Uncorrelated Ventures

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.

Savant Labs specializes in an analytics automation platform tailored for analysts and operations teams. This platform provides a low-code, no-code solution that facilitates data access, preparation, blending, and analysis, along with the automated delivery of insights to various applications and dashboards. By streamlining the collection and exploration of data, as well as enabling transformation and analysis, Savant Labs empowers analysts to independently leverage data assets and automate repetitive tasks. The platform also incorporates features for collaboration tracking and governance, thus supporting businesses in integrating analytics and automation to enhance their overall operations.

Airfold is a technology company that specializes in developing a real-time data platform. This platform is designed to handle both structured and unstructured data, offering real-time ingestion and processing capabilities. It features SQL and AI pipelines in YAML, and allows clients to publish any pipeline result as a REST API. The company serves a diverse range of clients, from startups to large enterprises, and is backed by prominent investors who have also supported successful companies like Databricks, Figma, and Airtable.

DataCebo specializes in the development of synthetic data libraries aimed at generating data for simulations. The company provides a variety of machine-learning models alongside benchmarking and evaluation frameworks. This enables businesses to effectively incorporate synthetic data into their workflows, enhancing their data management and analysis capabilities. Through its innovative solutions, DataCebo supports organizations in leveraging synthetic data to improve decision-making and operational efficiency.

Savant Labs specializes in an analytics automation platform tailored for analysts and operations teams. This platform provides a low-code, no-code solution that facilitates data access, preparation, blending, and analysis, along with the automated delivery of insights to various applications and dashboards. By streamlining the collection and exploration of data, as well as enabling transformation and analysis, Savant Labs empowers analysts to independently leverage data assets and automate repetitive tasks. The platform also incorporates features for collaboration tracking and governance, thus supporting businesses in integrating analytics and automation to enhance their overall operations.

Meltano is an open-source DataOps platform that integrates various leading open-source tools for managing the data lifecycle. It incorporates the Singer standard for data integration, featuring a library of over 200 connectors, as well as tools like dbt for data transformation, Airflow for orchestration, and plans to include Superset for data visualization. Meltano aims to simplify the processes of configuration, deployment, and monitoring while allowing data teams to adopt practices such as version control and continuous integration/continuous deployment. The platform collaborates with a community of over 1,200 professionals from startups, global enterprises, and consultancies to advance data infrastructure. Thousands of active projects utilizing Meltano are presently in operation across various organizations, demonstrating its practical application and adaptability in the data management landscape.

Bodo.ai offers an extreme-performance parallel compute platform for data analytics. It scales past thousands of cores and petabytes of data, providing unprecedented efficiency and linear scaling. The platform leverages unique automatic parallelization and the first inferential compiler, enabling F500 customers to solve complex data analysis problems swiftly and cost-effectively using native Python. Bodo.ai is headquartered in San Francisco with offices in Pittsburgh.

Rendered.ai is a technology company that specializes in providing a Platform as a Service (PaaS) for generating synthetic datasets tailored for machine learning and artificial intelligence applications. Founded in 2019 and based in Bellevue, Washington, the company offers a cloud-based platform that enables data scientists, engineers, and developers to create and deploy customized synthetic data efficiently. This platform addresses challenges related to the use of real-world data, such as expense, bias, security, and privacy concerns. Rendered.ai enhances the data generation process by offering a collaborative environment, high-performance computing resources, and tools for characterizing and cataloging both synthetic and existing datasets. Its flexible subscription model allows clients to generate unlimited data for a fixed monthly fee, making it easier for organizations to meet their data needs for AI and machine learning projects.

Bodo.ai offers an extreme-performance parallel compute platform for data analytics. It scales past thousands of cores and petabytes of data, providing unprecedented efficiency and linear scaling. The platform leverages unique automatic parallelization and the first inferential compiler, enabling F500 customers to solve complex data analysis problems swiftly and cost-effectively using native Python. Bodo.ai is headquartered in San Francisco with offices in Pittsburgh.

Daloopa provides AI-powered document automation and data extraction to transform complex financial documents into an auditable database. The platform serves financial and data teams worldwide, helping institutions such as hedge funds, private equity firms, mutual funds, corporations, and investment banks quickly access fundamental data and accelerate investment research. By converting source documents into structured, queryable data, Daloopa supports earnings analyses, model building, and data discovery, reducing manual effort and speeding insights. The solution emphasizes tailoring responses to complex documents rather than generic templates, aiming to deliver comprehensive and precise data on publicly traded companies in record time. Through its AI-driven workflow, it automates high-volume, mission-critical tasks and clarifies investment research data, enabling better decision-making. The company positions itself as a flexible alternative to one-size-fits-all tools, focusing on transforming financial documents into an auditable database to streamline data management and analysis for financial institutions.