Wing Venture Capital

Hydrolix is a data lake platform focused on enhancing the cost efficiency of log data management for organizations dealing with large volumes of information. The company offers a robust solution that addresses challenges in data storage, real-time analytics, and scalability. By utilizing elastic cloud technology, Hydrolix enables high-performance query capabilities for high-volume, high-cardinality data stored in affordable cloud environments. Their platform features high-density compression, scale-to-zero controls, and zero-egress on-prem deployment, significantly lowering costs associated with ingesting, querying, and storing append-only data. This allows clients to execute sub-second interactive queries while maintaining consistent performance, even as data demands grow.

Wherobots is a company focused on harnessing spatial intelligence across various domains, including earth, society, and business. It operates a cloud-native data analytics platform designed to assist businesses in processing data within a geospatial context. The platform enables users to collect, analyze, visualize, integrate, store, and manage geospatial data effectively. By leveraging advanced data and AI technologies, Wherobots simplifies the utilization of spatial intelligence, allowing organizations to derive meaningful insights from their enterprise data and make informed, data-driven decisions.

Hydrolix is a data lake platform focused on enhancing the cost efficiency of log data management for organizations dealing with large volumes of information. The company offers a robust solution that addresses challenges in data storage, real-time analytics, and scalability. By utilizing elastic cloud technology, Hydrolix enables high-performance query capabilities for high-volume, high-cardinality data stored in affordable cloud environments. Their platform features high-density compression, scale-to-zero controls, and zero-egress on-prem deployment, significantly lowering costs associated with ingesting, querying, and storing append-only data. This allows clients to execute sub-second interactive queries while maintaining consistent performance, even as data demands grow.

Wherobots is a company focused on harnessing spatial intelligence across various domains, including earth, society, and business. It operates a cloud-native data analytics platform designed to assist businesses in processing data within a geospatial context. The platform enables users to collect, analyze, visualize, integrate, store, and manage geospatial data effectively. By leveraging advanced data and AI technologies, Wherobots simplifies the utilization of spatial intelligence, allowing organizations to derive meaningful insights from their enterprise data and make informed, data-driven decisions.

Hydrolix is a data lake platform focused on enhancing the cost efficiency of log data management for organizations dealing with large volumes of information. The company offers a robust solution that addresses challenges in data storage, real-time analytics, and scalability. By utilizing elastic cloud technology, Hydrolix enables high-performance query capabilities for high-volume, high-cardinality data stored in affordable cloud environments. Their platform features high-density compression, scale-to-zero controls, and zero-egress on-prem deployment, significantly lowering costs associated with ingesting, querying, and storing append-only data. This allows clients to execute sub-second interactive queries while maintaining consistent performance, even as data demands grow.

Pinecone is a technology company that specializes in developing a vector database platform designed to facilitate the deployment of complex machine learning applications. Its platform integrates vector search capabilities, filtering features, and robust distribution infrastructure, ensuring reliable performance at any scale. By providing real-time serving engines for deep learning retrieval applications, Pinecone enables developers to efficiently transform, search, and rank multi-dimensional vectors, significantly reducing processing time and enhancing the overall effectiveness of generative AI models.

Pinecone is a technology company that specializes in developing a vector database platform designed to facilitate the deployment of complex machine learning applications. Its platform integrates vector search capabilities, filtering features, and robust distribution infrastructure, ensuring reliable performance at any scale. By providing real-time serving engines for deep learning retrieval applications, Pinecone enables developers to efficiently transform, search, and rank multi-dimensional vectors, significantly reducing processing time and enhancing the overall effectiveness of generative AI models.

Validere Technologies Inc. is a Toronto-based company that specializes in providing critical information about liquids through innovative measurement, reporting, and verification solutions. Founded in 2015, Validere develops portable devices, including the Validere Identifier, which assesses the hazardous nature of liquids by referencing a comprehensive library. Additionally, the company offers EDGE Connect, a platform that facilitates secure connections between buyers and sellers, enabling the discovery of arbitrage opportunities. Validere's main focus is on liquid fingerprinting, industrial process monitoring, and optimizing logistics within the energy sector. By delivering accessible and verifiable testing data, Validere aids organizations in making informed business decisions and enhances the accuracy of crude oil testing, ensuring accountability and quality across operations. The company's expertise in emissions management and tracking further positions it as a valuable partner for energy companies seeking to improve their financial and environmental performance.

