Purgo AI delivers LLM based agentic design, development and deployment of data applications over cloud data warehouses. Purgo AI provides a collaborative automation solution for data engineering teams that dramatically improves their productivity, reduces costs and shortens time to delivery.
Purgo AI automates the building of ETL/ELT pipelines and BI applications on cloud data warehouses. The product offers data engineering teams an end-to-end requirements-to-production design, development, test & deployment of ETL/ELT pipelines. Business analysts or product owners specify ETL/ELT user requirements as Jira tickets through Purgo AI’s Jira app. This triggers the generation of a design specification. The design creates test harnesses with test scripts and test data for QA. Purgo AI then generates source code from integrated code-generation LLMs by using the design specifications without needing any human prompting. For enterprise context the product integrates seamlessly with Github and GitLab (to interpret existing/legacy source code and pipelines), and data warehouse catalogs (for schema). The generated code is subject to pre-generated quality assurance tests, and test fails re-trigger generation of the source code. The final production-ready source code (Python, PySpark, SQL, Notebook) is ready for end deployment over the cloud data warehouse after review by the business analyst team.
Purgo AI integrates out-of-box with all leading cloud data warehouses including Databricks, Snowflake, Microsoft Fabric, Google BigQuery and AWS RedShift. Purgo AI is based in Palo Alto, CA and funded by The Hive and Capital One Growth Ventures.
