If you have an idea for an AI product, the fastest way to learn whether it works is to put a real version in front of users. We help you do that properly.
From idea to launch
We handle the whole product: the design that makes the AI feel natural rather than bolted on, the engineering for native iOS and web, and the AI itself, meaning the models, the retrieval and the evaluation. It ships as one product you can launch and charge for.
We build our own products the same way. WeddingBestie is a multilingual wedding platform with live RSVP. Pillpal is one of four apps we keep live on both stores. The advice you get on scope, launch and iteration comes from having done it with our own money.
How the build runs
Week 1: scope. The MVPs that win do one thing well. We cut the feature list until what is left is the sharpest version of the idea, and we write down what launch-ready means as a checklist.
Weeks 2 to 4: the working core. The riskiest piece first, which is usually the AI capability against real data. You see it working early, while there is still time to change direction.
Weeks 4 to 8: the product around it. Design, onboarding, accounts, payments if needed, and the polish that lets early users judge the idea instead of the rough edges. Evaluation and basic monitoring ship inside the MVP.
Launch. We help you ship, watch the first real usage with you, and turn what users do into a plan for the next version.
Fast without being fragile
Speed should not mean a rewrite three months later. The architecture stays clean, the code is documented, and the AI layer can be swapped as better models arrive. When the MVP works, it is version one. You build on it rather than starting again.
For budgets, the cost guide has the ranges. Platform or website covers a scoping question most founders hit early.
Have an idea? Bring the sketch. We will bring the questions.