Parea AI
parea.ai
What it is
Parea AI is a platform for experiment tracking, observability, and human annotation for teams building LLM applications for production. Evaluation tools test and track performance, help debug failures, and compare changes to samples or models. Teams can collect feedback from end users, subject matter experts, and product teams, then comment on, annotate, and label logs for Q&A and fine-tuning. The Prompt Playground lets users test prompts on samples or large datasets and deploy them to production. Parea can log staging and production data, run online evaluations, capture user feedback, and track cost, latency, and quality. Logs can also become test datasets and support fine-tuning. Listed SDKs are for Python and JavaScript/TypeScript; integrations include OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev. Deployment options include the web and self-hosting, with on-premise deployment through Docker documented. The Free plan is free and limits teams to two members, 3k logs per month with one-month retention, and 10 deployed prompts. Team costs $150 a month; Enterprise pricing is custom.
Spec sheet
- Product
- Parea describes itself as a platform for experiment tracking, observability, and human annotation to help teams ship LLM applications to production.Read 2 Oct 2026 · parea.ai
- Intended users
- Parea's homepage describes the product as serving teams building production-ready LLM applications.Read 2 Oct 2026 · parea.ai
- Datasets
- The product can incorporate staging and production logs into test datasets and use them to fine-tune models.Read 2 Oct 2026 · parea.ai
- Enterprise limits and support
- The Enterprise plan lists custom roles, SSO enforcement, unlimited logs and deployed prompts, on-premise or self-hosting, and support SLAs.Read 2 Oct 2026 · parea.ai
- Evaluation
- Its evaluation tools test and track performance over time, help debug failures, and compare sample or model changes.Read 2 Oct 2026 · parea.ai
- Free-tier limits
- The Free plan lists a maximum of two team members, 3k logs per month with one-month retention, and 10 deployed prompts.Read 2 Oct 2026 · parea.ai
- Human review
- Users can collect feedback from end users, subject matter experts, and product teams, then comment on, annotate, and label logs for Q&A and fine-tuning.Read 2 Oct 2026 · parea.ai
- LiteLLM integration
- Parea's LiteLLM guide explains how to wrap an OpenAI client to trace calls routed through LiteLLM and view their traces in the logs dashboard.Read 2 Oct 2026 · docs.parea.ai
- Observability
- Parea says it can log production and staging data, run online evaluations, capture user feedback, and track cost, latency, and quality.Read 2 Oct 2026 · parea.ai
- Prompt tools
- The Prompt Playground lets users test multiple prompts on samples and large datasets, then deploy prompts to production.Read 2 Oct 2026 · parea.ai
- SDKs and integrations
- The homepage lists Python and JavaScript/TypeScript SDKs and integrations including OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev.Read 2 Oct 2026 · parea.ai
- Self-hosting
- Parea documents on-premise deployment through Docker, with frontend and backend services run in the customer's environment.Read 2 Oct 2026 · docs.parea.ai
Plans and prices
Strong points and limits
Strong points
- Tracks cost, latency, and quality in production.
- Human annotation supports Q&A and fine-tuning.
- Prompt Playground tests prompts on datasets.
- Free plan costs nothing.
- Docker-based on-premise deployment is documented.
Limits
- Free plan is limited to two team members.
- Free plan allows 3k logs monthly with one-month retention.
- Team costs $150 a month.
- Enterprise pricing is custom.
Who it suits
It suits teams building production LLM applications that need evaluations, production observability, prompt testing, or human review. Teams needing on-premise or self-hosted deployment should consider Enterprise, whose price is listed as custom.
Verdict
Parea AI brings evaluation, observability, prompt workflows, and human annotation together for LLM teams. The Free plan has defined team, log, and prompt limits; Enterprise lists self-hosting and support SLAs at custom pricing.
Where Specifiction places it
- LLM Evaluation Tools#13 of 297.8
- AI Agent Evaluation Tools#20 of 287.8
- LLM Observability Tools#23 of 267.7