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AI engineers for your OS

We take on corporate engineering work of many kinds and apply AI where it is needed. We also help with crypto and other requests.

What we work on

Corporate tasks

We replace old systems without stopping work and remove manual data transfer between departments. We also take code nobody dares to touch.

Applied AI

We connect language models to a company’s private data. The model answers only from documents the employee can access. We test quality on your examples before launch and after.

Crypto

We build payments for companies with digital assets. Each transaction goes through simulation, limit checks and multisig.

  • Smart contracts and audit preparation
  • Exchange and custodian integrations
  • Reconciling on-chain activity with accounting

Other tasks

If the task is engineering but doesn’t fit here, write anyway. We’ll tell you if we’ll take it.

  • Technical due diligence before a deal
  • Projects stuck with another vendor
  • A prototype before the budget decision

Highly qualified AI engineers with deep, varied backgrounds

We came to AI from different areas of engineering. That lets one team handle a language model and what surrounds it: the data it reads and the services it connects to.

  • Machine learning

    Choosing and training models for a specific task, then measuring how well they do it.

  • Language models

    Assistants and agents connected to a company’s own data.

  • Applications

    Any kind of application: web, mobile and desktop, backend included.

  • Data

    Collecting and cleaning data so reports and models can rely on it.

  • Infrastructure

    Deploying systems and keeping them running.

  • Blockchain

    Smart contracts and their connection to ordinary systems.

How a project runs

The order is the same whatever the size of the task.

  1. Task review

    You describe the problem. We ask about the systems and data involved and what should change in your work.

  2. Plan

    We propose an approach and agree on the scope with you. If the task doesn’t need AI, we’ll say so.

  3. Build

    We work in short stages and show a working result after each one.

  4. Launch and handover

    The system goes live in your environment, and you get the code and documentation. If you need us after launch, we stay on.

Tell us about your task

Send a few lines about what needs doing and which systems it touches. We’ll reply with questions or a first take on the approach.

[email protected]
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