Confident AI
All-in-one LLM evaluation platform for testing, benchmarking, and improving LLM application performance.
Free + from $29.99
Verdict
A quick read before you dig into the full page.
- Best if
- You are mL Engineers and need: Benchmark LLM systems to optimize prompts and models
- Skip if
- You need enterprise SLAs or a fully managed team plan right away
- Pick this when
- Freemium · Free + from $29.99
Overview
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.
Best for
Short scenarios where Confident AI tends to shine.
-
Benchmark LLM systems to optimize prompts and models.
Best for ML Engineers
-
Monitor, trace, and A/B test LLM applications in production.
Best for Data Scientists
-
Mitigate LLM regressions by running unit tests in CI/CD pipelines.
Best for AI Product Managers
-
Evaluate and debug individual components of an LLM pipeline.
Best for LLM Application Developers
Example outputs 1
Sample generations and before/after results for Confident AI.
Access & connections
Where you can use Confident AI.
Platforms
Capabilities
What this tool accepts, produces, and is strongest at.
Highlights
- LLM Evaluation
- LLM Observability
- Regression Testing
- Component-Level Evaluation
- Dataset Management
- Prompt Management
- Tracing Observability
People also view
Tools that often show up alongside Confident AI in collections and comparisons.
In the news
Launch coverage and community mentions for Confident AI.