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AI Delivery

We build it with AI. You own it.

Software, agents and data apps built with an AI-first method. Agents do most of the execution, a named architect approves every step that carries risk. Up to 70% lower cost, delivered in weeks.

  • "Built inside your stack, under your controls, handed to your team."
Scope your build

A reply within one business day.

Book a strategy call

30 minutes with a senior partner. No pitch deck.

Estimated against a conventional-delivery baseline.

  • 6 weeks from requirements to a production product (instead of 3 to 4 months)
  • ~50 hours of human effort instead of 250 to 400
  • 3 months to rebuild a 15-year-old platform (instead of a quoted 14+)
  • 0 single-person dependencies left after the rebuild

Most teams made coding faster. Nothing else moved.

A copilot helps one developer type faster. But delivery has six steps: decide, specify, build, test, release, learn. When only the build gets faster, the work just queues up somewhere else. Total lead time barely changes.

We change the whole flow, not just the typing.

Agents do the work. People make the decisions.

  1. 1

    Shape.

    We frame the problem, write numbered requirements and settle the technical decisions before anyone writes code.

  2. 2

    Plan.

    The plan is broken into tasks and checked by five specialist reviewers: backend, frontend, security, business case and overall architecture. You sign it off.

  3. 3

    Build.

    Agents build task by task, tests first, staying strictly inside the agreed scope.

  4. 4

    Review.

    Up to eleven reviewer agents check the work in parallel: code quality, tests, error handling, performance, security, API documentation and more. A person decides which fixes go in.

  5. 5

    Ship and learn.

    A pull request with QA, then production monitoring. Every project leaves behind reusable skills, so the next one is faster and cheaper.

A human approves every commitment. Nothing is pushed, merged or released without a person saying yes.

Three ways to work with us

  • We build it for you.

    A new product, an MVP or a rebuild, delivered and handed over.

    Example: Veverka Ventures, Affilbox

  • We build it with your team.

    Our architects and agents working inside your team and your repos.

  • We teach your engineers our method.

    Your developers learn to build with agents, run by your own people.

    Example: a North American real estate company with its own engineering team.

What you can bring us

  • A new product that has to exist before you can sell it
  • A legacy platform nobody dares to touch
  • Internal tools and data apps your teams keep asking for
  • AI features for your customers
  • Connectors between systems that don't talk to each other

What you get at the end

  • Working software in production, in your own repository
  • Written specifications and documentation, produced as part of the build
  • Automated tests and a release process your team can run
  • A handover session, and optional support afterwards

Questions buyers ask

Is code written by AI safe?

Every change goes through tests, parallel reviews and a human approval. Security review is a fixed step, not an extra.

Who owns the code?

You do. It lives in your repository from the first commit.

What do you need from us?

A product owner who can answer questions and approve the plan.

How do you price it?

A fixed quote after a short scoping call.

Have something to build?

A reply within one business day.

Book a strategy call

30 minutes with a senior partner. No pitch deck.

A reply within one business day.