Parea AI
Parea AI is a platform for experiment tracking, observability, and human annotation for teams building LLM applications for production.
What Parea AI is
Parea AI is a platform for experiment tracking, observability, and human annotation for teams building LLM applications for production. Its evaluation tools test and track performance, help debug failures, and compare sample or model changes. Teams can collect feedback from end users, subject matter experts, and product groups, then comment on, annotate, and label logs for Q&A and fine-tuning. The Prompt Playground lets users test multiple prompts on samples or large datasets and deploy prompts to production. Parea can log production and staging data, run online evaluations, capture feedback, and track cost, latency, and quality. Those logs can also become test datasets and support model fine-tuning. The listed SDKs are for Python and JavaScript/TypeScript, with integrations including OpenAI, Anthropic, LangChain, Instructor, DSPy, LiteLLM, Maven, SGLang, and Trigger.dev. A free plan is available; the Team plan costs $150 a month. Enterprise lists on-premise or self-hosting, unlimited logs and deployed prompts, SSO enforcement, custom roles, and support SLAs.
Good
- Evaluation tools help compare model or sample changes.
- Production and staging logs can feed test datasets.
- Prompt Playground supports testing across large datasets.
- Human feedback can be annotated and labeled.
- Docker-based on-premise deployment is documented.
Watch out
- Free allows at most 2 team members.
- Free includes 3k logs monthly with one-month retention.
- Free is limited to 10 deployed prompts.
- Team costs $150 a month.
Who it suits
Parea AI suits teams developing production LLM applications that need evaluation, observability, prompt work, and human review workflows. Teams requiring on-premise deployment or enterprise controls may consider its Enterprise plan.
Verdict
Parea AI combines evaluation and production monitoring with prompt tools and human annotation. Review its Free limits and Team cost, or check Enterprise's custom terms if self-hosting and expanded controls are required.
Plans and prices
From Parea AI's own pricing page, checked 2 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | Max. 2 team members · 3k logs / month (1 mon retention) · 10 deployed prompts · Discord community · $0 / month |
| Team | $150 a month | 3 members ($50 / month per add'l. member up to 20) · 100k logs / month incl. ($0.001 / extra log) · 3 month data retention, (6/12 mon upgrade) · Unlimited projects · 100 deployed prompts · Private Slack channel · $150 / month |
| AI Consulting | Priced on request | Rapid Prototyping & Research · Building domain-specific evals · Optimizing RAG pipelines · Upskilling your team on LLMs · Custom |
| Enterprise | Priced on request | On-prem/self-hosting · Support SLAs · Unlimited logs · Unlimited deployed prompts · SSO enforcement and custom roles · Custom |
The facts
Each one read from Parea AI's own pages, with the date it was checked.
What it does
- Datasets
- The product can incorporate staging and production logs into test datasets and use them to fine-tune models.checked 2 Oct 2026
- 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.checked 2 Oct 2026
- Evaluation
- Its evaluation tools test and track performance over time, help debug failures, and compare sample or model changes.checked 2 Oct 2026
- 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.checked 2 Oct 2026
- Intended users
- Parea's homepage describes the product as serving teams building production-ready LLM applications.checked 2 Oct 2026
- 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.checked 2 Oct 2026
- Observability
- Parea says it can log production and staging data, run online evaluations, capture user feedback, and track cost, latency, and quality.checked 2 Oct 2026
- Product
- Parea describes itself as a platform for experiment tracking, observability, and human annotation to help teams ship LLM applications to production.checked 2 Oct 2026
- Prompt tools
- The Prompt Playground lets users test multiple prompts on samples and large datasets, then deploy prompts to production.checked 2 Oct 2026
- 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.checked 2 Oct 2026
- Self-hosting
- Parea documents on-premise deployment through Docker, with frontend and backend services run in the customer's environment.checked 2 Oct 2026
Money
- 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.checked 2 Oct 2026
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