Wing Venture Partners

Hydrolix is a data lake platform that aims to enhance the cost efficiency of log data management for organizations dealing with large volumes of data. The company specializes in providing high-performance, scalable data storage solutions that cater to both structured and unstructured data. Its technology features high-density compression and scale-to-zero controls, allowing clients to perform sub-second interactive queries while minimizing costs related to data ingestion, querying, and storage. With a focus on real-time analytics, Hydrolix addresses the challenges of data management, ensuring consistent performance as data volumes grow. Their platform is designed to adapt to the evolving data needs of enterprises, making it a valuable asset for organizations looking to optimize their data handling capabilities.

Wherobots is a company that specializes in cloud-native data analytics, focusing on geospatial data to enhance spatial intelligence across various sectors. Its platform simplifies the processes of collecting, analyzing, visualizing, integrating, storing, and managing geospatial data, enabling businesses to derive actionable insights from their enterprise data. By utilizing advanced data and AI technologies, Wherobots aims to facilitate data-driven decision-making and unlock the potential of spatial intelligence at a global scale. The company's solutions are designed to be compatible with modern open data architectures, making it accessible and effective for a wide range of applications.

AirOps is a technology company specializing in data analytics platforms. It empowers operators to transform business data into actionable insights, offering interactive enterprise analytics, data discovery tools, and streamlined analysis processes. This enables businesses to generate more revenue from their data.

Hydrolix is a data lake platform that aims to enhance the cost efficiency of log data management for organizations dealing with large volumes of data. The company specializes in providing high-performance, scalable data storage solutions that cater to both structured and unstructured data. Its technology features high-density compression and scale-to-zero controls, allowing clients to perform sub-second interactive queries while minimizing costs related to data ingestion, querying, and storage. With a focus on real-time analytics, Hydrolix addresses the challenges of data management, ensuring consistent performance as data volumes grow. Their platform is designed to adapt to the evolving data needs of enterprises, making it a valuable asset for organizations looking to optimize their data handling capabilities.

Wherobots is a company that specializes in cloud-native data analytics, focusing on geospatial data to enhance spatial intelligence across various sectors. Its platform simplifies the processes of collecting, analyzing, visualizing, integrating, storing, and managing geospatial data, enabling businesses to derive actionable insights from their enterprise data. By utilizing advanced data and AI technologies, Wherobots aims to facilitate data-driven decision-making and unlock the potential of spatial intelligence at a global scale. The company's solutions are designed to be compatible with modern open data architectures, making it accessible and effective for a wide range of applications.

Hydrolix is a data lake platform that aims to enhance the cost efficiency of log data management for organizations dealing with large volumes of data. The company specializes in providing high-performance, scalable data storage solutions that cater to both structured and unstructured data. Its technology features high-density compression and scale-to-zero controls, allowing clients to perform sub-second interactive queries while minimizing costs related to data ingestion, querying, and storage. With a focus on real-time analytics, Hydrolix addresses the challenges of data management, ensuring consistent performance as data volumes grow. Their platform is designed to adapt to the evolving data needs of enterprises, making it a valuable asset for organizations looking to optimize their data handling capabilities.

Pinecone is a technology company that specializes in developing a vector database designed to facilitate the integration of company data with generative AI models. Its platform provides a suite of tools, including vector search libraries and filtering capabilities, which enhance the efficiency and reliability of machine learning applications. By enabling real-time serving engines for deep learning retrieval, Pinecone allows developers to transform, search, and rank multidimensional vectors swiftly, supporting the deployment of complex machine learning models at scale.

AirOps is a technology company specializing in data analytics platforms. It empowers operators to transform business data into actionable insights, offering interactive enterprise analytics, data discovery tools, and streamlined analysis processes. This enables businesses to generate more revenue from their data.

Pinecone is a technology company that specializes in developing a vector database designed to facilitate the integration of company data with generative AI models. Its platform provides a suite of tools, including vector search libraries and filtering capabilities, which enhance the efficiency and reliability of machine learning applications. By enabling real-time serving engines for deep learning retrieval, Pinecone allows developers to transform, search, and rank multidimensional vectors swiftly, supporting the deployment of complex machine learning models at scale.

Noteable is a developer of a no-code collaborative notebook platform that enhances data analytics and visualization for teams. The platform facilitates a seamless experience for data-driven teams by allowing them to analyze and visualize data in a way that suits their workflows. It integrates analytics and machine learning capabilities, empowering users to drive meaningful business outcomes. Noteable's focus on collaboration ensures that data science and analytics teams can work together effectively, making data exploration and interpretation more accessible and efficient.

