Parea

Parea AI is an experimentation and human annotation platform for AI teams, enabling test, evaluation, observability, and feedback to help ship LLM apps to production. It combines experiment tracking, logs, human review, and deployment workflows to improve model performance and reliability.

Parea provides tools to test and evaluate AI systems, collect human feedback from end users and experts, annotate and label logs for QA and fine-tuning, deploy prompts, and observe production vs. staging data. It supports features such as auto-creating domain-specific evals, observability with cost/latency/quality tracking, datasets that integrate production logs for fine-tuning, a prompt playground, and SDKs across Python and JavaScript to trace LLM calls and run experiments. Pricing tiers include a free Builder plan and paid teams with defined logs, prompts, data retention, and enterprise options with SSO and on-premises support.

Who it’s for: AI teams building production-ready LLM applications, including engineering, ML, product, and operations teams within organizations that need experimentation, annotation, and observability.

Pricing pages and multiple plan tiers; active product features including SDK integrations and on-prem/enterprise options; community and support channels mentioned.