LLM Observability 3

LLM observability and evaluation platform for monitoring, evaluating, and optimizing LLM applications. LangWatch is an LLM observability and evaluation platform designed to help AI teams monitor, evaluate, and optimize their LLM-powered applications. It provides full visibility into prompts, variables, tool calls, and agents across major AI frameworks, enabling faster debugging and smarter insights. LangWatch supports both offline and online checks with LLM-as-a-Judge and code-based tests, allowing users to scale evaluations in production and maintain performance. It also offers real-time monitoring with automated anomaly detection, smart alerting, and root cause analysis, along with features for annotations, labeling, and experimentations.

AI observability and evaluation platform for AI applications from development to production. Arize AI offers a unified LLM Observability and Agent Evaluation Platform for AI applications, from development to production. It provides tools for Generative AI, ML & Computer Vision, and Open Source LLM Tracing & Evals. Arize AX helps accelerate AI app and agent development and perfect them in production. It integrates development and production to enable a data-driven iteration cycle, using real production data to power better development and aligning production observability with trusted evaluations.

AI Ops & QA platform for voice agents, ensuring reliability and identifying mistakes. Elixir is an AI Ops & QA platform designed for multimodal, audio-first experiences. It helps ensure the reliability of voice agents by simulating realistic test calls, automatically analyzing conversations, and identifying mistakes. The platform provides debugging tools with audio snippets, call transcripts, and LLM traces, all in one place.