SurrealDB
Series A in 2024
SurrealDB is a versatile, multi-model database designed for modern and traditional applications. It offers cloud readiness, deployment flexibility across various environments, and a focus on developer experience, ensuring scalability and data consistency without platform concerns.
Founded in 2018, Ocient develops a high-performance data analytics platform designed for rapid analysis of massive datasets. Its platform efficiently handles large datasets measured in terabytes, petabytes, or exabytes with trillions or quadrillions of rows, enabling organizations to harness the power of big data at scale and velocity.
Polybase Labs
Pre Seed Round in 2023
Polybase Labs is a company that specializes in providing a web3 platform for database management, leveraging blockchain technology to ensure a decentralized and secure approach to data storage. The platform supports various types of data, including user profiles and transaction histories, utilizing zero-knowledge technology to enhance information security, privacy, and integrity. By offering a robust solution for developers and organizations, Polybase Labs facilitates the secure management of sensitive data while promoting decentralized storage solutions.
Polybase Labs
Pre Seed Round in 2022
Polybase Labs is a company that specializes in providing a web3 platform for database management, leveraging blockchain technology to ensure a decentralized and secure approach to data storage. The platform supports various types of data, including user profiles and transaction histories, utilizing zero-knowledge technology to enhance information security, privacy, and integrity. By offering a robust solution for developers and organizations, Polybase Labs facilitates the secure management of sensitive data while promoting decentralized storage solutions.
ApertureData
Seed Round in 2022
ApertureData develops a unified database platform that streamlines AI deployment by centralizing diverse datasets like images, videos, documents, and embeddings. It offers knowledge graph and vector search capabilities, enhancing productivity for data science teams building multimodal AI solutions.
Intrinio is a financial data company that provides an API‑based platform designed to make financial information affordable and easily accessible. The service offers a wide range of data feeds, including fundamentals, economic indicators, insider transactions, institutional holdings, executive compensation, stock and options prices, and earnings estimates. By delivering data from SEC filings and other sources in user‑friendly formats, Intrinio enables investors and developers to focus on analysis and innovation rather than data collection and entry. The company’s marketplace model connects data providers, developers, and investors, fostering a more efficient and developer‑centric financial data ecosystem.
Founded in 2019, bit.io is a San Francisco-based company offering a zero-configurable, scalable cloud database. It combines secure data storage and querying with social features akin to GitHub, enabling users to share databases easily.
Ondat is a developer of a cloud-native storage platform that facilitates persistent storage volumes directly on any Kubernetes node, offering flexibility in data management for containerized applications. The platform enables users to deploy applications and data storage across various environments, ensuring high levels of application performance, resilience, and dependability. Ondat supports containerized databases and CI/CD workloads, providing advanced features such as erasure coding, replication, and data reduction through deduplication and compression. Additionally, it enhances data mobility with replication and migration services, ensuring secure data storage and management through encryption and policy management. This empowers clients to maintain control over their data while optimizing their cloud infrastructure.
Founded in 2018, Ocient develops a high-performance data analytics platform designed for rapid analysis of massive datasets. Its platform efficiently handles large datasets measured in terabytes, petabytes, or exabytes with trillions or quadrillions of rows, enabling organizations to harness the power of big data at scale and velocity.
Fauna, Inc. is a cloud-based platform that specializes in providing a NoSQL database solution designed for modern serverless applications. The company's flagship product, FaunaDB, features a distributed transactional query engine, a web-native GraphQL API, and a serverless query language (FQL), enabling developers to create applications with custom business logic efficiently. FaunaDB supports various data models, including relational, document, and graph data, and offers capabilities such as access control, data isolation, encryption security, and consistent performance metrics. The platform is designed for frictionless integration with various JavaScript frameworks and programming languages, making it adaptable for diverse development environments. Founded in 2011 and headquartered in San Francisco, California, Fauna is a fully remote organization driven by a leadership team with extensive experience in the tech industry, and it serves a variety of customers, including notable innovators like Nextdoor and NVIDIA.
Intrinio is a financial data company that provides an API‑based platform designed to make financial information affordable and easily accessible. The service offers a wide range of data feeds, including fundamentals, economic indicators, insider transactions, institutional holdings, executive compensation, stock and options prices, and earnings estimates. By delivering data from SEC filings and other sources in user‑friendly formats, Intrinio enables investors and developers to focus on analysis and innovation rather than data collection and entry. The company’s marketplace model connects data providers, developers, and investors, fostering a more efficient and developer‑centric financial data ecosystem.
Founded in 2018, Ocient develops a high-performance data analytics platform designed for rapid analysis of massive datasets. Its platform efficiently handles large datasets measured in terabytes, petabytes, or exabytes with trillions or quadrillions of rows, enabling organizations to harness the power of big data at scale and velocity.