Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.
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.
Blue Wall (China) specializes in developing cloud-based management and collaboration tools tailored for the real estate and construction sectors. Founded in 2019 and headquartered in Shanghai, the company offers a platform that enhances document management and quality inspection services through real-time data collection. By utilizing micro-service project management components and advanced data modeling, Blue Wall facilitates the aggregation and transfer of information from construction sites to project managers. This approach enables clients to improve operational efficiency, reduce costs, and make informed decisions based on real-time data analysis, ultimately supporting self-innovation within the industry.
Beijing Sudo Technology provides privacy protection technical services from the perspective of systematic comprehensive engineering.
Quanzhi Technology is a data security provider specializing in knowledge-application data and API risk monitoring systems. The company offers an intelligent data risk control system that employs data-centric user and entity behavior analytics (UEBA) technology. Quanzhi's solutions are designed to enhance network data security for enterprises, particularly in the finance, information technology, and logistics sectors, ensuring effective management of data risks and safeguarding sensitive information.
Drata is a leading security and compliance automation platform designed to assist companies in achieving continuous compliance with service organization control standards. The platform features an autopilot system that automates control monitoring and evidence collection, which simplifies the process of preparing for audits, ultimately reducing both costs and time. By providing actionable insights, reports, alerts, and integrations with various software-as-a-service applications, Drata enables enterprises to build trust with their users, customers, partners, and prospects, facilitating secure business growth and accelerated sales.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
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.
Developer of a deep learning and intelligent technology designed to facilitate decision-making process. The company uses deep learning and computing technologies to establish a deep reinforcement learning algorithm platform and promote decision-making process, enabling clients to improve efficiency.
Drata is a leading security and compliance automation platform designed to assist companies in achieving continuous compliance with service organization control standards. The platform features an autopilot system that automates control monitoring and evidence collection, which simplifies the process of preparing for audits, ultimately reducing both costs and time. By providing actionable insights, reports, alerts, and integrations with various software-as-a-service applications, Drata enables enterprises to build trust with their users, customers, partners, and prospects, facilitating secure business growth and accelerated sales.
Feiliu Tech Corporation, headquartered in Shanghai, China, specializes in big data supply chain optimization. The company offers enterprise supply chain management solutions that leverage artificial intelligence to enhance operational efficiency. By focusing on advanced analytics and data-driven insights, Feiliu aims to help businesses streamline their supply chain processes and improve overall performance.
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
StarTree is a startup building a platform-as-service version of the Apache Pinot analytics platform.
Black Lake Technologies is an innovative company focused on transforming manufacturing through advanced mobile, IoT, and web-based collaboration platforms. These platforms enable real-time data acquisition, visualization, monitoring, and analysis, facilitating seamless communication among factory staff, from management to assembly line workers. By providing algorithm-driven and easily configurable systems, Black Lake lowers the barriers for manufacturers to adopt data analytics, fostering self-innovation and enhancing operational efficiency. The company serves a diverse clientele, including medium-sized enterprises and Fortune 500 companies, streamlining their production processes. With significant venture backing and over CNY 100 million in funding, Black Lake is well-positioned to lead the evolution of smart factories and improve manufacturing cycles.
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.
Blue Wall (China) specializes in developing cloud-based management and collaboration tools tailored for the real estate and construction sectors. Founded in 2019 and headquartered in Shanghai, the company offers a platform that enhances document management and quality inspection services through real-time data collection. By utilizing micro-service project management components and advanced data modeling, Blue Wall facilitates the aggregation and transfer of information from construction sites to project managers. This approach enables clients to improve operational efficiency, reduce costs, and make informed decisions based on real-time data analysis, ultimately supporting self-innovation within the industry.
Gro Intelligence is a data analytics platform focused on the global agriculture industry, utilizing artificial intelligence and machine learning to analyze a wide range of agricultural data. Founded in 2014 and headquartered in New York, with an additional office in Nairobi, the company aggregates and processes both structured and unstructured data from diverse sources, including satellite imagery and trade reports. By employing proprietary algorithms, Gro Intelligence generates predictive models that provide insights into weather patterns, trade flows, pricing dynamics, and production metrics. This enables financial institutions, corporations, and public sector entities to make informed decisions based on comprehensive and timely information. The company has attracted significant investment, raising $20 million to date from notable investors. With approximately 50 employees, Gro Intelligence aims to bridge data gaps within the agricultural sector, enhancing productivity and access to capital for stakeholders across the ecosystem.
