AI RESEARCH
GRAIL: AI translation for scientists application workflow on satellite data
arXiv CS.AI
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ArXi:2605.24784v1 Announce Type: new Domain scientists increasingly develop Python scripts to analyze satellite imagery but they lack scalability to large-scale data. This paper nstrates GRAIL, an agentic translation system that converts Python geospatial workflows into executable Spark-based programs without requiring scientists to learn a new framework. Rather than fine-tuning a specialized LLM model, GRAIL adapts RDPro, a Scala library for satellite data analysis, to make it LLM-ready using structured documentation, API alias functions, and repair-oriented error logs.