Redpoint Ventures

Redpoint Ventures is a venture capital firm founded in 1999 and based in Woodside, California, with additional offices in Beijing and Shanghai, China. The firm specializes in early-stage and growth capital investments, primarily in technology, media, and alternative energy sectors. Redpoint Ventures focuses on a broad range of industries, including consumer internet, enterprise software, fintech, e-commerce, and digital media. The firm typically invests between $1 million to $50 million, with a preference for being a lead or co-lead investor in its portfolio companies. With a strong track record, Redpoint has backed over 465 companies, achieving 140 IPOs and mergers and acquisitions. The firm manages around $4 billion across multiple funds and seeks to partner with visionary founders to create new markets and redefine existing ones. Redpoint also operates Redpoint China Ventures, which focuses on early investments in the technology and media sectors within China.

Kwesi Acquay

Principal

Alex Bard

Managing Director

Urvashi Barooah

Principal

Logan Bartlett

Managing Director

Erica Brescia

Managing Director

Travis Bryant

Operating Partner

Patrick Chase

Partner

Meera Clark

Principal

Satish Dharmaraj

Managing Director

Tom Dyal

Managing Director

Jacob Effron

Vice President, Principal

Timothy Haley

Co-Founder and Partner

Adele Li

Investor

Kyle Liu

Vice President

Louis Lv

Managing Director

Lars Pedersen

Partner and CFO

Grace Ping

Partner

Scott Raney

Partner / Venture Capitalist

Jordan Segall

Principal

Sai Senthilkumar

Partner

Nancy Shi

Partner and CFO

John Walecka

Co-Founder and Partner

Yuan Wenda

Managing Partner

Geoffrey Y. Yang

Co-Founder and Partner

David Yuan

Founder and Partner, Redpoint China

Han Zhang

Partner

Past deals in Predictive Analytics

Monte Carlo

Series D in 2022
Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.

HumanSignal

Series A in 2022
HumanSignal, formerly known as Heartex, Inc, develops a comprehensive platform focused on data labeling and annotation to assist businesses in creating artificial intelligence products. The platform enables companies to efficiently manage and annotate training data, significantly reducing the time spent on preparing datasets for machine learning. Its features include support for unlimited projects, integration with various models, and a robust API, which collectively enhance collaboration, quality assurance, and analytics in the data labeling process. By streamlining these tasks, HumanSignal empowers organizations to generate accurate and competitive AI models at scale, all while facilitating a more efficient workflow for teams involved in data management and analysis. The company is headquartered in San Francisco, California.

Hex Technologies

Series B in 2022
Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

Anvyl

Series B in 2022
Anvyl is a technology platform that uses data analytics to reinvent supply chain processes, making products better, smarter, and easier. It provides visibility into the manufacturing process and streamlines relationships between reputable brands and world-class manufacturers. It standardizes and automates interactions, negotiates contracts and schedules, tracks production and quality, and provides visual and data updates to ensure on-time delivery. Anvyl's customers include HIMs, Native, S’well, Harry’s, LOLA, and other direct-to-consumer brands. It was founded in 2017 and is headquartered in New York.

Hex Technologies

Series A in 2021
Developer of a collaborative data workspace platform intended to streamline the entire analytics workflow. The company's platform empowers everyone to ask and answer questions, work together, and build knowledge by facilitating, analyzing, and building with data and turning information into a data-driven set, enabling clients to focus on generating insight, driving decisions, and moving things forward.

Preset

Series B in 2021
Preset Inc. is a data analytics company based in San Mateo, California, established in 2018. It offers an open analytics platform built on Apache Superset, which enables users to efficiently explore and analyze data through an intuitive visual interface. The platform features flexible dashboarding capabilities and a wide range of visualization types, facilitating the communication and sharing of data-driven insights. As a lightweight and cloud-native solution, Preset is designed to enhance the productivity of modern teams, allowing data professionals to make informed decisions and streamline their workflows.

