You have the idea.We ship the product.

Your engineering team, from the first version through everything after launch.

Book a 30-min callSee how we work
// What we build

Build it, automate it, or fix it.

Most engagements start with one of these and grow into the others.

Build

Turn an idea into something real users can use, or add AI to a product that already has them.

  • MVP development
  • AI features

Automate

Agents, voice and workflows that take the repetitive work off your team and keep doing it.

  • AI agents
  • Voice agents
  • Workflow automation

Fix

Find what your AI-generated code exposed, then stop the whole thing breaking in production.

  • AI security audit
  • Reliability and evals
// How we work

Idea, ship, scale.

Three phases, every time. Launch is the middle one, not the end.

  1. 01 / Idea

    Start with the problem.

    Thirty minutes on the real problem. What to build first, what to cut, where AI actually earns its place. You leave with a plan you can act on, whoever builds it.

    • Scoping call
    • Problem framing
    • Fastest path to ship
    • A plan you can act on
  2. 02 / Ship

    Build the real thing.

    Something in front of users every week. The actual product, not slides about it. Small team, fast pace.

    • MVP to launch
    • Founding engineering
    • Production-ready
    • Weekly builds
  3. 03 / Scale

    Grow what works.

    The people who built it stay on it, fix what breaks, and grow it as you do. Not a support queue, the same team.

    • Ongoing iteration
    • Reliability
    • Long-term ownership
// Who we build for

Where are you with it?

Three situations come up most. We pick it up from any of them and stay on it.

  • Day oneFounders

    Ship the thing you keep pitching.

    You keep pitching it and there's no one to build it. Founding engineering team from the whiteboard to your first paying users, same people the whole way.

  • Adding AIProduct teams

    Add AI that actually works.

    You've got users and a roadmap. We build the AI features that hold up for real users, not just in a demo, and we own them in production.

  • Already shippedTeams in production

    Make it hold up.

    You shipped with AI and now it's unreliable, expensive, or unsafe. We find what's wrong, fix it, and stay on it.

// Selected work

What it looks like when it's done.

The problem, what was built, and what the number turned out to be.

All case studies
// Global clients

Built with and for teams worldwide.

Different problems, different time zones, and the same people on every one.

By the numbers

  • 2020

    Shipping AI since

    Production systems, from before the LLM era

  • 10+

    Countries shipped for

    Remote long before it was normal

  • 5.0

    Average client rating

    Every project, no exceptions

See the workBook a 30-min call
Vladyslav Gyz
Vladyslav GyzUkraine

“A constructive communicator, capable of discussing difficult issues effectively and to the point. Definitely recommend.”

// Straight answers

The questions that come up first.

Not answered here?

Ask it directly. Thirty minutes on your actual problem, and you leave with a plan you can act on.

Book a 30-min call

I only have an idea. Is that too early?

It's the most common place people start. Thirty minutes is usually enough to work out what to build first, what to cut, and whether AI earns its place in it at all. You'll leave with a plan you could hand to anyone.

What happens after you launch it?

The same people stay on it. Most of what software costs you arrives after version one, and handing that to a support queue that never touched the code is where products quietly die.

Can't I just build this with Lovable or Cursor?

For a prototype, absolutely, and you probably should. It stops being enough at auth, real data, what each request costs you, and the first thousand users. That gap is the part we do.

Wouldn't hiring an engineer be better?

Eventually, yes. But hiring takes months and commits you to a salary before you know whether the bet works at all. This gets you shipping now, and hiring later around something real instead of a guess.

How do you price it?

Never with a number pulled out of the air. Nobody can honestly fix-price six months of custom work, so we scope one phase at a time, each from what the last one actually produced. You get a range on the first call, and a firm number once we've seen the data and the code.

// About us

We build it. And we stay.

Generated code and production code look the same until something goes wrong. Six places they differ.

We've shipped production AI since 2020, back when that meant training the model yourself rather than writing a prompt to one. That work used to be the unglamorous half of the job. Now that a working demo takes an afternoon, it's the entire job.

What decides whether it survives is a short list, and a demo never has to answer any of it.

  • Whether people use it

    If it doesn't fit how the team already works, they stop opening it.

  • Whether you can trust it

    A wrong answer gets caught by a test, not by a customer.

  • What it costs at volume

    Known per request before launch, not a surprise on the invoice.

  • Whether the data is safe

    Keys on the server, every table scoped to whoever is asking.

  • Whether it can change

    Version two is a change, not a rewrite.

  • Who fixes it

    The people who built it, not a queue that never saw the code.

Want to build something?

Tell us what you're building. We'll take it from there.

Book a 30-min call

or reach us at hello@phaseahead.ai