Alteria LOGIC

Company

An engineering company that builds AI into business

We help companies put AI to work in real processes. First we set up data exchange and a single source of data, then we connect agents, so that the system keeps serving you six months later too.

How we see AI implementation

Putting AI into a company is not an easy task, and the difficulties are natural. An agent may work well in a demonstration, yet lack access to the data it needs for real work. It also happens that a system starts working, and later its accuracy declines, because the data changes and responsibility for quality has not been assigned.

This shows what is worth looking at: AI is only one part of the solution. The data, the business rules, the approval by a person and the log of actions are just as important. The model is one component that can be replaced when needed.

That is why we suggest starting with the foundation: set up data exchange between systems, build a single source of trusted data and add checks that do not let a doubtful result be recorded. After that, connecting AI goes smoothly. This order takes more work at the start, but it gives a reliable result.

What we work with

  • Python · Django · LangGraph Ordinary code that your team can read and check.
  • Your databases and ERP Connection through agreed interfaces, with limited rights to read and write.
  • Your infrastructure or the cloud Deployed where you decide.
  • Cloud AI models Reached through a private gateway that protects your data. A closed network with local models is assessed separately.

How we work

Four commitments we make on every project, including the uncomfortable ones.

  1. 01

    The estimate comes before the conversation

    The configurator on this site shows the scheme of the solution and the range of effort before you speak to us. If the numbers do not justify the project, you learn it at once, without spending time on meetings.

  2. 02

    First the agent only suggests

    No agent writes into your system on the first day. At first it only suggests results, and your team compares them with its own decisions. The agent receives the right to write only for the operations where its suggestions proved accurate.

  3. 03

    We tell you when it does not pay off

    Some processes are too rare, too varied or too cheap to automate. If we see that automation will not pay off, we say so openly during the audit: it is fairer to both sides.

  4. 04

    Everything stays with you

    Code, instructions to the agents, configuration, test sets and logs live in your repository from the first commit. The handover should never be a matter of negotiation.

Who you will work with

The team is formed to fit the size of your project. One solutions architect leads it from the audit to the launch.

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What you can count on

  • One architect leads the project The lead architect describes the task and answers for the scope, the estimate and the result. Specialists join as the project requires.
  • The scope is written down Before the work starts you receive the scope, the estimate and the assumptions behind it in writing.
  • Access is agreed with you Every system an agent touches is agreed in advance, with the smallest rights it needs.

Start with a calculation, not a meeting

Three minutes in the configurator give you more than a first call, and the page with the result stays with you.

Calculate the project