Preset

Series B in 2021
Preset Inc. is a data analytics company based in San Mateo, California, established in 2018. It offers an open analytics platform built on Apache Superset, which enables users to efficiently explore and analyze data through an intuitive visual interface. The platform features flexible dashboarding capabilities and a wide range of visualization types, facilitating the communication and sharing of data-driven insights. As a lightweight and cloud-native solution, Preset is designed to enhance the productivity of modern teams, allowing data professionals to make informed decisions and streamline their workflows.

Monte Carlo

Series C in 2021
Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.

Dune Analytics

Series A in 2021
Dune Analytics AS is a data analytics platform focused on blockchain research, particularly for the Ethereum network. Founded in 2018 and based in Oslo, Norway, the company offers tools that enable users to query, extract, and visualize extensive data from the Ethereum blockchain. Its community-driven approach allows users to collaborate and share insights, making it a valuable resource for researchers, developers, and analysts in the blockchain space.

Kyligence

Series D in 2021
Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Monte Carlo

Series B in 2021
Monte Carlo is a software company based in San Francisco, California, that focuses on enhancing data reliability for organizations. Founded in 2019 by Barr Moses and Lior Gavish, the company offers a digital platform designed to monitor data integrity, providing alerts for missing or inaccurate information. By addressing and resolving data issues, Monte Carlo empowers data teams to gain valuable insights and make informed business decisions, ultimately increasing trust in their data. The company aims to reduce data downtime, enabling clients to avoid the inefficiencies associated with unreliable data and unnecessary data management crises.

Transform

Series A in 2021
Developer of a data analytics platform designed to query and build metrics out of data troves. The company's platform works with data to generate insights and analytics about different actions around a product to bridge the gap between those who know the data and those who need the data, enabling companies to seamlessly pipe data to downstream systems.

Dremio

Series D in 2021
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.

Chorus.ai

Series C in 2020
Chorus.ai operates a conversation intelligence platform specifically designed for sales teams. The platform transcribes and analyzes business conversations in real-time, allowing sales representatives and managers to identify key moments in their calls. By leveraging proprietary natural language processing algorithms, Chorus.ai provides insights that help teams replicate the performance of top-performing representatives. This enables clients to enhance their sales strategies and improve deal closures efficiently. The company serves a diverse clientele, including both startups and established public companies.

Supremind

Seed Round in 2020
Supremind is a Chinese company specializing in AI-based video big data analysis. It develops advanced video analysis technology that leverages machine learning and artificial intelligence to enhance the interpretation of video content. Its applications include the recognition of individuals involved in traffic incidents and the identification of potentially harmful content on the internet. By providing tools that enable more precise analysis of video data, Supremind aims to improve safety and security across various sectors.

DataCanvas

Series C in 2020
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.

Dremio

Series C in 2020
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.

Transform

Seed Round in 2020
Developer of a data analytics platform designed to query and build metrics out of data troves. The company's platform works with data to generate insights and analytics about different actions around a product to bridge the gap between those who know the data and those who need the data, enabling companies to seamlessly pipe data to downstream systems.

Datameer

Venture Round in 2019
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Supremind

Angel Round in 2019
Supremind is a Chinese company specializing in AI-based video big data analysis. It develops advanced video analysis technology that leverages machine learning and artificial intelligence to enhance the interpretation of video content. Its applications include the recognition of individuals involved in traffic incidents and the identification of potentially harmful content on the internet. By providing tools that enable more precise analysis of video data, Supremind aims to improve safety and security across various sectors.

Anvyl

Series A in 2019
Anvyl is a technology platform that uses data analytics to reinvent supply chain processes, making products better, smarter, and easier. It provides visibility into the manufacturing process and streamlines relationships between reputable brands and world-class manufacturers. It standardizes and automates interactions, negotiates contracts and schedules, tracks production and quality, and provides visual and data updates to ensure on-time delivery. Anvyl's customers include HIMs, Native, S’well, Harry’s, LOLA, and other direct-to-consumer brands. It was founded in 2017 and is headquartered in New York.

