parea.ai

parea.ai

Parea AI is a comprehensive platform for experimentation and human annotation, designed specifically for AI development teams to efficiently deploy large language models (LLMs).

About parea.ai

Parea AI is an advanced platform that streamlines experimentation and human annotation processes for AI teams working with large language models. It provides tools for tracking experiments, monitoring model performance, debugging issues, and managing datasets. Key features include automated evaluation creation, real-time performance testing, human feedback collection, prompt testing, deployment management, and comprehensive observability. Parea AI empowers teams to confidently develop, test, and deploy LLM applications at scale.

How to Use

Integrate Parea AI into your LLM development workflow using its Python or JavaScript SDKs. You can log data, run experiments, evaluate model performance, gather human feedback, and deploy prompts seamlessly within your existing environment.

Features

Observability: Monitor logs, debug issues, run online evaluations, and track costs, latency, and quality metrics.
Human Review: Collect and manage human feedback, annotate logs, and label data for model improvement.
Prompt Playground & Deployment: Experiment with prompts, test on datasets, and deploy models with ease.
Datasets: Incorporate logs into datasets for testing and fine-tuning models effectively.
Evaluation: Continuously test, track performance, and debug failures to optimize models.

Use Cases

Evaluating large language model performance.
Gathering human feedback to improve AI models.
Fine-tuning models with real-world production data.
Debugging and troubleshooting issues in deployment.
Optimizing prompts and deploying them at scale.

Best For

Data ScientistsAI Product ManagersMLOps EngineersLLM Application DevelopersAI Engineers

Pros

Combines automated evaluation with human review for comprehensive testing.
Integrates seamlessly with leading LLM providers and frameworks.
Supports the entire AI development lifecycle on a single platform.
Offers straightforward Python and JavaScript SDKs for quick integration.

Cons

Pricing may be prohibitive for small teams or individual developers.
As a relatively new platform, community support and documentation are still growing.
Some advanced features require familiarity with LLM evaluation techniques.

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free

$0/month

Access all platform features for up to 2 team members, with 3,000 logs per month (1-month retention), 10 deployed prompts, and a Discord community.

Most Popular

Team

$150/month

Supports 3 team members (additional at $50/month each up to 20), 100,000 logs monthly (extra logs at $0.001 each), 3-month data retention, unlimited projects, 100 deployed prompts, and a private Slack channel.

Enterprise

Custom pricing

Offers on-premises or self-hosted deployment, support SLAs, unlimited logs and prompts, SSO integration, custom roles, and enhanced security features.

AI Consulting

Custom pricing

Provides rapid prototyping, domain-specific evaluation development, RAG pipeline optimization, and team training on large language models.

Frequently Asked Questions

Find answers to common questions about parea.ai

What is Parea AI?
Parea AI is a platform for experiment tracking and human annotation, designed to support teams building production-ready large language models.
What core features does Parea AI provide?
It offers evaluation tools, human feedback collection, prompt testing and deployment, observability, and dataset management.
Which integrations are supported by Parea AI?
Parea AI supports integrations with major LLM providers and frameworks, including OpenAI SDK, Anthropic SDK, LangChain, and more.
Can I customize deployment options?
Yes, Parea AI offers on-premises and self-hosted deployment options with enterprise-grade security and support.
How does Parea AI assist in model debugging?
The platform provides detailed logs, online evaluation capabilities, and performance metrics to identify and resolve issues efficiently.