The Top 10 model monitoring tools, based on market share and usefulness, include offerings from Datadog, LangChain, Weights & Biases and AWS. Model monitoring is the process of tracking, analysing and evaluating the performance and metrics of AI and ML models, as AI models can fail in ways such as hallucinations and edge cases. AI Magazine highlighted the Top 10 AI Monitoring Tools, looking at usefulness, adoption, innovativeness and market share. Langfuse, with CEO Marc Klingen and headquarters in Berlin, Germany, and California, US, was founded in 2023 and is an open-source AI engineering platform for LLM observability, covering tracing, evaluation, prompt management, cost tracking, dashboards and metrics such as latency, throughput and error rates. It was acquired by ClickHouse earlier this year. Evidently AI, with CEO Elena Samuylova and headquarters in California, US, was founded in 2020 and is an open-source collaborative AI observability platform, including tracing, storage, test dataset management and dashboards, with a Python library that runs evaluations with more than 100 metrics. NannyML, with CEO Hakim Elakhrass and headquarters in Leuven, Belgium, was founded in 2020 and is an open-source Python library and cloud platform for monitoring deployed ML models, focusing on performance estimation, data drift detection and root cause analysis. It was acquired by Soda in 2025 and is trusted by data scientists at