Hypotheses to test
Define the problem, the users and what will make it possible to judge the product’s value.
Our service
Custom MVP development is about testing a value proposition with real users. We scope a narrow perimeter, then build and release to production the product you need, including its first AI features when they are part of the hypothesis to validate, on technical foundations that let you keep going.
Teams with a SaaS, web or mobile app, portal or extranet idea to validate
A first usable product in production, with documentation, access and next priorities
Design and development generally take six to ten weeks, depending on scope
Often fixed-price; a dedicated team can then keep evolving the product
What we build
An MVP (Minimum Viable Product) is a first product built to test a value hypothesis with users. It is not an arbitrarily reduced version of a feature catalog. The work consists in choosing a user journey complete enough to learn something: interest, usage, ability to complete a task or willingness to continue.
Define the problem, the users and what will make it possible to judge the product’s value.
Prioritize the essential user journeys and the integrations needed for a first use.
Develop, test and gather feedback to decide on the next steps of the roadmap.

For which needs
An MVP is relevant when an important decision still depends on what users will do. It lets you validate a value proposition, an audience, a pricing model or a use case before investing in a complete product.
Test a first paid or free user journey with real users, then decide on the roadmap based on how they use it.
Build the first version of a web, iOS or Android application, or both when the user journey requires it. See our mobile app development service.
Open a first service to your customers or your teams to check that it meets a real need before expanding it.
Present a usable product to customers, investors or internal leadership, rather than a mockup.
Rebuild the core of an existing product as an MVP to restart efficiently, when the old codebase is holding back its evolution.
What goes into an MVP
An effective MVP focuses on the essentials. Depending on the hypothesis to test, we build the features that validate the product’s usage, value and viability, without unnecessary complexity.
Account creation, login, roles and user access management.
Management of the product’s content, users and key settings.
Billing and SaaS subscription models when the business model is part of the test.
Tracking of usage, conversion and the metrics that will inform what comes next.
Emails or push notifications to inform users and bring them back.
Connection to your existing tools, such as a CRM, an ERP or internal tools.
MVP and AI
Many current projects rely on an AI feature: embedded assistant, document search, automatic extraction or summarization. The MVP is the right time to check that it actually delivers value, with real users and real data, and not just in a demo.
We integrate the model into the product’s user journey, with evaluation datasets, logging of interactions and tracking of API call costs from the very first version. If you already have an AI prototype, we can take over that AI POC and turn it into a usable MVP. For a product that is already live, see our AI features for your product and our AI solutions for businesses.
From work to deliverables
We formulate the hypothesis, identify the users and define the expected observations. Development focuses on the user journey needed for this first use. Some secondary operations can remain manual if this is made explicit. After the trials, feedback guides a new version, a change of scope or dropping a lead.
Objectives, scope, prioritization between must-haves and nice-to-haves, success criteria and initial roadmap. A more complete IT project scoping is possible if the need is still unclear.
Validation of key user journeys and product hypotheses before development, with wireframes, mockups or a clickable prototype, to limit backtracking.
Environments, conventions, release pipeline and best practices set up from the start.
Front end, back end, API and database, with regular demos, code reviews and continuous visibility into progress.
Fixes, deployment, usage instrumentation and preparation of the next iterations.

Fast, but clean
Clear conventions and an architecture that can evolve without a complete rewrite.
A continuous integration and deployment pipeline, and a clear separation between development, staging and production.
Authentication, permissions and secrets management from the first version.
Logs, monitoring and reporting of critical errors to know what is happening in production.
The choices that matter
Speed does not justify ignoring access control, data protection or the reliability of the core user journey. We distinguish reversible shortcuts from decisions that will be costly to undo. The scope and level of polish must match the real conditions of the experiment.
An MVP with a defined scope is often delivered as a fixed-price project. When the product finds its users, a dedicated team can take over to evolve it over time.
The collaboration framework
You can present how things currently work, the users involved and the difficulties you face. The documents, examples and access required are specified afterwards, depending on the chosen scope. The first objective is to understand the work to be done and the dependencies that may affect how it unfolds.
Frequently asked questions
An MVP (Minimum Viable Product) is the simplest version of a product that lets you validate a value proposition with real users. It is not a cut-rate version, but a first usable version, centered on the user journey that enables learning, and built on a technical foundation capable of evolving.
Designing and developing a working MVP generally takes between six and ten weeks. The timeline depends on the functional scope, the integrations required and the maturity of the need. The goal is to quickly deliver a usable version to validate the product hypotheses.
By setting up a suitable architecture from the start, even a minimal one. The scope is deliberately narrow, but the technical choices must allow changes without a complete rewrite. Code quality, tests and documentation also play a key role.
Yes, provided features are well prioritized. Suitable technology choices, such as a cross-platform mobile framework, make it possible to share part of the development while addressing the specific uses of each platform.
An MVP validates a value proposition with a limited functional scope. A product ready to scale meets higher requirements for performance, security, robustness and user experience. The MVP is a learning stage, not a final version.
User feedback helps identify which features to strengthen, adjust or drop. This phase leads to product prioritization, technical consolidation and a gradual rise in quality to turn the MVP into a stable product.
Yes, when the AI feature is part of the value to test. We integrate it into the user journey with evaluations, logging and cost tracking, to judge its value on real data. We can also take over an existing AI prototype and turn it into a usable MVP.
The budget depends on the scope, the number of platforms (web, mobile), the integrations and the security requirements. An IT project estimate lets you price a realistic first scope and identify what can be postponed to a later version.
Tell us what you want to build, the users involved and your technical environment. Together we will define the first scope of the MVP.