Oxygen provides a full-stack, agent-native data platform designed for Agentic Data Analytics across operational and commercial data. The platform integrates a Large Analytics Model, Context Graph, and Answer Engine to enable natural language querying and self-service analytics. It powers agentic workflows and applications to automate complex procedures and deliver measurable business outcomes.
Funding
Funding not disclosed
Founders
Product
Problem
Data analysts and business users often need to rely on technical staff to write SQL or Python code to extract insights from enterprise data, which limits productivity and slows down data-driven decision-making. Traditional business intelligence (BI) tools require significant manual effort to synthesize information and automate complex reporting workflows.
Solution
Oxy provides an open-source framework for building AI-powered data agents that enable users to analyze enterprise data using natural language. The platform allows users to build, test, and deploy data agents that can reason about data and provide direct answers to complex questions, eliminating the need for specialized technical skills. Oxy's declarative framework, built in Rust, facilitates the semantic modeling of data and ensures the accuracy of data agents, while its workflow capabilities automate reporting and ad-hoc analytics. By embedding data agents into products, businesses can also empower their customers to self-serve data questions in plain English.
Target Audience
Oxy is designed for data analysts, business users, and data scientists who want to leverage AI to gain faster, more accurate insights from enterprise data, as well as businesses looking to embed intelligent data agents into their products.
Features
- Open-source framework built in Rust for performant and secure agentic data analytics
- Declarative approach for building and testing data agents
- Semantic data modeling to ensure accuracy and reliability of insights
- Workflow automation for complex reporting and ad-hoc analytics
- Embeddable data agents for customer self-service
- Natural language interface for querying data
- Compatibility with various data warehouses and lakehouses, including Snowflake, BigQuery, Databricks, and ClickHouse
- Integration with data transformation tools like Dbt and Dataflow