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AI and automation that work in a real process

We connect models to your data and systems, measure quality and leave decisions to a person where the cost of an error is high.

  1. Data

    First, your documents and knowledge

    A model is only as useful as the data. We collect it and put it in order.

  2. Model

    Then the right model

    Cloud, private or local, depending on your data and budget.

  3. Interface

    In a convenient channel

    Chat, messenger, voice or built into your product.

  4. Actions

    And with access to your systems

    Agents work through permitted tools, with a log and confirmation.

How we do it

We measure rather than trust

We check quality on your examples before launch and after every change.

We show sources

Knowledge-based answers show where the information came from.

A person in the loop

Important and disputed decisions stay with people.

Spending control

Limits and token tracking, so the bill does not come as a surprise.

We will check whether AI is needed here

Describe the task. If a simple rule will do better, we will say so.