Alumni Ventures Group

Tembo develops a background engineering platform that automates routine tasks for software teams. Its always-on agents monitor systems, fix bugs automatically, and complete assigned tasks, enhancing pull request velocity and reducing manual workload.

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.

Activeloop is a technology company that specializes in providing a distributed cloud computing platform designed for building and scaling data pipelines for machine learning applications. Its flagship product, Deep Lake, is a database optimized for artificial intelligence, particularly for deep learning and large language model (LLM) applications. Deep Lake offers a unique storage format that accommodates various data types, including embeddings, audio, text, videos, images, and annotations. The platform features capabilities for querying, vector search, data streaming during model training, and comprehensive data versioning and lineage management. Deep Lake is designed to handle data of any size in a serverless environment, facilitating seamless integration with popular tools such as LangChain and Weights & Biases. The platform is utilized by notable organizations, including Bayer Radiology and Matterport. Founded by a team with backgrounds from prestigious institutions such as Princeton and Stanford, Activeloop has garnered support from Y Combinator, positioning itself as a key player in the machine learning and AI data management landscape.

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 develops a web3 database platform that leverages blockchain technology and zero-knowledge cryptography to provide decentralized, secure storage and management of data. The platform handles various data types, including user profiles and transaction histories, with a focus on privacy, data integrity, and decentralized storage for developers and organizations.

Polybase develops a web3 database platform that leverages blockchain technology and zero-knowledge cryptography to provide decentralized, secure storage and management of data. The platform handles various data types, including user profiles and transaction histories, with a focus on privacy, data integrity, and decentralized storage for developers and organizations.

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.

Databento is a company that specializes in providing streamlined access to financial market data. Founded by experienced traders and engineers from renowned quantitative hedge funds, Databento offers a self-service platform that allows users to quickly obtain live exchange feeds and extensive historical data. The platform automates data licensing and minimizes onboarding time, making it easier for businesses and financial institutions to access high-quality, institutional-grade data directly from the source. Databento's servers are strategically located in colocation facilities at various trading venues, ensuring low-latency and reliable data capture. Users can choose between a pay-as-you-go model or flat-rate pricing, allowing them to manage costs effectively according to their data usage needs.

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.

Ampool, Inc. is a technology company based in Los Altos, California, founded in 2015. It specializes in developing an extensible in-memory platform that enhances analytic capabilities by integrating streaming and historical data. The company offers a cloud-native analytics engine known as the Ampool Active Data Store, which facilitates real-time data processing, including stream ingestion, batch analytics, and interactive queries. Designed for performance and reliability, the platform utilizes a memory-centric architecture that enables fast query processing while maintaining data integrity. Ampool serves a diverse range of industries, including finance, telecommunications, retail, media, and the Internet of Things, aiding organizations in achieving actionable insights and improving decision-making through advanced data analytics.

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.

Hatch Apps is a no-code platform that enables teams to create mobile applications, APIs, and databases without requiring extensive technical expertise. By providing a user-friendly interface, Hatch Apps allows businesses to efficiently manage and update their applications, significantly reducing the time and cost associated with traditional software development. The company aims to democratize software development, ensuring that individuals and organizations, regardless of their technical background, can build high-quality software solutions. With a cloud-based application platform, Hatch Apps is focused on driving efficiency and growth for its users while being supported by notable investors in the tech industry.