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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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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Claim this listing for $29Key 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 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
Limitations
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Sign up / Get Started for free on the Builder plan (no credit card required)
- 2 Install and configure the Python or JavaScript SDK and set PAREA_API_KEY
- 3 Wrap or patch your LLM client to auto-trace calls and add eval functions
- 4 Run experiments, collect logs, annotate and evaluate results in the platform
- 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
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