Confident AI - DeepEval LLM Evaluation Platform

Confident AI

3.5 | 289 | 0
Type:
Website
Last Updated:
2025/08/22
Description:
Confident AI: DeepEval LLM evaluation platform for testing, benchmarking, and improving LLM application performance.
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Overview of Confident AI

What is Confident AI?

Confident AI is a comprehensive LLM evaluation platform built by the creators of DeepEval, designed for engineering teams to benchmark, safeguard, and improve their LLM applications. It offers best-in-class metrics and tracing capabilities, enabling teams to build AI systems with confidence.

Key Features:

  • End-to-End Evaluation: Measure the performance of prompts and models effectively.
  • Regression Testing: Mitigate LLM regressions through unit tests in CI/CD pipelines.
  • Component-Level Evaluation: Evaluate individual components to identify weaknesses in your LLM pipeline.
  • DeepEval Integration: Seamlessly integrate evaluations with intuitive product analytic dashboards.
  • Enterprise-Level Security: HIPAA, SOCII compliant with multi-data residency options.

How to Use Confident AI?

  1. Install DeepEval: Install DeepEval into your framework.
  2. Choose Metrics: Select from 30+ LLM-as-a-judge metrics.
  3. Plug It In: Decorate your LLM application to apply metrics in code.
  4. Run an Evaluation: Generate test reports to catch regressions and debug with traces.

Why is Confident AI important?

Confident AI helps teams save time on fixing breaking changes, cut inference costs, and ensure AI systems are consistently improving. It is trusted by top companies worldwide and backed by Y Combinator.

Where can I use Confident AI?

You can use Confident AI in various scenarios, including but not limited to:

  • LLM application development
  • AI system testing and validation
  • Regression testing in CI/CD pipelines
  • Component-level analysis and debugging

Best way to get started?

Start by requesting a demo or trying the free version to experience the platform's capabilities firsthand. Explore the documentation and quickstart guides for more detailed instructions.

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