Expertise
Internal Product Development, AI Prompt Engineering, UI/UX,
System Design, OpenAI Integration, Jira Integration
Making AI Agents Work for Data Teams
Data is the fuel of modern enterprises, but transforming raw data into valuable insights is a time-consuming, manual process. Purgo is reshaping this reality by automating data engineering pipelines with AI agent technology, reducing development times from over 10 days to just 15 minutes, while ensuring enterprise-grade code quality.
Purgo’s vision is to specialize in one of the most demanding and promising spaces in AI: data engineering. Their platform enables companies to build, validate, and deploy production-ready data pipelines in minutes, processes that previously took entire teams days or even weeks.
But to bring this vision to life, they needed more than an engine. They needed a fully functional product experience to support, deliver, and integrate these AI capabilities. That’s where Koombea came in.
The Challenge: From Proof of Concept to Production-Ready Platform
Purgo originated from the acquisition of a previous solution, one that had the foundations for analyzing code with AI. Sang Kim, now CEO at Purgo, saw an opportunity to build a broader, scalable product that leveraged multi-agent AI to automate tasks typically handled by data engineers.
The product vision was ambitious: allow users to enter a requirement into Jira and get back AI-generated production-ready code that adheres to business logic, enterprise rules, and QA standards. However, the original infrastructure needed to be expanded, validated, and reimagined to support a fully functional SaaS platform.
That’s when Sang decided to continue working with Koombea, impressed with the team’s professionalism, structure, and ability to contribute across all fronts, from design and architecture to implementation and testing.
Acquisition
Proof of Concept
Koombea Integration Begins
Jira + GitHub Integration
QA + Dashboard Launch
Live Product
Acquisition
Proof of Concept
Koombea Integration Begins
Jira + GitHub Integration
QA + Dashboard Launch
Live Product
Partnering with Koombea: Building the Product Around Intelligent Automation
Koombea has played a pivotal role in Purgo's success, ensuring the AI system was not only functional but fully integrated into a user-ready platform.
This included:
- Designing and developing the web application, console, and dashboard that support the AI’s functionality.
- Facilitating Jira integration, enabling users to submit development tasks and retrieve AI-generated code tailored to each case.
- Building out GitHub integration to document and store outputs automatically.
- Implementing a robust QA and testing pipeline to validate not just the user interface, but also the functionality of intelligent workflows.
- Supporting documentation, UI/UX improvements, and marketing site materials to launch the product professionally and efficiently.
“From design to console and testing the overall system, Koombea has helped with almost every aspect of getting the platform off the ground.”
Sang Kim
CEO at Purgo AI
How It Works: AI-Powered Code Generation in Motion
User in Jira
Writes requirement or ticket
Purgo Platform
(Console & Dashboard)
AI Agents process the request and generate production-ready code
QA validation
GitHub integration
Code is reviewed, documented, and deployed
User in Jira
Writes requirement or ticket
Purgo Platform
(Console & Dashboard)
AI Agents process the request and generate production-ready code
QA validation
GitHub integration
Code is reviewed, documented, and deployed
Koombea ensured Purgo’s AI-powered solution had the infrastructure, interface, and user experience needed to deliver real value.
Overcoming Technical and Organizational Challenges
Purgo’s architecture required tight coordination across teams and platforms. Koombea collaborated across time zones, aligned backend systems, and managed data flows to ensure optimal performance.
Additionally, Sang highlighted Koombea’s strength in organization and onboarding. Even as the team scaled or changed, new resources quickly adapted thanks to strong processes and documentation practices:
“Even the new onboarded resources have been very spot on regarding being part of the Koombea team.”
Impact: From Extensive Manual Coding to Minutes-Long Pipelines
With Koombea’s support, Purgo turned into a working platform that:
- Allows users to input requirements directly in Jira and receive production-ready code.
- Accelerates pipeline creation from 10+ days to less than 15 minutes.
- Facilitates code validation, documentation, and deployment without manual bottlenecks.
- Enables intelligent solutions that are more maintainable, standardized, and easier to debug than traditional methods.
Purgo demonstrates the real-world impact of applying AI to data engineering, and Koombea helped in making that impact tangible.
Looking Ahead: A Data-Centric AI Future
Purgo’s vision is to become the leading AI agent platform for data engineering. As they expand their capabilities and scale their solution, Koombea remains a trusted partner in helping them realize their ambitions.
“From product owners to QA to frontend, the Koombea team has been professional, compatible, and culturally aligned. I look forward to working with them again.”
Bring Your AI Vision to Life
As Purgo's case shows, bold AI initiatives require more than intelligent algorithms. They also need robust digital products, clean architecture, and a seamless user experience.
If you’re building an AI-powered product and need a team that understands the technology and how to deliver it, Koombea is ready to help.
Our team doesn't just solve problems; we become your partners, offering guidance and expertise to turn your vision into reality. No matter your budget or challenges, we work with you every step of the way to create an app that meets your goals and exceeds expectations.