About
What is Parea?
Parea is an experimentation and human annotation platform designed for AI teams to confidently ship LLM applications. It provides comprehensive tools for testing and evaluating AI systems, including experiment tracking to monitor performance over time and debug failures. Users can collect human feedback from end users, subject matter experts, and product teams, allowing for annotation and labeling of logs for Q&A and fine-tuning. Parea also features a prompt playground for testing multiple prompts on large datasets and deploying effective ones. Its observability capabilities log production and staging data, track cost, latency, and quality, and enable online evaluations and user feedback capture. Additionally, Parea supports incorporating logs into test datasets for model fine-tuning.
Best used for
Ideal for AI teams who need to rigorously test LLM applications, gather human feedback for model improvement, and monitor production performance. Especially valuable for ensuring the quality and reliability of AI systems before and after deployment.
Common actions
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Capabilities
Key features
- Experiment tracking
- Human annotation
- Prompt playground
- LLM observability
- Dataset management
- Python SDK
- JavaScript SDK
Target Audience
StudentsContent CreatorsWritersMarketersAcademics
Integrations
openaianthropiclangchaininstructordspylitellmmavensglang+ 1 more
Pricing & Plans
Freemium · Paid · Enterprise
FAQs
What are the limitations of Parea's free plan?
The free plan includes all platform features for up to 2 team members, 3,000 logs per month with 1-month retention, and 10 deployed prompts. It also provides access to the Discord community for support.
Does Parea offer self-hosting options for enterprises?
Yes, Parea offers on-premise and self-hosting options as part of its Enterprise plan. This tier also includes unlimited logs, custom roles, SSO enforcement, and additional security and compliance features.
What kind of AI consulting services does Parea provide?
Parea's AI consulting services include rapid prototyping and research, building domain-specific evaluations, optimizing RAG pipelines, and upskilling teams on LLMs. These services are available as a custom offering.
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