Industrial
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Provides advanced search, contextual analysis, and investigative capabilities for enterprise OT/IT data. Using IRIS Foundry’s semantic layer and connectors, the agent helps engineers and analysts explore large, siloed datasets to discover root causes, detect anomalies, and surface actionable insights.
Navigate complex industrial datasets with natural language queries. Find relevant information quickly using AI-powered search across operational data sources.
Smart search
Query multiple data sources using plain language questions.
Pattern detection
Identify trends and anomalies across time-series data.
Visual exploration
Navigate data relationships through interactive visualizations.
Speed up incident analysis with AI-guided investigation tools. Trace problems to their source using automated correlation analysis.
Event correlation
Link related events across systems and timeframes.
Impact analysis
Understand the full scope of operational disruptions.
Solution validation
Verify effectiveness of corrective actions.
Capture and organize operational insights for future reference. Transform individual expertise into searchable organizational knowledge.
Experience capture
Document findings and solutions from investigations.
Smart retrieval
Find relevant past cases using similarity matching.
Learning system
Improve recommendations based on solution outcomes.
Manage complex investigations from initiation to resolution. Coordinate team efforts and document findings systematically.
Workflow automation
Guide investigations through structured processes.
Team collaboration
Coordinate multiple stakeholders efficiently.
Progress tracking
Monitor investigation status and outcomes.
SymphonyAI’s IRIS Foundry turns that vision into reality. Across core industrial processes—from precision machining to cleaning validation and refinery optimization—IRIS Foundry delivers actionable insights, rapid deployment, and tangible business results. In this ebook, we explore how intelligent applications built on IRIS Foundry are transforming plant operations.