Kyligence

Series C in 2019
Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Chorus.ai

Series B in 2018
Chorus.ai operates a conversation intelligence platform specifically designed for sales teams. The platform transcribes and analyzes business conversations in real-time, allowing sales representatives and managers to identify key moments in their calls. By leveraging proprietary natural language processing algorithms, Chorus.ai provides insights that help teams replicate the performance of top-performing representatives. This enables clients to enhance their sales strategies and improve deal closures efficiently. The company serves a diverse clientele, including both startups and established public companies.

Looker

Series E in 2018
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.

Kyligence

Series B in 2018
Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

DataCanvas

Series B in 2018
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.

Moogsoft

Series D in 2018
Moogsoft Inc. specializes in artificial intelligence for IT operations, providing AIOps solutions designed to enhance service assurance and minimize outages. Founded in 2011 and headquartered in San Francisco, the company offers a comprehensive AIOps platform that automates processes and accelerates digital transformation for enterprises. Additionally, Moogsoft provides the Moogsoft Observability Cloud, which equips DevOps practitioners and site reliability engineers with intelligent observability capabilities to derive actionable insights and manage events across complex digital infrastructures. The company's clients include notable organizations such as SAP SuccessFactors, American Airlines, Intuit, Yahoo!, and GoDaddy. Moogsoft has established strategic partnerships with major companies like AWS, Cisco, HCL Technologies, and Wipro, further strengthening its position in the market.

Dremio

Series B in 2018
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.

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.

DataCanvas

Series A in 2017
DataCanvas is a data analysis service platform based in China, specializing in automated data science solutions for data scientists and AI practitioners. The company leverages advanced technologies in big data, artificial intelligence, and machine learning to offer a comprehensive development platform. This platform facilitates the intelligent transformation of businesses and governments by providing essential tools for data management and model implementation. DataCanvas aims to support organizations in effectively coordinating development efforts and enhancing their analytical capabilities, enabling them to navigate the complexities of modern data environments.

Kyligence

Series A in 2017
Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Looker

Series D in 2017
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.

Chorus.ai

Series A in 2017
Chorus.ai operates a conversation intelligence platform specifically designed for sales teams. The platform transcribes and analyzes business conversations in real-time, allowing sales representatives and managers to identify key moments in their calls. By leveraging proprietary natural language processing algorithms, Chorus.ai provides insights that help teams replicate the performance of top-performing representatives. This enables clients to enhance their sales strategies and improve deal closures efficiently. The company serves a diverse clientele, including both startups and established public companies.

Zugata

Series A in 2016
Zugata is a performance management system designed to improve employee and organizational performance. It has the vision to use data to understand employees and to use those insights to empower employees to reach their fullest potential. The company helps employers to gather continuous feedback about individual employees in order to foster a corporate culture that empowers each employee to reach his or her full potential. Its deep learning and advanced analytics algorithms allow managers to aggregate and summarize ratings for key skills by the organization, team, or individual. This allows managers to view workforce strengths and weaknesses holistically, as well as individually, and use data to determine future training needs. Zugata was founded in 2014 and is based in Palo Alto, California.

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.

Moogsoft

Series C in 2016
Moogsoft Inc. specializes in artificial intelligence for IT operations, providing AIOps solutions designed to enhance service assurance and minimize outages. Founded in 2011 and headquartered in San Francisco, the company offers a comprehensive AIOps platform that automates processes and accelerates digital transformation for enterprises. Additionally, Moogsoft provides the Moogsoft Observability Cloud, which equips DevOps practitioners and site reliability engineers with intelligent observability capabilities to derive actionable insights and manage events across complex digital infrastructures. The company's clients include notable organizations such as SAP SuccessFactors, American Airlines, Intuit, Yahoo!, and GoDaddy. Moogsoft has established strategic partnerships with major companies like AWS, Cisco, HCL Technologies, and Wipro, further strengthening its position in the market.

