Experiments

AI evaluation and observability · by Raindrop

A/B testing for AI agents across models, properties, tools, signals, and date ranges to validate fixes and iterate on solutions.

What it does

A/B testing for AI agents across models, properties, tools, signals, and date ranges to validate fixes and iterate on solutions.

  • Monitor AI agents in production
  • Trace agent runs and detect failures
  • Investigate root causes of agent issues
  • A/B test agent variations
  • Search across user and agent interactions
Category
AI evaluation and observability
Users
Engineering teams building and operating AI agents
Public API
Not offered

Not yet disclosed: deployment options, platforms, languages and support channels.

Pricing

Pricing not available

We don't have pricing details for Experiments yet. Ask Raindrop for a quote.

Security and compliance

As reported by Raindrop. Ask for audit reports before you buy.

  • SOC 2Compliant

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