AI Solutions for Business — Self-Hosted, Privacy-Conscious
RAG chatbots, voicebots, LLM fine-tuning, and workflow automation: AI that works on your own data instead of sending it to a public service.

The Problem

Employees lose time searching for information scattered across documents, systems, and departments. Standard chatbots give inaccurate answers, and public AI tools like ChatGPT introduce real data privacy risk once internal or personal data is involved.

Our AI Solutions

RAG Chatbot for Internal Knowledge
We deploy a fully self-hosted chatbot built on Retrieval-Augmented Generation (RAG) that answers questions in real time — based exclusively on your internal data, with hybrid search (semantic plus keyword), OCR for scanned documents, role-based access control, and a source citation on every answer. For more complex, knowledge-intensive use cases, we extend this with contextual embeddings and reranking models.
Key Features:
  • Answers based exclusively on your internal data
  • Hybrid search (semantic + keyword)
  • OCR for scanned documents
  • Role-based access control
  • Source citation on every answer
  • Contextual embeddings and reranking for knowledge-intensive use cases
Ideal For:
  • Teams that lose time searching across documents, systems, and departments, and cannot send internal data to public AI tools.
AI Voicebot
A self-hosted voice assistant combines speech recognition, language understanding, and natural speech synthesis for real-time, multi-language interaction, including integration with your existing CRM and ticketing systems — without dependency on external voice APIs.
Key Features:
  • Speech recognition, language understanding, and natural speech synthesis
  • Real-time, multi-language interaction
  • Integration with your CRM and ticketing systems
  • Self-hosted, with no dependency on external voice APIs
Ideal For:
  • Customer service teams handling recurring phone inquiries who want to keep voice data in-house.
Self-Hosted LLM Service
We run open-source language models (e.g., Qwen, Llama, Mistral) entirely within infrastructure you control, with no dependency on external providers such as OpenAI. Depending on the use case, we adapt the model to your terminology using LoRA, QLoRA, or full fine-tuning. Typical use cases are data extraction, customer service, and document summarization. You get a model that knows your context instead of a generic one.
Key Features:
  • Open-source models (e.g., Qwen, Llama, Mistral)
  • Runs entirely within infrastructure you control
  • No dependency on external providers such as OpenAI
  • Adapted to your terminology via LoRA, QLoRA, or full fine-tuning
Ideal For:
  • Data extraction, customer service, and document summarization, especially where data must not leave your infrastructure.
Workflow Automation with AI Decision Logic
Workflow Automation with AI Decision Logic
Key Features:
  • Built on n8n
  • Connects CRM, email, databases, and APIs
  • Event-driven workflows
  • AI steps for classification, summarization, or routing
Ideal For:
  • Repetitive processes that span several systems and currently rely on manual handovers.

Our AI Implementation Process

Proven methodology for successful AI projects
Proven methodology for successful AI projects
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Cutting-Edge Technology
We work with the latest technologies to deliver future-proof solutions
Python
Python
Node.js
Node.js
Java / Spring Boot
Java / Spring Boot
ASP.NET Core
ASP.NET Core
FastAPI
FastAPI
React
React
Next.js
Next.js
Angular
Angular
VueJS
VueJS
PostgreSQL
PostgreSQL
AWS
AWS
Docker
Docker
Kubernetes
Kubernetes
LLM / Generative AI
LLM / Generative AI
RAG
RAG
Vector Search
Vector Search
Hugging Face
Hugging Face
OpenSearch
OpenSearch
vLLM
vLLM
PyTorch
PyTorch
Let's Build Something Amazing Together
Schedule a no-obligation call — we’ll listen to your requirements and tell you honestly whether and how we can help.