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AI MVP

AI MVP agency: your idea live and tested by your customers in a few weeks

A new service for your customers, an AI tool for your teams, an application you would like to sell… Before devoting a year and a large budget to it, it pays to know whether the idea holds up. At Kreante, we build an MVP with you, a first version that goes straight to the essentials, so you can test it quickly with real users. We rely on our own AI agents, under the control of our senior developers, which saves precious weeks. And we stay by your side to decide, results in hand, what comes next.

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265+ projects delivered in 35 countries · 4.9/5 average rating on Clutch · teams in Paris, Madrid, Miami and Lima

110+ companies already trust us

SmartCab: WhatsApp Taxi Booking with No App to Install
Hoopsquad: Pickup Basketball App with Player Ratings
Decathlon: Spare Parts Finder App for Product Repair
INSPO: Professional Social Network for Thought Leaders
Meetern: Student & Employer Matchmaking Platform
Motives Solutions: Anonymous Team Feedback SaaS
Maria Schools: Custom Web Platform for a School Group
ShareLeads: B2B Marketplace for Construction Pros
CartelOne: Payroll & Performance App for Field Teams
Garde-Robe: Social Wardrobe & Fashion Sharing App
Pure Engagement: A Web-Based NoCode Solution for Organizational Transformation
DAVCO AI: AI Real Estate Investment Analysis Platform
REMI AI: Nutrition Companion App for Clinic Patients
TheFlow – Ticketing Platform for the Tango Event Community
Laboratoria+: Career Growth Platform for Women Leaders in Latin America
Roc Solutions: Hyperautomation & Access Governance
Class2Class: EdTech Platform Connecting Classrooms
SmartCab: WhatsApp Taxi Booking with No App to Install
Hoopsquad: Pickup Basketball App with Player Ratings
Decathlon: Spare Parts Finder App for Product Repair
INSPO: Professional Social Network for Thought Leaders
Meetern: Student & Employer Matchmaking Platform
Motives Solutions: Anonymous Team Feedback SaaS
Maria Schools: Custom Web Platform for a School Group
ShareLeads: B2B Marketplace for Construction Pros
CartelOne: Payroll & Performance App for Field Teams
Garde-Robe: Social Wardrobe & Fashion Sharing App
Pure Engagement: A Web-Based NoCode Solution for Organizational Transformation
DAVCO AI: AI Real Estate Investment Analysis Platform
REMI AI: Nutrition Companion App for Clinic Patients
TheFlow – Ticketing Platform for the Tango Event Community
Laboratoria+: Career Growth Platform for Women Leaders in Latin America
Roc Solutions: Hyperautomation & Access Governance
Class2Class: EdTech Platform Connecting Classrooms
The situation

Your idea deserves to be tested before it is budgeted

Do any of these sound familiar?

  • An idea for a new service you have been turning over for months, without ever putting it in front of a single customer

  • A partner, a leadership team or investors who want to see something working before they commit

  • An AI tool you would like to test with one team before rolling it out across the company

  • A prototype built over a weekend with an AI tool, impressive in a demo, much less so in front of real customers

  • A six-month quote for a first version, when you don’t even know yet whether the need exists

  • A promising AI feature, and nobody knows yet how much it will cost to run, or whether it will answer correctly

That is the whole point of the MVP, an approach popularized by Eric Ries in The Lean Startup: build the minimum that is useful, put it in the hands of real customers and learn from their reactions before investing further. AI now makes it possible to move much faster. It does not replace what makes a good MVP, though: a clear question, a tight scope and solid foundations. And the first point is often where we spend the most time with you.

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AI MVP: what are we actually talking about?

Behind these three letters lie two quite different projects, and we can support you with either one.

In both cases, the goal stays the same: find out as early as possible whether your product meets a real need.

An MVP built with AI
Your product doesn’t necessarily use AI, but we use it to build faster. Our AI agents write the code, the tests and the documentation, under the control of our senior developers.
An MVP with AI at its core
Your product relies on an AI component, such as an assistant, automatic document analysis or recommendations. The MVP then also serves to check that the AI answers correctly, fast enough and at a sustainable running cost.
Where to start

POC, prototype, MVP… Where to start?

