Snowplow
AI runs on models, but wins on context.
Snowplow is a real-time customer context layer that collects, validates, and enriches behavioral event data from digital user interactions and streams it to data warehouses, lakes, or AI agents. It enables product and data teams to track custom events, distinguish human from AI agent behavior, and integrate with platforms like LangChain, Bedrock, and Vertex AI. The platform is designed to power agentic AI applications, advanced analytics, and personalization use cases without vendor lock-in.
Snowplow collects and validates digital user events, enriches them with behavioral attributes, and streams the data 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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