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Private AI System for Business

An AI assistant that knows all your company's documents — procedures, policies, price lists, contracts — and answers in 30 seconds. Your data never leaves the organisation.

1 week MVP launch time
−89% document search time

What is a private AI system?

A private AI system is a dedicated artificial intelligence environment running in company infrastructure (on-premise or private cloud) that allows employees to talk to company documents like an expert. RAG (Retrieval Augmented Generation) technology means AI answers questions based on current company documents — it doesn't make things up, it doesn't hallucinate.

Example: an insurance agent asks 'what are the policy conditions for contract X?' — the AI assistant searches hundreds of pages of documents and answers in 55 seconds instead of 8.5 minutes. A lawyer asks about precedents in the case archive — the assistant extracts relevant passages from 100,000 pages in 10 seconds.

Why a private AI system instead of ChatGPT?

Company and client data NEVER leaves the organisation — full control and GDPR compliance

AI knows current company knowledge: price list, procedures, policies, contracts, internal documents

No hallucinations: AI answers only based on your documents or admits it doesn't know

Individual employee accounts with different document access levels

Full audit log: who asked, what and what answer they received — AI Act requirement

Integration with existing systems: SharePoint, Confluence, Google Drive, own databases

How do we build a private AI system?

01

Document inventory

We collect documents for the knowledge base: PDFs, Word, Excel, wiki pages, databases. We assess data quality and structure.

02

Indexing and RAG pipeline

We build the pipeline: document chunking → embeddings → vector store → retrieval. Configure AI model (OpenAI API or on-premise open-source).

03

Interface and access

Web app accessible via browser or integration with Teams/Slack. Login via company SSO (Azure AD, Google Workspace).

04

Access control

Configure permissions: department A sees department A documents, doesn't see department B documents. Full access logs.

05

Knowledge base updates

Admin panel for adding and updating documents. Changes active within minutes. No developer involvement needed.

Who is a private AI system for?

For companies where knowledge is a key asset and there are too many documents to memorise.

Deployment cost

MVP (basic RAG, up to 1,000 documents): from 8,000 PLN net, 1–2 week deployment. Advanced system (multiple departments, SSO integrations, permissions): from 18,000 PLN net, 4–8 weeks. Hosting and maintenance: from 800 PLN/month.

Frequently asked questions about private AI systems

RAG (Retrieval Augmented Generation) is a technique where AI searches the document base before answering and uses found passages as context. AI answers ONLY based on your documents. If information isn't there — it says 'not found'. It doesn't make things up.
Depending on configuration: thousands to millions of pages. We've tested RAG on 100,000 pages of legal documents — response time 5–15 seconds. The key is chunking and embeddings quality, not just document count.
We offer two options: (1) on-premise — entire system on your servers, zero external data, (2) private cloud — private tenant on AWS/Azure with your data. We don't use shared SaaS cloud.
MVP (up to 1,000 documents, 1 department): from 8,000 PLN net, 1–2 week deployment. Advanced system: from 18,000 PLN net, 4–8 weeks. Monthly maintenance (hosting, updates, support): from 800 PLN net/month.
Admin panel allows uploading a new document or updating an existing one via drag & drop. Changes active within minutes. Automatic synchronisation with SharePoint or Google Drive available.
Yes — we design with full audit log (who, when, what question, what answer), data retention policy and documentation required by AI Act. For high-risk classified systems we prepare full technical documentation.

Build a private AI system for your company

Tell us how many documents you have and in what format — we'll prepare a demo on your data within 48 hours.