Kyligence

Seed Round in 2016
Kyligence Inc. is a data intelligence company established in 2016 and headquartered in Shanghai, China. It specializes in providing an intelligent data platform designed to simplify big data analytics across both on-premises and cloud environments. The company’s primary offerings include the Kyligence Analytics Platform, which enables sub-second query responses on large datasets, and Apache Kylin, an open-source OLAP engine that facilitates interactive analytics on petabyte-scale data using SQL interfaces. Additionally, Kyligence provides a range of services such as intelligent diagnosis and optimization through its KyBot tool, along with IT consulting and website management solutions. By focusing on Big Data technologies and innovation, Kyligence aims to enhance productivity for business users, analysts, and engineers, enabling them to effectively manage and derive insights from extensive datasets.

Quantifind

Venture Round in 2016
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.

Looker

Series C in 2016
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.

Zugata

Seed Round in 2015
Zugata is a performance management system designed to improve employee and organizational performance. It has the vision to use data to understand employees and to use those insights to empower employees to reach their fullest potential. The company helps employers to gather continuous feedback about individual employees in order to foster a corporate culture that empowers each employee to reach his or her full potential. Its deep learning and advanced analytics algorithms allow managers to aggregate and summarize ratings for key skills by the organization, team, or individual. This allows managers to view workforce strengths and weaknesses holistically, as well as individually, and use data to determine future training needs. Zugata was founded in 2014 and is based in Palo Alto, California.

Dremio

Series A in 2015
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.

Dremio

Series A in 2015
Dremio Corporation, founded in 2015 and based in Santa Clara, California, develops a structured query language query engine software that enhances data accessibility and analytical processing. The company's flagship product, a data lake engine, allows users to perform queries directly against data lake storage, significantly improving query speed and enabling a self-service semantic layer. Dremio empowers business users to curate data from various sources, facilitating greater self-sufficiency among data consumers, including data engineers, analysts, and scientists. By reimagining data lake services, Dremio eliminates the need for traditional data movement to proprietary warehouses, thus streamlining analytics and maximizing the value derived from data.

Datameer

Series E in 2015
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Cuberon

Seed Round in 2015
Cuberon is a customer behavior analytics company based in Sunnyvale, California, founded in 2015 by Abhishek Gattani and Digvijay Singh Lamba. The company develops a customer intelligence platform designed to help product and marketing teams discover, analyze, and visualize customer behaviors that influence business metrics. By leveraging machine intelligence, Cuberon's platform simplifies and automates complex tasks related to understanding customer behavior. This enables business users to formulate and answer questions without the need for expertise in query languages or data sciences, making insights more accessible and actionable.

Looker

Series B in 2015
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.

Pindrop

Series B in 2015
Pindrop Security, Inc. specializes in providing enterprise solutions to secure phone and voice communications, focusing on fraud prevention and customer verification. The company has developed patented technologies, including Phoneprinting, which analyzes phone calls to identify malicious behaviors and confirm legitimate callers. Additionally, Pindrop Express offers a risk-based authentication solution that validates customer phone numbers before calls reach contact centers. Its services are designed to combat various fraud tactics, such as caller ID spoofing and social engineering. Pindrop's solutions are utilized by numerous sectors, including finance, healthcare, insurance, retail, and travel, helping organizations detect fraudulent activities and authenticate callers efficiently. Established in 2011 and headquartered in Atlanta, Georgia, Pindrop is backed by prominent venture capital firms and plays a significant role in enhancing security and customer experience in voice interactions.

Infer

Series B in 2014
Infer, Inc. provides cloud-based applications designed to enhance customer acquisition for Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management (CRM) systems alongside various external signals from the web, such as company size and job openings. This approach enables businesses to identify leads with the highest likelihood of conversion, allowing sales teams to prioritize their efforts on the most promising opportunities. By integrating seamlessly with existing systems, Infer facilitates quick deployment and helps organizations uncover hidden prospects and maximize their marketing and sales strategies. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.

