Granutools Has Released New GranuDrum Rheometer

The latest powder flow rheometer features integrated artificial intelligence for automated analysis of material data.

Updated on Oct. 6, 2026 in Robotics

Isometric editorial illustration of a cylindrical laboratory drum mechanism used for material analysis, rendered in muted teal and oxblood tones.
Granutools launched its new GranuDrum powder flow rheometer, which integrates automated AI-driven analysis to streamline material data diagnostics in research and industrial environments. AI Illustration. Upload story photo >

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Granutools has launched a next-generation GranuDrum powder flow rheometer designed to increase measurement speed and accuracy. The system incorporates the new Granulyzer AI to automate diagnostics and data interpretation for laboratory professionals.

Why it matters

This hardware redesign focuses on automating complex workflows to improve the reliability of powder characterization. By integrating AI-driven analysis, the system reduces the manual burden of processing material data in industrial and research settings.

The device captures imagery at 60 frames per second and supports rotation speeds between 0.1 and 250 rpm. It is compatible with ISO/ASTM TR 52952:2023 and ASTM D8648-25 standards.

The players

Granutools

This company specializes in the development of scientific instruments for powder characterization and flow analysis.

Granulyzer AI

This is a newly introduced artificial intelligence software platform designed for automated data interpretation and diagnostics.

The details

The instrument utilizes rotating drum technology to analyze powder behavior and features a High Temperature model capable of operating at up to 250 degrees Celsius. Its automated workflow includes a motorized door system and options for 165 milliliter drum cells.

Timeline

  1. Granutools displayed the new equipment in Nuremberg, Germany, from September 29 to October 1, 2026.

The Tech Race

The integration of AI into physical rheometry represents a shift toward software-defined laboratory hardware. This transition replaces manual diagnostic processes with automated systems to compete in the rapidly evolving additive manufacturing and pharmaceutical testing sectors.

Laboratory technicians can expect streamlined data management through automated workflow tools and standardized PDF or XLS export options. The new hardware design may reduce time spent on manual sample analysis while increasing compliance with international testing requirements.

The takeaway

Automated analytical tools are becoming essential for maintaining precision in high-temperature material science applications. Researchers should evaluate whether their existing powder characterization protocols can benefit from the integration of AI-driven diagnostic systems.

Further reading

Learn more about the latest innovations in Robotics.

Source note: This article includes information reported by AZoM.

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