Introducing the All-New BeanGo Cube XPRO 2.0 App 

Your AI Roasting Coach for a New Era of Coffee Roasting

New to Roasting? Let AI Show You What to Adjust Next

XPRO 2.0 transforms the roast curves and data from every batch into information that is easier for AI toanalyze. Users can work with AI tools such as ChatGPT, Gemini, and Claude to gain actionable insightsinto heat, airflow, roast curves, and flavor development.

At this year's coffee show, BeanGo Cube officially unveils BeanGo Cube XPRO 2.0, its all-new coffee roasting software that takes smart roasting beyond automation and into AI-assisted learning. With an optimized roasting data format, AI can do more than simply read the numbers—it can help users understand what happened during each roast and identify what to adjust in the next one.

Turn Every Roast into Direction for the Next

Every roast becomes a learning opportunity for the next.

• 01｜Enter Green Coffee Information & Roasting Goals
  Start with the characteristics of your green coffee and the flavor profile you want to achieve.
• 02｜Develop Your Roasting Plan with AI
  Based on your green coffee information and roasting goals, use AI to develop a roasting strategy and identify key adjustment points.
• 03｜Roast Automatically or Adjust in Real Time
  Roast with BeanGo Cube while capturing complete roasting data throughout the process.
• 04｜Let AI Analyze Your Roasting Data
  Use AI tools such as ChatGPT, Gemini, and Claude to analyze the actual results of your roast.
• 05｜Discover What to Adjust Next
  Gain direction for your next roast—from heat and airflow adjustments to roast curve refinement and flavor optimization.

Go Beyond Copying Roast Curves—Learn to Create the Flavor You Want

Before, We Copied Roast Curves. Now, We Begin to Understand Them

Different origins, varieties, processing methods, and roasting goals may all require different strategies. With XPRO 2.0, the goal is to move beyond simply asking, "What settings should I use?" and gradually build a deeper understanding of how heat, airflow, time, and flavor interact.

The core purpose of BeanGo Cube XPRO 2.0 is not to have AI replace the roaster. Instead, it uses more complete roasting data to help users understand why certain adjustments are made. When the result differs from the intended flavor profile, users can combine roasting data with cupping results and use AI to explore possible causes and identify potential adjustments in heat, airflow, roast curve development, and flavor optimization.

From "following someone else's roast curve" to "understanding why you make each adjustment."

Technology is not here to replace human judgment. It is here to make learning coffee roasting more informed, more systematic, and more effective.