Private AI Knowledge Product
Wisdom 360 transforms approved company information into a private AI knowledge assistant. Users select the relevant knowledge base, ask a question, and receive structured responses supported by approved source evidence. When the available knowledge does not support a claim, the system is designed to refuse rather than guess.
Authorized teams can ingest websites, sitemaps, PDF, DOCX, TXT, Markdown, JSON, CSV, and XLSX sources. Live ingestion status, draft review, testing, activation, extension through a Draft copy, source-integrity review, duplication analysis, deactivation, and permanent deletion support a controlled knowledge lifecycle.
Wisdom 360 combines semantic vector retrieval with keyword fallback and can use local Ollama integration for private AI-generated answers. Before retrieval, question assistance can recommend clearer wording, explain weak context, preserve the original wording and revision history, or leave an already clear question unchanged.
Conversation history, archiving, a visible answer-generation process, approved-source panels, feedback, human-assistance pathways, responsive chat, and authorized supervision tools help users understand both the answer and the evidence behind it.
Wisdom 360 is intended to reduce time spent searching documents and internal systems, provide consistent answers from reviewed information, help employees find policies and operational guidance, and reduce repetitive internal support requests.
Its private deployment model keeps sensitive organizational knowledge within the customer's controlled environment.
Request a demo Discuss your knowledge use caseProduct Screens
These screens show the supplied Wisdom 360 interface, conversation flow, source evidence, and authorized supervision views.
Wisdom 360 is an enterprise AI knowledge assistant for approved company information. Its documented interface combines knowledge administration, grounded conversations, source evidence, and private deployment options so teams can review both the answer and the information behind it.
An internal company AI assistant should help users find approved information without pretending to know facts that are absent from the source collection. Wisdom 360 lets users work with the relevant knowledge base and presents structured answers supported by source evidence.
As a RAG knowledge management system, it connects the user experience to the administration of the underlying information. The product page's screenshots show conversation, evidence, and supervision views; they do not imply a guaranteed answer quality for every new document collection.
The documented ingestion options include websites and sitemaps, PDF, DOCX, TXT, Markdown, JSON, CSV, and XLSX. Multiple knowledge bases allow teams to organize approved information for different subjects and use cases.
Live ingestion progress, cancellation, cleanup, draft review, and testing support preparation before activation. An existing collection can be extended through an independent draft copy. Source permissions, extraction quality, and the intended update process still need review for each deployment.
Wisdom 360 combines semantic vector retrieval with keyword fallback and supports local Ollama integration. The grounded AI knowledge system uses approved evidence to support answers and is designed to refuse unsupported claims rather than guess.
Source panels let users inspect supporting information. Structured responses and question assistance help make the interaction more useful, while human-assistance pathways provide an option when the available knowledge cannot resolve the request.
Administrators can review chunks, metadata, vectors, and source integrity. Duplicate, redundant, and ambiguous-content analysis helps identify material that needs attention. Activation, deactivation, and deletion form part of the documented knowledge lifecycle.
Role-based administration, user and session management, audit history, and authorized supervision support operational control. A private AI knowledge base also needs an agreed policy for source ownership, access, backups, retention, and updates.
Choose a product assessment when the documented capabilities match the intended knowledge workflow. Choose RAG development services when ingestion, permissions, interfaces, or integrations require custom engineering.
Enterprise AI consulting can establish readiness and priorities. AI implementation services covers the surrounding application, deployment, evaluation, and operational handover. Bring sample sources, expected questions, access rules, and infrastructure requirements for a useful discussion.
Its documented scope includes knowledge ingestion and governance, retrieval, grounded conversations, source evidence, administration and supervision.
The documented deployment options include customer-controlled infrastructure and local Ollama integration. Hardware and operational requirements must be assessed.
No. Source quality, retrieval, evaluation and user review remain important. The product is designed to use evidence and refuse unsupported claims.
Share the current workflow, systems, constraints, and result you want to review. We will discuss an appropriate scope and the inputs it needs.
