ReadyAI provides a low-cost structured data pipeline transforming raw data into tagged, semantic data for vector databases and AI applications. The fractal data mining approach enables miners to process diverse data sources while validators establish ground truth through full tagging. Scoring uses cosine distance between miner outputs and validator ground truth, leveraging LLMs that are now cheaper and more accurate than human annotators.
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Yuma Pulse™
Data Structuring Pipeline
Transform raw unstructured data into AI-ready tagged, semantic data for vector databases and AI apps
Fractal Mining Architecture
Validators create data windows for miners to process, enabling parallel work on diverse data sources
LLM-Powered Annotation
Leverages LLMs now more accurate and cost-effective than human annotators for data labeling at scale
Cosine Similarity Scoring
Miners scored on cosine distance between their semantic tags and validator-established ground truth