Customer-facing MVP
A working product that real users can sign up for, use and give feedback on, built with the smallest set of features that answers your main question.
Founders come to us with a clear idea and a short runway. We help you decide what to build first, then design and ship it with senior engineers who stay through launch.
A startup has no room for a six-month build that teaches everyone the wrong lesson. The first version has to answer a real question about your market, your users or your operations. That means narrow scope, working software early and a team that will tell you when a feature can wait. We work this way by default.
You also need engineering you will not have to replace in a year. We build with common tools your future hires will know, document what we make and keep the codebase small enough to understand. When we add AI, we start with one workflow where it clearly helps, not with a demo that impresses nobody twice.
We cut the first release down to the few features that test your core assumption, then protect that scope as you learn.
You work directly with the people writing the code, not an account manager relaying messages to a junior team.
Short iterations end with something you can open and use, so feedback comes while it can still change the product.
We make practical choices now and name the places where you will need to invest once the product finds its market.
If AI belongs in the product, we prove it on real inputs before it becomes a feature your users depend on.
We say plainly what we think will work, what we would postpone and where the technical risk sits, including when that is unwelcome news.
Most first projects fall into one of these four shapes.
A working product that real users can sign up for, use and give feedback on, built with the smallest set of features that answers your main question.
Automate the spreadsheet or inbox that runs your operations today, so your small team can handle more work without adding headcount.
Add search, drafting or extraction to an existing product, with evaluation and a clear fallback for the cases where the model is unsure.
Review architecture, estimates or a build another team delivered, and get a direct view of what to keep and what to change.
We spend a focused session on your users, the problem and the constraint that matters most, then agree what the first release must prove.
We sketch the flow, choose an architecture you can live with and turn the scope into a short, ordered list of work.
We build in short iterations with a demo each time, keeping the product running so you can show it to users early.
After launch we watch how the product behaves, fix what breaks and help you plan the next round of work.
Yes. We scope the first release to your budget instead of pretending everything fits. If the number does not support the idea, we say so early and suggest a smaller step.
No, though it helps to have someone who owns the product. We explain decisions in plain language and leave you with documentation your future team can use.
You do. We work in your repositories where possible, and everything we produce is handed over with the access you need to continue.
Yes. Many founders keep us on for support, improvements or the next feature, either on a fixed scope or an ongoing basis.
We start with one workflow and a small set of real examples to test against. If quality or cost does not hold up, we say so before it reaches your users.
Tell us what you are making and where you are stuck. We will reply within one business day with a clear next step, not a sales pitch.