Training Data Builder

The Training Data Builder leverages the structured knowledge in your graphs to create labeled, domain-specific datasets ideal for AI and machine learning. Instead of extracting training data manually, you define patterns or criteria—and get clean, traceable datasets aligned with your business context.

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Generate high-quality, context-aware training data for AI models.

AI projects often fail because training data lacks relevance, context, or quality. With Training Data Builder, you turn your graph into a data goldmine. It ensures your training sets are grounded in reality, enriched by relationships and provenance, and formatted for quick use in downstream pipelines.

This reduces the effort of building training sets by over 60%, and helps your models learn from truly representative, structured knowledge.

Practical Example: An automotive supplier wants to build an AI assistant to classify service tickets. Using the Training Data Builder, they extract labeled examples of issues related to specific components, linked to vehicle models and sensor error codes. The result: a highly accurate model trained on rich, contextual data without manual labeling.

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