AI where it saves time and money
AI & automation
We deploy AI into specific business processes — not as a footer chatbot, but as a worker that reads documents, checks data and saves hours of routine work every day.
Discuss your projectThe problem we solve
Most companies sense AI could help them but have no safe way to connect it to their data and processes. Pilots end with a generic chat that knows no company context and cannot be trusted with anything important.
Typical scenarios
- document and invoice extraction — reading, matching, error checking
- classification and routing of requests (e-mails, tickets, leads)
- summaries of meetings, documentation and materials
- AI agents on top of internal systems — with permissions and audit
- anomaly detection in data and predictive overviews
Security and operations
Every AI deployment has clear boundaries — permissions, limits and an audit trail. We never send sensitive data to models without consent, and choose cloud, an EU region or fully local operation as needed.
How we work together
We start with analysis and a solution proposal with a quotation, continue with architecture and staged development, and finish with acceptance and deployment — which we then operate long-term. The whole process is described on the home page.
Technologies
Cloud models (OpenAI) as well as local ones (Ollama — Llama, Mistral, Qwen), the Qdrant vector database for company knowledge search, integrated into .NET and Laravel systems.
- OpenAI
- Ollama
- Qdrant
- .NET
- Laravel
Frequently asked questions
Where does it make sense to start with AI?
Where people read, retype or sort things by hand today — invoices, documents, requests. We design the first deployment to pay for itself in saved time.
How do you keep AI from making things up?
Our AI works over verified company data (RAG), with defined sources and control steps. Critical decisions are always confirmed by a person.
Does our data have to go to the cloud?
No. We can deploy fully on-premise on your infrastructure — see Private AI & RAG.



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