TonicAI is a synthetic data platform that specializes in generating mock data that retains the essential characteristics of secure datasets. Founded in 2018 and based in San Francisco, with an additional office in Atlanta, the company creates synthetic data that maintains the structure, distributions, interdependencies, and statistical correlations of original data sets. This enables software engineers, data scientists, and business analysts to access usable data without violating privacy or compliance regulations. TonicAI's platform facilitates the transition from mock data to production data while ensuring data security through auditing features and human-readable fingerprints. By providing a solution that addresses privacy concerns, TonicAI empowers its users to conduct analytics and software development more effectively and securely.
PingCAP, Inc., founded in 2015 and based in Beijing, China, develops TiDB, an open-source distributed Hybrid Transactional/Analytical Processing (HTAP) database. TiDB is designed to provide a comprehensive solution for both online transactional processing (OLTP) and online analytical processing (OLAP), offering infinite horizontal scalability, strong consistency, and high availability. The database is cloud-native and features SQL compatibility, allowing for seamless integration with existing systems. By focusing on open-source technology, PingCAP aims to provide a robust platform for users seeking efficient and stable database management for their online transactions and analytical needs.
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.
Avo creates one source of truth for analytics events and generates personalized tracking libraries that give developers dev time validation that implementation is correct. Avo is a toolbox (UI and dev tool) to define event based analytics, and generate personalized tracking libraries that provide dev time validation of correct implementation. It's like a spell-checker for people to define quality data, and a type-checker for developers to make sure they send analytics according to design.
Avo creates one source of truth for analytics events and generates personalized tracking libraries that give developers dev time validation that implementation is correct. Avo is a toolbox (UI and dev tool) to define event based analytics, and generate personalized tracking libraries that provide dev time validation of correct implementation. It's like a spell-checker for people to define quality data, and a type-checker for developers to make sure they send analytics according to design.
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
BackboneAI, founded in 2019 and based in New York City, specializes in creating frictionless data networks through intercompany automation. This innovative approach enhances supplier and customer relationships by enabling real-time data synchronization, rapid API connectivity, and seamless integration with third-party applications and databases. By automating intercompany data processes, BackboneAI facilitates improved collaboration and communication among businesses. The company is backed by a range of investors, including venture capital firms and notable angel investors.
Beijing TAOS Data Technology Co., Ltd. specializes in the acquisition, storage, and analysis of time-space data, particularly for the Internet of Things (IoT) and connected vehicles. The company has developed TDengine, a big data platform that addresses the challenges posed by the rapid growth of connected devices. TDengine is designed to efficiently collect, store, compute, and analyze time-series data, demonstrating performance that exceeds traditional time-series databases by a significant margin. The platform's core components, including the storage and computing engine, are fully open-sourced, reflecting TAOS Data's commitment to transparency and community-driven development. The company's mission centers on enhancing customer success by providing a comprehensive IoT big data solution that minimizes operational complexity and costs. Headquartered in Beijing, TAOS Data has a team that spans locations in China and California, supported by investors including prominent venture capital firms.
Blue Wall (China) specializes in developing cloud-based management and collaboration tools tailored for the real estate and construction sectors. Founded in 2019 and headquartered in Shanghai, the company offers a platform that enhances document management and quality inspection services through real-time data collection. By utilizing micro-service project management components and advanced data modeling, Blue Wall facilitates the aggregation and transfer of information from construction sites to project managers. This approach enables clients to improve operational efficiency, reduce costs, and make informed decisions based on real-time data analysis, ultimately supporting self-innovation within the industry.
ByteDance is an Internet technology company headquartered in Haidian, China, established in March 2012. The company specializes in creating mobile applications that cater to online media, entertainment, and social networking. ByteDance leverages artificial intelligence and machine learning to personalize content for users, enabling them to discover and engage with creative platforms tailored to their interests. With a robust user base of nearly 200 million daily active users, each spending an average of one hour daily on its products, ByteDance fosters connections between people and information. Its portfolio includes popular applications such as Topbuzz, Flipagram, and various user-generated content short-form video platforms, which have gained significant traction among mobile users globally. The company also maintains offices in the USA and Japan, enhancing its international presence.
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.
Gro Intelligence is a data analytics platform focused on the global agriculture industry, utilizing artificial intelligence and machine learning to analyze a wide range of agricultural data. Founded in 2014 and headquartered in New York, with an additional office in Nairobi, the company aggregates and processes both structured and unstructured data from diverse sources, including satellite imagery and trade reports. By employing proprietary algorithms, Gro Intelligence generates predictive models that provide insights into weather patterns, trade flows, pricing dynamics, and production metrics. This enables financial institutions, corporations, and public sector entities to make informed decisions based on comprehensive and timely information. The company has attracted significant investment, raising $20 million to date from notable investors. With approximately 50 employees, Gro Intelligence aims to bridge data gaps within the agricultural sector, enhancing productivity and access to capital for stakeholders across the ecosystem.
