Nava Ventures

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.

Yurts is an enterprise-focused platform that leverages generative artificial intelligence to enhance knowledge management and streamline business processes. By integrating advanced Large Language Models (LLMs) and sophisticated AI applications, Yurts enables organizations to deploy secure AI-driven language solutions while mitigating complexities and addressing privacy and security challenges. The platform empowers individuals and businesses to optimize their workflows and connect with their best work, revolutionizing how enterprises utilize generative models in a secure and reliable manner.

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.

Yurts is an enterprise-focused platform that leverages generative artificial intelligence to enhance knowledge management and streamline business processes. By integrating advanced Large Language Models (LLMs) and sophisticated AI applications, Yurts enables organizations to deploy secure AI-driven language solutions while mitigating complexities and addressing privacy and security challenges. The platform empowers individuals and businesses to optimize their workflows and connect with their best work, revolutionizing how enterprises utilize generative models in a secure and reliable manner.

AnthologyAI is the breakthrough Artificial Intelligence Consumer Insights & Predictions Platform with billions of real-time data sourced directly and ethically from consumers. Access previously unavailable levels of intelligence about retail spending, geolocation, media consumption, travel, ride sharing and more — in realtime, at scale.

Knot is the first merchant connectivity platform offering card-on-file switching for hundreds of online merchant accounts. Major financial institutions and startups embed Knot’s SDK to power customer experiences. Headquartered in New York City, Knot was founded in 2021 by Rory and Kieran O’Reilly and is backed by leading investors, including Nava Ventures, 8VC, American Express, Plaid, and many more.

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.

Union.ai is a Kubernetes-native workflow orchestration platform for data and machine learning at scale. Union.ai provides software users with the tools they need to move their ideas from concept to high-quality production. Union's aim is to organize the numerous processes required to train and grow the most sophisticated and dynamic machine learning and data products.

OpenLoop Health is a technology company that provides a comprehensive infrastructure for digital healthcare, enabling healthcare organizations to enhance their service delivery. The company offers a full-stack platform that simplifies telehealth by centralizing essential services, including clinician support, laboratory services, medication management, and regulatory compliance. OpenLoop's solutions are designed to assist healthcare companies in scaling their virtual care services effectively, addressing staff shortages by maintaining an updated provider database and facilitating job matching based on location and specialty. This streamlined approach supports healthcare institutions in efficiently meeting their staffing needs while ensuring high-quality patient care.

EdgeDB is an innovative company focused on transforming the relational database landscape. Founded in 2019 and based in San Francisco, it offers an open-source object-relational database platform designed to address common challenges faced by developers and data engineers. By introducing a streamlined data model and a powerful query language, EdgeDB aims to enhance productivity and ease of use, making data management more efficient. The platform enables developers to construct complex queries, subqueries, and nested inserts with a composable syntax that simplifies the representation of selection sets and property assignments. This approach helps mitigate the impedance mismatch often encountered in traditional databases, allowing for the development of safer and more efficient software.