Our RAG systems instantly search for answers within your documentation while fully protecting your data and intellectual property.
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All information is protected using modern encryption methods, both at rest and in transit.
Aligning the model with your company’s specific tasks and workflows.
Connecting the model with internal documentation and systems to ensure responses reflect your business knowledge.
How implementing RAG protects your know-how
RAG systems operate on your infrastructure or in a private cloud, ensuring full control over sensitive documents and company knowledge. Data is encrypted, and access is carefully managed, keeping your company's know-how fully in your hands.
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The cost of a RAG system depends on the volume of data, the number of knowledge sources, and integration requirements with company infrastructure. We provide a tailored quote for each project to ensure the best value for your investment.
With our secure RAG systems, you maintain full control over your data, and the private AI Agent operates on your infrastructure or private cloud, ensuring the security of your information and company know-how.
Implementation time depends on the complexity of integration with internal systems and the amount of data to process. A typical process includes data and industry analysis, model preparation, knowledge base integration, and testing, usually taking a few weeks to several months.
Our secure RAG systems are designed so that the private AI Agent is ready to work in real business processes while maintaining full control over confidential documents and company know-how.
It is not necessary for all data to be fully structured before deployment. RAG systems can process documents in various formats and structures, enabling the private AI Agent to immediately support employees in finding information and analyzing knowledge.
We do recommend initial data organization to maximize answer accuracy and the efficiency of the AI assistant. This allows the system to deliver relevant, context-aware information in daily business operations.
No, the goal of a RAG system is to support the team, not replace it. Systems automate repetitive and time-consuming tasks like information retrieval, document analysis, or report generation.
This allows employees to focus on strategic decisions and creative tasks, increasing company efficiency while making full use of team skills with complete data security.

Oskar Pawlicki
Head Of Growth