Agreed scope, without feature creep
We define what's in and what's out before building. Focus protects the budget.
> extended_capabilities
AI App & MVP Development
Your idea. Up and running.
I design and build prototypes, internal tools and AI-powered MVPs. Test an opportunity with real users or processes before investing in the full product.
Work directly with me. First we define the problem and scope; then we build.
MVP / UNDER CONSTRUCTIONIllustrative demonstration
One idea, a focused scope.
We clarify who it is for, what problem it solves and what the first version needs.We connect the interface, processes and AI where it adds value. What is needed to test the idea.We test the hypothesis with real users, data or processes and decide how to evolve. We clarify who it is for, what problem it solves and what the first version needs.
AI is part of the solution, not the starting point. We build what your case needs.
Let's review your ideaLess uncertainty. More useful product.
Before building more, make better decisions. Explore four common obstacles and how we address them to turn an idea into a first version you can learn from.
THE PROBLEM
Ideas too big to start
The vision can be ambitious. The first product shouldn't be. A good MVP reduces the idea to its useful core.
Everything feels essentialA useful core. The rest comes later.
HOW WE ADDRESS IT
A useful core. The rest comes later.
We prioritize the main problem and the features needed to test it. We define what belongs in the first version and what can wait until the next stage.
WHAT THIS ENABLES
A focused scope to test the idea without building the whole product.
THE PROBLEM
Development without validation
Building without clear hypotheses turns the MVP into an expensive bet. First it must answer a business question.
Building without knowing what to proveBuild to answer a question.
HOW WE ADDRESS IT
Build to answer a question.
We define the hypothesis, who will test the MVP and what we need to observe. The first version connects development, testing and learning.
WHAT THIS ENABLES
Evidence to decide whether to iterate, scale, change direction or stop.
THE PROBLEM
AI added as decoration
Not everything needs agents, RAG, embeddings or complex models. AI must solve a real function, not decorate a demo.
Technology without a specific jobAI with a clear role.
HOW WE ADDRESS IT
AI with a clear role.
We identify which task benefits from AI, with which data and boundaries. We connect that capability to the process without adding complexity that solves nothing.
WHAT THIS ENABLES
A useful function you can test, not a demo that only looks impressive.
THE PROBLEM
Prototypes that don't scale
A fast prototype is fine. But if it's built without minimum architecture, everything has to be thrown away later.
Pieces that work in isolationA foundation for learning and evolving.
HOW WE ADDRESS IT
A foundation for learning and evolving.
We design proportionate architecture: interface, data and integrations with clear responsibilities. We document the first version and its limits without overengineering it.
WHAT THIS ENABLES
A demonstrable version with sound technical decisions and a defined next step.
Types of MVP we can build
You do not need to start by choosing a technology. Start with what you want to solve: six starting points for building a useful first version.
Open the need that sounds most like yours.
Reduce repetitive work in my teamInternal tools
Sales enquiry formsClassified leads and next steps
WHAT WE CAN BUILD
Internal tools
Internal tools for teams that need to reduce operational load, query information, generate analysis or accelerate repetitive tasks.
WHAT TO VALIDATE
Let's discuss this use case Does it help the team spend less effort classifying leads and more on following up?
Give my team specialized supportTask-specific assistants
A question about a processGuidance on the next step
WHAT WE CAN BUILD
Task-specific assistants
Specialised assistants for specific tasks: support, sales, HR, operations, reporting, training or document analysis.
WHAT TO VALIDATE
Let's discuss this use case Are the answers useful for the task, and does the team know when to request human review?
Find answers in my documentsKnowledge search
Manuals and a questionAn answer linked to its sources
WHAT WE CAN BUILD
Knowledge search
Prototypes that allow querying corporate documentation, manuals, reports or knowledge bases using AI.
WHAT TO VALIDATE
Let's discuss this use case Can users find the right information and verify where it came from?
Understand my data to make decisionsDecision dashboards
Business indicatorsDeviations and actions to review
WHAT WE CAN BUILD
Decision dashboards
Dashboards that not only show data, but help interpret it and turn it into recommendations.
WHAT TO VALIDATE
Let's discuss this use case Does the dashboard help identify what needs attention and which decision to make?
Coordinate a process across peopleWorkflow applications
An internal requestClassification and an assigned owner
WHAT WE CAN BUILD
Workflow applications
Internal applications to manage specific processes: approvals, requests, tracking, documentation or reporting.
WHAT TO VALIDATE
Let's discuss this use case Does the request reach the right person, and can its status be tracked?
Test a new product ideaMVPs for new products
A product hypothesisA first version for pilot users
WHAT WE CAN BUILD
MVPs for new products
Functional first versions for founders who need to validate an idea, show traction or present a serious demo.
WHAT TO VALIDATE
Let's discuss this use case Do users understand the value and want to keep using the solution?
These are starting points, not fixed packages. A solution can combine several types; the scope depends on what we need to learn.
OrbitBuild Method
From ambitious idea to functional MVP. Without over-building.
OrbitBuild Method is our process to transform an idea into a functional, scoped and validatable first version. We don't start by asking "what screens do you want". We start by asking what the MVP must demonstrate.
01 / 04
Frame the idea
We ground the idea: problem, user, context, business objective and main hypothesis to validate.
