1<!doctype html> 2<html lang="en" class="dark"> 3 <head> 4 <meta charset="UTF-8" /> 5 6 <title>Babylonân.ai â Where Every Token Knows Its Origin</title> 7 <meta name="description" content="LLM Provenance Attribution System. Token-level provenance, trust-weighted attention, immutable hash-chain registry." /> 8 <link rel="canonical" href="https://www.babyloon.ai" /> 9 <meta property="og:type" content="website" /> 10 <meta property="og:title" content="Babylonân.ai" /> 11 <meta property="og:description" content="LLM Provenance Attribution System. Token-level provenance, trust-weighted attention, immutable hash-chain registry." /> 12 <meta property="og:url" content="https://www.babyloon.ai" /> 13 <meta property="og:image" content="https://www.babyloon.ai/og-babyloon.png" /> 14 <meta property="og:image:width" content="1200" /> 15 <meta property="og:image:height" content="630" /> 16 <meta property="og:site_name" content="babyloon.ai" /> 17 <meta name="twitter:card" content="summary_large_image" /> 18 <meta name="twitter:title" content="Babylonân.ai" /> 19 <meta name="twitter:description" content="LLM Provenance Attribution System. Token-level provenance, trust-weighted attention, immutable hash-chain registry." /> 20 <meta name="twitter:image" content="https://www.babyloon.ai/og-babyloon.png" /> 21 22 23 <meta name="viewport" content="width=device-width, initial-scale=1.0" /> 24 25 <!-- Favicon --> 26 <link rel="icon" type="image/png" href="/icon.png" /> 27 <link rel="apple-touch-icon" href="/icon.png" /> 28 29 <!-- Primary meta --> 30 31 32 <meta name="theme-color" content="#0C1824" /> 33 34 35 36 37 <meta name="keywords" content="LLM provenance, AI attribution, token provenance, trust-weighted attention, hash-chain registry" /> 38
38<script type="module" crossorigin src="/assets/index-C1A_X487.js"></script>
38 39 <link rel="stylesheet" crossorigin href="/assets/index-Bhn2SRoL.css"> 40 </head> 41 <body class="bg-ink text-silver"> 42 <div id="root"> 43 <h1>Babylonân.ai</h1> 44 <p><em>where every token knows its origin</em></p> 45 <p>The first LLM provenance attribution system operating inside the inference pipeline. Every token. Every source. Every time.</p> 46 <h2>The Problem</h2> 47 <p>Todayâs LLMs are black boxes. When they generate text, thereâs no way to know which sources influenced the output, whether those sources are licensed, who authorized the query, or whether the result can be trusted.</p> 48 <h2>The Solution</h2> 49 <p>babyloon.ai operates inside the inference pipeline. Six patent-pending mechanisms work simultaneously during generation: provenance attribution, identity conditioning, trust weighting, live manifests, hash-chain registry, and safe fallbacks.</p> 50 <h2>Six Mechanisms. One System.</h2> 51 <p>Six terraces of the ziggurat. Six mechanisms. One inference pipeline.</p> 52 </div> 53 </body> 54</html>
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.