•Automated Dataset Curation: Filters and deduplicates massive multi-terabyte datasets for LLM and vision model training.
•Training Compute Reduction: Reduces AI model training compute costs by selecting highest-quality data subsets.
•Data Quality Scoring: Evaluates data diversity, semantic value, and flags toxic or corrupted training samples.