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.
> extended_capabilities
AI App & MVP Development
> extended_capabilities
Turn an AI idea into a functional MVP without building a cathedral before validating the ground.
We design and develop prototypes, internal tools and AI-powered MVPs to validate opportunities, accelerate decisions and turn processes into functional products.
Before writing code, we understand the business problem, the user, the process logic and the real level of AI the solution needs. Then we build a useful, measurable first version ready to evolve.
First review focused on viability, scope and next steps. Without selling you a 6-month app if a 3-week pilot is enough.
Not sure yet which opportunity to prioritise? Start with Orbit Discovery Sprint.> service_signal
> private_ai > decision_layer > controlled_orbit
> pain_points
Most MVPs fail before reaching the market. Not due to lack of technology. Due to excess fantasy.
Many companies start building features, screens and automations before clarifying what problem they solve, who will use it and what decision the MVP should validate. The result: months of development, burnt budget and a tool nobody adopts.
Development without validation
Building without clear hypotheses turns the MVP into an expensive bet. First it must answer a business question.
AI added as decoration
Not everything needs agents, RAG, embeddings or complex models. AI must solve a real function, not decorate a demo.
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.
> solution_layer
We build AI-powered MVPs that serve to decide, not just to show.
AI App & MVP Development combines product design, business strategy, technical architecture and applied AI to build functional first versions with a clear objective: validate if an idea deserves more investment. We work with companies that need to turn an opportunity into something tangible: an internal tool, a client app, a specialised assistant, an intelligent dashboard or an initial digital product.
> Reduce uncertainty
> Validate the use case
> Build only what's necessary
> Design a reasonable technical foundation
> Avoid absurd technical debt from day one
> Generate a demonstrable version for users, clients, investors or management
An MVP isn't a cheap version of the final product. It's a machine for learning faster.
Types of MVP we can build
We start with small, functional versions focused on validating a specific hypothesis.
Internal AI Tools
Internal tools for teams that need to reduce operational load, query information, generate analysis or accelerate repetitive tasks.
Example: A tool for sales to analyse forms, classify leads and generate follow-up recommendations.
AI Assistants
Specialised assistants for specific tasks: support, sales, HR, operations, reporting, training or document analysis.
Example: An internal assistant that answers questions about processes, policies or technical documentation.
RAG Prototypes
Prototypes that allow querying corporate documentation, manuals, reports or knowledge bases using AI.
Example: An MVP to validate if a technical team can resolve queries faster by consulting manuals with AI.
Decision Dashboards
Dashboards that not only show data, but help interpret it and turn it into recommendations.
Example: A management panel that summarises KPIs, identifies deviations and proposes next steps.
Workflow Apps
Internal applications to manage specific processes: approvals, requests, tracking, documentation or reporting.
Example: An app to centralise internal requests, classify them with AI and automatically assign them to the right team.
Founder / Startup MVPs
Functional first versions for founders who need to validate an idea, show traction or present a serious demo.
Example: An initial platform to demonstrate a value proposition to pilot clients or investors.
> orbit_build_method
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
Frame
We ground the idea: problem, user, context, business objective and main hypothesis to validate.
Clear MVP definition and success criteria.
02
Scope
We reduce the solution to the essential: minimum features, necessary data, type of AI, integrations and limits.
Functional and technical scope of the first MVP.
03
Build
We develop the first functional version with the right stack: frontend, backend, APIs, AI, database, automations or RAG if applicable.
Functional MVP ready for testing.
04
Learn
We test the solution with real users or stakeholders, gather feedback and define whether to iterate, scale, pivot or stop.
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
For CEOs
You have an internal or strategic opportunity, but you need to see it working before committing a large budget.
Validate potential without starting an endless project.
For CTOs
You need to explore an AI solution without compromising the main architecture or loading the technical team with poorly defined experiments.
Controlled prototype, reasonable stack and clear documentation.
For founders
You have a product idea and need a demonstrable first version to validate market, get feedback or present to pilot clients.
Functional demo, focus and speed.
For innovation teams
You need to turn opportunities into tangible prototypes, not 80-page documents nobody opens again.
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.
✓ Idea review and validation objective
✓ Main user definition
✓ Problem and use case identification
✓ MVP functional scope
✓ Essential feature prioritisation
✓ User flow design
✓ Wireframes or basic interface structure
✓ Initial technical architecture
✓ 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
✓ Technical documentation
✓ Usage documentation
✓ Delivery and review session
✓ Post-MVP evolution roadmap
MVP yes. Complete enterprise product from day one, no.
An MVP must be small, functional and honest. If we try to build all the features of the final vision, it stops being an MVP and becomes a full software project.
Scope control
We define what's in and what's out before building. Focus protects the budget.
Human-in-the-loop
If AI takes part in sensitive decisions, we design validations and human review.
Data boundaries
We define what data the MVP uses, where it's stored and what information should not enter the first version.
Technical runway
We build with enough criteria to learn and evolve, but without over-dimensioning the architecture.
No false autonomy
We don't sell "magic agents" that do everything alone. We design systems with limits, context and operational responsibility.
The MVP must demonstrate value. Not pretend it's already a 40-person company.
FAQ
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.
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.
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.
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.
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.
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.
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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.