Sequoia Capital

Listen Labs is a technology company that specializes in AI-driven customer insights. Its platform conducts interviews with customers and analyzes the qualitative data to provide businesses with a comprehensive understanding of their customers' perspectives. The company's AI-based interviewer surfaces insights, themes, and personas at scale, summarizing responses into real-time analysis reports.

Listen Labs is a technology company that specializes in AI-driven customer insights. Its platform conducts interviews with customers and analyzes the qualitative data to provide businesses with a comprehensive understanding of their customers' perspectives. The company's AI-based interviewer surfaces insights, themes, and personas at scale, summarizing responses into real-time analysis reports.

Peregrine Technologies, Inc. develops software aimed at enhancing the efficiency and effectiveness of public safety agencies. Founded in 2017 and based in Oakland, California, the company creates a platform that integrates and secures disparate data, allowing public safety teams to search, analyze, and collaborate in real-time. This software supports various initiatives, including intelligence-led policing, real-time crime data analysis, and community-oriented policing. By providing robust privacy and security controls, Peregrine enables government institutions to navigate complex data workflows while fostering public-private partnerships and building trust within communities. Its technology empowers public safety leaders to make informed, data-driven decisions and operate with increased transparency.

Clay is a company that offers innovative tools designed to assist growth teams in identifying and connecting with their ideal customers. By integrating first-party, intent, and third-party data from over 100 sources, Clay's platform facilitates comprehensive customer research. This streamlined approach allows teams to enhance their workflows and effectively target their outreach efforts, ultimately driving business growth.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Pydantic is a company that specializes in developing an open-source data-validation framework for Python, which utilizes type hints to ensure data integrity. This framework effectively validates data by providing clear, user-friendly error messages when invalid entries are encountered. It enables developers to handle untrusted external data by ensuring it conforms to expected schemas, thus streamlining the process of working with real-world data. By facilitating easier and faster data validation, Pydantic's framework helps developers save time and reduce errors in their projects. Additionally, the company operates an observability platform known as Pydantic Logfire, further enhancing its offerings in the data management space.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Klu.ai is a generative AI platform that simplifies the process of designing, deploying, and optimizing AI applications. The company integrates major large language models (LLMs) such as Anthropic Claude, Azure OpenAI, GPT-4, and over 15 other models, enabling rapid prompt/model experimentation, data gathering, and user feedback. The platform offers features like Klu Actions for content generation, business operations workflows, content analysis, and summarization, as well as optimization techniques for A/B testing and fine-tuning support for models like OpenAI's GPT-3.5 Turbo and GPT-4. Klu.ai is committed to data privacy and security, providing data obfuscation and redaction features to protect sensitive information. Klu.ai is founded by Stephen M. Walker II in 2022 and is located in San Francisco, California.

Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.

Blind Insights is a technology company that specializes in data privacy and security. It offers a platform that enables organizations to extract valuable insights from sensitive data without compromising privacy or security. The platform operates by preserving the content of data, allowing it to be used for social good, business intelligence, and profit generation, all while maintaining compliance and security standards. This allows businesses to enhance their products and services without infringing on user privacy.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.

Pydantic is a company that specializes in developing an open-source data-validation framework for Python, which utilizes type hints to ensure data integrity. This framework effectively validates data by providing clear, user-friendly error messages when invalid entries are encountered. It enables developers to handle untrusted external data by ensuring it conforms to expected schemas, thus streamlining the process of working with real-world data. By facilitating easier and faster data validation, Pydantic's framework helps developers save time and reduce errors in their projects. Additionally, the company operates an observability platform known as Pydantic Logfire, further enhancing its offerings in the data management space.