Moogsoft

Series B in 2014
Moogsoft Inc. specializes in artificial intelligence for IT operations, providing AIOps solutions designed to enhance service assurance and minimize outages. Founded in 2011 and headquartered in San Francisco, the company offers a comprehensive AIOps platform that automates processes and accelerates digital transformation for enterprises. Additionally, Moogsoft provides the Moogsoft Observability Cloud, which equips DevOps practitioners and site reliability engineers with intelligent observability capabilities to derive actionable insights and manage events across complex digital infrastructures. The company's clients include notable organizations such as SAP SuccessFactors, American Airlines, Intuit, Yahoo!, and GoDaddy. Moogsoft has established strategic partnerships with major companies like AWS, Cisco, HCL Technologies, and Wipro, further strengthening its position in the market.

Quantifind

Venture Round in 2014
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.

MapR

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.

Tidemark

Series E in 2014
Tidemark is a provider of cloud-based enterprise performance management applications that facilitate analytics and forecasting for organizations. Founded in 2010 and headquartered in Redwood City, California, Tidemark offers a suite of applications that deliver real-time access to risk-adjusted data metrics, profitability modeling, and tools for strategic, financial, and operational planning. One of its notable products, Storylines, presents structured and unstructured data visually, allowing users to interactively explore a company’s operations. The platform also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Through its advanced software, Tidemark enables enterprises to assess their performance with greater accuracy.

RelateIQ

Series C in 2014
Now known as [SalesforceIQ](https://www.crunchbase.com/organization/salesforceiq), RelateIQ, a salesforce.com company, has re-thought customer relationship management from the ground up, building the world's first Relationship Intelligence platform. It automatically captures data on your most important sales prospects, making it easy to collaborate with your teammates to close deals faster. The platform works everywhere you work, whether it's on a mobile app in your pocket or in your email inbox through a browser extension, and advanced data science capabilities mean RelateIQ will provide the insights you need before you even realize you need them. RelateIQ helps our customers drive more revenue and save hours of time, all while making their jobs less work. For more information on how RelateIQ is changing the way the world works, please connect with us on Facebook, LinkedIn, or Twitter.

Caspida

Series A in 2014
Caspida, Inc. is a cybersecurity and threat detection company based in Palo Alto, California, founded in 2014. The company specializes in identifying and mitigating hidden threats within corporate networks, utilizing advanced techniques such as machine learning, behavioral modeling, and real-time statistical analysis. Caspida's technology enables it to detect a wide range of threats, including insider threats, advanced persistent threats (APTs), and new malware, without relying on traditional methods like rules and signatures. Its services encompass areas such as intellectual property theft, account hijacking, cloud asset compromise, fraud detection, and malware detection. As of 2015, Caspida operates as a subsidiary of Splunk, Inc.

Datameer

Series D in 2013
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Quantifind

Venture Round in 2013
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.

Heap

Convertible Note in 2013
Heap Inc. develops an analytics platform designed to enhance decision-making for online businesses by automating the collection and analysis of customer interaction data. Founded in 2012 and headquartered in San Francisco, California, with additional offices in New York and Utah, Heap's solution captures various user interactions, such as clicks, submissions, and transactions, without requiring extra coding. This enables companies across diverse sectors, including e-commerce, financial services, and SaaS, to gain comprehensive insights into customer behavior and improve their products and services. With a mission to empower businesses with accurate data, Heap serves over 6,000 clients, allowing them to focus on actionable insights and optimize conversion rates effectively.

Looker

Series A in 2013
Looker Data Sciences, Inc. is a company that develops a browser-based data platform focused on business intelligence and data analytics. Founded in 2011 and headquartered in Santa Cruz, California, with additional offices in multiple global locations, Looker serves various industries, including ecommerce, financial technology, healthcare, media, and technology. Its platform facilitates data exploration and insights, enabling businesses to integrate data into their daily operations and decision-making processes. By providing actionable insights at critical moments, Looker helps organizations create new value streams and enhance their data-driven strategies. The company operates as a subsidiary of Google LLC, further expanding its capabilities within the Google Cloud ecosystem.