Black Lake Technologies is an innovative company focused on transforming manufacturing through advanced mobile, IoT, and web-based collaboration platforms. These platforms enable real-time data acquisition, visualization, monitoring, and analysis, facilitating seamless communication among factory staff, from management to assembly line workers. By providing algorithm-driven and easily configurable systems, Black Lake lowers the barriers for manufacturers to adopt data analytics, fostering self-innovation and enhancing operational efficiency. The company serves a diverse clientele, including medium-sized enterprises and Fortune 500 companies, streamlining their production processes. With significant venture backing and over CNY 100 million in funding, Black Lake is well-positioned to lead the evolution of smart factories and improve manufacturing cycles.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
BitSight Technologies, Inc., founded in 2011 and based in Boston, Massachusetts, specializes in data analytics and security software focused on managing information security risks. The company offers a Security Ratings Platform that utilizes sophisticated algorithms to generate daily security ratings, which range from 250 to 900. These ratings assist organizations in managing third-party risk, underwriting cyber insurance policies, benchmarking performance, conducting mergers and acquisitions due diligence, and assessing aggregate risk. BitSight's technology is widely adopted, with over 1,000 customers, including major cyber insurers, Fortune 500 companies, and leading investment banks, who rely on its services for critical risk and business decision-making. The platform is recognized as the most widely used Security Ratings Service globally.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Unravel Data Systems, Inc. is a company that specializes in enterprise-grade performance management software for big data applications. Founded in 2013 and based in Palo Alto, California, Unravel Data provides an AI-powered platform that enables users to analyze and optimize their data applications and clusters. This full-stack solution supports various big data systems, including Hadoop and Spark, and is designed for both on-premise and cloud environments. The platform enhances reliability and performance, maximizes cost savings across storage and compute resources, and boosts productivity in a self-service DataOps setting. Unravel Data serves a diverse clientele, including several Fortune 500 companies, by offering tools for monitoring, managing, and simplifying data pipelines while delivering actionable insights for performance improvement.
HyperCloud enables businesses to embrace public clouds and drive their digital transformation via the broadest set of functionalities to discover and plan cloud migrations, optimize costs, secure resource and scale operations in the public cloud. HyperCloud has a unique app-centric, modular approach that enables businesses to scale their cloud management capabilities within a common framework that provides centralized control and management of all private and public clouds and eliminates the need for ongoing training. HyperCloud analytics is powered by its massive database of more than 400 million data points across the major public clouds enabling instantaneous recommendations for optimizing new and existing applications using multi-dimensional analysis of factors such as cost, performance, and compliance. HyperCloud also analyzes past cloud usage to understand customer needs and speed service delivery by eliminating manual processes. As a result, enterprise IT and MSPs can deliver customized services across any private or public cloud, improving business performance while minimizing cloud management complexities.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Black Lake Technologies is an innovative company focused on transforming manufacturing through advanced mobile, IoT, and web-based collaboration platforms. These platforms enable real-time data acquisition, visualization, monitoring, and analysis, facilitating seamless communication among factory staff, from management to assembly line workers. By providing algorithm-driven and easily configurable systems, Black Lake lowers the barriers for manufacturers to adopt data analytics, fostering self-innovation and enhancing operational efficiency. The company serves a diverse clientele, including medium-sized enterprises and Fortune 500 companies, streamlining their production processes. With significant venture backing and over CNY 100 million in funding, Black Lake is well-positioned to lead the evolution of smart factories and improve manufacturing cycles.
BitSight Technologies, Inc., founded in 2011 and based in Boston, Massachusetts, specializes in data analytics and security software focused on managing information security risks. The company offers a Security Ratings Platform that utilizes sophisticated algorithms to generate daily security ratings, which range from 250 to 900. These ratings assist organizations in managing third-party risk, underwriting cyber insurance policies, benchmarking performance, conducting mergers and acquisitions due diligence, and assessing aggregate risk. BitSight's technology is widely adopted, with over 1,000 customers, including major cyber insurers, Fortune 500 companies, and leading investment banks, who rely on its services for critical risk and business decision-making. The platform is recognized as the most widely used Security Ratings Service globally.
Domo, Inc. operates a cloud-based platform that connects various levels of an organization, from executives to front-line employees, with real-time data and insights. Founded in 2010 and headquartered in American Fork, Utah, Domo enables users to manage their business operations through smartphones, facilitating instant access to critical information. The platform includes features such as a Programmatic Revenue Solution, which integrates complex data from ad servers and sell-side platforms into user-friendly dashboards. Domo's services are offered on a subscription basis, generating revenue from both subscriptions and professional services, while also providing users with timely notifications that allow for immediate action on data-driven insights.
