Parea AI is a platform for experimentation, evaluation, and human labeling built for teams working with LLMs and other AI systems. It supports data-driven decisions with metrics, testing, and structured feedback so you can move AI features into production more safely.
Experiments and quality evaluation
Parea AI helps you create domain-specific metrics and automated tests (evals), track experiments, and compare model versions.
- Build and run evals tailored to your product scenarios
- Compare model versions and spot regressions
- Answer questions like what got worse after a change or whether a new model improves key flows
Observability and logs
The platform provides visibility into how your AI system behaves in real usage.
- Collect and review logs of model inputs and outputs
- Analyze responses to find errors and unstable cases
- Debug pipelines and improve reliability over time
Human labeling and feedback
Parea AI includes human-in-the-loop tools to turn raw model outputs into structured data.
- Collect feedback from end users, experts, and internal teams
- Annotate and label logs
- Use comments and labels to guide quality improvements and training
