A short review of your processes, data and risks that ends in a ranked list of AI use cases and a plan for the first pilot.
You getAI assistants for support, sales and internal teams. They answer from your own content, on your website, WhatsApp or internal tools, and hand over to a person when needed.
You getRAG (retrieval-augmented generation) lets AI answer from your own documents and show its sources, instead of guessing. Your team asks in plain language and gets a cited answer.
You getMCP (Model Context Protocol) is an open standard that connects AI clients such as Claude and ChatGPT to tools and data. We build MCP servers so these assistants can read and act on your product safely.
You getFor data that can’t leave your company. We run open AI models on your own hardware or private cloud, and fine-tune them on your examples so they use your terms, tone and formats.
You getWe set up the private cloud too → Cloud & DevOps
We look at your processes and pick the one use case with the clearest payoff.
We build it small, on real data, with a clear measure of success agreed up front.
If the pilot works, we connect it to your systems and train your team.
We review answers and usage, fix gaps and add the next use case.
When data can’t leave your company, the model runs on your own servers. Otherwise we use business AI services that don’t train on your data.
The AI sees only what the person asking is allowed to see.
Answers show where they came from, so your team can check them.
Sensitive actions and unclear questions go to a human.
We prepare KVKK and data-handling notes with you; final legal sign-off stays with your legal advisor.
Open models on your own hardware or private cloud. Nothing leaves your network.
Fine-tuned on your own examples, so it uses your terms, tone and formats.
Where your rules allow, business AI services that don’t train on your data.
AI integration means adding AI to the software and workflows a company already uses, such as a website, CRM, WhatsApp or document store, instead of using a separate chat tool on the side.
No. Most projects start with what you already have: FAQs, documents, product information and past messages. Usually we connect an existing model to your content; when it needs to know your terms and formats, we fine-tune it on your own examples.
We can run the model on your own servers, so your data never leaves the company. Otherwise we use business AI services that don’t train on your data. Either way we keep your access rules and log what the AI does. We prepare KVKK notes with you; your legal advisor gives the final sign-off.
It takes over the repetitive part: the same questions, the same searches, the same copy-paste. Your team keeps the decisions and the conversations that need a person.
A pilot usually takes 2–4 weeks; rollout depends on how many systems it connects to.
Fixed price for the pilot, then a monthly fee for hosting and AI usage.
