MVP & New Product Development

A minimum viable product is the smallest version of your idea that still lets you test your riskiest assumption with real users. It is not a broken or half-finished product; it is a focused one that answers the question you most need answered before investing in the full build.

Most MVPs take a few weeks to a couple of months, depending on scope. The whole point is speed, so we keep the feature set tight and ship early. We agree a realistic timeline in discovery and deliver in short increments so you see progress throughout.

Far less than a full product, because the scope is deliberately small. After a short discovery we give you a clear, fixed proposal for the agreed MVP scope, with no hidden fees. The approach is designed to protect your budget by validating before you commit to the full build.

Not if it is built well. We develop MVPs on the same clean, scalable stack we use for full products, so a successful MVP grows into the full product rather than being thrown away. We document where we kept things simple so you know exactly what to harden as you scale.

Yes. Many of our MVP clients are non-technical founders. We handle the technical decisions, explain things in plain English, and act as your product and engineering partner so you can focus on customers, fundraising and the business.

Often significantly. A working MVP or clickable prototype turns an abstract pitch into something investors can use and react to, and the usage data it generates is strong evidence of demand. Many founders use an MVP specifically to strengthen a raise.

Then the MVP has done its job cheaply, by telling you before you spent the full budget. We help you read the data honestly and decide whether to pivot to a better version of the idea or move on. Learning that early is a win, not a loss.

Sometimes. For certain MVPs, low-code platforms like Bubble or Softr get you to a testable product even faster and cheaper, with a path to migrate later if it takes off. We will recommend low-code where it genuinely fits and custom code where it does not.