Keywords AI

Braintrust vs Patronus AI

Compare Braintrust and Patronus AI side by side. Both are tools in the Observability, Prompts & Evals category.

Quick Comparison

	Braintrust	Patronus AI
Category	Observability, Prompts & Evals	Observability, Prompts & Evals
Pricing	Freemium	Enterprise
Best For	AI teams who need a unified platform for logging, evaluating, and improving LLM applications	AI teams that need rigorous, automated quality evaluation and safety testing
Website	braintrust.dev	patronus.ai
Key Features	Real-time LLM logging and tracing Built-in evaluation framework Prompt playground Dataset management Human review workflows	Automated LLM evaluation platform Hallucination detection RAG-specific evaluation metrics Red-teaming capabilities CI/CD integration
Use Cases	Iterating on prompts with real production data Running evaluations across model versions Building golden datasets from production traffic Human-in-the-loop review of LLM outputs Cost and latency optimization	Detecting hallucinations in production RAG quality evaluation Adversarial testing of LLM systems Continuous evaluation in CI/CD Model comparison and selection

When to Choose Braintrust vs Patronus AI

Choose Braintrust if you need

Iterating on prompts with real production data
Running evaluations across model versions
Building golden datasets from production traffic

Pricing: Freemium

Choose Patronus AI if you need

Detecting hallucinations in production
RAG quality evaluation
Adversarial testing of LLM systems

Pricing: Enterprise

About Braintrust

Braintrust is an end-to-end AI product platform trusted by companies like Notion, Stripe, and Vercel. It combines logging, evaluation datasets, prompt management, and an AI proxy with automatic caching and fallback. Braintrust's evaluation framework helps teams measure quality across prompt iterations with customizable scoring functions.

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About Patronus AI

Patronus AI provides automated evaluation and testing for LLM applications. The platform detects hallucinations, toxicity, data leakage, and other failure modes using specialized evaluator models. Patronus offers pre-built evaluators for common use cases and supports custom evaluation criteria, helping enterprises ensure AI safety and quality before and after deployment.

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What is Observability, Prompts & Evals?

Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.

Browse all Observability, Prompts & Evals tools →