Patent Notice

Finds the right documents using 5 different signals instead of just keyword matching — like checking a book's index, table of contents, and cross-references all at once

Scores every AI answer on 5 dimensions: Transparency, Reasoning, Auditability, Compliance, Explainability — so you know how much to trust it

Checks code quality across 5 pillars before AI answers questions about it — like a building inspector for software

Three-layer validation ensuring AI answers respect the rules of your domain (regulations, coding standards, brand guidelines)

Analyzes an entire codebase in 4 passes, building a knowledge graph that AI can reason over — turns code into understanding

12 detectors that catch problems at analysis time, not runtime — like spell-check for architecture

Knows which parts of a system are connected, so changes in one place don't silently break another

Cryptographic proof that no one altered an AI's reasoning after the fact — like a sealed envelope for every answer

Automatically removes sensitive information before AI processing, following strict priority rules

Coordinates multiple AI agents working together in real-time, delivering answers as they're built

4 AI agents argue for and against an answer before delivering it — like a courtroom trial for every response, catching errors a single AI would miss

Remembers which information was useful in past questions and boosts it for similar future questions — the system gets smarter with use

Runs advanced graph algorithms on your knowledge graph using two different engines, combining their strengths

Selects the most relevant information from thousands of options using prize-collecting Steiner tree optimization — finds the best connected subgraph, not just the best individual matches

Calculates not just "how relevant" but "how confident are we in that relevance" — honest about uncertainty