QueryPal is an innovative company that enhances enterprise customer support by utilizing historical support tickets to create an intelligent deflection system capable of managing most incoming inquiries via chat and email without human intervention. Unlike traditional AI chatbots that only retrieve information from documentation, QueryPal's Agentic Support AI constructs a comprehensive knowledge graph from past support data, facilitating tier 1-3 support capabilities, including complex API interactions with record systems. Its visual analytics dashboard provides customer service leaders with critical insights into support operations, demonstrating significant return on investment shortly after implementation. Trusted by notable organizations, QueryPal aims to transform the $300 billion global customer support market by converting cost centers into strategic assets without increasing workforce size. The company has received recognition in various publications, highlighting its potential to disrupt the industry.

WireScreen is a prominent business intelligence platform based in China, specializing in providing detailed and accurate data on millions of companies and their leadership. The platform offers insights into global supply chain trends, focusing particularly on China's economic ascent and its impact on international business and trade. By supplying corporations and government agencies with reliable, actionable information, WireScreen enables its clients to make informed decisions and effectively navigate the complexities of the evolving business landscape. Additionally, it highlights key factors influencing finance, labor, and environmental considerations, helping clients identify potential investment opportunities.

Kumo.AI is a software-as-a-service platform specializing in artificial intelligence tailored for contemporary data management. The platform is designed to analyze relationships and patterns within data, leveraging machine learning to facilitate predictive modeling. By integrating seamlessly with modern cloud data warehouses, Kumo.AI supports a variety of graph formats, including nodes, edges, and properties. This functionality empowers scientists and analysts to generate faster, simpler, and more accurate predictions, enhancing decision-making processes across various industries.

Arcwise is a low-code platform designed to make data analytics and data science accessible to a wide range of users. It allows individuals to import data from various sources quickly and efficiently, facilitating the generation of insights through AI-assisted analytics and visualizations. The platform also includes pre-written recipes for data transformations, cleaning, and machine learning modeling, which simplifies the process of data exploration. Additionally, Arcwise enables users to automate workflows and create dashboards, making it easier for stakeholders to engage with complex data analytics tools. Ultimately, Arcwise aims to democratize data exploration across businesses, allowing users to leverage modern data tools without the need for extensive technical expertise.

Kaito is an AI-powered search engine designed specifically for digital assets, focusing on providing actionable insights for crypto investors, researchers, developers, and the general public. The platform employs advanced in-house AI technologies to aggregate, sort, and curate real-time information from a variety of sources, including social media, publishing platforms, audio content, and industry news. By transforming vast amounts of unstructured data into structured information, Kaito aims to democratize access to critical insights within the crypto industry, thereby enhancing the research process for its users.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Telescope Analytics is a software development firm that uses advanced machine learning for data points mining.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.

Kumo.AI is a software-as-a-service platform specializing in artificial intelligence tailored for contemporary data management. The platform is designed to analyze relationships and patterns within data, leveraging machine learning to facilitate predictive modeling. By integrating seamlessly with modern cloud data warehouses, Kumo.AI supports a variety of graph formats, including nodes, edges, and properties. This functionality empowers scientists and analysts to generate faster, simpler, and more accurate predictions, enhancing decision-making processes across various industries.

Cyera is a data security company that focuses on providing businesses with comprehensive insights into their data environments. By employing a data-centric approach, Cyera enables organizations to discover, classify, and protect their sensitive data while ensuring compliance and cyber resilience. Its platform continuously monitors data exposure and risks, allowing security teams to identify vulnerabilities and take necessary actions to mitigate them. Through its innovative solutions, Cyera aims to empower businesses to effectively manage their data, ultimately facilitating transformative outcomes driven by secure data practices.

Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.

Bluerizon is a software and online data-science platform that powering the intelligence layer of global markets to deliver actionable insights to businesses, consumers and retail traders. It allows its user to grow and scale their approach to the global markets by helping them making smarter, faster and better decisions. Also, It provides a large library of online courses, AI driven price predictions, analysis, normalised data, automation and many more. Bluerizon was launched in 2022 with a mission to create a financial freedom ecosystem for the world and dual-headquartered in Menlo Park, California and Dubai, United Arab Emirates.

Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.

