Agentic AI
Turn on AI automation on top of all your siloed infrastructure data and monitoring tools. Unryo leverages Large Language Models (LLMs) and AI agents to enhance your operations.
Select your LLM
Unryo supports multiple cloud-based LLMs. You can also redirect it to your own LLM.
Automated AI Workflow
AI agents detect issues, and provide recommendations and remediation actions.
Prompt Interface
Ask questions like, “Why is my network latency high?” It responds with clear insights, explaining root causes and analysis steps.
Agentic Framework
Challenges
Siloed data and disparate tools complicate correlation and LLM integration. Without a unified topology, LLMs face high API costs and lack context for accurate analysis.
Value Proposition
Unryo combines its unified topology engine with LLMs, ensuring the AI agent starts with real-time, context-rich insights for accurate analysis and decision-making.
Multi-LLM Support & Tool Integration
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Select your LLM: Supports multiple LLM providers and models out-of-the-box.
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Topology Dependencies: AI agent uses the topology as a starting point for the analysis, instantly understanding context and dependencies.
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Tool Integration: The agent dynamically queries relevant data sources (logs, metrics, events) for in-depth analysis.
Contextual Correlation Across Silos
Agentic AI understands complex dependencies, correlating data across cloud, network, storage, and applications. Live topology maps provide real-time visibility, and root cause analysis tracks impact across your infrastructure.
Root-Cause Analysis
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Iterative Root Cause Analysis: Agents chain API calls to sources like Prometheus, Metric Databases, Logs, ServiceNow, or internal CMDBs to test hypotheses.
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Natural Language Interaction and Explanations: With Agentic AI, you can ask questions like, “Why is my app slow?” It responds with clear, traceable answers, explaining root causes and analysis steps.