Tidemark

Series D in 2013
Tidemark is a provider of cloud-based enterprise performance management applications that facilitate analytics and forecasting for organizations. Founded in 2010 and headquartered in Redwood City, California, Tidemark offers a suite of applications that deliver real-time access to risk-adjusted data metrics, profitability modeling, and tools for strategic, financial, and operational planning. One of its notable products, Storylines, presents structured and unstructured data visually, allowing users to interactively explore a company’s operations. The platform also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Through its advanced software, Tidemark enables enterprises to assess their performance with greater accuracy.

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.

Pindrop

Series A in 2013
Pindrop Security, Inc. specializes in providing enterprise solutions to secure phone and voice communications, focusing on fraud prevention and customer verification. The company has developed patented technologies, including Phoneprinting, which analyzes phone calls to identify malicious behaviors and confirm legitimate callers. Additionally, Pindrop Express offers a risk-based authentication solution that validates customer phone numbers before calls reach contact centers. Its services are designed to combat various fraud tactics, such as caller ID spoofing and social engineering. Pindrop's solutions are utilized by numerous sectors, including finance, healthcare, insurance, retail, and travel, helping organizations detect fraudulent activities and authenticate callers efficiently. Established in 2011 and headquartered in Atlanta, Georgia, Pindrop is backed by prominent venture capital firms and plays a significant role in enhancing security and customer experience in voice interactions.

Moogsoft

Series A in 2013
Moogsoft Inc. specializes in artificial intelligence for IT operations, providing AIOps solutions designed to enhance service assurance and minimize outages. Founded in 2011 and headquartered in San Francisco, the company offers a comprehensive AIOps platform that automates processes and accelerates digital transformation for enterprises. Additionally, Moogsoft provides the Moogsoft Observability Cloud, which equips DevOps practitioners and site reliability engineers with intelligent observability capabilities to derive actionable insights and manage events across complex digital infrastructures. The company's clients include notable organizations such as SAP SuccessFactors, American Airlines, Intuit, Yahoo!, and GoDaddy. Moogsoft has established strategic partnerships with major companies like AWS, Cisco, HCL Technologies, and Wipro, further strengthening its position in the market.

Infer

Series A in 2013
Infer, Inc. provides cloud-based applications designed to enhance customer acquisition for Fortune 1000 and high-growth companies. Founded in 2010 and headquartered in Palo Alto, California, Infer utilizes predictive analytics to analyze historical data from customer relationship management (CRM) systems alongside various external signals from the web, such as company size and job openings. This approach enables businesses to identify leads with the highest likelihood of conversion, allowing sales teams to prioritize their efforts on the most promising opportunities. By integrating seamlessly with existing systems, Infer facilitates quick deployment and helps organizations uncover hidden prospects and maximize their marketing and sales strategies. As of October 2017, Infer operates as a subsidiary of Ignite Technologies, Inc.

Datameer

Series C in 2012
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

Bluefin Labs

Series B in 2012
Bluefin Labs is a social TV analytics company providing solutions to brand advertisers, advertising agencies and TV networks. Bluefin Labs’ technology, data and professional services enable clients to tap into data at scale that links people’s social media commentary to the shows and commercials they watch on TV. Grounded in 15 years of cognitive science and machine learning research at the MIT Media Lab, Bluefin Labs was founded in 2008 and has offices in Cambridge, MA and New York, NY. Bluefin Labs was acquired by Twitter on February 5, 2013. For more about Bluefin Labs, visit www.bluefinlabs.com.

Tidemark

Series C in 2012
Tidemark is a provider of cloud-based enterprise performance management applications that facilitate analytics and forecasting for organizations. Founded in 2010 and headquartered in Redwood City, California, Tidemark offers a suite of applications that deliver real-time access to risk-adjusted data metrics, profitability modeling, and tools for strategic, financial, and operational planning. One of its notable products, Storylines, presents structured and unstructured data visually, allowing users to interactively explore a company’s operations. The platform also integrates financial playbooks and predictive analytics, utilizing big data and social media insights for enhanced forecasting and budgeting capabilities. Through its advanced software, Tidemark enables enterprises to assess their performance with greater accuracy.

