Trusted by AI innovators & global enterprises

Trusted by AI innovators & global enterprises

Trusted by AI innovators & global enterprises

How LangWatch compares to Arize

LangWatch Logo
LangWatch Logo

Agent simulation testing

Scenario-based testing framework that simulates real user interactions to validate complex agent behaviors and multi-step workflows before they reach production environments.

LLM-native architecture

Purpose-built for LLM applications with native support for conversation flows, prompt engineering, and agent-specific evaluation patterns.

Flexible collaboration model

Friendly platform UI for domain experts to create scenarios while providing powerful APIs and SDKs for developers to build complex workflows.

Automated prompt optimization

DSPy-powered automation that iteratively improves prompt performance through systematic generation and evaluation of variants using optimization algorithms.

Arize Logo
Arize Logo
Arize Logo

Input/output evaluation focus

Traditional evaluation methodology using input/output pairs and statistical analysis for model performance assessment and drift detection across production systems.

ML-first platform with LLM features

Traditional ML monitoring platform extended to support LLM use cases, maintaining focus on statistical analysis and model drift detection.

Technical team focus

Designed primarily for ML engineers and data scientists with advanced statistical analysis tools requiring technical expertise.

Manual prompt management

Standard prompt versioning and tracking capabilities with human-driven optimization processes that require manual testing and performance validation across multiple deployment environments and use cases.

What makes LangWatch different?

What makes LangWatch different?

Agent simulations

Agent simulations

Scenario-based agent testing simulates real user interactions to identify workflow failures and edge cases during development, preventing production issues.

LLM Answer Evaluation

Purpose-built for LLM apps

Purpose-built for LLM applications with native support for prompt engineering, multi-turn conversation flows, agent-specific evaluation metrics, and LLM-optimized tracing capabilities.

LLM Answer Evaluation

Purpose-built for LLM apps

Purpose-built for LLM applications with native support for prompt engineering, multi-turn conversation flows, agent-specific evaluation metrics, and LLM-optimized tracing capabilities.

LLM Answer Evaluation

Purpose-built for LLM apps

Purpose-built for LLM applications with native support for prompt engineering, multi-turn conversation flows, agent-specific evaluation metrics, and LLM-optimized tracing capabilities.

AI Agent Testing

Hybrid collaboration with domain experts

Hybrid collaboration approach where domain experts create test scenarios via visual interface while engineers implement advanced evaluation logic through APIs.

AI Agent Testing

Hybrid collaboration with domain experts

Hybrid collaboration approach where domain experts create test scenarios via visual interface while engineers implement advanced evaluation logic through APIs.

AI Agent Testing

Hybrid collaboration with domain experts

Hybrid collaboration approach where domain experts create test scenarios via visual interface while engineers implement advanced evaluation logic through APIs.

Discover LangWatch

Try LangWatch yourself or book some time with an expert to help you get set up.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.

Ship agents with confidence, not crossed fingers

Get up and running with LangWatch in as little as 5 minutes.