AI-Powered Knowledge Operating System for Modern Enterprises

KnowledgeOS unifies documents, AI chat, agents, workflows, RAG-powered knowledge retrieval, and enterprise governance in one secure multi-tenant platform. Built for teams that demand performance, control, and scale.

One Platform. Every Knowledge Need.

KnowledgeOS delivers 8 integrated platform modules built for enterprise scale.

📄

Document Management

Upload, process, OCR, chunk, and manage PDF, DOCX, CSV, and image files with full lifecycle tracking and tenant-safe storage.

🤖

AI Chat Engine

Streaming AI conversations with document context, source references, conversation history, model selection, and token tracking.

🔍

RAG Knowledge Base

Semantic vector search powered by Qdrant. Tenant-isolated embeddings with hybrid search, citation display, and re-indexing.

🧠

AI Agent Engine

Configurable agents for research, summarization, compliance, and custom workflows with execution logs and version control.

Workflow Automation

Visual workflow builder with AI, document, approval, API, and conditional steps. Schedule triggers, retry logic, and audit trails.

🔌

Plugin System

Embeddable chat widgets, search widgets, and document Q&A bots for external integration via JS embed, iframe, or NPM.

🛡️

Admin & Governance

Full admin panel with tenant management, role-based permissions, audit logs, LLM provider management, and queue monitoring.

🏢

Multi-Tenant Architecture

Complete tenant isolation across documents, vectors, conversations, workflows, plugins, and agents with quota and plan controls.

📱

Mobile Application

Native mobile access with full feature parity — AI chat, document access, agent execution, and workspace management on the go.

Built for Every Enterprise Use Case

From internal knowledge management to customer-facing AI assistants and compliance automation.

🏥

Healthcare Knowledge Management

Centralize clinical documents, medical guidelines, and compliance records. Enable AI chat over secure patient-safe document repositories.

⚖️

Legal Document Intelligence

Analyze contracts, policies, and case files with AI agents. Extract clauses, summarize documents, and search across thousands of PDFs instantly.

🏦

Financial Services Compliance

Automate compliance checks, audit trails, and regulatory document workflows. Strict tenant isolation meets financial data governance requirements.

🏭

Enterprise Internal Knowledge Base

Replace outdated wikis with a live AI knowledge system. Employees chat with company documents, processes, and institutional knowledge instantly.

📧

Customer Support Automation

Deploy embeddable AI chat widgets on your website or portal. Answer customer queries from your actual product documentation in real time.

🔬

Research and Analysis

Research agents that can search across large document libraries, synthesize information, and generate structured summaries with source citations.

Ready to Deploy KnowledgeOS?

Book a demo and see how KnowledgeOS can transform your organization's knowledge infrastructure in 30 minutes.

Why Enterprises Choose KnowledgeOS

Production-ready, not prototype. Built for security, scale, and governance from day one.

01

Zero Tenant Data Leakage

Every query, vector, document, conversation, and workflow is isolated per tenant. Multi-tenant safety is enforced at the database, vector, and API layer.

02

LLM Provider Flexibility

Connect Gemini, OpenAI, Claude, or Ollama. Configure fallbacks, rate limits, token budgets, and model selection per tenant or workspace.

03

Full Audit Trail

Every user action, AI request, document access, role change, workflow execution, and admin operation is logged with searchable audit logs.

04

RAG-Powered Accuracy

Answers are grounded in your organization's actual documents using Qdrant vector search with traceable source citations, not hallucinated responses.

05

Role-Based Governance

9 system roles, module-level permissions, route-level and API-level access control, and workspace-scoped document isolation built into every layer.

06

Queue-Backed Processing

All document processing, embedding generation, workflow execution, and agent runs happen through BullMQ queues with retry, monitoring, and logging.

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