Knowledge & Data Foundations

Agents and models are only as reliable as the information they work from. We curate and label datasets, build knowledge bases that agents can query, and set up the governance around them: who can change what, where each record came from, and how quality is measured. Quality and provenance are documented so they can be reviewed.

• Inventory of source data with ownership and access rules
• Curated and labeled datasets with labeling guidelines
• Governed knowledge base with retrieval set up for your agents
• Data quality checks and a documented provenance record
• Update and review process for keeping the knowledge current

• Access to the source documents and data, or a secure copy
• Subject-matter experts to review labeling guidelines and samples
• Your data classification and retention policies
• An owner for each knowledge domain