Confident AI

Confident AI is an all-in-one LLM evaluation platform built by the creators of DeepEval. It offers 14+ metrics to run LLM experiments, manage datasets, monitor performance, and integrate human feedback to automatically improve LLM applications. It works with DeepEval, an open-source framework, and supports any use case. Engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications with best-in-class metrics and tracing. It provides an opinionated solution to curate datasets, align metrics, and automate LLM testing with tracing, helping teams save time, cut inference costs, and convince stakeholders of AI system improvements.

Key Features of Confident AI

• LLM Evaluation
• LLM Observability
• Regression Testing
• Component-Level Evaluation
• Dataset Management
• Prompt Management
• Tracing Observability

Use Cases for Confident AI

• Benchmark LLM systems to optimize prompts and models.
• Monitor, trace, and A/B test LLM applications in production.
• Mitigate LLM regressions by running unit tests in CI/CD pipelines.
• Evaluate and debug individual components of an LLM pipeline.