parea-ai

parea-ai

Parea AI is a platform for experiment tracking, evaluation, observability, and human annotation designed to help teams test, debug, and ship production-ready LLM applications.

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Freemium API Enterprise 75/100
#496 in AI Agents (496 tools)
Just launched
Data reviewed Aug 25, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

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Best fit

AI Agents

Pricing snapshot

Freemium from $0 / month

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parea-ai

Parea AI is an experiment tracking and human annotation platform that helps teams test, evaluate, and ship LLM applications. The product provides evaluation tooling to test and track performance over time, human review features for collecting annotations and feedback, a prompt playground and deployment workflow, observability for production and staging data, and dataset tooling to incorporate logs for fine-tuning. It is aimed at engineering and product teams building production-ready LLM apps.

Parea AI: Experimentation and human annotation platform for AI teams to ship LLM apps.

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Key Features

Evaluation & Experiment Tracking

Test, evaluate, and track model performance over time; run experiments and answer questions about regressions and model improvements.

Human Review & Annotation

Collect human feedback from end users, subject matter experts, and product teams; comment on, annotate, and label logs for Q&A and fine-tuning.

Prompt Playground & Deployment

Tinker with multiple prompts on samples, test them on large datasets, and deploy the best prompts into production.

Observability

Log production and staging data, debug issues, run online evals, and capture user feedback while tracking cost, latency, and quality.

Datasets for Fine-tuning

Incorporate logs from staging and production into test datasets and use them to fine-tune models.

Python & JavaScript SDKs

Simple SDKs and examples to wrap/patch OpenAI clients and auto-trace LLM calls; includes example code for tracing and running experiments.

Native Integrations

Native integrations with major LLM providers and frameworks (listed on the site).

Pricing

Free Tier Available

Free Builder plan: $0/month, all platform features, up to 2 team members, 3k logs/month with 1 month retention, and 10 deployed prompts.

Free (Builder)

$0 / month
  • All platform features
  • Max. 2 team members
  • 3k logs / month (1 month retention)
  • 10 deployed prompts

Team

$150 / month
  • 3 members (additional $50 / month per member up to 20)
  • 100k logs / month included ($0.001 / extra log)
  • 3 month data retention (6/12 month upgrades available)
  • Unlimited projects

Enterprise

Custom
  • Talk to founders / custom pricing
  • On-prem / self-hosting options
  • Support SLAs
  • Unlimited logs

AI Consulting

Custom
  • Talk to founders
  • Rapid prototyping & research
  • Domain-specific eval creation
  • RAG pipeline optimization

Use Cases

Model evaluation and regression testing

Run automated and domain-specific evaluations to compare models, track regressions, and measure improvements over time.

Human-in-the-loop annotation

Collect and manage human feedback and annotations for Q&A, labeling, and fine-tuning workflows.

Prompt development and deployment

Experiment with prompts at scale in a playground, evaluate them on datasets, and deploy high-performing prompts to production.

Observability and debugging

Log production/staging LLM calls, monitor cost/latency/quality, and debug failures in deployed systems.

Dataset creation for fine-tuning

Build datasets from logs and use them to fine-tune and improve model performance.

Consulting & prototyping

Paid AI consulting services for rapid prototyping, domain-specific evals, RAG pipeline optimization, and team upskilling.

Integrations

OpenAI SDK

Native integration and examples to wrap OpenAI clients for auto-tracing LLM calls.

Anthropic SDK

Listed native integration with Anthropic as a supported provider.

LangChain

Integration with LangChain frameworks for instrumentation and tracing.

Instructor, DSPyLite, LLMMaven, SGLang, Trigger.dev

Additional listed integrations and frameworks referenced on the product site.

Benefits

Centralized experiment tracking and evaluation for LLMs
Ability to collect human feedback and annotations for model improvement
Tools to test, debug, and deploy prompts and models into production
Observability for cost, latency, and quality metrics
SDKs and integrations to instrument existing LLM clients and pipelines
Pricing and plans tailored to teams and enterprises

Limitations

Free plan limited to 2 team members and 3k logs per month with 1 month retention
Team plan includes 100k logs/month; additional logs billed ($0.001 / extra log)
Longer data retention and higher limits require paid plans or enterprise upgrades

Frequently Asked Questions

No verified FAQs are available.

Getting Started

  1. 1 Sign up / Get Started for free on the Builder plan (no credit card required)
  2. 2 Install and configure the Python or JavaScript SDK and set PAREA_API_KEY
  3. 3 Wrap or patch your LLM client to auto-trace calls and add eval functions
  4. 4 Run experiments, collect logs, annotate and evaluate results in the platform
  5. 5 Deploy selected prompts to production using the prompt deployment workflow

Support

Docs

Documentation pages linked from the site (Docs) for feature guides and SDK usage.

Community (Discord)

Discord community available for users (listed on the site).

Private Slack (Team)

Private Slack channel offered for Team plan customers.

Sales / Consulting

Talk to founders / contact for Enterprise or AI consulting engagements.

API

Available: Yes

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