Domo, Inc. operates a cloud-based platform that connects various levels of an organization, from executives to front-line employees, with real-time data and insights. Founded in 2010 and headquartered in American Fork, Utah, Domo enables users to manage their business operations through smartphones, facilitating instant access to critical information. The platform includes features such as a Programmatic Revenue Solution, which integrates complex data from ad servers and sell-side platforms into user-friendly dashboards. Domo's services are offered on a subscription basis, generating revenue from both subscriptions and professional services, while also providing users with timely notifications that allow for immediate action on data-driven insights.
Upsight is a leading mobile analytics and marketing platform that processes over 500 billion data points each month, serving thousands of applications worldwide. The platform is designed to help enterprises manage and optimize their mobile businesses through large-scale data ingestion, collection, processing, and storage. Upsight provides data-driven marketing tools that enable businesses to understand user behaviors and engage them through targeted in-app and out-of-app campaigns focused on retention, re-engagement, and monetization. Its flexible API access allows integration with both third-party solutions and its own tools, enhancing usability for clients. Upsight is utilized by a diverse range of mobile-focused businesses, including major brands and game publishers, to foster personal and profitable relationships with customers while achieving business goals and driving revenue growth.
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
Domo, Inc. operates a cloud-based platform that connects various levels of an organization, from executives to front-line employees, with real-time data and insights. Founded in 2010 and headquartered in American Fork, Utah, Domo enables users to manage their business operations through smartphones, facilitating instant access to critical information. The platform includes features such as a Programmatic Revenue Solution, which integrates complex data from ad servers and sell-side platforms into user-friendly dashboards. Domo's services are offered on a subscription basis, generating revenue from both subscriptions and professional services, while also providing users with timely notifications that allow for immediate action on data-driven insights.
Nimble Storage, Inc. specializes in providing flash storage platforms that integrate predictive analytics and cloud infrastructure to streamline operations in both on-premises data centers and cloud environments. The company's offerings include InfoSight, a predictive cloud platform that enhances the performance of various business applications, such as virtual servers, databases, and collaboration tools. Nimble Storage's product lineup features AF-Series All Flash arrays and CS-Series Adaptive Flash arrays, designed for high-I/O applications like Oracle and SQL Server. Additionally, the company offers Nimble Cloud Volumes, an enterprise-grade multi-cloud storage service compatible with major cloud providers like Amazon Web Services and Microsoft Azure. Nimble Storage distributes its solutions through a network of value-added resellers, system integrators, and distributors across diverse industries, including healthcare, education, and financial services. Established in 2007 and headquartered in San Jose, California, Nimble Storage operates as a subsidiary of Hewlett Packard Enterprise Company.
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
Evolv is a data-driven company that addresses workforce performance challenges through its cloud-based platform. By integrating and enhancing existing data from various systems, Evolv's technology platform provides actionable insights into workforce dynamics. This enables executives to understand the underlying factors affecting employee performance, leading to informed operational decisions. The company offers on-demand talent matching and intelligence services, utilizing a web-based selection and assessment process. Its algorithms are calibrated using real-world employee data, which helps employers find better matches for their available positions. Evolv's approach aims to reduce employee turnover, boost productivity, and enhance operating margins, ultimately delivering significant financial value to organizations.
BlueKai is a leading data management platform that provides an enterprise solution for managing and activating first, second, and third-party data to enhance marketing effectiveness. It offers a comprehensive system designed for marketers and publishers to optimize their cross-channel marketing strategies, enabling them to unlock reach, scale, and efficiency through data utilization. As a pioneer in the data-driven marketing sector, BlueKai features an advanced Data Management Platform and a well-connected Data Exchange. The company serves thousands of clients and is trusted by numerous Fortune 30 brands to activate their data, solidifying its position as a significant player in the marketing technology landscape. In recognition of its innovation and impact, BlueKai has received accolades such as being named to Forbes' "50 Most Promising US Companies" list and Fast Company's "10 Most Innovative Global Companies in Big Data."
Isilon Systems specializes in developing intelligent clustered storage systems tailored for digital content and unstructured data management. Its flagship product, Isilon IQ, integrates a sophisticated distributed file system with modular, industry-standard hardware, providing exceptional simplicity and scalability. This system is particularly suited for data-intensive sectors, including media and entertainment, digital imaging, life sciences, and oil and gas. Isilon's solutions enable efficient storage and management of diverse file-based data types, such as video, audio, digital images, and simulation data, addressing the growing demands of organizations that handle large volumes of digital content.