AI Integration
Dacnis integrates artificial intelligence into business software: chat assistants that answer from your own documents (RAG), document and email automation, semantic search and predictive analytics. We connect models such as GPT, Gemini and Claude to your data with privacy controls, so your information is never used to train public models.
Capabilities
What we deliver
Large language model (LLM) integration: GPT, Gemini, Claude
Retrieval-augmented generation (RAG) on company knowledge
Chatbots and customer support assistants
Workflow and document automation
Predictive analytics and business intelligence
Computer vision and image processing pipelines
Process
Our step-by-step process
Feasibility study
We find where AI saves time or money and estimate the return.
Data preparation
Cleaning, structuring and securing the data the model will use.
Model and prompt design
Prompts, RAG pipelines or fine-tuning, chosen for the use case.
API and integration
Back-end endpoints that connect the model to your apps.
Monitoring
Tracking answer quality, cost and user feedback after launch.
FAQ
Common questions
Can Dacnis integrate ChatGPT, Gemini or Claude into our product?
Yes. We integrate large language models with structured outputs for support assistants, content generation, document processing and semantic search.
How is our data protected when we use AI?
We use enterprise API settings that exclude your data from model training, keep processing inside defined cloud regions and, when needed, deploy open models on your own servers.
What is RAG (retrieval-augmented generation)?
RAG lets an AI model answer from your own manuals, databases or documents instead of general knowledge. It gives precise, sourced answers and greatly reduces made-up responses.
Other services
Ready to start your AI Integration project?
Send us a short brief and a technical lead will reply within one business day.
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