32 observability tools compared — reviews, pricing & social mentions
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The AI Security Platform that catches vulnerabilities in development. Trusted by 127 of the Fortune 500 and 300,000+ developers worldwide.
Dynamo AI offers end-to-end AI Performance, Security, and Compliance solutions for delivering Enterprise-grade Generative AI.
Traces, evals, prompt management and metrics to debug and improve your LLM application.
Arize Phoenix is an open-source LLM tracing & evaluation platform. Seamlessly instrument, experiment, and optimize AI applications in real time—tr
AI Gateway & LLM Observability
The Fiddler AI Control Plane provides enterprises with visibility, context, and control across the agentic lifecycle with observability, guardrails, a
Version, test, and monitor every prompt and agent with robust evals, tracing, and regression sets. Empower domain experts to collaborate in the visual
Kolena automates document-heavy workflows with AI — lease abstraction, due diligence, insurance processing, and more.
The experimentation and human annotation platform for AI teams.
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Patronus AI develops simulation research and infrastructure to accelerate progress toward human-aligned AGI
Humanloop is joining Anthropic to accelerate the adoption of AI, safely.
Unified LLM Observability and Agent Evaluation Platform for AI Applications—from development to production.
Traceloop turns evals and monitors into a continuous feedback loop - so every release gets better
Ensure your AI is production-ready. Test LLMs and monitor performance across AI applications, RAG systems, and multi-agent workflows. Built on open-so
Agenta is an open-source platform for building robust LLM Application. It provides tools for prompt engineering, evaluation, debugging, and monitoring
Cleanlab helps teams build safer AI agents by preventing incorrect responses from reaching users. Detect and remediate incorrect responses from any AI
Everest is the agentic AI platform for life science services—turn expertise into compliant workflows you can deploy internally or white-label into new
Ragas is an open source framework for testing and evaluating LLM applications. Ragas provides metrics , synthetic test data generation and workflows f
Turn production traces into evals, compare prompts and models, and improve quality with every release.
