Canonical: https://hypler.com/ai-information Public reference / Reviewed 2026-10-10 # Hypler public technical reference. Company facts, project boundaries, source material, and project-stage context for people and systems reading this site. Company ## An independent software company. Hypler is an independent software company engineering Super Intelligence (SI) infrastructure, complex platforms and connected data systems. We work with technical teams on architecture, implementation, integration and accountable operation. Hypler LLC develops SI infrastructure and systems software through scoped engineering engagements. We work with technical teams across SI infrastructure, source-aware data, platform engineering, and complex operational software. [How we use models in engineering](https://hypler.com/approach) Machine-readable references ## Public information, directly. [Complete public content index Every canonical public page with its full-text Markdown URL. JSON](https://hypler.com/content-index.json)[Public AI access guide Open reading, retrieval, caching and training permissions for Hypler-authored public text. Text](https://hypler.com/ai.txt)[Public AI access policy Machine-readable permissions, third-party rights and private-access boundaries. JSON](https://hypler.com/ai-use-policy.json)[SI discovery manifest Versioned public indexes, topic taxonomy, and article Markdown links. JSON](https://hypler.com/ai-index.json)[SI briefing reading index Topic-grouped links to source briefings and company engineering notes in Markdown. Markdown](https://hypler.com/ai-news/index.md)[SI briefing crawler guide Scoped source-date, citation, and image-provenance guidance. Text](https://hypler.com/ai-news/llms.txt)[Recent news sitemap Recent Hypler publication dates at generation time; the canonical sitemap retains the full archive. XML](https://hypler.com/news-sitemap.xml)[Engineering knowledge Complete public wiki and engineering reference articles. JSON](https://hypler.com/knowledge-index.json)[Engineering reference Full articles with canonical links and source context. Markdown](https://hypler.com/knowledge.md)[SI briefing archive Dated source briefings and first-party engineering notes with credited article imagery. JSON](https://hypler.com/ai-news.json)[LLM index Canonical pages and important distinctions. Text](https://hypler.com/llms.txt)[Complete public text corpus Full text of every canonical public page, with source links and dates. Text](https://hypler.com/llms-full.txt)[Public project registry Structured company, project, evidence, and access information. JSON](https://hypler.com/project-index.json)[Page sitemap Canonical public routes. XML](https://hypler.com/sitemap.xml)[Image sitemap Project and briefing media associated with their canonical pages. XML](https://hypler.com/image-sitemap.xml) Project reference ## Different systems. Distinct roles. SI capability infrastructure ### [ Rangoon](https://hypler.com/projects/rangoon) In development A modular SI capability workspace for agent profiles, skills, workflows, connectors, model targets, tests, and versioned artifacts. - Import and inspect capability components - Compose and decompose workflows and dependencies - Review composition, execution, and governance graphs - Test and prepare compile previews and deployment plans Interface design evidence: The command center, workflow composer, and skill registry concepts show how related SI capabilities can be made inspectable in one workspace. Interface concepts demonstrate capability composition and review workflows. In development: capability composition, interface design, compatibility planning and evaluation. Execution authorization and evidence ### [LNSAT](https://hypler.com/lnsat) In development A policy-governed authorization and evidence layer for consequential agent actions. - Exact, versioned action packets - Deterministic policy decisions and scoped approvals - One-time authorization for the intended action - Receipts and reconciliation for known and unknown outcomes Pre-release source evidence: Versioned action packets, scoped approvals, and receipt/reconciliation contracts demonstrate how capability can be separated from permission and execution outcomes. Pre-release source covers packet validation, scoped approvals and outcome reconciliation. Public source 0.1.0, pre-release. Execution authority is evaluated for each action packet and recorded with its outcome. Semantic interoperability specification ### [VUSL](https://hypler.com/vusl) In development VUSL is a shared language for describing capabilities, observations and relationships across software platforms while preserving each system’s meaning and origin. - Shared descriptions across platforms - Native meaning and origin preserved - Rangoon as first consumer - Independent core planned In development: Cross-platform semantic interoperability, with Rangoon as first consumer. Standalone library and integrations remain in development. In development. Shared core and platform integrations are planned work. Product data and API infrastructure ### [ IZIOS](https://hypler.com/projects/izios-diamond-platform) Documented platform case study Hypler-developed diamond data infrastructure connecting supplier inventory, product evidence, discovery, and reusable retail APIs. - Normalized supplier inventory and incremental synchronization - PostgreSQL-backed catalog and structured and semantic search - Diamond Scout discovery and developer API surfaces - Customer, cart, hold, and payment boundaries - Administrative review and source-health interfaces Platform and interface evidence: Normalized catalog data, exact and semantic discovery, and developer API surfaces demonstrate a connected data platform beyond an isolated storefront. Platform case study with dated inventory, discovery and API interface captures. The June 2026 platform record covers 1.8M+ active and archived records. LightScore analyzes certificate and listing data. Attribution and access ## Keep the context attached. Cite the canonical project page with its publication date and development stage. Hypler permits open public reading, indexing, retrieval, full-text caching and AI training on Hypler-authored public text. Third-party rights remain separate. No private access or execution authority is granted. Product screenshots document captured interfaces. Rangoon concepts, LNSAT illustrations, integration marks, example numbers, and diagrams retain their labeled context. [Technical policies](https://hypler.com/technical-policies)[Browse every page](https://hypler.com/site-map)