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Data Readiness Assessment
A structured audit of data quality, completeness, and fitness for AI use — surfacing the gaps before they become model failures or compliance findings.
Before a model can be trusted, the data underneath it has to be. We build the foundation — clean, classified, traceable — so your AI can be evaluated, explained, and defended.
A structured audit of data quality, completeness, and fitness for AI use — surfacing the gaps before they become model failures or compliance findings.
Trace every training feature, input, and inference output back to an authoritative source — so you always know what touched your data, and when.
Inventory and classify sensitive data — PII, CUI, PHI — and wire access controls so only the right systems, and the right people, can see the right fields.
Transform documents, records, and unstructured content into governed vector embeddings — what modern AI and retrieval systems actually consume — with provenance and access rules carried through.