Census is a data activation platform that specializes in synchronizing data warehouses with customer relationship management and operational tools. By utilizing Reverse ETL technology, Census enables businesses to transform their data into actionable insights without the need for custom scripts or significant engineering resources. This functionality allows marketing and sales teams to access and utilize reliable customer data effectively. Numerous companies, such as Fivetran, Canva, Sonos, and Figma, leverage Census to enhance their operations, leading to significant improvements like personalized marketing for millions of users, a tenfold increase in sales productivity, and a substantial reduction in support response times. Through its platform, Census aims to facilitate better decision-making and operational efficiency for its clients.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.

Dagster Labs specializes in creating a data orchestration platform that enables organizations to efficiently develop, produce, and monitor their data assets. The company is focused on Dagster, an open-source Python library designed to facilitate the construction of modern data applications. This platform allows teams to collaborate effectively while processing and producing reliable data. By integrating seamlessly with existing tools and infrastructure, Dagster Labs helps clients build scalable and productive data platforms, enhancing their ability to manage and utilize data effectively.

Trusting Social, established in 2013, is a Singapore-based AI Fintech company that specializes in credit scoring solutions for emerging markets. It leverages big data technology, social, web, and mobile data to score consumers who lack traditional credit history, enabling lenders to extend credit to the underbanked. The company operates in Vietnam, Indonesia, India, and the Philippines, with offices in each of these countries.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

WireScreen is a prominent business intelligence platform based in China, specializing in providing detailed and accurate data on millions of companies and their leadership. The platform offers insights into global supply chain trends, focusing particularly on China's economic ascent and its impact on international business and trade. By supplying corporations and government agencies with reliable, actionable information, WireScreen enables its clients to make informed decisions and effectively navigate the complexities of the evolving business landscape. Additionally, it highlights key factors influencing finance, labor, and environmental considerations, helping clients identify potential investment opportunities.

Trusting Social, established in 2013, is a Singapore-based AI Fintech company that specializes in credit scoring solutions for emerging markets. It leverages big data technology, social, web, and mobile data to score consumers who lack traditional credit history, enabling lenders to extend credit to the underbanked. The company operates in Vietnam, Indonesia, India, and the Philippines, with offices in each of these countries.

CB4 is a provider of artificial intelligence solutions designed to assist retail teams in capturing lost sales and enhancing customer experiences. The company's software utilizes patented machine learning algorithms to analyze existing point-of-sale data, enabling the identification of physical issues that hinder sales and impact customer satisfaction. By generating customized lists of SKUs tailored to each store's unique selling patterns and operational conditions, CB4 highlights specific products that can significantly increase revenue. These recommendations address various operational inefficiencies, such as improper product placement, labeling errors, or inventory discrepancies. Retailers can implement quick fixes, like adjusting stock levels or repositioning products, to boost sales and meet customer demands. Over time, the system learns from the adjustments made by stores, allowing for increasingly valuable and actionable insights.

Tecton offers an enterprise-ready feature store that addresses the unique data requirements of machine learning. By providing a robust data platform, Tecton enables machine learning teams to efficiently build, serve, and scale features for production use. The platform allows users to construct features from various data sources, including batch, streaming, and real-time data, facilitating the sharing, reuse, and deployment of models. This capability empowers data scientists and organizations to automate decisions at high speed, enhance customer experiences, and transform business processes. Tecton's focus on optimizing the data layer for machine learning aims to help companies develop superior models more rapidly, driving significant business outcomes.