Noteable is a collaborative notebook platform designed for data-driven teams, allowing them to visualize and analyze data effectively. The platform offers a no-code environment that facilitates collaboration and empowers users to leverage analytics and machine learning capabilities. By providing a streamlined experience for data analytics and data science, Noteable enables teams to work with data in a manner that aligns with their preferences, ultimately driving better business outcomes.

Habu is a marketing data operating system that helps brands enhance their first-party data while prioritizing privacy. The company's modular platform is designed to integrate with existing marketing technologies, including legacy systems, allowing marketers to avoid additional investments in new platforms. Habu enables brands to establish a robust data foundation, uncover actionable insights, and deliver personalized marketing across multiple channels. With its focus on automated privacy compliance, Habu supports clients in navigating the complexities of data management in a privacy-conscious environment. The company is headquartered in San Francisco and has additional offices in Boston and New York.

Lumigo Ltd. operates a platform designed for monitoring, troubleshooting, and optimizing serverless applications. Founded in 2018 and based in Tel Aviv, Israel, the platform leverages data analysis to understand the normal behavior of serverless applications, providing live visual maps and insights for developers. This functionality enables operations teams to trace requests not only through the serverless infrastructure but also across related services, such as databases and storage. By implementing distributed tracing, Lumigo offers end-to-end stack traces that include full HTTP payload data, allowing organizations to quickly address critical production issues without the need for extensive logging. The platform also enhances visibility and traceability, helping enterprises prevent service disruptions through actionable alerts based on user behavior analytics.

Cogniac Corporation is a technology company based in San Jose, California, founded in 2015. It specializes in developing an enterprise platform designed for AI-grade visual observation, enabling businesses to automate various visual tasks efficiently. The platform allows users to connect machine vision cameras, security cameras, drones, and mobile images, facilitating the definition of use cases and objects of interest relevant to their media. Cogniac's technology leverages advanced deep learning to extract valuable information from vast streams of video and image data, achieving performance levels that often surpass human capabilities in focused observation tasks. Its applications span across industrial, manufacturing, and safety and security sectors, providing real-time alerts and feedback to enhance application performance and visual data management.

Hydrolix is a data lake platform focused on enhancing the cost efficiency of log data management for organizations dealing with large volumes of information. The company offers a robust solution that addresses challenges in data storage, real-time analytics, and scalability. By utilizing elastic cloud technology, Hydrolix enables high-performance query capabilities for high-volume, high-cardinality data stored in affordable cloud environments. Their platform features high-density compression, scale-to-zero controls, and zero-egress on-prem deployment, significantly lowering costs associated with ingesting, querying, and storing append-only data. This allows clients to execute sub-second interactive queries while maintaining consistent performance, even as data demands grow.

Pinecone is a technology company that specializes in developing a vector database platform designed to facilitate the deployment of complex machine learning applications. Its platform integrates vector search capabilities, filtering features, and robust distribution infrastructure, ensuring reliable performance at any scale. By providing real-time serving engines for deep learning retrieval applications, Pinecone enables developers to efficiently transform, search, and rank multi-dimensional vectors, significantly reducing processing time and enhancing the overall effectiveness of generative AI models.

Cogniac Corporation is a technology company based in San Jose, California, founded in 2015. It specializes in developing an enterprise platform designed for AI-grade visual observation, enabling businesses to automate various visual tasks efficiently. The platform allows users to connect machine vision cameras, security cameras, drones, and mobile images, facilitating the definition of use cases and objects of interest relevant to their media. Cogniac's technology leverages advanced deep learning to extract valuable information from vast streams of video and image data, achieving performance levels that often surpass human capabilities in focused observation tasks. Its applications span across industrial, manufacturing, and safety and security sectors, providing real-time alerts and feedback to enhance application performance and visual data management.

Noteable is a collaborative notebook platform designed for data-driven teams, allowing them to visualize and analyze data effectively. The platform offers a no-code environment that facilitates collaboration and empowers users to leverage analytics and machine learning capabilities. By providing a streamlined experience for data analytics and data science, Noteable enables teams to work with data in a manner that aligns with their preferences, ultimately driving better business outcomes.

