Documents under control
The QTJ team indexes materials, selects metadata, controls versions and updates the knowledge layer from verified documents.
Private enterprise RAG
Company knowledge in AI answers — with sources, versions and quality control.
QTJ builds a private RAG layer on manuals, procedures, catalogues, machine documentation, service history and quality standards. The generative model is replaceable while knowledge and traceability stay under QTJ control.
RAG on company documentsAnswers with cited sourcesA complete trace for every answer
QTJ · Query · Trace · Judge
Private enterprise RAG
Private enterprise RAG on company documents with cited sources, quality control and a complete audit trail. EU Cloud or Private Cloud.
QTJ.ai · BREPO Sp. z o.o.Not another chatbot, but a controlled knowledge layer.
QTJ combines relevant-context retrieval, a selected language model and answer validation in one path.
No model lock-in
The layer can work with a local model, Claude or ChatGPT. Changing the engine does not remove company knowledge, logs or control rules.
From a question to an answer that can be verified.
Every request passes through Query, RAG-serve, Engine, Judge and Trace.
Sources and versions
The answer identifies the materials it is based on. Trace also records the document versions used at that moment.
Control before delivery
Judge checks source grounding, hallucination risk, sensitive data and procedural risk before the answer reaches the user.
Common questions
Does the client need to build RAG?
No. The client provides documentation and feedback, while the QTJ team prepares and maintains the knowledge layer.
Can the AI model be changed?
Yes. The model is a replaceable engine; knowledge, control rules and auditability remain in QTJ.
Where can the solution run?
A pilot is available in EU Cloud and a dedicated instance can run as Private Cloud. The on-prem variant is planned.
QTJ.ai
Book a pilot
QTJ builds a private RAG layer on manuals, procedures, catalogues, machine documentation, service history and quality standards. The generative model is replaceable while knowledge and traceability stay under QTJ control.
Book a pilot- E-mailqtj@qtj.ai
- BREPOMikołów · Poland