Confident AI

Confident AI is a web-based AI quality platform for engineering, QA, and product teams building LLM applications such as RAG pipelines, chatbots, and agent workflows.

Key capabilities include:

• LLM evaluation (evals) for prompts, models, and parameters, including dataset management, regression suites, custom metrics (accuracy, safety, bias, and business-specific goals), and support for single-turn and multi-turn testing.
• Production observability with end-to-end tracing of LLM and tool calls (inputs/outputs, latency, token usage, and cost), plus dashboards and live alerting when quality degrades.
• Workflow and governance features such as collaboration, organization and project settings, and git-based prompt versioning with branching and merge gating based on eval results.
• Security and reliability testing via centralized red teaming workflows and assessment reporting, including support for RAG and agent behavior validation.

Pricing: Unknown (the website indicates a free start option and an Enterprise plan, but does not provide enough detail here to summarize).

Notable for layering a collaborative cloud platform on top of the open-source DeepEval framework, bridging local and CI evaluation with production monitoring, dataset curation from traces, and APIs for automating LLMOps pipelines.