Lumenore AI Agents
Natural language analytics, predictive insights, and automated dashboards - powered by Lumenore AI.
Lumenore is Trusted By 20,000+ Users Across
100+ Enterprise Teams
Meet The Agents
Natural Language
Querying Agent (NLQ Agent)
Uses Natural Language Queries (NLQ) to turn natural language questions into instant insights and charts. Example query: What is my sales and profit margin across regions and segments for 2025?
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Root Cause Analysis Agent
(RCA Agent)
Uses AI-driven analysis to identify why metric changes happen, helping teams troubleshoot faster. Example query: Why is the sales low in east region?
Visualization Agent
Allows you to update visualizations by changing chart types and colors through typing in the conversation bar as needed. Example query: Change chart color to green.
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Data Science Agent
Applies machine learning to uncover patterns, forecasts, trends, and anomalies. Ideal for advanced analytics. Example query: Forecast my sales for the next quarter
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Master Agent
Routing Agent which guides user queries to the appropriate agent (e.g., NLQ, RCA) to ensure accuracy and speed.
Why Lumenore AI Agents
Context-Aware by Design
Lumenore AI Agents don't just respond to prompts; they understand intent. A Master Agent evaluates each question and routes it to the most appropriate specialized agent (NLQ, RCA, Visualization, or Data Science), ensuring responses are accurate, relevant, and aligned with the business context.
Autonomous, but Goal-Guided
Users define the question or goal. AI Agents independently determine the best steps to answer it, whether that means querying data, analyzing anomalies, or generating visual insights, without rigid workflows.
Decision-Ready Outputs, Not Just Answers
AI Agents don't stop at surface-level results. They provide supporting metrics, visual context, and root-cause explanations so users can understand what happened, why it happened, and what to do next.
Enterprise Control Built In
AI Agents operate within defined rules and permissions. Role-based access, row-level security, governed data sources, and AI guardrails ensure users only see the data they're authorized to access, down to individual records, while still enabling security at scale.
From Raw Data to Actionable Insights: How Lumenore AI Agents Work
Modern Features and Capabilities
Ask in Plain Language Across Data and Documents
Ask questions in natural language and search across live databases and documents. No need to mention table names, schemas, or report locations in every query.
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Live Database Querying
AI Agents query data directly from source systems in real time with our RAG-based capabilities. There’s no data replication, no stale extracts, and no risk of working with outdated information.
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Contextual Explanations with Supporting Metrics
Every answer comes with the underlying numbers, trends, and logic, making decisions transparent.
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Data Science Driven Analysis
AI agents apply data science techniques in the background to continuously analyze data, identify signals, explain outcomes, and support decisions, without requiring users to be data scientists.
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Role-Based Access and AI Guardrails
Access controls, permissions, and governance policies are enforced automatically. Users only see what they’re authorized to see, with AI operating safely within enterprise rules.
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Explainable AI
AI answers are only useful if people can trust them. Lumenore AI Agents don’t just return results; they show the reasoning and sources behind every response.
