Lets AI assistants work on sensitive files by reasoning over schemas and masked output while deterministic local code handles raw data, never exposing real values to the model.
Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.
Enables AI agents to understand and query your database safely by providing a semantic layer of metadata, with tools to search, explain, validate, and generate safe SQL.
Enables local, in-memory de-identification of PII, PHI, and credentials with deterministic reversible surrogate tokens before LLM transmission, then restores originals from volatile session mappings and audits for exposures without network egress or disk writes.