The process

  1. Step 1

    Intro call

    Free · 30 min

    We learn what you're trying to build, what exists today and any constraints. You leave with a clear idea of how we'd approach it.

  2. Step 2

    Scoping

    Days, not weeks

    A few days of back-and-forth for clear projects, or a short paid discovery when the scope is complex or unclear.

  3. Step 3

    Proposal

    In writing

    Scope, milestones and price, agreed before any build work starts.

  4. Step 4

    Build in milestones

    Demo every 1–2 weeks

    Working software early and often, so you can steer as it takes shape.

  5. Step 5

    Launch and support

    30 days included

    Bug fixes for 30 days after launch, then an optional monthly retainer for monitoring, fixes and improvements.

PricingNo minimum

Focused work can start from around $500. Larger builds are scoped individually, with a fixed price or a monthly retainer.

TimelinesMVPs in 3–7 days

Focused MVPs can ship in as little as 3–7 days, depending on scope. Larger builds run in milestones.

Ways to work together

Pick what fits now; it's easy to change as the work evolves.

Fixed-scope project

A defined outcome, a fixed price and agreed milestones.

Best for Well-defined builds, MVPs, migrations

Monthly retainer

Ongoing development and support, including engineers embedded with your team.

Best for Products that keep evolving, post-launch support

Discovery or audit

A short, paid look at your idea, codebase or infrastructure, ending in a clear plan.

Best for Unclear scope, taking over an existing system

Advisory hours

Focused technical guidance from engineers who build these systems.

Best for Architecture reviews, second opinions

What you can count on

A dedicated lead engineer

From the first call through launch, with specialists in AI, data, infrastructure or frontend joining as the work needs them.

You own what we build

Code and IP are yours once paid for. We're happy to sign your NDA, or a mutual one.

Least-privilege access

We work in your cloud accounts and repositories with MFA, keep credentials in a vault, and remove access when we're done.

Your data stays yours

Never used to train public models. We use AI providers' business APIs and can keep everything in your own cloud.

Questions people ask

Ready to talk it through?

Tell us what you want to get done. We'll tell you honestly how we'd approach it, and whether we're the right fit.