Deterministic semantic encoding based on information theory.
Encodes only what is present, observable, and relevant in the data.
Designed for traceability, auditability, and reproducibility.
Semantic Integrity Retrieval Engine.
Embedding-free document retrieval that preserves query intent.
Prevents hallucinations by refusing to infer beyond the corpus.
Full traceability across the entire retrieval chain.
Diagnostic tools for measuring semantic drift, masking, and instability in AI-assisted systems.
Designed to support compliance with GDPR and the EU AI Act.
Demonstration of deterministic retrieval on text and image-based datasets.
Cross-domain retrieval using curated open datasets (Wine Reviews, AG News).
Demonstrates domain separation and semantic stability.
Observe how surface language mutates while underlying meaning remains stable. Measure controlled word replacement, masking, and structural persistence across semantic transformations.