an open-source platform for big data applications. Founded in 2004 and headquartered in Orlando, Florida, with an additional office in Tokyo, Japan, Pentaho offers a comprehensive suite of tools that enable organizations to analyze, visualize, and report on data from various sources. Its platform includes capabilities for data extraction, preparation, and blending, as well as embedded analytics solutions that integrate with applications and processes. Pentaho serves a diverse range of industries, including healthcare, retail, financial services, and government, and has a global presence with over 1,200 enterprise customers. The company also provides consulting, training, and support services, emphasizing its commitment to helping organizations leverage their data for improved decision-making and operational efficiency. As a recognized leader in the field, Pentaho is known for its stewardship of key open-source analytics projects, such as Kettle, Weka, and Mondrian.

Vertica

Series A in 2006
Vertica Systems, Inc. specializes in data management solutions focused on storing and querying large databases. Its primary offerings include the Vertica Analytic Database, which facilitates data analysis, and Vertica for the Cloud, a cloud-based analytic database designed for efficient data management. Additionally, the company provides a hardware/software appliance that enables near-real-time and ad hoc queries. Vertica's products cater to a variety of business needs, including data warehousing, fraud detection, and compliance with industry regulations. Founded in 2005 and headquartered in Billerica, Massachusetts, Vertica has established strategic partnerships with companies such as HP and Red Hat. The Vertica Startup Accelerator program supports early-stage companies by providing them access to the Vertica Advanced Analytics Platform, allowing them to develop solutions tailored to the challenges of big data. This initiative includes training, community support, and entry to the Vertica Marketplace, aiming to empower the next generation of entrepreneurs in harnessing data analytics for business growth.

Pentaho

Series A in 2005
Pentaho Corporation is a data integration and business analytics company that specializes in providing an open-source platform for big data applications. Founded in 2004 and headquartered in Orlando, Florida, with an additional office in Tokyo, Japan, Pentaho offers a comprehensive suite of tools that enable organizations to analyze, visualize, and report on data from various sources. Its platform includes capabilities for data extraction, preparation, and blending, as well as embedded analytics solutions that integrate with applications and processes. Pentaho serves a diverse range of industries, including healthcare, retail, financial services, and government, and has a global presence with over 1,200 enterprise customers. The company also provides consulting, training, and support services, emphasizing its commitment to helping organizations leverage their data for improved decision-making and operational efficiency. As a recognized leader in the field, Pentaho is known for its stewardship of key open-source analytics projects, such as Kettle, Weka, and Mondrian.

Confluence Networks

Series C in 2003
A Milpitas, Calif.-based data storage management network, came out of stealth mode

Data Domain

Series B in 2003
Data Domain specializes in providing disk-to-disk (D2D) and offsite disaster recovery solutions for businesses globally. The company focuses on deduplication storage systems that facilitate disk backup, data archiving, and efficient disaster recovery, as well as remote office data protection. Its product offerings include software for data replication, encryption, and retention lock, which are designed to meet IT governance and compliance requirements. Additionally, Data Domain supplies virtual tape library software for SAN environments and a web-based Enterprise Manager application for system management. The company's infrastructure solutions encompass backup and recovery, archiving, disaster recovery, and virtualization. Data Domain serves a diverse range of industries, including education, finance, healthcare, and technology, primarily in North America and Europe. Founded in 2001 and headquartered in Hopkinton, Massachusetts, Data Domain has established itself as a key player in the data protection and storage market.

Data Domain

Series A in 2002
Data Domain specializes in providing disk-to-disk (D2D) and offsite disaster recovery solutions for businesses globally. The company focuses on deduplication storage systems that facilitate disk backup, data archiving, and efficient disaster recovery, as well as remote office data protection. Its product offerings include software for data replication, encryption, and retention lock, which are designed to meet IT governance and compliance requirements. Additionally, Data Domain supplies virtual tape library software for SAN environments and a web-based Enterprise Manager application for system management. The company's infrastructure solutions encompass backup and recovery, archiving, disaster recovery, and virtualization. Data Domain serves a diverse range of industries, including education, finance, healthcare, and technology, primarily in North America and Europe. Founded in 2001 and headquartered in Hopkinton, Massachusetts, Data Domain has established itself as a key player in the data protection and storage market.

Datalogix

Venture Round in 1992
Datalogix® is the industry-recognized leader at connecting digital media and offline purchasing data. We help more than half of the top 100 consumer marketers increase the effectiveness and measurability of their advertising. DLX Platform®, encompasses over $1 trillion in consumer spending and powers campaigns for more than 75% of online media companies. DLX ROI® is rapidly becoming the industry standard for measuring offline sales lift for digital media. Datalogix also offers predictive analytics for Direct Mail, and integrated media solutions via the DLX Net. Our expertise spans the major consumer segments, including Retail, CPG, Automotive, Telecom, Travel and Financial Services. We are based in Colorado, with offices in New York City, San Francisco, Boston, Chicago, Detroit, and London.
Spot something off? Help us improve by flagging any incorrect or outdated information. Just email us at support@teaserclub.com. Your feedback is most welcome.