Founder thesis Strategic edge Tokenomics Revenue model Google attack plan Compliance and fraud controls Timeline and goals LLM monetization alignment Execution focus (next 12–18 months) Safe Harbor: This communication contains forward‑looking statements, including product plans, timelines, market share, revenue models, tokenomics, regulatory posture, and strategic outcomes. Actual results may differ materially due to risks including …
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The Fundamental AI Innovation Is Automating Knowledge Acquisition
The foundation of modern AI was established in 1999 by Intellisophic Founders Burch, Kon and Hoey The foundation was based on using the world’s reference corpora and text books to build a knowledge graph meta-data model based on Berners-Lee semantic web 3.0 using automation to overcome the cost barrier of using humans in the process. …
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Intellisophic: 21st Century Semantic AI Leader
BACKGROUND For over twenty-five years Intellisophic has supplied semantic data called taxonomies to customers in legal, health, national security and regulatory sectors. In response to 9/11, Intellisophic was competitively chosen to build the foundation of 21st centry counterintelligence systems providing global terrorist activity analysis based on open web intelligence. The reason was our invention and …
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How Intellisophic Disrupts the $20 Billion Data Labeling Market
Introduction: The Data Labeling Challenge In today’s AI-driven economy, high-quality training data represents both the greatest opportunity and the most significant bottleneck. With companies like Scale AI processing approximately 10 million annotations weekly through a hybrid human-AI approach, the data labeling market has grown to an estimated $20 billion industry. However, a fundamental shift is …
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SAM-1 AI Disruption: Semantic AI is Poised to Transform the Entire AI Industry
Executive Summary While the AI industry fixates on ever-larger language models and the latest GPU architectures, a fundamental disruption is already underway. SAM-1, the commercial Semantic AI Model from Intellisophic, represents not just an incremental improvement but a paradigmatic shift that could render current AI approaches obsolete. With proven deployment in national security, eDiscovery, and …
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LLM + SAM Integration via MCP and W3C RDF Protocol
Thinking… Claude-Sonnet-3.7-Reasoning Claude + SAM Integration via MCP and W3C RDF Protocol The example demonstrates how to connect Claude to the Semantic AI Model (SAM) using both the Model Context Protocol (MCP) and W3C RDF protocol for semantic knowledge exchange. Code at end How This RDF-Enabled Integration Works This enhanced implementation demonstrates a complete semantic …
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The Homonymy Problem: Why LLMs Don’t “Understand” Language
Thinking… Claude-Opus/4-Reasoning The Homonymy Test: Where the Facade Crumbles Consider a simple challenge: distinguishing between Lincoln the president, Lincoln the car brand, and Lincoln the tunnel. This isn’t an edge case—it’s a fundamental failure that exposes how LLMs actually work. Why homonymy breaks LLMs: During training, every instance of “Lincoln” adjusts the same weights, creating …
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AICYC: An Encyclopedia for LLM
PREAMBLE The encyclopaedia created by Denis Diderot during the Enlightenment period was a revolutionary work that played a pivotal role in the intellectual and cultural changes of the time. By democratizing knowledge and making it accessible to a wider audience, Diderot’s encyclopaedia contributed to the emergence of new ideas, innovations, and social movements that shaped …
SAM (Semantic AI Model) AdTech Strategy
Executive Summary: The Intellisophic AI strategy reframes the $1.5 trillion adTech market for next gen search around winning the AI race: dominate the most valuable, reachable segments with semantic targeting instead of chasing the entire market with another LLM. The product is a semantic DSP–SSP powered by a verified knowledge graph that matches advertiser intent …
From Grid to Cloud
TL;DR: In 2005 a grid of 10 Intel based PC with 512 Mb memory extracted semantic data from text at 50 docs per second. The database server was running Windows 2000 with Oracle 9 as the engine. The task was comparing words in documents to knowledge graph concepts with semantic tags. The GRID managed about …
