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Our services

Decide

AI diagnosis & architecture

Know what AI is for before you spend on it, and what it isn't for. This is the way in: a few weeks, fixed scope, fixed price, and you come out knowing where the money is leaking and what to fix first. If AI isn't the answer, we'll tell you.

Start here
  • AI diagnosis

    What you're running, what you're paying for, and what isn't paying you back.

  • Architecture

    Which stack, which models, what connects to what you already have, and what stays out.

  • A roadmap with a return

    What to build in what order, and what each piece is supposed to change.

  • Technical direction

    A senior engineer sitting next to whoever decides, so you pick the road before you pay for it.

  • Fixed scope, fixed price

    You know what you get and what it costs before anything starts.

Build

Products, systems and automation

AI under the hood. Senior people at the wheel. Products, systems and automation that work on the first delivery, and keep working after we're gone. Done right, once.

Done right, once
  • Web and mobile products

    From prototype to app store, with AI moving the code along and senior people checking every call.

  • Custom software

    Systems built around your process, not your process bent around a system.

  • Automation and agents

    AI wired into what you already run, with governance and a name on the line when it gets something wrong.

  • Legacy modernization

    New life for what you already have, without breaking what works.

  • UX/UI and prototyping

    Test with real people before building. Design is how it works, not how it looks.

  • MVPs for startups (Lab)

    Scope to a validated product, with AI from day one and mentoring from people who've founded, scaled and sold a company.

Read

Data, curation & BI

What your data is telling you. Curation, governance and BI, so decisions follow what happened instead of what somebody assumed. This is the part that keeps going after launch, and it's the difference between using AI and learning from it.

See what the data says
  • Data curation

    Putting what you already have in order, so AI answers with your context instead of the average of the internet.

  • Governance and privacy

    Who can reach what, what can be automated, and what still needs a person to sign off.

  • BI and dashboards

    The numbers that matter, in front of the people deciding, with no spreadsheet in the middle.

  • Metrics from launch

    Measuring the product from day one, not once the problem shows up.

  • Continuous watch

    Reading doesn't stop at delivery. It keeps going, because the data does.

Work