Trustworthy AI Through Semantic Evidence Grounding
Victor Evidence enables deterministic validation, semantic traceability, and trustworthy retrieval-augmented generation for enterprise AI systems.
Featured Paper: arXiv:2603.18011 | ORCID: 0009-0002-0369-4493
Why Victor Evidence
Evidence Grounding
Evaluate whether generated answers are supported by admissible semantic evidence before they are trusted.
Deterministic Validation
Validate evidence without retraining, fine-tuning, or opaque scoring systems.
Enterprise AI
Built for retrieval systems, AI agents, enterprise search, and knowledge-intensive workflows.
How Victor Evidence Works
AI Question
A user query, enterprise workflow, or AI agent initiates validation.
Evidence Validation
Applies Meaning Utility Estimation (MUE), Diversity Utility Estimation (DUE), and deterministic gating.
Grounded Output
Responses include traceability, validation metrics, and semantic grounding information.
Applications
Research & Intellectual Property
Victor Evidence is based on original research into controllable evidence selection and deterministic utility gating for retrieval-augmented QA systems.
Research Publication • Patent Pending • API • SDK
• Paper: arXiv:2603.18011 • • ORCID: 0009-0002-0369-4493