What is the Jedify's Semantic Fusion™ model?

Overview

The Jedify Semantic Fusion™ Model, (SFM), is your gateway to transforming complex databases into AI-ready insights. This innovative framework serves as the core intelligence behind Jedify's agentic flow, enabling users to query complex data structures using natural language. The model constructs a rich knowledge graph where business entities and their relationships are represented through connected nodes, with each node containing contextual definitions and SQL implementations.

Purpose and Value

Our intelligent agent aggregates multiple disparate data sources and seamlessly integrates them into a unified source of truth—a comprehensive knowledge graph that precisely defines entities and their interrelationships. This architecture:

Establishes clear, consistent entity definitions and calculations, eliminating conflicting definitions scattered across systems
Processes natural language queries through an intuitive conversational interface
Synthesizes information from diverse sources including:
- Database query logs for understanding usage patterns
- Organizational terminology, jargon, and personal preferences
- Business intelligence tools and dashboards
- External APIs and third-party data sources
- Document repositories and knowledge bases

Key Benefits

Business clarity: Through its intelligent abstraction layer, SFM empowers both business users and AI systems to explore and analyze data naturally, using familiar business concepts rather than wrestling with complex database terminology.
Consistency: Ensures all users work with standardized definitions of business metrics and dimensions
Flexibility: You maintain full control over your model, easily customizing and evolving it as your business needs change.
Universal translation: SFM turns database complexity into business clarity, paving the way for smarter, more intuitive analytics that grows with your organization.
Self-Service Analytics: Empowers non-technical users to perform sophisticated data analysis
Reduced Development Time: Eliminates the need for custom report development

Who is this for?

Data Engineers: Who need to create and maintain consistent data models
Business Analysts: Who need to access data without SQL expertise
Data Operations: Teams managing complex data ecosystems
Business Users: Who need to query data using natural language
BI Developers: Professionals building visualization and reporting solutions