Rockset, Inc. is a technology company based in San Mateo, California, founded in 2016. It specializes in developing a serverless search and analytics engine that facilitates the creation of applications without the need for data pipelines or extensive data preparation. The platform operates directly on raw data, enabling users to seamlessly integrate and continuously sync new data from various sources. By utilizing familiar SQL, Rockset allows clients to perform hybrid searches and real-time analytics on diverse data types, including vector, text, geospatial, and JSON data, without the constraints of a fixed schema. This approach streamlines the data management process and enhances the efficiency of interactive data science applications.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Snowflake Inc. is a cloud-based data platform that offers a comprehensive solution for data warehousing, data lakes, and data sharing. Founded in 2012 and headquartered in San Mateo, California, the company provides organizations of various sizes and industries with the tools to consolidate data into a single source of truth, enabling meaningful business insights and the development of data-driven applications. Snowflake's platform is designed to facilitate instant, secure access to a wide array of data, supporting multiple data workloads and making it suitable for modern data applications. The company's innovative approach allows enterprises to quickly buy and ingest data, significantly reducing the time required compared to traditional methods. With a customer base that includes over 3,000 organizations, nearly 30% of which are part of the Fortune 500, Snowflake is recognized for its cost-effective solutions that leverage the power of cloud technology.

23andMe, Inc. is a consumer genetics and research company headquartered in Sunnyvale, California, founded in 2006. It specializes in providing direct-to-consumer personal genome services through home-based saliva collection kits. The company offers a range of services, including Health + Ancestry, which provides insights into ancestry, traits, and health, and Ancestry + Traits, which details ancestry breakdown and various trait reports. 23andMe aims to help individuals understand their genetic makeup, enabling users to explore their ancestry, genealogy, and inherited traits. Additionally, the company markets its services to researchers and scientists, offering categorized and searchable genetic data. With a focus on consumer and research services, 23andMe is positioned within the rapidly growing biotech and healthcare sectors, contributing to the understanding of genetics and its implications for health.

Hyper Anna is an innovative AI-powered analytics platform that provides major organizations worldwide, including Microsoft, IAG, Westpac, and Singtel, with the ability to analyze data and extract insights quickly and efficiently. With offices in Australia and Singapore, the platform allows users of all skill levels to make informed decisions by simplifying data analysis and eliminating repetitive tasks such as number crunching and presentation design. Hyper Anna connects to various databases and supports ad hoc analysis through easy configuration, enabling clients to harness the power of data for better business outcomes. Recognized by industry leaders like Gartner, CB Insights, KPMG, and Deloitte, Hyper Anna is positioned as a leading global innovator in the field of data analytics.

Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Increff is a data and technology company that focuses on enhancing inventory management for fashion and lifestyle brands and retailers. It offers a comprehensive platform that addresses complex inventory challenges through solutions in merchandise planning, allocation, and warehousing. By leveraging its technology, Increff enables brands to improve inventory turnover and sales efficiency while ensuring accurate demand forecasting. The company's approach supports omnichannel retailing and empowers businesses to respond effectively to market demands, ultimately addressing issues related to low profit margins and high working capital tied to inventory. This positions Increff as a valuable partner for global retail and e-commerce brands striving for supply chain efficiency.

Domino Data Lab, Inc. offers an enterprise data science platform that supports both on-premise and cloud-based solutions for data analysis applications. Its primary offerings include Domino Cloud, a managed cloud infrastructure for running and scaling models, and Domino On-Premise, which allows clients to track and audit their analyses. The platform is designed to empower data science teams by enabling collaborative, reusable, and reproducible analysis. Domino Data Lab serves a diverse range of industries, including financial services, healthcare, manufacturing, media, technology, retail, and consumer products. The platform is utilized by model-driven organizations to accelerate research, enhance collaboration, and deliver impactful models efficiently. Founded in 2012 and based in San Francisco, California, the company was formerly known as Cerebro, Inc. before rebranding in 2015.

Ascend.io, based in Palo Alto, California, offers an advanced platform designed to streamline big data analytics and engineering workflows. The platform integrates essential capabilities such as data ingestion, transformation, delivery, orchestration, and observability into a unified solution, enabling data teams to operate significantly faster. By leveraging declarative configurations and automation, Ascend.io manages cloud infrastructure, optimizes data pipelines, and reduces maintenance throughout the data lifecycle. This innovative approach supports business managers in initiating projects and making informed decisions by simplifying connections to various applications. Recognized as a 2021 Gartner Cool Vendor, Ascend.io is supported by prominent venture capital firms and notable advisors in the tech industry.

