Automate Your Semantic Modeling Work
Stop manually defining every metric and relationship. Jedify’s AI agents autonomously build and maintain your semantic layer, freeing your team to focus on strategic data initiatives.
Use Case
Scaling a Semantic Layer for a Growing Company
Before Jedify
A data engineering team at a fast-growing company is overwhelmed. They have 15 open requests for new metrics and dashboards, but they’re still manually defining the semantic model in their BI tool. Each new data source requires weeks of work to integrate. The backlog keeps growing, and business teams are frustrated by the slow pace of data delivery.
With Jedify
The team implements Jedify and connects it to their data warehouse. Jedify’s AI agents automatically discover and model 80% of the semantic layer in the first week. The team reviews and refines the model, adding business context from their internal documentation. New data sources are now integrated in days instead of weeks, and the backlog of metric requests is cleared within a month. The team can now focus on building a real-time data streaming infrastructure.
Autonomous Semantic Discovery
Jedify’s AI agents automatically analyze your data warehouse schemas, infer relationships, and propose semantic models. What used to take weeks of manual work now happens in hours, with human oversight to ensure accuracy and alignment with business logic.
Self-Healing Data Pipelines
When your data schema changes, Jedify automatically detects the impact and updates the semantic model accordingly. No more broken dashboards or manual fixes. Your data pipelines are resilient and self-maintaining, reducing operational overhead and improving data reliability.
Context Ingestion from Documents
Jedify doesn’t just model your data; it understands your business. Upload business glossaries, process documents, and internal wikis, and Jedify will incorporate that context into the semantic model, ensuring that metrics and definitions align with how your organization actually operates.
eVal & Editing
Jedify’s extensive eVal framework allows for both continuous automated as well as manual evaluation cycles ensuring up to date metrics as to model accuracy and consistency. When needed, making manual edits is easy with an audited, vetted sandbox and production environment
