Arize AI is a unified observability and evaluation platform designed for AI and ML teams. It helps accelerate the development and deployment of AI applications, ensuring they perform optimally in production.
Key Features:
- AI Observability: Provides end-to-end visibility into AI systems, tracing prompts, variables, tool calls, and agents.
- Continuous Evaluation: Automates AI evaluation at every stage, from development to production, with offline and online checks.
- Production Monitoring: Offers real-time AI monitoring with automated anomaly detection, failure simulation, and root cause analysis.
- Prompt & Evaluation IDE: An integrated environment for prompt engineering, evaluation building, and dataset curation.
- Annotations & Labeling: Facilitates the generation of high-quality labels and annotations to refine datasets.
- Embeddings Monitoring: Tracks embedding drift across NLP, computer vision, and multi-modal models.
- Exploratory Data Analysis: Uses AI-driven cluster search to uncover anomalies and curate datasets.
Use Cases:
- Debugging AI applications faster with automated observability.
- Ensuring reliability and performance of AI models in production.
- Improving model performance with better data through annotations and labeling.
- Monitoring and preventing model and feature drift.
- Evaluating and optimizing AI agents and LLMs.
