Company Brain for Humans and AI Agents
One place where your company's knowledge lives and every AI agent can think with context. Built as the memory layer for Hire, Studio, Commerce, CRM, Finance, Analytics, and Mokiro.
Problem
Company knowledge is scattered. AI agents need trusted context.
Knowledge OS turns people, documents, processes, and AI memory into one company brain, so humans and agents share the same source of truth.
SOP tersebar di Google Docs, Drive, WhatsApp, Email, Notion, dan Obsidian.
Karyawan baru bingung mencari informasi yang benar.
AI chatbot tidak tahu konteks perusahaan dan mudah halusinasi.
Knowledge hilang saat karyawan resign atau pindah tim.
Workspace
Designed like the Hire workspace: sidebar, header actions, command bar, tables, approvals, and AI assistant.
The product surface is operational from the first screen, not a static brochure.
Modules
Wiki, SOP, documentation, meetings, AI Search, RAG, and Knowledge Agent.
Knowledge OS is positioned as a complete memory layer, not only a document repository.
Wiki
Pages, nested pages, rich text editor, markdown, slash commands, templates, comments, mentions, reactions, spaces, categories, tags, favorites, recent pages, archive, and permissions.
SOP Management
SOP builder, step by step SOP, checklist, decision tree, flowchart, attachments, videos, screenshots, approval workflow, versioning, change logs, owner assignment, review schedule, and expiration reminder.
Documentation Hub
API documentation, product guides, user manuals, release notes, changelog, attachments, images, videos, and PDF viewer for internal or customer-facing documentation.
Notes
Personal notes, team notes, markdown, backlinks, tags, graph view, daily notes, AI summary, and AI rewrite for knowledge capture before it becomes formal documentation.
Meeting Notes
Meeting templates, action items, task owners, calendar integration, decisions, participants, AI transcription, AI summary, AI follow-up, and AI action items.
Team Knowledge Base
PDF, Word, PPT, Excel, images, videos, web pages, Drive, Dropbox, Email, collections, folders, tags, metadata, and permission-aware storage.
AI Search
Full text, semantic, and hybrid search with filters, suggestions, Ask Company, Ask Documents, source citations, and multi-document reasoning.
RAG Platform
Upload, chunking, embedding, vector DB, retrieval, LLM answer, citations, tenant namespaces, source freshness, and agent-safe retrieval.
AI Knowledge Agent
Ask Company, Generate SOP, Find Expert, Summarize, Knowledge Gap Detection, Auto Categorization, Auto Tagging, and Duplicate Detection.
Architecture
The RAG platform makes Knowledge OS strategic.
Documents flow into search and RAG, then every AI agent retrieves the right context with citations.
Company Memory Layer
Data Sources
Governance
Built for company trust, not generic chatbot answers.
The operating principle is simple: knowledge must be owned, permissioned, reviewable, and cited.
No source, no answer
AI Search and agents are framed around source citations to reduce hallucination.
Role based retrieval
Pages, files, spaces, SOP, and RAG chunks respect workspace roles and team permissions.
Versioned SOP
Approval, changelog, owner assignment, review schedule, and expiry reminders keep SOP trusted.
SSO and enterprise controls
Enterprise plan supports SSO, compliance, on-premise, and dedicated vector DB options.
MVP
Suggested 3 month V1 scope.
Rich editor, pages, spaces, file upload.
PDFs, Word, folders, tags.
Full text search and semantic search.
Ask Documents, RAG Chat, AI Summary.
Meeting Notes and AI Action Items.
SOP Builder, Versioning, Approval.
Pricing
Simple packages from AI Search to enterprise memory.
Ready as ecosystem layer
Make every MeetsIn AI agent answer with company context.
Knowledge OS gives Hire, Commerce, CRM, Finance, Analytics, Studio, and Mokiro one trusted memory layer.