The shortest path to issue resolution
Data ingestion
Equipment AI's advanced data ingestion engine seamlessly transforms both structured and unstructured data, preparing it for sophisticated machine learning techniques.
Privacy stripping
Prioritizing data security, the AI strips Personally Identifiable Information (PII) during data ingestion, ensuring compliance and reinforcing user privacy.
Contextual tagging and labeling
An integral function during ingestion, every piece of data is tagged and labelled by the AI this consistent ontology is the foundation for fast, consistent and accurate results.
Dimension-agnostic query handling
Triage LLM allows users to pose queries from any dimension. Whether it's the model number, a problem description, or an image, the AI comprehends diverse queries seamlessly.
Dynamic decision trees
Generative decision trees rooted in historical incidents, guide users in the next best actions to identify root causes and effectively resolve equipment issues.
Adaptive prioritization
Generative prioritization of the most efficient order of operations to diagnose and resolve equipment issues, with constant learning and adaptation to real world inputs.