Funding
Funding not disclosed
Founders
Product
Problem
Data analysts and other stakeholders often struggle to efficiently extract insights from structured enterprise data, requiring them to write complex SQL queries or rely on data scientists. Existing business intelligence (BI) tools often require significant manual effort for reporting and ad-hoc analytics, limiting the speed and accessibility of data-driven decision-making.
Solution
Oxy is an open-source framework that enables users to build and deploy AI-powered data agents capable of reasoning about enterprise data. The framework allows users to ask questions in plain English and receive direct answers, eliminating the need for SQL expertise. By applying software development lifecycle principles to AI-driven data analytics, Oxy facilitates the creation, testing, and deployment of data agents, ensuring accuracy and reliability. The platform's declarative, code-native approach allows for the automation of reporting workflows and ad-hoc analytics, while its composable and secure architecture ensures data integrity and control.
Target Audience
Oxy is designed for data analysts, data scientists, and other stakeholders who need to extract insights from structured data, as well as businesses looking to embed intelligent data agents into their products.
Features
- Open-source framework built in Rust for performance and security
- Declarative design for simplified agent creation and management
- Universal Data Answer Engine for answering data questions in natural language
- Agentic workflows for automating end-to-end analytics tasks
- Semantic modeling of data to ensure accuracy and consistency
- Support for ad-hoc analytics, automated reporting, and embedded agents
- Integration with data warehouses and lakehouses like Snowflake, BigQuery, Databricks, and ClickHouse
- Compatibility with data transformation tools like DBT and Dataflow