Confident AI

Confident AI is an LLM evaluation and observability platform built by the creators of DeepEval, an open-source LLM evaluation framework. It enables engineers, QA teams, and product leaders to build reliable AI by providing tools to benchmark, monitor, and debug LLM systems. The platform helps users curate datasets, align metrics, and automate LLM testing with tracing, aiming to safeguard AI systems, reduce inference costs, and ensure continuous improvement. The platform offers end-to-end evaluation to measure prompt and model performance, regression testing to mitigate breaking changes in CI/CD pipelines, and component-level evaluation for dissecting and debugging LLM pipelines. For observability, it provides real-time monitoring, A/B testing capabilities for LLM applications, flexible tracing for debugging, and tools to collect user feedback to identify unsatisfactory interactions. Confident AI integrates with DeepEval, allowing for easy evaluation setup and providing intuitive product analytic dashboards for both technical and non-technical team members. Confident AI is designed for teams looking to ensure the quality, reliability, and performance of their LLM applications in production. It helps prevent regressions, optimize models and prompts, and gain deep insights into LLM behavior, ultimately saving development time and improving user experience.