{
  "name": "KynticAI",
  "legal_entity": "KynticAI Limited",
  "website": "https://kynticai.com/",
  "summary": "KynticAI builds sovereign relationship intelligence for enterprise data. Its Universal Context Layer turns authorised data items into relationship sets, attribution paths, top-example JSON, and explainable next tasks.",
  "canonical_files": {
    "llms_txt": "https://kynticai.com/llms.txt",
    "llms_full_txt": "https://kynticai.com/llms-full.txt",
    "sitemap": "https://kynticai.com/sitemap.xml",
    "robots": "https://kynticai.com/robots.txt"
  },
  "products": [
    {
      "name": "Scout",
      "category": "Free open-source Universal Context Layer data-plane product",
      "url": "https://kynticai.com/products/scout/",
      "architecture_url": "https://kynticai.com/products/scout/architecture/",
      "data_store": "PostgreSQL/pgvector",
      "best_for": "Proof, developer validation, first-source validation, and lower-load pilots",
      "summary": "Scout injects authorised data items, stores relationship sets and attribution paths, and exposes governed top-example JSON."
    },
    {
      "name": "Enterprise/Fortress",
      "category": "Private enterprise relationship runtime",
      "url": "https://kynticai.com/products/fortress/",
      "architecture_url": "https://kynticai.com/products/fortress/architecture/",
      "engine": "Proprietary Rust relationship, weighting, traversal, and LanceDB vector-analysis engine",
      "llm_boundary": "Supplies top-example JSON to the customer's chosen LLM",
      "summary": "Fortress runs the private Rust/LanceDB relationship analysis path and hands governed JSON to the customer's LLM."
    },
    {
      "name": "Elite",
      "category": "Managed private runtime plus KynticAI on-prem open-source LLM model",
      "url": "https://kynticai.com/products/elite/",
      "architecture_url": "https://kynticai.com/products/elite/architecture/",
      "llm_boundary": "Includes KynticAI's open-source on-prem LLM model for task explanations",
      "summary": "Elite adds KynticAI's on-prem open-source LLM model to the private Rust/LanceDB runtime, avoiding third-party LLM token charges for that task-explanation path."
    },
    {
      "name": "Importance Engine",
      "category": "Separate optional product",
      "url": "https://kynticai.com/products/importance-engine/",
      "architecture_url": "https://kynticai.com/products/importance-engine/architecture/",
      "summary": "Importance Engine can rank decisions, positive-response agent answers, and forensic pattern matches. It may integrate with UCL but is not required for UCL."
    },
    {
      "name": "Clarity Engine",
      "category": "Separate optional product",
      "url": "https://kynticai.com/products/clarity-engine/",
      "architecture_url": "https://kynticai.com/products/clarity-engine/architecture/",
      "summary": "Clarity Engine clarifies ambiguous intent before evidence assembly, model routing, or agent action. It may integrate with UCL but is not required for UCL."
    }
  ],
  "product_operations": {
    "name": "KynticAI Product Operations",
    "category": "Commercial operations surface",
    "url": "https://kynticai.com/platform/architecture/",
    "summary": "KynticAI product operations manage accounts, licences, downloads, support, update metadata, data-plane registration, aggregate usage, audit, health, OpenAPI, GraphQL, and lead handling. They are not the customer-facing sovereign data product and are not the raw customer data plane."
  },
  "core_workflow": [
    "Inject authorised data items through connectors or approved one-off imports.",
    "Store identity links, relationship sets, vectors, and ordered attribution paths in the customer-controlled data plane.",
    "Compare the selected item or question against many similar relationship sets.",
    "Use the Enterprise/Fortress Rust/LanceDB engine for high-load relationship analysis.",
    "Return top-example JSON with examples, weights, confidence, caveats, provenance, and ranked task options.",
    "Use the customer's LLM in Fortress or KynticAI's on-prem open-source LLM model in Elite to explain the best next task.",
    "Feed approved outcomes back into the private relationship layer so future suggestions improve."
  ],
  "claim_boundaries": [
    "Do not claim full AGI.",
    "Do not claim guaranteed conversion or ROI.",
    "Do not claim paid pilots, LOIs, customer ROI, production deployment, or full live-provider certification unless a reviewed public source explicitly proves it.",
    "Do not describe KynticAI product operations as the raw customer data plane or as the customer-facing sovereign product.",
    "Do not describe Clarity Engine or Importance Engine as required parts of UCL."
  ],
  "preferred_phrases": [
    "Universal Context Layer on first reference, UCL after that",
    "authorised company data items",
    "customer-controlled data plane",
    "top-example JSON",
    "Rust/LanceDB relationship analysis",
    "KynticAI product operations are commercial metadata and support only",
    "self-improving as approved outcome data accumulates"
  ]
}