Best anomaly detection tools in 2025

Honeycomb

Unified observability data for application performance analysis.

Anomify

Real-time anomaly detection for operational reliability and performance.

Outlier Database

Easily analyze and visualize data trends and patterns.

anomalo.com

Automated data quality monitoring for reliable insights.

Algorithmia

Automated machine learning for data-driven decision-making.

DataGPT

Conversational data analysis for better decision-making.

Qdrant.io

Open-source vector database for efficient similarity searches.

DataRobot

Automated machine learning for smarter business decisions.

Arize

Real-time AI model monitoring and evaluation solution.

Qdrant

A vector database for fast and efficient similarity search.

AIDE by Weco

Automates and enhances machine learning processes for teams.

Exllama

Memory-efficient model for AI applications with quantized weights.

Banana

Efficient GPU resource management for AI model deployment.

Cerebrium

Serverless infrastructure for rapid AI application development.

Cortex Labs

Decentralized AI execution on the blockchain for developers.

Salad

Distributed GPU cloud for efficient AI computing.

Watson Machine Learning

Collaborative environment for building and optimizing AI models.

IBM Watson Assistant

AI-powered system for data analysis and customer engagement.

Parea

Manage and enhance the performance of large language models.

Ango Hub

Automated data workflow solution for efficient AI training.

Cols.ai

Custom AI models tailored for unique business data needs.

Humanloop

Collaborative environment for evaluating large language models.

CloudFactory

Intelligent AI data management for effective model deployment.

Dataloop

Streamlined solution for data management and AI model development.

Modelbit

Infrastructure-as-code for deploying machine learning models.