AI MVP development for founders
A working AI product your first users can try, built by senior engineers in Riga. Fixed scope and a fixed price, agreed before we start.
Scope my MVP- One flow that proves the idea, live with users
- Weekly demos, code in your repository
- Model choice and cost per user worked out
- Fixed price after a scope call
What we build
- Assistants over your data
- Chat or search over documents, tickets or a knowledge base, with sources shown and answers tested on real questions.
- Agents that do a task
- Workflows that read, decide and act in other tools: triage, data entry, follow-ups, reporting.
- Document and image processing
- Extract fields from invoices, contracts, forms or photos and push them into your system.
- Voice and chat front ends
- Phone or chat agents for bookings, support and intake, connected to your backend.
How it works
Scope call
We go through the idea, the users and the one flow the MVP has to prove. You get a written scope, a timeline and a fixed price.
Build with weekly demos
You see working software every week, try it with users and change priorities inside the agreed scope.
Launch and handover
We deploy it, hand over the code and documentation, and help you hire or keep building with us.
What you have at the end
- Code you own
- Your repository, your cloud accounts, no lock-in to our tools.
- An evaluation set
- Real test cases with expected answers, so you can see when a model change makes the product better or worse.
- Cost per user
- What each active user costs in model and hosting fees, the number investors ask about for AI products.
- A path past the MVP
- Notes on what to build next, what to keep and what to replace when usage grows.
Questions
What is an AI MVP?
The smallest version of an AI product that real users can try and that shows whether the core idea works: one main flow, a model behind it, and enough measurement to learn from usage.
How much does AI MVP development cost?
It depends on the scope: the number of flows, integrations and how much the model has to be tuned. After the scope call we give a fixed price, so the number does not grow during the build.
Which models do you use?
Whatever fits the task and the budget: frontier APIs such as OpenAI, Anthropic or Google, or open-weight models when data privacy or cost per user matters.
Do I own the code?
Yes. The code lives in your repository and runs in your accounts from the first week.
Who builds it?
Senior engineers based in Riga, Latvia, working in European hours with founders in Europe and the US.
Tell us what you want to build
Two sentences on the product and its first users are enough. We reply with questions and times for a 30-minute scope call.