Evidently AIOpen-source evaluations and observability for LLM apps

Evidently AI - AI Observability and ML Monitoring Platform

Introduction

Evidently AI is a comprehensive AI observability and ML monitoring platform designed to evaluate, test, and monitor AI-powered products. Built on a trusted open-source ML monitoring tool, Evidently offers transparency and extensibility with over 100 metrics.

Key Features

• LLM Observability: Gain visibility into AI applications, including chatbots and AI assistants.
• ML Observability: Monitor data drift, data quality, and performance for production ML models.
• Open-source: Access an open-source Python library with over 20 million downloads.
• Customizable Dashboards: Create and share performance dashboards.
• Continuous Testing: Evaluate outputs for accuracy, safety, and quality.
• In-depth Debugging: Drill down to understand individual errors and improve applications.
• Data Quality Monitoring: Profile and visualize datasets to spot issues.
• Model Performance Tracking: Track quality for various ML tasks with rich visuals.

Use Cases

• LLM-powered Products: Evaluate and monitor AI assistants and RAGs.
• Predictive ML: Monitor classification, regression, ranking, and recommendation models.
• Data Pipelines: Ensure data quality and detect anomalies in production pipelines.
• Enterprise AI: Adopt AI safely with private cloud deployment and role-based access control.

Pricing

Evidently AI offers flexible pricing plans tailored to different needs. Start with a free 30-day trial to explore the platform's capabilities. For detailed pricing information, contact our sales team or visit our pricing page.

Teams

Evidently AI is built for collaboration, enabling engineers, product managers, and domain experts to work together on AI quality. The platform supports both UI and API interactions, making it easy to share evaluation results and communicate progress. With an open architecture, Evidently fits seamlessly into existing environments, ensuring safe and secure AI adoption.