Ingest your analytics, webhook, or product events - and extract users, sessions, purchases, and more - automatically mapped into clean, queryable objects.
Interested in a pilot or learning more? [email protected].
Most teams collect thousands of JSON events but:
And tools like dashboards or CDPs only show charts — they don't explain what's really happening, leaving you searching for answers. But what if there was a better way?
Struere provides that better way. We ingest schemaless or noisy event streams and extract:
No brittle ETL pipelines. No manual schema mapping. Just structured data you can build on.
Create user journeys without predefined schema. Discover real paths through your product.
Transform user and product events into ML-ready features for prediction models.
Build real-time context graphs from user interactions to power intelligent agents.
Turn messy CDP data into structured entities you can actually build on.
Connect your warehouse or send real-time events via API.
AI-assisted logic + domain-aware rules identify meaningful entities and their connections.
Receive structured objects in your downstream tools (Amplitude, BigQuery, Neo4j, etc).
Reach out to discuss how we can help transform your raw events into structured business entities.
No sales funnel. No automated emails. Just real conversations about your data challenges.
They're focused on data routing, not meaning. You still have to define what matters.
Great for surfacing KPI changes, but it's a black box. We give you the structured data behind the story.
You could build this yourself. But you'll end up rewriting it for every new schema or use case. We already did.
They're tracking events, not business objects. Without entity mapping, you're missing the bigger picture.
Unlike regular analytics tools that just track events, struere.ai extracts meaningful business entities and relationships from your raw data. This gives you a structured, queryable model of user behavior rather than just event logs.
No, that's the beauty of our approach. Our system automatically infers the entities and relationships from your raw data. You don't need to predefine what you're looking for.
We'll start with a pilot project to demonstrate value with your data. After assessing your specific requirements and data sources, we'll build a customized entity mapping framework for your business context.
Unlike CDPs (Segment, RudderStack) that just route data, we extract meaning. Unlike analytics tools that show charts, we provide structured entities. And unlike custom solutions, our approach automatically adapts to changing data without constant maintenance.