Applied artificial intelligence
Artificial intelligence stops being an experiment when it solves a concrete problem with your data, in your environment and with measurable results. That is my turf: integrating AI into real systems without your information leaving your infrastructure.
What I can build for you
- Private RAG — ask your documentation (manuals, procedures, contracts, regulations) and get answers that cite the source, with the indexes running on your servers.
- Enterprise chatbots — assistants that know your products, your policies and your tone, connected to your website, your intranet or WhatsApp.
- Internal assistants — semantic search over your files, file summaries, support for customer service and admin teams.
- Model evaluation and selection — which model performs best for your case, at what cost and with what level of privacy. No smoke: tests with your own data.
Privacy by design
The models can run 100% on your infrastructure (on-premise) or in the cloud with explicit guarantees. Your data never feeds third-party services nor trains foreign models. And if the case does not justify AI, I'll tell you too: sometimes a good index and decent search are worth more than a model.
Related
This area fits with local models and LLMs and with AI agents and MCP.
Do you have accumulated documentation nobody reads? Let's talk and we'll set up a pilot.