Confident AI

About Confident AI

Confident AI is a comprehensive AI quality platform built by the creators of DeepEval, backed by Y Combinator. It enables engineers, QA teams, and product leaders to build reliable AI systems through best-in-class evaluation and observability tools. The platform provides an opinionated workflow to curate datasets, align metrics, automate LLM testing, and monitor production systems.

Teams use Confident AI to safeguard AI systems, reportedly saving hundreds of hours weekly on fixing breaking changes and cutting inference costs by up to 80%. The platform combines end to end evaluation, regression testing in CI/CD, component level tracing, dataset workflows, and prompt management in a unified interface.

Key capabilities include DeepEval integration for pytest style testing, LLM tracing for debugging, online and offline evaluations, human-in-the-loop feedback, and enterprise grade security with HIPAA and SOC2 compliance. The platform supports both development time testing and production monitoring with real-time performance alerting.

Key Features

• End-to-End Evaluation: Compare prompts and models using comprehensive evaluation suites with 30+ metrics.
• Regression Testing: Run LLM unit and regression tests in CI/CD to catch breaking changes before deployment.
• Tracing Observability: Debug and iterate by tracing LLM pipelines and evaluating individual components.
• Dataset Workflows: Create, annotate, and manage evaluation datasets in the cloud for repeatable testing.
• Prompt Management: Version, manage, and deploy prompts with full lifecycle tracking.
• Enterprise Security: HIPAA and SOC2 compliant with RBAC, data masking, and multi data residency options.