Snowplow
AI runs on models, but wins on context.
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.
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.
Product and data teams at mid-to-large companies building AI applications and advanced analytics
Background.
- Status
- launched
- Business model
- unknown
- Company
- Snowplow Analytics
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