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/engineering/ai-automation

AI & Automation

Practical AI for everyday operations — chosen and evaluated with the same methods we use on biosignal research.

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01 / Includes

What this covers.

  • 01

    Chatbots & automated replies

    Assistants for customer support and internal knowledge, connected to your own documents and systems.
  • 02

    Computer vision

    Image processing and recognition for inspection, counting, document reading and similar tasks.
  • 03

    Data analysis

    Exploring operational data, building models and turning the results into something a team can use.
  • 04

    Reporting

    Automated reports and dashboards that replace manual spreadsheet work.
  • 05

    Process automation

    Automating repetitive steps across email, documents, forms and business software.

02 / Process

How a project runs.

  1. P.01

    Define

    We start with the problem, the users and the constraints, and write down what will be built and how success is checked.

  2. P.02

    Build in increments

    Work is delivered in short, reviewable steps on a staging environment you can open at any time.

  3. P.03

    Test and document

    Automated tests where they matter, and documentation written for the people who will maintain the system.

  4. P.04

    Hand over and support

    Code, infrastructure and credentials are handed over in full. Ongoing maintenance is available if you want it.

→ /collaborate

Have a project in mind?

Tell us what you are building. We reply with questions, not a sales deck.