Best observability AI tools

Trainkore is a unified platform for developers to optimize LLM operations. It automates prompt generation, dynamically switches between AI models like GPT-4o and Gemini to reduce costs by up to 85%, and provides a comprehensive observability suite for performance monitoring and debugging. It simplifies integration and enhances AI application development.

Velvet is a developer gateway, now part of Arize AI, designed for analyzing, evaluating, and monitoring AI-powered features. It provides a comprehensive suite for AI observability, LLM tracing, and model performance management, helping developers build and perfect AI applications from development to production.

Incerto is an agentic AI co-pilot designed to solve all database problems. It proactively detects and resolves production issues, optimizes query performance, and automates complex database management tasks. By leveraging a rich context engine and specialized AI agents, Incerto significantly reduces manual work, minimizes downtime, and enhances overall database efficiency and security for developers and DBAs.

Dynatrace is an all-in-one, AI-powered observability and security platform. It provides intelligent automation and precise answers about the performance of applications, the underlying infrastructure, and the experience of all users, enabling organizations to innovate faster, collaborate more efficiently, and deliver better business outcomes.

Keywords AI is a comprehensive LLM observability and monitoring platform designed for AI startups and developers. It provides a unified API to deploy, test, monitor, and optimize LLM workflows, supporting over 200 models with a simple, two-line integration to help teams build and ship reliable AI features faster.

A developer-focused platform for creating tunable, fast, and cost-effective scoring and evaluation systems for AI applications. It transforms qualitative criteria into precise, quantitative metrics for model monitoring, ranking, and RAG optimization.

Basalt is an end-to-end platform for developers and product teams to build, evaluate, and monitor reliable AI agents. It provides a comprehensive suite of tools, including automated evaluations, A/B testing, prompt engineering with an AI co-pilot, and a developer-friendly SDK to ensure your AI features are trustworthy and production-ready.

FutureAGI is a comprehensive LLM observability and evaluation platform designed for enterprises and developers. It helps build, evaluate, and improve AI applications to achieve up to 99% accuracy, offering tools for synthetic data generation, no-code experimentation, multimodal evaluation, and real-time production monitoring.

Resolve.ai is an Agentic AI SRE platform that automates incident response and root cause analysis. It acts as a virtual team member on-call, investigating alerts, testing hypotheses, and identifying issues in minutes to reduce MTTR, decrease engineer burnout, and increase system uptime.

LangChain is a comprehensive framework and developer platform for building, deploying, and managing production-grade LLM applications. It provides a full suite of tools, including LangChain framework, LangGraph for agent orchestration, and LangSmith for observability, enabling developers to create sophisticated, reliable, and scalable AI agents.

Parity is an AI-powered Site Reliability Engineer (SRE) designed for incident response in Kubernetes environments. It automates investigations, performs rapid root cause analysis, and executes runbooks, allowing on-call teams to resolve issues faster and reduce operational workload.

fixa is an open-source observability platform designed specifically for AI voice agents. It helps developers monitor, debug, and improve their voice AI by tracking key metrics like latency, interruptions, and conversational correctness, ensuring a high-quality user experience.

Confident AI is an LLM evaluation and observability platform for engineering teams. Built by the creators of the open-source DeepEval library, it helps benchmark, safeguard, and improve LLM applications through comprehensive metrics, regression testing, and detailed tracing to ensure consistent AI performance.

Dagworks provides a suite of open-source developer tools, Hamilton and Burr, designed to build, debug, and observe reliable AI applications. Hamilton standardizes ML and data pipelines for faster iteration and clear lineage, while Burr simplifies the creation of complex, stateful RAG and agentic systems with built-in observability.

RagaAI is a comprehensive AI testing and observability platform designed to help developers and enterprises build reliable AI applications. It offers a suite of tools for observing, evaluating, and debugging AI agents, LLMs, and RAG systems. Key features include agentic testing, real-time guardrails, synthetic data generation, and fine-tuning capabilities. RagaAI supports multimodal data (LLMs, computer vision, tabular) and aims to automate the entire AI quality assurance lifecycle, from issue detection to resolution, ensuring robust and trustworthy AI deployments.

Treblle is an all-in-one API intelligence and management platform designed to help developers and businesses understand, monitor, and secure their APIs throughout the entire lifecycle. It provides real-time observability, automated documentation, advanced security analysis, and AI-powered insights to streamline API development, improve performance, and ensure robust governance.

Freeplay is an enterprise-ready platform designed for AI teams to build, test, and continuously improve AI products and agents. It unifies prompt management, experimentation, LLM observability, and data review into a single workflow, creating a powerful data flywheel for accelerating product quality and development speed.

Arize is an AI & Agent Engineering Platform designed for development, observability, and evaluation. It provides a unified solution for teams to build, monitor, debug, and improve LLM and ML models faster. By closing the loop between development and production, Arize helps ensure AI systems are reliable, trustworthy, and high-performing at scale.

Eyer is a headless AIOps and observability platform that uses AI to analyze time-series data from IT, OT, and business systems. It delivers smart, actionable alerts to reduce noise by up to 80%, enabling teams to proactively identify and resolve issues. It integrates seamlessly with existing tools like Grafana and Boomi.

Transluce is an independent research lab developing open, scalable technology to understand AI systems. They build tools like Docent and Monitor to analyze, evaluate, and intervene in AI agent behavior, promoting responsible AI development through enhanced interpretability and safety.

Langfuse is an open-source LLM engineering platform that provides comprehensive tools for debugging, evaluating, and improving LLM applications. It offers features like tracing, prompt management, evaluation frameworks, and metrics to streamline the entire development lifecycle for teams building with large language models.

ClickHouse is a high-performance, open-source, column-oriented OLAP database management system. It's designed for real-time analytics on large-scale data, enabling blazing-fast queries for observability, business intelligence, ML/GenAI, and more, while remaining resource-efficient and cost-effective.

Cekura is an AI-powered platform for testing and observability of conversational AI agents. It enables developers to automate the testing of voice and chat agents across thousands of scenarios, using various personas and real-world conditions to ensure reliability, prevent failures, and accelerate deployment.

getmaxim is a comprehensive GenAI evaluation and observability platform designed for AI development teams. It enables users to test, monitor, and improve AI applications by running extensive evaluations on LLMs and RAG pipelines, automating testing, and providing real-time production monitoring to ensure high-quality, reliable, and responsible AI.