Quantifind

Series A in 2011
Quantifind, Inc. is a data science company that specializes in AI solutions for anti-money laundering and fraud detection. Founded in 2008 by two Ph.D. graduates in atomic physics, the company has established a platform that integrates internal financial institution data with public domain data to uncover risks. Its offerings include signum Analysis, which helps users understand brand performance, signum Voice for revenue insights, and signum Impact to assess the effectiveness of sponsorships. The company serves a range of industries including automotive, consumer packaged goods, entertainment, financial services, pharmaceuticals, retail, and telecom. With offices in Silicon Valley, New York, and Washington, D.C., Quantifind collaborates strategically with Oracle Financial Services to enhance its capabilities. The company is headquartered in Menlo Park, California.

MapR

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.

Bluefin Labs

Series A in 2010
Bluefin Labs is a social TV analytics company providing solutions to brand advertisers, advertising agencies and TV networks. Bluefin Labs’ technology, data and professional services enable clients to tap into data at scale that links people’s social media commentary to the shows and commercials they watch on TV. Grounded in 15 years of cognitive science and machine learning research at the MIT Media Lab, Bluefin Labs was founded in 2008 and has offices in Cambridge, MA and New York, NY. Bluefin Labs was acquired by Twitter on February 5, 2013. For more about Bluefin Labs, visit www.bluefinlabs.com.

Datameer

Series A in 2010
Datameer, Inc. is a data analytics company focused on providing a platform specifically designed for Hadoop. Founded in 2009 and headquartered in San Francisco, Datameer offers a range of products that facilitate big data integration, analytics, and visualization. Its key offerings include Smart Execution, which optimizes computation frameworks for various workloads, and Datameer X, a tool for data preparation and exploration aimed at data scientists and machine learning engineers. Additionally, the company provides Neebo, a resource that helps analytics and data science teams manage and share trusted information, and Smart Analytics, which features advanced analytical functions to uncover relationships within data. Datameer serves a variety of industries, including financial services, healthcare, gaming, retail, telecommunications, and high technology, helping organizations break down data silos and derive valuable insights from their raw data.

eBureau

Series C in 2009
eBureau, LLC is a provider of big data and predictive analytic solutions tailored for both business-to-consumer and business-to-business sectors. Founded in 2004 and based in St. Cloud, Minnesota, the company offers a range of services designed to enhance decision-making throughout the customer lifecycle. These services include eScore for developing customized statistical scores, eVerify for verifying consumer identity, and eTarget for appending information to customer records. Additionally, eBureau provides eLink for account monitoring, eMonitor for visualizing transactional data, and eAuthenticate for knowledge-based authentication. The company's solutions are utilized in various industries, including higher education, insurance, financial services, automotive, telecom, utilities, and retail, focusing on marketing, fraud prevention, credit risk assessments, and collections. eBureau operates as a subsidiary of TransUnion, having rebranded from xTech LLC in 2007.

eBureau

Series B in 2007
eBureau, LLC is a provider of big data and predictive analytic solutions tailored for both business-to-consumer and business-to-business sectors. Founded in 2004 and based in St. Cloud, Minnesota, the company offers a range of services designed to enhance decision-making throughout the customer lifecycle. These services include eScore for developing customized statistical scores, eVerify for verifying consumer identity, and eTarget for appending information to customer records. Additionally, eBureau provides eLink for account monitoring, eMonitor for visualizing transactional data, and eAuthenticate for knowledge-based authentication. The company's solutions are utilized in various industries, including higher education, insurance, financial services, automotive, telecom, utilities, and retail, focusing on marketing, fraud prevention, credit risk assessments, and collections. eBureau operates as a subsidiary of TransUnion, having rebranded from xTech LLC in 2007.
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