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Raindrop AI

Monitor your AI app the right way. Get alerts about hidden issues in your AI products with Raindrop's Sentry-like monitoring platform.

Introduction

Raindrop AI is a monitoring platform designed for AI agents, providing alerts and insights into agent behavior. It helps AI engineers identify and fix issues in their AI products, ensuring optimal performance and user experience.

Key Features:

  • Issue Detection: Define custom issues and receive real-time Slack alerts when they occur.
  • Step-by-Step Tracing: Trace the execution of AI agents to identify the root cause of issues.
  • A/B Testing: Experiment with different prompts and models to optimize agent performance.
  • Semantic Search: Quickly find relevant events and patterns in your AI data.
  • Regex Signals: Define custom signals to track specific behaviors.
  • PII Guard: Customized PII Redaction that maintains visibility without compromising privacy.
  • Deep Search: Find and track anything, across millions of events.

Use Cases:

  • Monitoring AI agents for silent failures.
  • Detecting and visualizing abnormal trajectories.
  • Identifying user frustration and complaints.
  • Tracking the performance of new models in production.
  • Ensuring data privacy with PII redaction.
  • A/B testing prompts and models to improve agent behavior.

Alternatives

  • Arize AI

    Arize AI offers a comprehensive platform for monitoring and troubleshooting machine learning models in production, focusing on performance and data quality.

  • WhyLabs

    WhyLabs provides an AI observability platform to detect data drift, monitor model performance, and ensure data integrity for AI applications.

  • Fiddler AI

    Fiddler AI helps monitor, explain, and analyze AI models to ensure fairness, compliance, and optimal performance.

  • Datadog

    Datadog's monitoring and analytics platform can be used to track the performance of AI applications alongside infrastructure and application metrics.

  • New Relic

    New Relic provides application performance monitoring (APM) that can be used to monitor the health and performance of AI-powered applications.

  • Dynatrace

    Dynatrace offers AI-powered monitoring to observe the performance and user experience of AI applications in real-time.

  • Comet

    Comet is an MLOps platform that helps track, compare, and optimize machine learning experiments and models in production.

  • Weights & Biases

    Weights & Biases provides tools for tracking machine learning experiments, visualizing performance, and collaborating on AI projects.

  • Sentry

    Sentry provides error tracking and performance monitoring, which can be used to identify and resolve issues in AI applications.

  • Deepchecks

    Deepchecks focuses on validating and monitoring machine learning models and data, ensuring data quality and model integrity throughout the lifecycle.

User Reviews

4.3/5.0
(16reviews)
Click stars to rate

Pricing

Pricing Model: Subscription, Usage-based

Starter

Basic features for getting started.

$65/mo, $0.001 / interaction
monthly, per interaction

Pro

Advanced features for growing teams.

$350/mo, $0.0007 / interaction
monthly, per interaction

Enterprise

Custom solutions for large organizations.

Contact Us, Custom Pricing
custom

FAQ

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