EverString, established in 2012 and headquartered in San Mateo, California, specializes in a predictive analytics platform designed for B2B companies. Its cloud-based SaaS solution identifies and engages customer prospects by tracking and analyzing user data patterns, developing custom predictive models, and monitoring prospect behaviors to reveal intent. The platform offers predictive scoring, demand generation, and advertisement targeting, aiding clients in building new pipelines and enhancing conversion rates. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.

Lattice Engines, Inc. is a software company that specializes in providing predictive applications for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, the company offers a range of solutions including Lattice Atlas, which uses artificial intelligence to connect various data sources and build audiences, and Lattice for Salesforce, which delivers analytics and insights for sales teams. Other notable products include Lattice for Marketo, which enhances marketing programs with predictive insights, and predictive lead scoring tools designed to identify high-potential leads. The company also offers applications for executing personalized marketing campaigns and strategies for customer retention and expansion. Lattice Engines emphasizes the use of machine learning to drive efficient marketing and sales performance by integrating internal and external data. In addition to its software solutions, the company provides professional curriculum services and maintains a strategic partnership with Engagio Inc. Lattice Engines operates as a subsidiary of The Dun & Bradstreet Corporation.

EverString, established in 2012 and headquartered in San Mateo, California, specializes in a predictive analytics platform designed for B2B companies. Its cloud-based SaaS solution identifies and engages customer prospects by tracking and analyzing user data patterns, developing custom predictive models, and monitoring prospect behaviors to reveal intent. The platform offers predictive scoring, demand generation, and advertisement targeting, aiding clients in building new pipelines and enhancing conversion rates. As of November 2020, EverString operates as a subsidiary of ZoomInfo Technologies Inc.

Metanautix is a provider of big data analytics software designed to assist large enterprises in managing and analyzing vast amounts of data. The company focuses on integrating the data supply chain, enabling organizations to transform their information assets into informed decisions and innovative products. By offering advanced analytics systems, Metanautix helps businesses navigate complex data environments, ultimately enhancing their operational efficiency and decision-making capabilities.

Jin Yun is IDC service provider focused on the research and development of high-tech, user-centered internet products and services that include host leasing, storage expansion, network acceleration, website foundations, database services and more. It also offers vertical cloud services for video cloud industries. Ji Yun’s core products include features such as customized services, elastic expansion, and more. In March 2013, Jin Yun declared to open beta version. The company is a public cloud platform developed by an independent R&D team after integrating the resources of Shaanixi Xipu Network. Shaanxi XiPu Internet Technology Company of Limited Liability was founded in 2008, with a registered capital of 10 million Yuan.

iCreate Software Pvt. Ltd. develops business intelligence (BI) and analytics products and solutions for banking and financial services markets. It offers Biz$core, a banking intelligence solution that enables users to control of their bank’s business performance; and Biz$Manage, an SLA-based managed model that transforms a team of BI into a BI and analytics center for banking sector. The company also provides DEED Workshop, a consulting engagement that helps to understand BI needs and create a BI roadmap. In addition, its business intelligence services include data warehouse design and implementation; extract, transform, and load; and OLAP, reporting, and dashboard development and deployment. Further, the company’s services include re-engineering and enhancement, data quality improvement and consulting, and data extraction and integration; and model development, validation, and integration with reporting. It offers solutions in the areas of BI and reporting, collections, compliance, risk management, and fraud detection. The company serves clients in Africa, the Middle East, APAC, and Europe regions. iCreate Software was founded in 2006 and is headquartered in Bangalore, India.

Cellworks Group is a life sciences technology company based in Saratoga, California, with a research and development facility in Bangalore, India. Founded in 2005, Cellworks operates a biosimulation platform called iC-PHYS, which enhances drug and biomarker discovery through advanced OMICs modeling and computational biosimulation. The company focuses on various therapeutic areas, including oncology, inflammatory diseases, type-2 diabetes, infectious diseases, skin pigmentation and aging, and neurodegenerative disorders. By leveraging innovative technologies and AI heuristics, Cellworks aims to improve clinical outcomes and provide valuable research solutions for pharmaceutical companies, payers, and healthcare providers.

