Actionable Insights by AI and Generative AI Asset Health Platform
Data Contextualization
Create knowledge graphs for assets based on structured data, unstructured data and domain experts.
Contextualize data using ML and rules.- Develop a knowledge graph linking time series and maintenance data.
- Standardize asset health data for clarity and ease of use.
Foundation Models for Assets
Trained on asset data using a knowledge graph, improving precision and reducing hallucinations.
- Trained on diverse data sources for comprehensive asset understanding.
- Uses a knowledge graph for deep insights into asset behavior and anomalies.
- Builds precise anomaly detection models with minimal false results.
- Achieves superior asset analysis through focused data and relationships.
Multi-modal Agents supporting Asset Health
Multi-modal agents are designed to support Asset Health by assisting in various workflows, leveraging diverse data inputs to ensure comprehensive support.
- Manage multi-modal data (visual, sound, text, time-series, real-time).
- Create no-code workflows for specific goals.
- Integrate seamlessly with existing operations for efficiency.
- Guide staff through troubleshooting for swift issue resolution.
Integrates with your CMMS/EAM Systems
Our solution integrates with your CMMS and other systems to get access to asset information and associated components and workflows.
- Connects with industrial CMMS systems for synchronized asset information.
- Integrates with spare parts inventory management and Documentum systems.
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