Overview

Transform data into intelligent, connected knowledge

Foundation's knowledge engineering capabilities create a semantic layer that connects your data to real-world concepts, dramatically improving AI performance and data discoverability.

Build Custom Ontologies: Define ontologies specific to your organisation so that your systems understand the world the same way that you do.

Map Data to Business Concepts: Connect data sets to real-world entities like customers, products, or assets and build a knowledge graph.

Enhance AI Model Context: Provide semantic understanding to improve ML model accuracy and interpretability

Create Semantic Search: Enable natural language queries that understand meaning and context

Capture Expert Knowledge: Document and digitize institutional knowledge from subject matter experts

Establish Data Relationships: Define how different data entities relate to each other across systems

Improve Data Discovery: Help users find relevant data using business terminology instead of technical names

Enable Contextual Analytics: Analyze data with understanding of business relationships and hierarchies

Support Decision Intelligence: Provide AI systems with business context for better recommendations

Key Features:

• Automated Ontology Creation: AI agents analyze your data and create industry-standard knowledge graphs

• Semantic Data Mapping: Automatically map datasets to business concepts and industry standards

• Context-Aware Search: Find data based on meaning, not just keywords

• Knowledge Graph Management: Continuously update and refine the knowledge graph as data evolves

• AI-Enhanced Discovery: Leverage knowledge graphs to improve machine learning model performance

• Domain Expertise Integration: Capture and codify institutional knowledge from subject matter experts