Lattice Engines, Inc. is a software company that specializes in providing predictive applications for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, the company offers a range of solutions including Lattice Atlas, which uses artificial intelligence to connect various data sources and build audiences, and Lattice for Salesforce, which delivers analytics and insights for sales teams. Other notable products include Lattice for Marketo, which enhances marketing programs with predictive insights, and predictive lead scoring tools designed to identify high-potential leads. The company also offers applications for executing personalized marketing campaigns and strategies for customer retention and expansion. Lattice Engines emphasizes the use of machine learning to drive efficient marketing and sales performance by integrating internal and external data. In addition to its software solutions, the company provides professional curriculum services and maintains a strategic partnership with Engagio Inc. Lattice Engines operates as a subsidiary of The Dun & Bradstreet Corporation.

Hua Data Technology is a Chinese professional service company established in March 2002, specializing in high-level data mining and analysis. The firm offers a digital platform that encompasses a range of services, including application software and consulting solutions for marketing analysis, customer relationship management, and decision support. By leveraging advanced data analytics, Hua Data Technology aims to enhance scientific decision-making and optimize management practices for its clients, enabling brands to achieve marketing excellence.

Metanautix is a provider of big data analytics software designed to assist large enterprises in managing and analyzing vast amounts of data. The company focuses on integrating the data supply chain, enabling organizations to transform their information assets into informed decisions and innovative products. By offering advanced analytics systems, Metanautix helps businesses navigate complex data environments, ultimately enhancing their operational efficiency and decision-making capabilities.

Lattice Engines, Inc. is a software company that specializes in providing predictive applications for marketing and sales organizations. Founded in 2006 and headquartered in San Mateo, California, the company offers a range of solutions including Lattice Atlas, which uses artificial intelligence to connect various data sources and build audiences, and Lattice for Salesforce, which delivers analytics and insights for sales teams. Other notable products include Lattice for Marketo, which enhances marketing programs with predictive insights, and predictive lead scoring tools designed to identify high-potential leads. The company also offers applications for executing personalized marketing campaigns and strategies for customer retention and expansion. Lattice Engines emphasizes the use of machine learning to drive efficient marketing and sales performance by integrating internal and external data. In addition to its software solutions, the company provides professional curriculum services and maintains a strategic partnership with Engagio Inc. Lattice Engines operates as a subsidiary of The Dun & Bradstreet Corporation.

DataStax, Inc. is a provider of database software specifically designed for cloud applications, catering to Fortune 100 companies both in the United States and internationally. The company offers a range of products including DataStax Enterprise, which is based on Apache Cassandra and supports online applications requiring high performance and reliability. Additionally, DataStax provides tools such as OpsCenter for database management and monitoring, K8ssandra for deploying Cassandra on Kubernetes, and Astra, a database-as-a-service that significantly reduces deployment time. With a focus on real-time processing, DataStax also enables the building of generative AI applications through its vector database, which supports developers with various integration capabilities. The company's services are complemented by training, certification, support, and consulting. Founded in 2010 and headquartered in Santa Clara, California, DataStax has expanded its presence with offices in multiple global locations including the United Kingdom, Japan, France, Germany, Australia, and Ireland.

Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.

Mixer Labs is the developer behind GeoAPI.com, a robust location engine designed for developers, and TownMe, a local information platform. TownMe aims to digitize local information and connections, providing a comprehensive online representation of communities. The GeoAPI service includes features such as a reverse geocoder, access to 16 million business listings and points of interest with detailed location data, and a writable layer that allows developers to annotate places and conduct complex geo-queries. This functionality supports a variety of applications, making it easier for developers to integrate location-based services into their projects.