Lumigo Ltd. is a technology company that focuses on developing a serverless intelligence platform designed to assist developers in monitoring, troubleshooting, and optimizing serverless applications. Founded in 2018 and headquartered in Tel Aviv, Israel, Lumigo's platform leverages data analysis to learn the normal behavior of serverless applications, providing live visual maps and insights that help identify and resolve issues quickly. The platform offers end-to-end visibility and traceability, allowing operations teams to understand each request and pinpoint the root causes of problems, including interactions with adjacent services like databases and storage. By enabling actionable alerts based on user behavior analytics, Lumigo empowers organizations to prevent service disruptions and enhance the reliability of their cloud applications.

Founded in 2015, Cogniac designs and develops an enterprise platform for AI-grade visual observation. Its platform enables users to automate various visual tasks by connecting diverse media sources, defining use cases, monitoring performance, and integrating real-time alerts.

Hydrolix is a data lake platform that aims to enhance the cost efficiency of log data management for organizations dealing with large volumes of data. The company specializes in providing high-performance, scalable data storage solutions that cater to both structured and unstructured data. Its technology features high-density compression and scale-to-zero controls, allowing clients to perform sub-second interactive queries while minimizing costs related to data ingestion, querying, and storage. With a focus on real-time analytics, Hydrolix addresses the challenges of data management, ensuring consistent performance as data volumes grow. Their platform is designed to adapt to the evolving data needs of enterprises, making it a valuable asset for organizations looking to optimize their data handling capabilities.

Pinecone is a technology company that specializes in developing a vector database designed to facilitate the integration of company data with generative AI models. Its platform provides a suite of tools, including vector search libraries and filtering capabilities, which enhance the efficiency and reliability of machine learning applications. By enabling real-time serving engines for deep learning retrieval, Pinecone allows developers to transform, search, and rank multidimensional vectors swiftly, supporting the deployment of complex machine learning models at scale.

Founded in 2015, Cogniac designs and develops an enterprise platform for AI-grade visual observation. Its platform enables users to automate various visual tasks by connecting diverse media sources, defining use cases, monitoring performance, and integrating real-time alerts.

Noteable is a developer of a no-code collaborative notebook platform that enhances data analytics and visualization for teams. The platform facilitates a seamless experience for data-driven teams by allowing them to analyze and visualize data in a way that suits their workflows. It integrates analytics and machine learning capabilities, empowering users to drive meaningful business outcomes. Noteable's focus on collaboration ensures that data science and analytics teams can work together effectively, making data exploration and interpretation more accessible and efficient.

Vimaan is a technology company specializing in computer vision and AI solutions for warehouse inventory management. Their systems employ AI-powered cameras, autonomous drones, and machine learning algorithms to capture, digitize, and analyze inventory data across warehouses, enhancing inventory accuracy and reducing manual labor.

Vimaan is a technology company specializing in computer vision and AI solutions for warehouse inventory management. Their systems employ AI-powered cameras, autonomous drones, and machine learning algorithms to capture, digitize, and analyze inventory data across warehouses, enhancing inventory accuracy and reducing manual labor.

Xcalar, Inc. is a data infrastructure services company based in San Jose, California, founded in 2013. It provides a business analytics platform that enables users to extract meaningful insights directly from petabytes of raw data without the need for data preparation or movement, thanks to its patented True Data In Place technology. This innovative approach allows for fundamental discovery of insights at unprecedented speed and scale, significantly reducing the time required to analyze complex datasets. Xcalar's platform simplifies the management, modeling, and analysis of big data, making it an essential tool for modern data applications, business intelligence, and reporting tools. By eliminating the need for data shuffling, Xcalar enhances efficiency and accessibility, facilitating a more straightforward pathway to uncover valuable information from extensive data resources.

Platfora is a developer of data-management software that focuses on helping businesses process and interpret large volumes of data. Its Big Data Analytics Platform simplifies the complexities associated with Hadoop, allowing customers to gain insights into their business by visualizing events, actions, and behaviors over time. The platform aims to empower organizations to transition into fact-based enterprises by making data more accessible and comprehensible, thereby facilitating informed decision-making and strategic planning.

Platfora is a developer of data-management software that focuses on helping businesses process and interpret large volumes of data. Its Big Data Analytics Platform simplifies the complexities associated with Hadoop, allowing customers to gain insights into their business by visualizing events, actions, and behaviors over time. The platform aims to empower organizations to transition into fact-based enterprises by making data more accessible and comprehensible, thereby facilitating informed decision-making and strategic planning.