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.

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.

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.

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.

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.

StepZen, Inc. is a technology company based in San Jose, California, that specializes in API development. Founded in 2020, the company provides a platform that enables developers to efficiently build APIs that integrate and connect data from various backend sources. Its distinct GraphQL server allows for rapid API creation with minimal coding through the use of declarative configurations. The platform facilitates access to data from multiple sources within a single query, supporting highly responsive applications thanks to its in-memory Golang-based GraphQL engine deployed in Kubernetes. This innovative approach streamlines the backend process for clients, enhancing overall efficiency and performance in data management.

Primary Data, founded in 2013 and headquartered in Sandy, Utah, specializes in intelligence and automation software designed for enterprise data management. The company's flagship platform, DataSphere, integrates metadata management with machine learning to facilitate the seamless movement of data across both on-premises IT infrastructure and cloud environments. This innovative solution allows enterprises to manage vast amounts of data efficiently, making billions of files accessible to all applications simultaneously. DataSphere not only automates data migration and enhances cloud integration but also optimizes NAS performance, enabling organizations to maximize the value of their infrastructure investments. Through its advanced capabilities, Primary Data supports enterprises operating at petabyte scale, ensuring that the right data is delivered to the right location at the right time without disrupting applications.

ScyllaDB is a company specializing in the development of high-performance, scalable column store database software, particularly suited for data-intensive applications. It offers both open-source and enterprise versions of its product, which can be deployed in various environments, alongside ScyllaDB Cloud, a fully-managed Database as a Service available on major cloud platforms like AWS and Google Cloud. The software is designed to support wide-column NoSQL workloads and is fully compatible with popular systems such as Apache Cassandra and Amazon DynamoDB. Founded as Cloudius Systems, ScyllaDB is based in Herzliya, Israel, and aims to deliver exceptional performance and low latency while reducing costs, enabling organizations to leverage modern multi-core servers effectively as their data needs evolve.