Vimaan is a computer vision and AI solution company focused on enhancing inventory management in warehouses. By automating and digitizing inventory tasks, Vimaan addresses the challenges associated with maintaining accurate stock levels. Their suite of products includes solutions for various applications, such as dock tracking, storage management, and order picking. These tools are designed to support warehousing and logistics companies, ultimately enabling clients to improve the efficiency of their supply chains. Vimaan aims to streamline processes from receiving and storing items to order fulfillment and shipping, thus facilitating better inventory control in a range of industries.

Validere Technologies Inc. is a Toronto-based company that specializes in providing critical information about liquids through innovative measurement, reporting, and verification solutions. Founded in 2015, Validere develops portable devices, including the Validere Identifier, which assesses the hazardous nature of liquids by referencing a comprehensive library. Additionally, the company offers EDGE Connect, a platform that facilitates secure connections between buyers and sellers, enabling the discovery of arbitrage opportunities. Validere's main focus is on liquid fingerprinting, industrial process monitoring, and optimizing logistics within the energy sector. By delivering accessible and verifiable testing data, Validere aids organizations in making informed business decisions and enhances the accuracy of crude oil testing, ensuring accountability and quality across operations. The company's expertise in emissions management and tracking further positions it as a valuable partner for energy companies seeking to improve their financial and environmental performance.

Vimaan is a computer vision and AI solution company focused on enhancing inventory management in warehouses. By automating and digitizing inventory tasks, Vimaan addresses the challenges associated with maintaining accurate stock levels. Their suite of products includes solutions for various applications, such as dock tracking, storage management, and order picking. These tools are designed to support warehousing and logistics companies, ultimately enabling clients to improve the efficiency of their supply chains. Vimaan aims to streamline processes from receiving and storing items to order fulfillment and shipping, thus facilitating better inventory control in a range of industries.

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.

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.

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.

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.

Xcalar, Inc., founded in 2013 and based in San Jose, California, specializes in data infrastructure services through its innovative analytics platform. This platform facilitates the Fundamental Discovery of significant insights directly from petabytes of raw data, enabling businesses to uncover information that would otherwise remain hidden. Xcalar's technology features a relational scale-out compute architecture that enhances the accessibility and management of big data, streamlining the analysis process. Notably, it employs a patent-pending True Data In Place technology that eliminates the need for data preparation or shuffling, allowing for immediate analysis without data movement. This approach results in significantly faster time-to-insight, making Xcalar's solutions highly efficient for organizations dealing with complex datasets.

Platfora is a developer of data-management software that focuses on helping businesses process and analyze big data. Its Big Data Analytics Platform simplifies the complexities associated with Hadoop, allowing customers to gain clear insights into various aspects of their operations, including events, actions, and behaviors over time. By enabling visually interactive data exploration, Platfora empowers organizations to transform into fact-based enterprises, enhancing their decision-making capabilities and overall business performance.

InsightsOne specializes in cloud-based predictive analytics solutions utilizing big data to enhance consumer marketing strategies. Founded by a team with experience in developing Yahoo!'s renowned consumer data and analytics platform, InsightsOne delivers real-time targeting and marketing insights that enable consumer marketers to optimize the relevance and profitability of their offers. The company employs advanced Hadoop-based micro-segmentation technology to analyze both structured and unstructured data, extracting valuable signals from various sources, including social and mobile platforms. By leveraging these insights, businesses can refine their marketing communications across email, mobile, in-app, social, and web channels. InsightsOne operates on a subscription model, allowing clients to access its services without the need for significant upfront investments in hardware or software. Headquartered in Santa Clara, California, InsightsOne is backed by Norwest Venture Partners.

Platfora is a developer of data-management software that focuses on helping businesses process and analyze big data. Its Big Data Analytics Platform simplifies the complexities associated with Hadoop, allowing customers to gain clear insights into various aspects of their operations, including events, actions, and behaviors over time. By enabling visually interactive data exploration, Platfora empowers organizations to transform into fact-based enterprises, enhancing their decision-making capabilities and overall business performance.