Each stage has its role and its budget. We help you choose the right one:

The question it answersWho tests it?What you get
POCIs it technically feasible? For example, can AI read your documents reliably enough?Your team, on a sample of real dataProof of feasibility, rarely reusable as is
PrototypeDo users understand the product and its journey?A few target users, in interviewsA clickable mockup, with no real tech behind it
MVPDo users really use it, and do they come back?Real customers, in real conditionsA live product, minimal but reliable, that serves as the foundation for what comes next

At Kreante, a mockup of your product is ready in 48 hours, to validate the journey before writing a single line of code.

What we deliver

An AI MVP ready to welcome your first customers from day one

  1. 01

    The journey that matters, and nothing else

    We help you sort through your ideas to keep only the journey that proves your product’s value. The rest will wait for the next version. It is often the hardest decision to make, and we won’t hesitate to challenge you on it, kindly.

    • A hypothesis to test and a success metric set from the start, for example the number of users who come back after a week, the number of customers ready to pay or the time a team saves
    • Features sorted into must-haves and later versions
    • A mockup approved before development

    In practice, what often waits for the next version: a very complete back office, multiple languages, secondary automations, or a mobile app when a web version is enough to test the idea.

  2. 02

    The invisible foundations, built from the first version

    A demo can work perfectly well without them. Your first customers, however, won’t be able to do without them.

    • User accounts, access rights and secure passwords
    • Online payment, if your model calls for it
    • Backups and controlled releases
    • Application monitoring and error alerts, to fix issues before your customers notice
    • Usage analytics, to know what your users really do
  3. 03

    An AI component tested on real cases

    When your product relies on AI, we check its answers on a series of concrete cases, including the trickiest ones, before putting it in your customers’ hands.

    • Choice of AI model based on the expected quality and the running cost
    • Estimate of the AI cost per person, to build your business model
    • Guardrails for when the AI doesn’t know the answer
  4. 04

    Code that belongs to you

    If your MVP finds its audience, it will become the foundation of your product. So we write standard code, hosted in your own GitHub repository from day one, that any technical team can take over and evolve.

    On delivery, you also receive the project documentation, access to the hosting and an onboarding to the administration, so you stay autonomous day to day.

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On your own or with help

Building your MVP alone with AI, or with an agency?

With Lovable, Bolt or Cursor, a first version can come to life in a few hours. To present an idea to your colleagues, that is often enough. We use these AI tools every day ourselves.

But as soon as real customers arrive, with their data, their payments and their requirements, your product has to offer other guarantees. That is where our senior developers’ experience makes all the difference.

Alone with an AI toolWith a freelancerWith Kreante
For what need?Testing a hunch, showing an ideaBuilding a well-defined scopeLaunching with real customers, convincing investors
ArchitectureIt emerges request by requestIt depends on the person’s experienceDefined upfront by our senior developers
Security and dataUp to you to checkDepends on each person’s practicesChecked before every release
After launchFixes are on youDepends on their availabilityWe stay by your side to evolve the product
Security

Launch fast without leaving the door open to attackers

Applications generated quickly with AI and then put online without review can hide well-known flaws: access keys visible in the code, one user’s data viewable by another, no limit on login attempts. And attackers use AI too, to spot these mistakes faster. However minimal an MVP may be, it already holds real data, that of your first customers or your employees.

At Kreante, every MVP is reviewed by our senior developers before it goes live:

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  • Access rights checked

  • Technical keys and passwords kept out of the code

  • Data hosted according to its sensitivity, in Europe when necessary

  • If your product talks with its users through AI, clear disclosure that they are interacting with an AI, as required by the European regulation since August 2, 2026[1]

Why Kreante

Why entrust the development of your AI MVP to Kreante?

#01

A team that has been building with AI for more than two years

From the first platforms such as Bubble, WeWeb or Xano to Cursor, Codex and Claude Code today, we have followed every step in AI’s evolution. So we know precisely where it saves time, and where a senior developer must stay in control.

#02

Products that won people over beyond their first version

Meetern, SmartCab, Laboratoria, Class2Class and Kaudal had their application built with Kreante, and these products helped them raise funds.

#03

A budget approved before we start

The scope and budget of your MVP are set together, in writing, after the mockup. You know exactly what you will get, and for how much.

#04

A partner for what comes next

A successful MVP is only a beginning. We then help you grow your product, version after version, with constant attention to what it brings you. Several of our clients have been working with us since their very first version.

