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Snowplow

AI runs on models, but wins on context.

Data & Analyticsbehavioral-datareal-time-analyticsai-contextevent-trackingdata-pipelinecustomer-dataagentic-ai
Snowplow screenshot

About

Snowplow is a real-time customer context layer that captures, validates, and enriches digital behavioral event data for use in AI agents, analytics, and data platforms. It streams enriched user behavior data to cloud warehouses, lakes, or streams, and integrates with tools like LangChain, Bedrock, and Vertex AI. Teams use it to power agentic AI applications, advanced analytics, and personalization without vendor lock-in.

Problem

AI agents and analytics tools lack high-quality, real-time customer behavioral context needed to act intelligently and produce accurate insights.

For

Product and data teams at mid-to-large companies building AI applications and advanced analytics

How it works

Snowplow collects and validates digital user events, enriches them with behavioral attributes, and streams them in real time to data warehouses, lakes, or directly into AI agent frameworks.

Business model

unknown

Status

launched

Company

Snowplow Analytics

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