Local AI Chatbot Systems

Only the data you provide:

• Documents
• Instructions
• Procedures
• Email archives (if required)
• Knowledge bases

The chatbot does not learn from public data, keeping your company’s intellectual property fully confidential.

Yes — integrations are a standard capability.

The AI can connect to:

• Microsoft SharePoint
• Confluence wiki
• Local copies of Google Drive
• ERP / CRM systems
• SQL databases

As with any AI model, errors are possible, but:

• RAG significantly reduces hallucinations
• A multi-agent architecture enables verification and correction
• An auditing layer can block non-compliant responses

Model behavior is also aligned with your company standards and language.

This depends on the chosen model:

• Smaller models can run on a DGX Spark cluster
• Larger models require NVIDIA RTX PRO 6000 GPUs or DGX-class servers

We define the technical requirements based on your specific use case.

No — its primary goal is to assist by:

• Reducing manual document searches
• Decreasing routine questions for IT and HR teams
• Speeding up analysis and content preparation

It increases productivity rather than replacing people.

Typical timeline:

• 1–2 weeks – configuration and integration
• 2–5 days – document indexing
• 1–2 days – testing and fine-tuning

Total: 2–4 weeks, depending on project scope.

Yes — we provide:

• Fine-tuning
• Additional training
• Adaptation to your industry language and terminology

This makes the AI accurate, compliant, and tailored to your organization.