LogLogic is a provider of a scalable log and security intelligence platform designed for enterprises and cloud environments. The company serves over 1,300 customers, offering solutions that enable the collection and analysis of vast amounts of data generated by IT assets. LogLogic's platform equips security, IT operations, and compliance professionals with actionable insights to proactively identify issues, make informed decisions, and ensure compliance with various regulations. By managing over 1,000 petabytes of data, LogLogic enhances network stability and security, giving administrators immediate visibility into network activities and translating raw data into meaningful information.

Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.

Mixer Labs is the developer behind GeoAPI.com, a robust location engine designed for developers, and TownMe, a local information platform. TownMe aims to digitize local information and connections, providing a comprehensive online representation of communities. The GeoAPI service includes features such as a reverse geocoder, access to 16 million business listings and points of interest with detailed location data, and a writable layer that allows developers to annotate places and conduct complex geo-queries. This functionality supports a variety of applications, making it easier for developers to integrate location-based services into their projects.

Aster Data Systems specializes in big data management and analysis, offering innovative solutions for data-driven applications. The company's flagship product, nCluster, is a pioneering massively parallel processing (MPP) data warehouse that integrates application logic directly within the database engine, enabling rapid and deep analysis of large data sets. This "applications-within" approach leverages Aster's proprietary SQL-MapReduce technology to facilitate efficient parallelized data processing. Aster Data caters to various industries, with notable clients including Coremetrics, MySpace, Akamai, ShareThis, and Full Tilt Poker. The company is headquartered in San Carlos, California, and is supported by several prominent venture capital firms and industry leaders. In addition to its core database offerings, Aster Data provides a range of services, including analytics, data loading performance, query optimization, and consulting, to enhance the overall user experience and effectiveness of its solutions.

LogLogic is a provider of a scalable log and security intelligence platform designed for enterprises and cloud environments. The company serves over 1,300 customers, offering solutions that enable the collection and analysis of vast amounts of data generated by IT assets. LogLogic's platform equips security, IT operations, and compliance professionals with actionable insights to proactively identify issues, make informed decisions, and ensure compliance with various regulations. By managing over 1,000 petabytes of data, LogLogic enhances network stability and security, giving administrators immediate visibility into network activities and translating raw data into meaningful information.

HyperRoll is a provider of data warehouse performance acceleration software, specializing in its Data Performance Management Suite. This suite enhances load times, query times, and throughput for data warehouses, enabling organizations to respond swiftly to changes in data and metadata while reducing overall costs. HyperRoll's innovative software architecture represents a significant advancement in managing business data performance. In addition to its core software offerings, the company also provides solutions across various sectors, including consumer products, retail, finance, supply chain, and customer relationship management. Furthermore, HyperRoll offers advisory, consulting, education, and technical support services to assist clients in maximizing the benefits of their data management strategies.

LogLogic is a provider of a scalable log and security intelligence platform designed for enterprises and cloud environments. The company serves over 1,300 customers, offering solutions that enable the collection and analysis of vast amounts of data generated by IT assets. LogLogic's platform equips security, IT operations, and compliance professionals with actionable insights to proactively identify issues, make informed decisions, and ensure compliance with various regulations. By managing over 1,000 petabytes of data, LogLogic enhances network stability and security, giving administrators immediate visibility into network activities and translating raw data into meaningful information.

HyperRoll is a provider of data warehouse performance acceleration software, specializing in its Data Performance Management Suite. This suite enhances load times, query times, and throughput for data warehouses, enabling organizations to respond swiftly to changes in data and metadata while reducing overall costs. HyperRoll's innovative software architecture represents a significant advancement in managing business data performance. In addition to its core software offerings, the company also provides solutions across various sectors, including consumer products, retail, finance, supply chain, and customer relationship management. Furthermore, HyperRoll offers advisory, consulting, education, and technical support services to assist clients in maximizing the benefits of their data management strategies.

iPhrase Technologies, Inc. specializes in self-service search and navigation software designed for mission-critical applications. Its flagship product, the One Step™ platform, enhances access to valuable information through advanced technologies such as natural language processing and in-depth analytics. This platform delivers a superior online search experience, providing relevant and user-friendly results across various information sources, including data, documents, and applications. By optimizing existing systems, One Step aims to improve technology investment returns, leading to increased revenue, reduced costs, enhanced customer satisfaction, and greater productivity. iPhrase Technologies caters to organizations with complex offerings, enabling them to automate sales, service, and support operations effectively. The company, founded by former MIT researchers and business leaders, has established a presence in Cambridge, MA, and San Mateo, CA, with a notable client roster that includes Charles Schwab & Co., Neiman Marcus, LexisNexis, and TD Waterhouse.

