We help you build working products you can show to users and investors. With AI we ship apps faster and find out whether they’re worth scaling.
Wizard AI Wizard AI is our AI agent for inbound leads. It takes in leads around the clock, drafts the first reply for the sales manager, and creates a lead card in Trello. A person always replies to the client.
An MVP takes 1–3 months instead of the usual 5–7 months.
An MVP costs less than full development.
An MVP gives real metrics from first users instead of guesses.
The MVP’s code and architecture become the foundation of the full product.
An MVP answers the main question before a full build: is this product worth building at all? You get an honest answer from real users and decide whether to commit to the full build — before the budget is gone.
Beetrail does MVP development and startup app development on iOS and Android, with AI built into the product itself. Before full development we build a small working version around one core feature, so you see it working with real users rather than in a demo. An MVP takes 1–3 months instead of the usual 5–7 and returns real metrics from first users instead of guesses, and its code and architecture become the foundation of the full product. MomSmile, an app for expecting and new mothers with an AI consultant inside, launched on the App Store and Google Play. A fit for anyone validating a new product idea: a founder testing a startup hypothesis, or a company launching a new product line without committing a full budget first.
You have an idea, no product
Nothing to show users or investors yet.
Not enough data to decide
You’re not sure the idea works, and surveys don’t settle it.
AI at the core of your idea
You need to see whether the AI actually works for real users.
Free call
A 15–30 minute call where we look at how your work is set up and where time gets lost. We say where AI actually pays off and where it is overkill, and suggest a simpler route if there is one.
Pilot or planning
For an AI task, we run a 4–6 week pilot on one of your processes and real data. For a large build, we start with a planning phase: requirements, architecture and the scope of work.
Fixed-price project
After the first step, we name the exact project price, and it stays fixed. We build AI into your systems and check it on your data before launch.
Monthly support
We look after the system after launch: monitor the quality of its output, retrain it on new data and add features as your needs grow.
Dmitry
Founder, MomSmile
They understood us from the first word — not as programmers talking to programmers, but as ordinary people. And it was delivered at the price we agreed on from the start.
Alexander Konovalov
Founder, InterPensioner
A professional team and an easy one to work with. They handle the problems properly and keep their eyes on the result.
Alisher
Dala Qyrandary
A professional team that really got into the problem. Every stage of the work was clear to us, and the result was exactly what we wanted.
Egor
COO, Joboard
An app that is genuinely easy to use, and support that is always there. We were completely happy with how the team worked.
Evgeny
CEO, Siegel Agency
Everything was delivered fast, done well and done in full. Talking to the team was easy and straightforward.
Valery
Founder, AI Assistant
The goal was not just another AI chat, but a voice assistant people could understand, with a character that felt alive. The team proposed a solution that met the goals of the first release and still left room to grow the product and add new AI capabilities.
Fast MVP development
We turn your idea into a working product in 1–3 months. Test hypotheses fast and reach real users.
AI inside the MVP
AI inside the product helps retain customers and grow revenue. It learns from your data and gets smarter every day.
Flexibility
We adapt fast to market changes and investor demands. We’re a steady partner when things are uncertain.
Focus on the result
We build not just code but a solution that helps attract investment and shows the business model works.
Transparent process
You always know where the project stands, and our work is predictable, so you can plan the next steps with confidence.
On average 1–3 months depending on complexity: we pick the core feature, build it and put it in front of users, then grow the product iteratively. Cost depends on the scope and the integrations — we scope the work for free on a call and give you a clear estimate. An MVP costs less than full development.
On the free call we work out exactly what needs validating and define the metrics that will show whether the idea works. Then we suggest starting with a pilot rather than a full application: that way the answer comes sooner and on a smaller budget.
You end up with a working product in front of real users and the metrics to go with it — that is what investors see instead of a deck. If the hypothesis doesn’t hold, you learn it within 1–3 months and on an MVP budget, not after a full build.
We structure the code and architecture so the MVP becomes the foundation of the full product: new features go on top, with no rewriting from scratch. A late change of scope is another iteration, not a rebuild.
Both, and it is the same engagement: the difference is only how much you build before real users see it. If the idea still needs proving, we scope an MVP. If it is already proven and you need the full startup app built and in the stores, we scope that instead. On the free call we say which of the two your case actually is.
We’ll get on a 15–30 minute call and talk through which hypothesis to test and what to show investors.