What you take away
Clear MVP definition and success criteria.
02 / 04
Choose the essentials
We reduce the solution to the essential: minimum features, necessary data, type of AI, integrations and limits.
What you take away
Functional and technical scope of the first MVP.
03 / 04
Build the first version
We develop the first functional version with the right stack: frontend, backend, APIs, AI, database, automations or RAG if applicable.
What you take away
Functional MVP ready for testing.
04 / 04
Learn and decide
We test the solution with real users or stakeholders, gather feedback and define whether to iterate, scale, pivot or stop.
What you take away
Learnings, roadmap and next product decision.
Building fast doesn't mean building blind. It means learning before spending too much.
Designed for teams that need to move from idea to evidence
The same idea needs to answer different questions. Choose your role to see how a first version can help you decide.
For CEOsSee value before investing more For CTOsExplore without compromising architecture For foundersPut the idea in front of users For innovation teamsTurn opportunities into experiments
For CEOs
See value before investing more
You have an internal or strategic opportunity, but you need to see it working before committing a large budget.
What we aim to achieve
Validate potential without starting an endless project.
For CTOs
Explore without compromising architecture
You need to explore an AI solution without compromising the main architecture or loading the technical team with poorly defined experiments.
What we aim to achieve
Controlled prototype, reasonable stack and clear documentation.
For founders
Put the idea in front of users
You have a product idea and need a demonstrable first version to validate market, get feedback or present to pilot clients.
What we aim to achieve
Functional demo, focus and speed.
For innovation teams
Turn opportunities into experiments
You need to turn opportunities into tangible prototypes, not 80-page documents nobody opens again.
What we aim to achieve
Applied experimentation with business criteria.
What we can deliver
Each project adapts to the maturity level of the idea. It can be a functional prototype, an internal tool, an advanced demo or an MVP ready for pilot users.
Explore the pieces of a handover. Your project scope is agreed individually; not every case needs every item.
WHAT IT CAN INCLUDE
Definition
- Idea review and validation objective
- Main user definition
- Problem and use case identification
- MVP functional scope
- Essential feature prioritisation
WHAT IT HELPS YOU DO
Know what we are testing, who it is for and where the first version stops.
WHAT IT CAN INCLUDE
Design
- User flow design
- Wireframes or basic interface structure
- Initial technical architecture
WHAT IT HELPS YOU DO
Align the user experience and technical foundation before development.
WHAT IT CAN INCLUDE
Development
- Frontend and/or backend development
- AI model integration
- API, database or document integration
- RAG prototype if the case requires it
- Complementary automations
- Basic logging or tracking system
WHAT IT HELPS YOU DO
Test the use case with a functional version connected to the necessary data and processes.
WHAT IT CAN INCLUDE
Handover
- Technical documentation
- Usage documentation
- Delivery and review session
- Post-MVP evolution roadmap
WHAT IT HELPS YOU DO
Use and review the solution with context, and decide its next stage.
A useful first version, yes. The entire product on day one, no.
We narrow what we build, not the care we put into it. An MVP should address a specific use case and let you test it, without including every feature in the final vision.
Your company size does not limit the MVP. Its scope is shaped by the question we need to validate.
Human review where it matters
If AI takes part in sensitive decisions, we design validations and human review.
Clear data boundaries
We define what data the MVP uses, where it's stored and what information should not enter the first version.
A proportionate foundation for evolution
We build with enough criteria to learn and evolve, but without over-dimensioning the architecture.
Autonomy with accountability
We don't sell "magic agents" that do everything alone. We design systems with limits, context and operational responsibility.
First, demonstrate value. Then decide what deserves to grow.
FAQ
Select a question to clarify your MVP's scope, validation and next steps.
How is a prototype different from an MVP?
A prototype is used to visualise or test an interaction. An MVP must allow validating a real hypothesis with users, data or processes. It can be simple, but it must generate useful learning.
Can you build a complete SaaS?
Yes, but this service is designed for first versions, internal tools and controlled MVPs. If the project requires a complete product, long roadmap or enterprise scalability, it's approached as custom development or a later phase.
What technologies do you use?
It depends on the case. We can work with React, Next.js, Python, FastAPI, databases, APIs, n8n, AI models, RAG, OpenAI-compatible APIs, local models or hybrid solutions.
How long does an MVP take?
It depends on the scope. A prototype can take a few days or weeks. A functional MVP usually needs more structure. The key is defining a sufficiently useful first version without trying to build the entire final product.
What if I still don't have a clear idea?
Then it probably makes sense to start with Orbit Discovery Sprint. AI App & MVP Development works best when there is already a specific idea or a well-identified problem.
Will the MVP be scalable?
It depends on the strategic decision. Sometimes it's worth building something fast to validate and then rebuilding. Other times it's worth creating a more solid foundation from the start. The decision depends on risk, budget and project horizon.
> review_idea
Let's review if your idea deserves to become an MVP.
Tell us what you want to build, for whom and what problem it solves.
> next_step
A clear starting point.
Not sure yet which opportunity to prioritise? Start with Orbit Discovery Sprint.
Don't build the final product before validating the first decision.
A good first version must answer a specific question: Does this solve a real problem for someone who would use it or pay for it? If you already have a clear idea, we can turn it into a functional MVP. If there are still too many unknowns, we start with Discovery.