#05

A product eye as much as a technical one

We take the time to understand your business and your customers before talking tech. And we sometimes advise you against an AI feature, when a simpler solution does the job just as well.

Pricing

Let’s start by talking about it

Assessment of your MVP project

Free

30 minutes with an expert

  • The hypothesis to test first
  • The features to keep for the first version
  • A first estimate of the budget and timeline
Book my assessment

AI MVP

Custom quote, based on your scope

Mockup in 48 hours · budget approved before we start

  • Your product’s core journey, on web or mobile
  • User accounts, access rights and payment if needed
  • AI component tested on real cases
  • Usage analytics from launch
  • Code reviewed by our senior developers and hosted on your GitHub
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How it works

From idea to first users, in five steps

  1. Frame

    We take the time to understand your idea, your customers and your business, then together we frame the question the MVP must answer and the metric that will tell whether it succeeded.

  2. Mock up

    We build a mockup in 48 hours, to validate the journey and set the scope and budget in writing.

  3. Build

    Our AI agents develop, our senior developers steer and approve. You follow progress through regular demos, and you can react at every step.

  4. Launch

    We put the MVP live with your first users, with usage analytics already in place.

  5. Decide

    We analyze the results together to decide what comes next: continue, adjust or change course.

Proof in the results

They trusted us

DAVCO AI: AI Real Estate Investment Analysis Platform
Web Application

DAVCO AI: AI Real Estate Investment Analysis Platform

Challenge

The platform ingests property data daily via Zillow scraping, runs AI-driven renovation cost and ARV estimates using OpenAI, and surfaces the highest-potential deals first. Users can review…

Stack

Python/FastAPI, Lovable, Claude Code, React, PostgreSQL, Weweb, LangGraph, Supabase, OpenAI, Zillow API

An AI-powered real estate intelligence platform built for a Miami-based investment team. DAVCO AI replaces manual Zillow filtering and spreadsheet-based calculations with an automated map interface that displays estimated profit margins across all active single-family listings in the Miami area.

TheFlow – Ticketing Platform for the Tango Event Community
Web Application

TheFlow – Ticketing Platform for the Tango Event Community

Challenge

Tango event organizers across Europe were running everything manually — registrations, confirmations, payments, check-in. They needed one purpose-built platform to manage the full event lifecycle,…

Stack

Bubble, Stripe, Express, Postmark, PDFMonkey

TheFlow is a web platform built for tango event organizers in Europe. Kreante evolved it across multiple phases from a basic registration tool into a complete event management and ticketing product — covering event creation, participant management, waitlists, online payments, QR check-in, automatic invoicing, and an international tango event calendar.

Pure Engagement
Web Application

Pure Engagement: A Web-Based NoCode Solution for Organizational Transformation

Challenge

Kreante developed a comprehensive platform for Pure Engagement using NoCode technologies. Built with Bubble for the frontend and Xano for the backend, this solution facilitates organizational…

Stack

Bubble, Xano

Pure Engagement needed a platform capable of handling the complexity of organizational transformation, recognizing that success depends not only on structural change but also on people’s psychological and emotional transition.

Podcast in a Box: Multi-iPhone Podcast Studio iOS App
Native Application

Podcast in a Box: Multi-iPhone Podcast Studio iOS App

Challenge

Build an iOS app that turns iPhones plus an audio interface into a complete, professional podcast recording studio, capturing high-quality sound and video across several phones at once and keeping…

Stack

A mobile app that lets creators record, sync, edit, and export podcast audio and video using a dedicated interface and multiple iPhones working together as one studio.

REMI AI: Nutrition Companion App for Clinic Patients
Web Application

REMI AI: Nutrition Companion App for Clinic Patients

Challenge

Patients leaving clinic checkups with a list of medical recommendations and lab results often had no clear, practical way to turn that information into daily meals, leading to poor adherence and high…

Stack

Lovable, React, Supabase, Python/FastAPI, Neo4j, Brevo

Kreante built REMI AI, a system that reads a patient's genetic and medical test results and automatically turns them into a personalized nutrition and supplement plan that gradually evolves over several months, with clinic staff reviewing every AI-generated interpretation before it reaches the patient.

