Confident AI

What is Confident AI?

Confident AI is an evaluation and observability platform for LLM applications, built by the creators of DeepEval. It provides a shared workspace where engineering, product, QA, and domain experts can trace production calls, run evaluations, and manage datasets. The platform is available as a managed cloud service or as a self-hosted deployment on the Enterprise plan.

What are the features of Confident AI?

• Production tracing

  Captures every LLM call with inputs, outputs, tool calls, latency, token cost, and metadata for inspection and alerting.
• Evaluation metrics

  Benchmarks LLM systems using research-backed metrics such as faithfulness, relevancy, hallucination, tool correctness, PII leakage, and bias.
• Annotation workflow

  Allows subject-matter experts to review traces, leave structured feedback, and convert failing responses into test cases without spreadsheets.
• Prompt versioning

  Manages prompts with a git-based branching workflow synced to a codebase, enforcing merge permissions gated by evaluation results.
• Chat simulations

  Simulates thousands of multi-turn conversations to test agent behavior before release.
• AI red teaming

  Runs adversarial probes against LLM applications to assess risks like goal hijacking and sensitive data leaks, generating PDF assessment reports.

What are the use cases of Confident AI?

• CI/CD regression testing

  Engineers integrate DeepEval into pipelines to run evaluations on pull requests, failing builds if quality drops below defined thresholds.
• Converting production failures into tests

  Teams flag bad responses in traces to automatically create metrics that check every subsequent release for the same issue.
• Regulatory risk assessment

  Organizations in regulated industries run centralized red teaming workflows and share PDF-ready risk reports with stakeholders.

Confident AI Pricing Information:

• Free access

  Available to sign up and try; specific feature quotas are not stated.
• Enterprise plan

  Requires contacting sales; includes self-hosted deployment, SSO, RBAC, project isolation, data masking, multi-region residency, and a 99.9% uptime SLA.