Make Unstructured Data Ready for AI
Review, verify, and control unstructured files before they influence your models.
The Stakes for AI Leaders
AI leaders are accountable for what enters their models. If unstructured data is used without inspection, it creates risks that surface late, compound over time, and are hard to trace back. Gaps in quality, structure, and governance don’t just slow down delivery, they undermine it.
Whether content is used for prompting, retrieval, or fine-tuning, inspection has to happen before use.
With Data X-Ray you can:
Deploy your first production model in six weeks instead of three months
Cut manual compliance exceptions by 80 percent
Reduce data-related model errors by 50 percent
Data X-Ray Designed for AI Data Owners
Contextual Classification
Label files based on full-text analysis to reflect true content, not just metadata.
Relevance Tagging
Identify files that match your AI objectives and filter out what doesn’t belong.
Entitlements Auditing
Reveal who can access, edit, or share each file to surface exposure and ownership gaps.
Regulatory Enforcement
Apply controls that block noncompliant data from reaching GenAI workflows.
Unstructured ETL
Extract and structure content from complex files into formats your AI systems can use.
Agentless Deployment
Deploy as a container connected to S3, SharePoint, or file shares without moving data.
Cut Data Prep from Months to Weeks
Learn how AI leaders halve prep time and eliminate hidden risks in one demo.
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