Decathlon: Spare Parts Finder App for Product Repair
Web Application

Decathlon: Spare Parts Finder App for Product Repair

Challenge

Stack

Weweb, Xano

In the sustainability-focused retail landscape, product repair and maintenance play a pivotal role in circular economy initiatives. Businesses are increasingly adopting innovative solutions to reduce waste and extend product life cycles.

Garde-Robe: Social Wardrobe & Fashion Sharing App
Web Application

Garde-Robe: Social Wardrobe & Fashion Sharing App

Challenge

Stack

Bubble

When Garde-Robe presented their innovative vision to make fashion more social and collaborative, Kreante, a leading LowCode agency, eagerly embraced the challenge.

INSPO: Professional Social Network for Thought Leaders
Native Application

INSPO: Professional Social Network for Thought Leaders

Challenge

When INSPO approached our LowCode agency with their vision of creating the definitive platform for thought leadership, we knew this project would push the boundaries of what’s possible with…

Stack

Flutterflow

In the rapidly evolving landscape of LowCode development, creating sophisticated applications no longer requires months of traditional coding.

ShareLeads: B2B Marketplace for Construction Pros
RebrandingLandingWeb Application

ShareLeads: B2B Marketplace for Construction Pros

Challenge

Stack

Flutterflow, Supabase, Webflow

Connect with verified construction professionals, find new projects, recruit subcontractors, and grow your business with ShareLeads' trusted B2B platform.

Hoopsquad: Pickup Basketball App with Player Ratings
BrandingLandingNative Application

Hoopsquad: Pickup Basketball App with Player Ratings

Challenge

The basketball community in Washington D.C. lived on courts and in scattered WhatsApp groups. What was missing: a place to give it visibility, bring more people together, find players at your…

Stack

Flutterflow, Firebase, Webflow, Shopify, Stripe, Google Maps API

What we built In 3 months, Kreante delivered all three platforms at once. The mobile app lets you find pickup games within a 10-mile radius, rate players to compete at the right level, track your progress, and meet up to watch games together. Two tiers: a free version and a premium subscription at $39.99/season — proof that the community is willing to pay to play better. For this kind of project, visual identity isn't just a detail — it's what creates the sense of belonging from the very first open. The entire branding was conceived and built by Kreante. The landing page was built to convert: a strong visual world, a clear message, one goal — trigger the download. The e-commerce store pushed the logic even further: unapologetic street style, rooted in DC culture, to rep your colors beyond the court. Launched at a Virginia tournament, HoopSquad is now live across 13 regions in the United States — on the App Store and Google Play.

Meetern: Student & Employer Matchmaking Platform
RebrandingLandingWeb Application

Meetern: Student & Employer Matchmaking Platform

Challenge

The Meetern team had been connecting students and companies for years, through physical events. Many great encounters and opportunities later, they understood that to create real impact at scale,…

Stack

Weweb, Supabase, Webflow

What we built Kreante designed and developed Meetern: a complete matchmaking platform, with three distinct interfaces for students, companies, and academic institutions. Students build their profile, apply, and track their applications. Companies post opportunities and receive intelligently matched profiles. Academic institutions monitor placements in real time. Across all three: integrated messaging and a matching algorithm that replaces manual introductions. The platform is multilingual, French and English at launch, Dutch on the way. A V1 delivered in 6 months, a V2 launched in March 2026 with extended language support. Today, 50 to 100 active users every day. And a team that no longer runs events, but a platform.

Motives Solutions: Anonymous Team Feedback SaaS
BrandingLandingWeb Application

Motives Solutions: Anonymous Team Feedback SaaS

Challenge

Every manager knows a motivated team performs better. But motivation is invisible. And without understanding what truly motivates each person, engagement initiatives remain educated…

Stack

Weweb, Xano, Webflow

Kreante designed and developed Motives Solutions: a bilingual SaaS platform (FR/EN), from branding to application. Team members answer 3 anonymous questions. The app analyzes responses and generates a detailed report by motivational driver, for each individual, each team, each organization. Two modules: Motives TEAM for team-level insights, Motives ORGA for the full picture. Tracking is longitudinal: engagement evolution over time, visualized. Three questions. A clear picture of what truly moves a team forward. Measuring the invisible, so you can finally act on it.

