Semantic XAI (Explainable AI) for meaning risk management
DeepaData is a Semantic XAI layer — it explains what emotional context AI interactions contain, through interpretation, not inference. It sits alongside existing model-risk tooling to add meaning-level accountability for regulated environments.
Interpret. Seal. Govern. Share. Verify.
EDM.json — Extract what was significant
.ddna — Signed by DeepaData
Metadata — Compliance in-band
VitaPass — Moves with the subject
API — Confirm authenticity
Traditional XAI explains model mechanics. DeepaData explains model meaning. This is a different governance layer — adjacent but distinct.
Semantic XAI addresses meaning-level risk: what was expressed, what was interpreted, and what policy applied.
Structured artifacts make emotional context inspectable and cryptographically sealed. Without an artifact, context remains transient and difficult to audit.
Audit-friendly records designed to support evolving regulatory requirements across jurisdictions.
DeepaData structures expressed or interpreted content into governed artifacts, rather than deriving hidden states from behavioral signals. This distinction supports a more defensible processing model in regulatory review.
Artifacts are designed to carry consent, retention, and portability metadata to support subject-rights workflows (including erasure and export) where applicable.
Healthcare policy labels and audit trails for covered entities and business associates.
California consumer rights supported through portable, deletable artifacts.
Complete accountability across every decision, action, and policy outcome.
Every artifact includes provenance, timestamp, model version, and consent basis. Artifact-level provenance to support audits, investigations, and post-incident review.
Support internal review with structured records and policy metadata for higher-sensitivity use cases.
Governance metadata travels with every record. Jurisdiction, retention, and consent rules enforced at the data layer.
W3C Data Integrity Proofs (eddsa-jcs-2022) ensure tamper-evident integrity. Verify authenticity independently.
Meaning-level governance for emotional context is under-served. Semantic XAI fills this gap.
Start with API access, or talk to us about enterprise deployment.