FULL-STACK KNOWLEDGE EXTRACTION
The Source of Truth for Your Enterprise Architecture
Vaelith extracts, validates, and manages architecture knowledge from enterprise documents. Our platform combines deterministic rule-based extraction with intelligence and a human gate to ensure verifiable source citations for every architectural fact.
[ ARCHITECTURAL INTEGRITY : EST. 2026 ]
Core Architecture Pathways
Two parallel tracks for IT and Business Architecture, powered by the same zero‑hallucination engine.
Core Design Principles
- Zero-Hallucination Guarantee Every fact requires a verifiable source citation. If the source document does not state it, it does not exist in the model.
- Per-Element Provenance Every container, component, data flow, and entity tracks its own source URL, source quote, confidence score, and verification status.
- Faceted Knowledge Model Products and environments are documented across 10+ facets (identity, architecture, data flows, security, compliance, operations, business context, etc.) rather than a flat structure.
- Human Review Gate Extracted facts pass through a confidence-scored review flow before entering the system. Users accept, edit, or remove each fact.
- File-Based Storage All data stored as YAML files on disk. No database required. Git-friendly, auditable, portable.
Who Vaelith Serves
Executives / C‑Level
Clear, source‑backed views of risk, investment, and architecture health.
Security Engineers
Threat modeling of baseline architectures using industry best practices.
Solution Architects
Auto‑generated data flow diagrams for draw.io, Lucid, PlantUML, and Mermaid.
Developers
Generation of ADRs, HLDs, LLDs, Security, Compliance docs, EDRs, and more.
PLATFORM ARCHITECTURE
Vaelith is a high-performance documentation engine that extracts and validates architecture knowledge from enterprise documents. By combining deterministic rule-based systems with LLM intelligence and a dual-path correlation framework, it ensures every technical fact is verified and traceable. Our platform transforms static documents into a dynamic, queryable source of architectural truth.
Our Story
From the Marine Corps to enterprise architecture, the same problem kept showing up: when experts walk out the door, the architecture walks with them.
Over the last decade in tech, I watched critical IT and Business Architecture knowledge vanish every time a subject matter expert changed roles or left a company. New hires took months to ramp. Teams struggled to understand their own systems.
Executives, security, engineers, developers, and managers were never truly on the same page. Diagrams, documents, and audits all told different stories.
At the same time, AI was exploding. But there was a gap: How do you leverage AI at scale and still guarantee that every architectural fact is correct, consistent, and traceable back to a real source?