Laboratoria+ membership platform with courses, career mentoring and events for women in Latin America
BrandingLandingWeb Application

Laboratoria+: Career Growth Platform for Women Leaders in Latin America

Challenge

After a decade training thousands of women for tech jobs, Laboratoria saw its graduates stall on the way to leadership: in engineering and product, only 52 women are promoted to management for every…

Stack

Bubble

Laboratoria+ is the membership platform of Laboratoria, the Latin American organization that has helped more than 14,000 women access quality jobs in tech. Built with Bubble, it brings together live courses and learning circles, 1:1 career mentoring with a network of senior women executives, online and in-person events, and a free plan alongside paid Pro and Plus subscriptions.

Roc Solutions: Hyperautomation & Access Governance
RebrandingLandingWeb Application

Roc Solutions: Hyperautomation & Access Governance

Challenge

Stack

Weweb, Xano, Webflow

Transform your organization with ROC's secure hyperautomation platform. Orchestrate workflows, governance, and access management from a living organizational chart.

Class2Class platform where teachers connect classrooms worldwide to run project-based learning around the UN SDGs
RebrandingLandingWeb Application

Class2Class: EdTech Platform Connecting Classrooms

Challenge

Class2Class wanted any teacher in the world to find a partner class and run a real project together, but international collaboration in schools depended on personal contacts, scattered tools and…

Stack

Bubble, Xano

Class2Class is a global learning community, based in Denmark, where teachers connect their classrooms to run real-world projects around the UN Sustainable Development Goals. Kreante rebuilt the web platform with Bubble and Xano — teacher profiles, class matching, project creation and collaboration spaces — and delivered the rebranding and landing page. The community now counts more than 25,000 teachers in 190+ countries.

SmartCab: WhatsApp Taxi Booking with No App to Install
BrandingNative Application

SmartCab: WhatsApp Taxi Booking with No App to Install

Challenge

In Switzerland as across the world, independent cab drivers face the same reality: ride-hailing platforms that set the rates, impose the rules, and own the client relationship. Olivier Fouvy wanted…

Stack

Flutterflow, Firebase, Supabase

SmartCab is built on a radical premise: for the end customer, nothing changes. No new app to download, no account to create, no interface to learn. They send a WhatsApp message to their driver, just as they always have. Behind that message, an entire machine kicks into gear: an AI engine processes the request, calculates the route, confirms the booking, and triggers invoicing — automatically. Everything an app does. Without the app. They send a WhatsApp message. The rest happens without them. For drivers, it means freedom regained: customizable pricing, a client relationship that belongs to them, no algorithm to appease to stay visible. For fleet operators, a dispatch module handles ride assignments and real-time driver tracking. Three subscription tiers: Lite, Pro, Premium — built for every profile. What SmartCab proves is that real sophistication doesn't announce itself. It's felt — in a booking that requires zero effort, in a relationship of trust that no one gets to monetize. Available on iOS and Android.

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Free assessment

What if your first users were testing your idea in a few weeks?

In 30 minutes, a Kreante expert reviews your idea with you, the hypothesis to check first and the scope of your MVP. You leave with a first estimate of the budget and timeline, with no commitment.

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FAQ

Everything you need to know about AI MVP development

Your question isn’t here?

Book your free assessment and bring it along.

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MVP stands for Minimum Viable Product. It is the first version of a product, reduced to the essentials but genuinely usable, that you put in the hands of real users to check that it meets a need. An MVP is therefore not a mockup: it works, handles real data and serves as the foundation for the next versions.

Sources

  1. [1]EUR-Lex, Regulation (EU) 2024/1689 on artificial intelligence, Article 50
Jorge del Carpio

Written by Jorge del Carpio, CEO and co-founder of Kreante. Since its founding in 2020, the agency has delivered 265+ projects in 35 countries.

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From the blog

Our articles on AI MVP

Guides, comparisons and field notes from the projects we deliver.

Lovable, Cursor, V0, Bolt, Stitch, Base44: Which AI Tool Should You Choose for Your Frontend in 2026?Development

Lovable, Cursor, V0, Bolt, Stitch, Base44: Which AI Tool Should You Choose for Your Frontend in 2026?

In 18 months, 6 serious tools have emerged for building interfaces with AI. They don't do the same thing. Lovable and Base44 build complete apps without code. Cursor is built for developers. V0 generates clean React components, no backend. Bolt is for quick testing. Stitch (Google, March 2026) designs interfaces and exports code. At Kreante, we use Lovable to convince clients before they even sign a contract.

May 7, 2026Read the article
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