Dawn Analytics

Dawn Analytics, now operating as Raindrop, builds monitoring and debugging tools for AI engineering teams. Its platform captures agent messages, tool calls, retries and errors, detects silent failures, and supports investigation through traces and Slack. Teams can define behavioral signals and test fixes against live traffic with experiments. Raindrop Workshop extends the workflow to local development, with a browser trace viewer, replay and MCP access so coding agents can inspect failures and generate evaluations.

Founded in 2023 by Zubin Koticha, Alexis Gauba and Ben Hylak, the company is led by Koticha as CEO. Its original Dawn product categorized user inputs and model outputs for analytics, including user segmentation and churn analysis. That classification approach now supports agent monitoring: its Signals pipeline combines code that gathers relevant evidence across traces with task-specific semantic models. Separating the reasoning needed to build a classifier from its repeated execution lets teams track nuanced behaviors across multi-step agent runs.

In 2026, Raindrop reported that its classification infrastructure evaluated over 20 billion traces per month, with median classification time of 100 milliseconds. The company announced $15 million in seed funding in 2025, led by Lightspeed Venture Partners, to expand production monitoring and meet enterprise demand.