On-Premise Product

KnowledgeAI Enterprise

Enterprise Chat That Queries Your Documents - On-Premise

Your documents never leave your company. RAG technology that reduces hallucinations by 70-90%, responses based on verifiable sources, granular access control.

-70% Hallucinations Data On-Premise Verifiable Sources Role-Based Access

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KnowledgeAI - AI that learns from your enterprise documentation

RAG = Searches your documents

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Generates verifiable answers

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Zero hallucinations

KnowledgeAI Enterprise Use Cases

Your corporate knowledge base becomes accessible through an intelligent chat, keeping every document secure on your servers.

Internal Knowledge Base

Employees query procedures, company policies and best practices in natural language instead of searching through documents.

Standard operating procedures
HR policies and regulations
New employee onboarding
Automated internal FAQs
Cross-department search

Technical Documentation

Technicians and engineers quickly find specifications, manuals and technical diagrams without browsing through hundreds of PDFs.

Product manuals and datasheets
API and code documentation
Guided troubleshooting
Project specifications
Drawings and CAD archive

Contracts & Legal

Legal and sales teams query contracts, clauses and precedents to quickly respond to customers and suppliers.

Specific clause search
Contract comparison
Expiries and renewals
Automatic compliance check
Templates and models

HR Support

Employees get answers about leave, benefits, reimbursements and policies without contacting the HR office.

Labor agreements and regulations
Leave and permission policies
Benefits and corporate welfare
Reimbursement procedures
Employee FAQs

Business Intelligence

Managers query reports, market analysis and historical data to make informed decisions quickly.

Sales and performance reports
Competitor analysis
Market trends
Historical KPIs
Forecasts and predictions

Internal Customer Support

Customer service operators quickly find answers in the knowledge base to assist customers in real-time.

Product and service FAQs
Troubleshooting guides
Similar ticket history
Escalation procedures
Response scripts

How RAG Technology Works

RAG (Retrieval Augmented Generation) combines semantic search in your documents with AI generation for accurate and verifiable responses.

1

Document Indexing

Your documents (PDF, Word, email, database) are processed and indexed in a local vector database. Each text fragment becomes semantically searchable.

2

Semantic Search

When you ask a question, the system searches your documents for the most relevant passages, even if they don't contain the exact words from your question.

3

Context-Aware Generation

The AI model generates the response using ONLY the information found in your documents. Every statement is traceable to the original source.

4

Response with Citations

You receive the complete response with links to source documents. You can verify every piece of information by clicking on the reference.

Generic ChatGPT

❌ Invents plausible information
❌ Doesn't know your documents
❌ Data sent to cloud
❌ No verifiable source

KnowledgeAI RAG

✅ Answers only from real sources
✅ Uses your company documents
✅ Everything on-premise
✅ Every response with citation

KnowledgeAI Enterprise Packages

Transparent pricing based on users and storage. No per-query cost.

TEAM

30,000 EUR

For teams and departments starting with RAG

Up to 50 users
10GB indexed documents
Basic formats (PDF, Word, Excel)
Web interface
Email support
Team training (4 hours)

Hardware not included

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Save with the Bundle

Combine KnowledgeAI + VoiceAI On-Premise and get 15% off the total

Discover VoiceAI

Ready to Unlock Your Knowledge Base?

Request a personalized demo and discover how KnowledgeAI Enterprise can transform access to company knowledge - with data that always stays under your control.

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