Ashr vs LangWatch (2026)

Pros

• Addresses critical gap in systematic testing for probabilistic AI agents
• Multi-modal coverage across voice, text, image, and file generation is rare
• Free tier lowers adoption barrier for teams evaluating the platform
• Prompt versioning with regression tracking is a strong developer experience feature
• Both founders have prior AI startup experience including a successful exit

Cons

• Very early stage with only 2 people — scaling support uncertain
• Paid pricing tiers not publicly disclosed
• Competes with Braintrust, Arize, and LangSmith expanding into agent testing
• SDK-only integration may limit adoption with non-technical teams

Pros

• Unique agent simulation testing via Scenario framework — enables multi-turn, stateful agent testing unmatched by LangSmith or Langfuse
• Fully open-source with MIT license and no feature gating on self-hosted deployments
• All-in-one platform combining tracing, evaluation, prompt management, and PII redaction
• Framework-agnostic with OpenTelemetry-native integration across all major agent frameworks
• Enterprise-ready with ISO 27001, SOC2, GDPR compliance, and on-prem deployment options

Cons