Ground AI with Enterprise Context
The Corporate Memory & Context Layer
Consolidates all unstructured, semi-structured, and structured data into a single HITL semantic memory layer, powered internally by the OntoCore relationship and taxonomy engine.
Why Fragmented Enterprise Knowledge Holds AI Back
Critical knowledge is scattered across documents, conversations, databases, and systems — making it harder to find, connect, and use in context.
Knowledge Buried in Documents
Complex files, SOPs, and policies remain difficult to search and retrieve.
Context Lost Across Conversations
Emails, chats, tickets, and meetings leave important business context fragmented.
Operational Data Remains Disconnected
Live back-office data stays separated from front-line AI and decision-making.
Relationships Lack Structure
Without taxonomy, business rules, and entity relationships, AI struggles to connect information across sources.
CORE CAPABILITIES
Build a Unified Enterprise Memory
Knowledge brings these sources together through DocIQ, CommsIQ, DataIQ, and OntoCore — creating a unified enterprise memory for AI.
DocIQ
Unstructured Memory
Ingests and interprets unstructured corporate files, parsing complex PDFs, Word files, Excel spreadsheets, and Google Drive resources while vectorizing content to make internal SOPs, policies, and documents instantly searchable.
CommsIQ
Conversational Memory
Monitors and extracts context from real-time communication streams, including inbox emails, support tickets, Slack, Microsoft Teams, WhatsApp, WeChat, Telegram, and live meeting recordings.
DataIQ
Structured Memory
Connects directly to enterprise systems of record through secure integration with SQL and NoSQL transactional databases, live operational sheets, and backend enterprise application data.
Embedded Engine: OntoCore
The Semantic & Relational Sub-Layer
Maps institutional taxonomy, business logic, and relationships across KnowledgeCore data through GraphEngine for entity relationships, SchemaEngine for domain taxonomies and business rules, and VectorEngine for semantic indexing.
INDUSTRIES
Connected Knowledge Across Industries
Powered by Four Connected Cores
Knowledge, as the Corporate Memory & Context Layer within the iMBrace Enterprise AI OS, consolidates unstructured, semi-structured, and structured data into a single semantic memory layer, powered by OntoCore.
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