Description

Confident AI is an AI quality platform for engineers, QA teams, and product leaders to benchmark, test, and monitor AI systems using research-backed metrics. It supports LLM evaluation, observability, red teaming, and governance across the AI lifecycle.

The platform also includes open-source frameworks, DeepEval for LLM evaluation and DeepTeam for red teaming, along with docs, community resources, and product tools for production monitoring and quality control.

How we innovate

Confident AI stands out by combining evaluation, observability, red teaming, and governance in one platform, with open-source frameworks that extend its quality workflow.

Use Case / Scenario

1. LLM Evaluation

Benchmark LLM systems with research-backed metrics to assess quality and validate behavior before release.

2. LLM Observability

Trace, monitor, and alert on production LLM systems to inspect performance, latency, cost, and degradation over time.

3. AI Red Teaming and Governance

Stress-test LLM apps against adversarial attacks and enforce AI standards and controls across teams.

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