{ "schemaVersion": 1, "reviewedOn": "2026-10-10", "company": { "name": "Hypler", "legalName": "Hypler LLC", "url": "https://hypler.com", "location": "Las Vegas, Nevada, United States", "summary": "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.", "email": "contact@hypler.com", "phone": "+1-702-518-3717", "terminology": { "current": "Super Intelligence (SI)", "earlier": "Artificial Intelligence (AI)", "explanation": "Hypler adopts SI-first language for its engineering direction. Earlier AI terminology remains in historical sources, vendor names and stable URLs. Product capability claims remain tied to measured evidence.", "url": "https://hypler.com/super-intelligence" } }, "capabilities": [ { "name": "SI infrastructure", "description": "Capability workspaces, agent and model interfaces, workflow composition, evaluation, and explicit execution boundaries." }, { "name": "Complex software", "description": "Customer-facing products, internal tools, APIs, and phased modernization of existing applications." }, { "name": "Data and integration", "description": "Supplier and source ingestion, normalization, structured and semantic retrieval, commerce APIs, and source-health visibility." }, { "name": "Execution and evidence", "description": "Policy-aware action design, scoped approval, testable changes, audit records, and operational handoff." } ], "method": [ "Understand the current system with the people responsible for it: workflows, source data, ownership, constraints, and failure modes.", "Use OpenAI tools for research and product reasoning, and Codex for repository-grounded implementation and evidence. Use other agents for bounded tasks and fresh review.", "Define a useful, testable release. Keep architecture, sensitive data, credentials, consequential actions, and release authority under human ownership.", "Validate the result and hand over code, operational context, known limits, and the next useful increment." ], "projects": [ { "id": "rangoon", "name": "Rangoon", "category": "SI capability infrastructure", "stage": "In development", "evidence": { "level": "Interface design evidence", "example": "The command center, workflow composer, and skill registry concepts show how related SI capabilities can be made inspectable in one workspace.", "limit": "Interface concepts demonstrate capability composition and review workflows." }, "url": "https://hypler.com/projects/rangoon", "website": "https://rangoon.ai", "summary": "A modular SI capability workspace for agent profiles, skills, workflows, connectors, model targets, tests, and versioned artifacts.", "features": [ "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" ], "boundary": "In development: capability composition, interface design, compatibility planning and evaluation.", "images": [ { "path": "/assets/rangoon-command-center.webp", "caption": "Rangoon command center interface concept." }, { "path": "/assets/rangoon-workflows.webp", "caption": "Rangoon workflow composition interface concept." }, { "path": "/assets/rangoon-skills.webp", "caption": "Rangoon skill registry interface concept." } ] }, { "id": "lnsat", "name": "LNSAT", "category": "Execution authorization and evidence", "stage": "In development", "evidence": { "level": "Pre-release source evidence", "example": "Versioned action packets, scoped approvals, and receipt/reconciliation contracts demonstrate how capability can be separated from permission and execution outcomes.", "limit": "Pre-release source covers packet validation, scoped approvals and outcome reconciliation." }, "url": "https://hypler.com/lnsat", "website": "https://lnsat.com", "source": "https://github.com/hypler-dev/LNSAT", "summary": "A policy-governed authorization and evidence layer for consequential agent actions.", "features": [ "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" ], "boundary": "Public source 0.1.0, pre-release. Execution authority is evaluated for each action packet and recorded with its outcome.", "images": [ { "path": "/assets/lnsat-github-2026-10-05.webp", "caption": "LNSAT public source repository, October 5, 2026." }, { "path": "/assets/lnsat-evaluation-harness.webp", "caption": "LNSAT evaluation architecture." } ] }, { "id": "vusl", "name": "VUSL", "category": "Semantic interoperability specification", "stage": "In development", "evidence": { "level": "In development", "example": "Cross-platform semantic interoperability, with Rangoon as first consumer.", "limit": "Standalone library and integrations remain in development." }, "url": "https://hypler.com/vusl", "website": "https://hypler.com/vusl", "summary": "VUSL is a shared language for describing capabilities, observations and relationships across software platforms while preserving each system’s meaning and origin.", "features": [ "Shared descriptions across platforms", "Native meaning and origin preserved", "Rangoon as first consumer", "Independent core planned" ], "boundary": "In development. Shared core and platform integrations are planned work.", "images": [ { "path": "/assets/vusl-semantic-ribbons.webp", "caption": "Generated conceptual VUSL illustration." }, { "path": "/assets/vusl-logo-dark.png", "caption": "Dark transparent adaptation of the VUSL project logo; AI-generated artwork." } ] }, { "id": "izios", "name": "IZIOS", "category": "Product data and API infrastructure", "stage": "Documented platform case study", "evidence": { "level": "Platform and interface evidence", "example": "Normalized catalog data, exact and semantic discovery, and developer API surfaces demonstrate a connected data platform beyond an isolated storefront.", "limit": "Platform case study with dated inventory, discovery and API interface captures." }, "url": "https://hypler.com/projects/izios-diamond-platform", "website": "https://izios.com", "summary": "Hypler-developed diamond data infrastructure connecting supplier inventory, product evidence, discovery, and reusable retail APIs.", "features": [ "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" ], "boundary": "The June 2026 platform record covers 1.8M+ active and archived records. LightScore analyzes certificate and listing data.", "images": [ { "path": "/assets/izios-inventory-2026-10-05-redacted.webp", "caption": "IZIOS inventory operations, October 5, 2026." }, { "path": "/assets/izios-diamond-discovery.png", "caption": "IZIOS diamond discovery interface." }, { "path": "/assets/izios-developer-platform.png", "caption": "IZIOS developer platform interface." }, { "path": "/assets/izios-ai-search.png", "caption": "IZIOS AI-assisted search interface." } ] } ], "access": { "policy": "https://hypler.com/technical-policies", "privacy": "https://hypler.com/privacy-policy", "terms": "https://hypler.com/terms-of-service", "summary": "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.", "citation": "Cite the canonical project page with its publication date and development stage." } }