Core Technology

Knowledge-based avatars that emulate expert reasoning.

MyOS isn't a talking head. It's a knowledge engine wrapped in a human-like persona, built to reason like your best expert and improve with every conversation.

  • Reasoning Replication

    Avatars emulate expert reasoning, not just appearance, grounded in the source material your experts approve.

  • Reinforcement Feedback Loop

    Every interaction is summarized and stored, surfacing where learners struggle so the system keeps improving.

  • Multi-Domain Platform

    A publisher and subscriber architecture lets one expert's knowledge reach many institutions and domains.

Knowledge Graphs

How MYO'S creates knowledge graphs.

MYO'S organizes scattered institutional knowledge into a living graph, so avatars can understand how information, responsibilities, procedures, and decisions connect.

  • Convert unstructured data

    MYO'S turns policies, manuals, transcripts, SOPs, and training files into structured entities and relationships.

  • Connect operating knowledge

    The graph links people, documents, procedures, expertise, and decisions so the avatar understands context, not just keywords.

  • Reason through the graph

    When a user asks a question, the avatar follows the right relationships, retrieves approved evidence, and gives a grounded answer.

Visual graph examples

From scattered inputs to connected intelligence.

A user question can move through linked source material, expert ownership, procedures, and prior decisions before the avatar responds. The graph keeps answers explainable and grounded in the organization's approved knowledge.

Visual example of an interactive knowledge graph

Intelligence Stack

The layers that turn knowledge into human interaction.

MYO'S connects retrieval, voice, and avatar delivery into one system, so organizations can give users source-grounded answers through a natural expert interface.

  • LLM + RAG

    Retrieval-Augmented Generation

    MYO'S combines large language models with retrieval from approved enterprise knowledge, so Ed's answers are generated from the right source material instead of loose model memory.

    • Enterprise document search
    • Hallucination reduction
    • Source-grounded responses
  • Audio-Based Human Interaction

    Human-like conversations

    Users interact naturally through voice, making expert knowledge feel closer to a real conversation than a static search box.

    • Voice input/output
    • Personalized avatars
    • Natural back-and-forth dialogue
  • AI Avatar Layer

    Digital experts

    The avatar layer turns institutional knowledge into a recognizable expert presence that can teach, guide, assess, and answer in the organization's own context.

    • Personalized delivery
    • Organization-specific knowledge
    • Consistent expert guidance