DIFARYX is an evidence-grounded AI agent platform for scientific research workflows. It helps researchers move from raw experimental files to interpretable signals, project-level insight, and structured reports without jumping across fragmented tools. The system begins in a workspace where uploaded files are converted into inspectable scientific evidence. Researchers can review processing parameters, adjust settings, reprocess results, and compare how those changes affect the final interpretation. The AI Agent then acts as a reasoning layer over the project evidence. Researchers can ask natural-language questions such as what the result suggests, where anomalies appear, or how different evidence should be interpreted together. Unlike a generic chatbot, DIFARYX prioritizes project-specific data as its context, making responses more grounded, traceable, and useful for real research decisions. Results can then be captured in Notebook Lab and converted into reports for review, collaboration, and decision records. The goal is to make scientific data workflows faster, more transparent, and more enterprise-ready.
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