Raindrop

Real-time monitoring for LLM and agent performance in production.

Raindrop is an AI operations monitoring platform that provides real-time visibility into how LLM applications and AI agents are performing in production environments. It tracks performance, cost, and output quality metrics, giving teams the operational data they need to manage and improve their AI systems after deployment. Raindrop is designed for mid-market and enterprise teams that are running AI products at a scale where ad hoc debugging is no longer sufficient and operational dashboards become necessary for day-to-day management. It focuses on the operational layer — cost control, reliability, and quality — rather than deeper model evaluation or security testing, positioning it as a practical tool for AI engineering and product teams managing live systems.

Compliance

SOC 2

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Key Features

Real-time performance monitoring: Tracks LLM and agent request latency, error rates, and throughput in real time, giving teams immediate visibility when production issues arise.
Cost tracking: Monitors token usage and associated costs across model calls, helping teams understand and control their AI infrastructure spend as usage scales.
Output quality monitoring: Tracks quality signals on LLM outputs over time, enabling teams to detect degradations in response relevance or appropriateness without manual review of every interaction.
Agent workflow visibility: Provides observability into multi-step agent workflows, surfacing where in a pipeline failures or slowdowns are occurring.
Alerting: Configurable alerts notify teams of anomalies in performance, cost, or quality metrics so issues can be addressed proactively.

Use Cases

For AI engineering teams managing production LLM applications: A team running a customer-facing AI product uses Raindrop to monitor latency and cost in real time, catch output quality regressions, and keep their operational spend under control as user volume grows.
For teams operating complex agent pipelines: An engineering team running multi-step AI agents in production uses Raindrop to get visibility into which steps of their pipeline are slow or failing, without instrumenting each component manually.

Pricing MODELS

Saas subscription

Pricing Summary

Raindrop uses a custom SaaS subscription model. No self-serve tiers or publicly listed prices are available — pricing is determined by contacting the company directly.