Paid tool

Confident AI

An LLM evaluation and observability platform built for benchmarking, monitoring, and testing AI applications.

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Intro

What is Confident AI?

Confident AI is an LLM evaluation and observability platform designed to help development teams test, benchmark, and safeguard LLM application performance. Developed in tandem with the open-source deepeval framework, the platform offers deep eval metrics and tracing capabilities to evaluate prompts, select models, and identify regressions. By incorporating evaluation methodologies such as LLM as a judge alongside standardized LLM benchmarks, Confident AI helps developers analyze LLM outputs, reduce manual review cycles, and manage datasets. It functions as a structured environment for managing evaluation datasets, monitoring production systems, and running regression tests.

Confident AI at a glance
Free, Starter from $29.99/mo102K monthly visitsPaid access
Pricing

Confident AI Pricing Plans

Compare Confident AI free options, Confident AI paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Starter from $29.99/mo

$0/month

For those exploring Confident AI. Includes 1 project, 5 test runs per week, and 1 week of data retention.

From $29.99 per user per month

For teams proving ROI with LLM products. Includes starting from 1 user seat, 1 project, 10k monitoring LLM responses/month, and 3 months of data retention.

From $79.99 per user per month

For teams shipping mission-critical LLM products. Includes starting from 1 user seat, 1 project, 50k monitored responses/month, 50k online eval metric runs/month, and 1 year of data retention.

Custom pricing

For high-scale, enhanced security, and compliance needs. Includes unlimited user seats, projects, guardrails, and 7 years of data retention.

Pricing updated:Jun 12, 2026

Features

Confident AI AI Features

Comprehensive LLM evaluation suite powered by DeepEval metricsRegression testing in CI/CD pipelines to monitor code changesLLM observability and tracing for debugging individual pipeline componentsCloud-based dataset editor and prompt managementProduction monitoring with real-time evaluation and human feedback integrationEnterprise-level compliance including SOC2, HIPAA, and On-Prem deployment options
Pros & Cons

Confident AI Pros and Cons

Pros

  • Integrates natively with the open-source DeepEval framework
  • Supports a wide range of LLM-as-a-judge and custom evaluation metrics
  • Provides detailed step-by-step tracing for debugging pipeline weaknesses
  • Meets high compliance standards suitable for regulated industries

Limitations

  • The free tier limits users to 5 test runs per week
  • On-premise deployment and custom evaluation models require higher-tier plans

Confident AI FAQ

Confident AI supports over 30 LLM-as-a-judge and heuristic metrics via deepeval. If you are determining which measurement should i use to measure accuraccy, you can explore specific deepeval metrics such as Answer Relevancy, Faithfulness, or establish custom LLM benchmarks tailored to your domain's specific accuracy requirements.