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Automate Building of Data Applications for Cloud Data Warehouses

  • Agentic AI driven design, dev, test & deployment of ETL/ELT pipelines.
  • Dramatically improve productivity of data engineering teams, reduce costs and shorten time to delivery.

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Agentic Design, Development, and Deployment

  • Automate end-to-end data engineering process for building pipelines including Databricks’ Medallion Architecture Bronze (raw data), Silver (cleansed data) and Gold (business-level aggregates) levels.
  • From English language requirements (in Jira) to production-ready code (Python, PySpark, SQL, Notebook).
  • Enterprise context from code repositories (Github) and catalogs.
  • Built-in automated quality testing.
  • Breakpoints for human developers to review and make changes.
  • Enterprise-grade data privacy protections.

Purgo AI Playground: Build your own Data Pipelines


Try the product in a sandbox environment integrated with trial instances of Jira, GitHub and Databricks.
Explore Purgo AI’s powerful capabilities starting with the Purgo AI Jira App and pre-built Jira tickets capturing business requirements. Purgo AI Agents automate the development workflow:

1. Requirements

Specify requirements as user stories in Jira.



2. Design

Generate design pseudo code (Gherkin) from requirements and enterprise context of GitHub and catalogs.


3. Test Data/Test Code

Generate datasets and test scripts from design prompt.


4. Develop Code

Generate code from design prompt and re-generate after applying tests.



5. Push to Production

Push to GitHub and Databricks.

Purgo AI Tutorial

ML Flow Notebook

Co-founder and CTO

Sang Kim

With over 25 years of experience, Sang Kim is a visionary engineering leader and hands-on innovator, driving the development of cutting-edge enterprise-grade applications for mission-critical operations. As a key leader at VMware and BlackBerry Enterprise, Sang has spearheaded advancements in Productivity Apps, Device Management, and Virtual Desktops. His current focus is on designing and scaling AI-native architectures to power next-generation enterprise solutions.

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