Evidently AI

Evidently AI is an open-source platform designed for AI observability and machine learning (ML) monitoring, built on the foundation of the trusted Evidently ML monitoring tool. It provides a robust set of tools for evaluating, testing, and monitoring AI-powered products from development through to production, making it an essential solution for businesses looking to ensure the quality and reliability of their AI systems.

Key Features

• Comprehensive Evaluation: Evidently offers over 100 readily available metrics for evaluating the quality of AI models. These metrics cover various aspects such as accuracy, safety, and guideline adherence. The platform also supports custom evaluations using specific prompts, models, and rules to tailor assessments to your needs.
• Production Monitoring: Evidently enables continuous monitoring of production data, allowing users to detect issues like model decay, data drift, and changes in feature distributions. This ensures that models remain effective and reliable over time.
• Early Warning System: The platform provides early warnings on potential issues, even without relying on labeled data. This feature helps prevent production problems before they escalate, maintaining the stability of AI systems.
• User-Friendly Interface: Evidently offers both a web interface and a programmatic API, catering to different user preferences. This flexibility ensures that both technical and non-technical team members can easily interact with the platform.
• Collaborative Platform: The platform is designed to foster collaboration between engineers, product managers, and domain experts. By encouraging a shared understanding of AI quality, Evidently helps teams work together more effectively to improve AI systems.
• Flexibility and Scalability: Evidently integrates seamlessly into existing environments and supports private cloud deployment, offering secure and scalable solutions tailored to organizational needs.

Benefits

• Visibility into AI Performance: Evidently provides detailed insights into your AI product’s performance both before and after deployment, allowing you to monitor and ensure the ongoing quality of your models.
• Proactive Issue Resolution: By identifying and addressing potential issues early, Evidently helps prevent problems from impacting users, thereby improving the reliability of your AI systems.
• Improved Operational Efficiency: Continuous monitoring and early warnings contribute to more reliable models and efficient operations, reducing the risk of downtime and costly errors.
• Informed Decision-Making: Evidently equips you with the data and insights needed to make informed decisions about your machine learning systems, ensuring that you can optimize and adapt as necessary.
• Collaborative Communication: Easily share evaluation results with your team to communicate progress, highlight successes, and demonstrate improvements, fostering a culture of transparency and collaboration.

Use Cases and Adoption

Evidently AI is trusted by numerous companies across various industries, including:

• Wise: Ensuring the accuracy and reliability of their financial AI models.
• Flo Health: Monitoring AI systems that support health and wellness applications.
• PlushCare: Maintaining high-quality AI in telehealth services.
• Western Governors University: Supporting AI in educational tools.
• Realtor.com: Enhancing AI-driven real estate solutions.
• Plaid: Safeguarding financial data through AI monitoring.

Evidently AI is a powerful platform for ensuring the quality, reliability, and effectiveness of AI systems. With its comprehensive evaluation metrics, continuous production monitoring, and early warning system, Evidently helps organizations maintain high standards for their AI products. Whether you are in finance, healthcare, education, or real estate, Evidently AI offers the tools and insights needed to make informed decisions and drive AI excellence.