Vividence offers e-businesses with market information services and evaluation applications. It provides consulting services that focus on online customer experience, market trends, and industry strategies. Vividence enables individuals to earn gift cards by evaluating and giving feedback on e-commerce sites. Vividence was founded in 1998 and is based in San Mateo, California.

iPhrase Technologies, Inc. specializes in self-service search and navigation software designed for mission-critical applications. Its flagship product, the One Step™ platform, enhances access to valuable information through advanced technologies such as natural language processing and in-depth analytics. This platform delivers a superior online search experience, providing relevant and user-friendly results across various information sources, including data, documents, and applications. By optimizing existing systems, One Step aims to improve technology investment returns, leading to increased revenue, reduced costs, enhanced customer satisfaction, and greater productivity. iPhrase Technologies caters to organizations with complex offerings, enabling them to automate sales, service, and support operations effectively. The company, founded by former MIT researchers and business leaders, has established a presence in Cambridge, MA, and San Mateo, CA, with a notable client roster that includes Charles Schwab & Co., Neiman Marcus, LexisNexis, and TD Waterhouse.

Syndesis Health operates a biotechnology research company, offering comprehensive data solutions to biotechnology, pharmaceutical, and research organizations. Their expertise lies in providing detailed and accurate data on demographics, treatments, procedures, interventions, medications, and pathology, empowering professionals to enhance patient outcomes and improve healthcare industry practices.

Vividence offers e-businesses with market information services and evaluation applications. It provides consulting services that focus on online customer experience, market trends, and industry strategies. Vividence enables individuals to earn gift cards by evaluating and giving feedback on e-commerce sites. Vividence was founded in 1998 and is based in San Mateo, California.

Yodlee, Inc. is a technology company that operates a cloud-based platform known as the Yodlee Financial Cloud, which provides a range of digital financial services. Founded in 1999 and headquartered in Redwood City, California, Yodlee delivers financial applications designed for various sectors, including retail finance, wealth management, and small businesses. These applications, or FinApps, allow consumers and small enterprises to manage their finances more effectively by tracking spending, reviewing accounts, and calculating net worth. The platform also offers open application programming interfaces that enable clients to build their own applications while accessing secure financial data and money movement solutions. Yodlee serves financial institutions, internet service companies, and third-party developers, providing comprehensive data solutions and market research services. As of November 2015, Yodlee operates as a subsidiary of Envestnet, Inc.

Bytez is a New York-based company that specializes in providing a platform for developers and data scientists to access machine learning research and resources. Founded in 2018, Bytez aims to simplify the process of finding, understanding, and utilizing open-source AI technologies. The platform offers features such as personalized AI feeds, interactive content, and access to a variety of datasets and source AI models. By enabling teams to discover, demo, and deploy AI solutions more efficiently, Bytez helps organizations compare and run large AI models at scale, ultimately saving time and reducing costs.

Statsig is a digital product testing platform that empowers businesses to make informed decisions through robust product experimentation. Unlike traditional A/B testing tools, Statsig tracks the impact of every feature release, allowing teams to quantify the effects of their efforts comprehensively. Its Product Observability feature enables teams to identify significant metric drops shortly after launching new features, facilitating quick divestment from underperforming initiatives and encouraging investment in successful ones. By adopting Statsig, modern product teams have experienced increased product velocity and enhanced decision-making capabilities. The company’s founding team, which includes former Facebook employees, aims to revamp the data tools infrastructure that supported Facebook's growth over the past decade.