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LLM integration and AI assistants

We build language models into products and workflows: assistants for customers and staff, chatbots, handling of requests and documents. We choose the model and where it runs to fit the task, the data requirements and the budget.

Who it is for

Companies that want to give customers or staff an assistant in a product, on the website or in a messenger — and teams that have tried AI but hit a wall on answer quality, cost, or the question of where their data goes.

What the client gets

A working integration with the chosen model, built into your product or process, with data-handling rules fixed before work starts. We hand over the source code, prompts and settings, along with a set of examples for checking answer quality.

  1. Assistants and chatbots

    On the website, in the app, in Telegram and in internal systems — answering within your rules and your data.

  2. Choosing the model and hosting

    External providers through a single gateway, regional models for jurisdiction requirements, or a model on your own servers — depending on the data and the budget.

  3. Request and document handling

    Classification, data extraction, summaries and draft replies inside an existing process.

  4. Cost and resilience

    Routing between providers, failover and control over per-request spending.

  5. Quality control

    Test examples, a request log and observability to see how the model answers in production.

Questions

Where does our data go?

We settle this before estimating the project: which data may be sent to an external provider, what must be anonymised, where requests and answers are stored and for how long. If data must not leave your infrastructure, the model runs on your servers.

Do you guarantee answer accuracy?

No: a language model’s quality depends on the data and the task, so we do not guarantee metrics. We measure quality on your examples, iterations are part of the project, and we name the risks up front.

Can the assistant work inside our CRM or website?

Yes. The assistant connects to your systems through APIs with limited permissions and works only in the scenarios agreed.

Assistant

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