Product overview
What is Confident AI?
Confident AI is an AI quality platform for engineering, quality assurance, and product teams working on LLM applications. It gives an organization a shared place to define evaluation standards, inspect production behavior, test vulnerabilities, and apply governance controls across multiple AI products. The platform is built by the creators of the open-source DeepEval evaluation framework.
Production LLM calls are captured as traces with inputs, outputs, tool calls, latency, token cost, and metadata. Teams can turn those traces into evaluation datasets, monitor quality over time, receive alerts when behavior degrades, and use evaluation results as release gates. Confident AI also supports multi-turn chat simulations and red-team assessments for agentic and LLM security risks.
How to Use Confident AI
- Install an SDK or connect a supported integration to the LLM application.
- Ingest traces or create datasets for the behavior being evaluated.
- Define metrics, quality thresholds, simulations, or risk assessments.
- Run evaluations during development or as part of a CI pipeline.
- Monitor production traces and respond to quality or security alerts.
Core Features
- LLM evaluation: Tests AI outputs with shared metrics and evaluation datasets.
- Production observability: Traces LLM and tool calls, latency, token usage, cost, and metadata.
- Dataset curation: Converts production failures and edge cases into evaluation data.
- Chat simulation: Generates multi-turn conversations for pre-release behavior testing.
- AI red teaming: Tests applications against prompt injection, tool misuse, data leakage, and other risks.
- AI governance: Applies common standards, permissions, controls, and release gates across teams.
Use Cases
- Regression testing: Block releases when model or prompt quality falls below defined thresholds.
- Agent monitoring: Inspect tool calls and behavior in production agent traces.
- Security assessment: Stress-test an LLM application before it reaches users.
- Cross-team governance: Give product, QA, and engineering a consistent quality standard.
Frequently Asked Questions
How is Confident AI related to DeepEval?
DeepEval is the open-source framework for local and CI evaluation; Confident AI adds a collaborative platform for datasets, tracing, monitoring, and dashboards.
Can Confident AI be self-hosted?
Yes. The Enterprise plan supports deployment in a private cloud or on-premises environment.
Can it run in CI/CD?
Yes. DeepEval can run regression checks on pull requests and fail a build when quality drops below a configured threshold.
