Capture
Upload wiki, SOP, docs, meeting notes, support answer, and project files with source owner.
Company brain with citations
Make company knowledge answerable.
Turn SOPs, documents, citations, and reviews into a governed memory layer for AI agents.
Retrieval map
Sources, citations, owners, and AI answers stay connected to permissioned documents.
interactive
WikiSOPPDFCitationAgent
18.4k
knowledge objects
96%
source coverage
RAG
citation ready
Audit
retrieval scoped
Source trust
The page now shows how knowledge becomes reliable.
Knowledge needs more than upload. It needs source ownership, permission, freshness, and a review path before it becomes AI context.
Prepare
Normalize title, summary, permission, freshness, source type, and review cadence.
Retrieve
Answer only from allowed sources and expose citation trail to the user.
Improve
Feedback, correction, stale alerts, duplicate merge, and knowledge gap reports.
Owner set
Freshness checked
Citation ready
Source system
Knowledge is a map of trusted sources, not a folder dump.
The page now explains source ownership, retrieval quality, citation, permission, and review lifecycle as the core product.
Knowledge spaces
Company, product, SOP, support, team, and project knowledge with owner and permission boundary.
Source repository
PDF, Word, spreadsheet, slide, image, meeting notes, wiki, metadata, and freshness state.
AI Search
Semantic retrieval, citation, access-aware answer, answer feedback, and quality review.
RAG quality layer
Chunking, embedding metadata, freshness, retrieval score, duplicate detection, and gap report.
Knowledge Agent
Ask Company, generate SOP, summarize, find expert, classify, and create review tasks.
Question scope
The user role, product area, and source permissions are checked before retrieval.
Citation check
Each answer returns the supporting source so reviewers can verify the claim.
Correction loop
Wrong or incomplete answers become source review tasks, not hidden chat noise.
Answer quality is a workflow.
The page now separates retrieval, citation, correction, and review so Knowledge does not look like a generic chat product.
Interactive source lab
Every document earns trust first
Source harus punya owner, permission, freshness, dan metadata sebelum dipakai AI Search.
01
Owner assigned
02
Permission mapped
03
Freshness checked
04
Index approved
RAG quality
A useful answer needs source, permission, and freshness.
Knowledge product value comes from the path behind the answer. Users need to know why a response can be trusted.
Source reference
Answer links back to approved wiki, SOP, document, or note.
Permission scope
Retrieval only uses sources the current user is allowed to read.
Freshness state
Stale or unreviewed source can be flagged before it reaches AI answers.
Feedback loop
User correction creates review signal and improves future retrieval.
Pricing
Plans follow source volume, AI search, and governance depth.
Starter covers the first knowledge base. Growth adds RAG readiness and governance. Pro unlocks Knowledge Agent and advanced audit.
Starter
Rp199k/bulan
Wiki, SOP, repository awal, dan basic AI Search untuk tim kecil.
5 users
10 GB storage
Basic AI Search
Wiki and SOP
Best for RAG
Growth
Rp599k/bulan
RAG, connector readiness, governance, and team workspace.
25 users
50 GB storage
Citation ready RAG
Source connector readiness
Pro
Rp1.500k/bulan
Knowledge Agent, API, advanced audit, and governance for company brain.
Unlimited spaces
Knowledge Agent
API access
Advanced audit
MeetsIn Knowledge