RagaAI Catalyst
An AI agent observability and evaluation platform that helps teams trace, debug, and optimize agentic AI systems and LLM workflows in production.
RagaAI Catalyst is a comprehensive platform for observing, evaluating, and debugging AI agent systems and large language model workflows. Delivered as a Python SDK with a cloud-hosted dashboard, it provides full production observability with real-time monitoring, multi-agent debugging, detailed execution timelines, graph-based visualizations, and 50+ custom metrics. The platform evaluates every step of agentic workflows including planning quality, memory retention, tool integration, goal fulfillment, and safety checks. It features automated guardrail management, synthetic data generation, prompt management, and cost/token tracking for each component.
Use cases
Debugging and root-cause analysis of multi-agent system failures in production
Evaluating LLM agent planning, tool use, and memory quality
Real-time cost and performance monitoring of agentic AI workflows
Automated guardrail enforcement and compliance checks
Integrations
NVIDIA NeMo Agent Toolkit
Microsoft Azure Marketplace
OpenAI
LiteLLM
Expected outcomes
90% reduction in AI production risks through automated issue detection
Faster debugging cycles via execution graph visualization
Reduced LLM operational costs through token usage optimization
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Company
Raga AI
Milpitas, California, USA (R&D in Bengaluru, India)
Founded 2022
Primary Verticals
Healthcare & Life SciencesAerospace & DefenseFinancial Services (BFSI)
Functions
Engineering & DevOpsIT OperationsData & Analytics
Industries
Healthcare & Life SciencesFinancial Services (BFSI)Aerospace & Defense
4
Integrations
4
Use cases
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