Creating high quality mobile apps often feels like a slow and frustrating process compared to the lightning speed of web development. That gap is finally about to close. Minitap just secured $4.1 million to unleash AI agents that build, test and ship mobile features ten times faster than human teams. This technology promises a future where even non technical staff can launch complex app updates in a single afternoon.
Big Backing for a Bold Vision
Minitap officially announced its successful seed funding round of $4.1 million today.
The investment round was co led by Moxxie Ventures and Mercuri. It also saw participation from EWOR, Tekton Ventures and Amigos Venture Capital. The startup has attracted serious attention from heavyweights in the artificial intelligence sector.
Prominent angel investors joined the round to support this vision.
- Thomas Wolf: Co founder of Hugging Face
- Stefan Glanzer: Renowned tech investor
- Operators from OpenAI and DeepMind: Bringing deep technical expertise
The company was founded in 2025 by Nicolas Dehandschoewercker and Luc Mahoux Nakamura. Their mission is clear and urgent. They want to solve the stagnation in mobile app development.
Mobile usage accounts for roughly 60 percent of all internet traffic. Yet the tools used to build these apps have not kept pace with the rapid evolution seen in web technologies.
Dehandschoewercker noted that giants like Duolingo and Hinge run far more experiments on the web than on mobile simply because mobile is too hard.
Minitap aims to remove these barriers entirely.
mobile app development artificial intelligence automation tool
Crushing the Mobile Bottleneck
The core problem with mobile development is fragmentation.
Web developers can push code and see results almost instantly. Mobile engineers must deal with app store reviews, different operating systems and thousands of unique device configurations. This often leads to development cycles that drag on for six weeks or more.
Minitap addresses this by automating the most tedious parts of the process.
It allows engineering teams to bypass the manual grunt work that slows them down. The platform is not just a coding assistant. It acts as a complete infrastructure layer that handles the heavy lifting of testing and iteration.
“The companies that run 10x more experiments will win their markets. We’re building the infrastructure that makes that speed possible.”
Luc Mahoux Nakamura, Co founder of Minitap
This speed is critical for consumer apps.
Market trends shift rapidly in the consumer space. Being able to test a new feature in days rather than months can be the difference between a viral hit and a forgotten app.
How the Technology Works
Minitap is built on a unique two part system designed to mimic human behavior.
The first component is called Mobile Use. This is an open source framework that allows AI agents to operate smartphones just like a person would. It can swipe, tap and scroll to verify that the app works correctly.
The second component is Minitap Cloud.
This infrastructure powers the operation at scale. It allows the system to provision thousands of different phone configurations instantly. It supports both iOS and Android devices running in parallel.
Here is how the workflow transforms with Minitap:
- Code Generation: The AI connects to the coding environment to write mobile specific code.
- Real Device Testing: It tests the code on actual devices rather than just simulators.
- Self Correction: If the agent detects an issue or a crash it applies a fix automatically.
- Deployment: The working feature is deployed with minimal human intervention required.
This loop dramatically reduces the workload on human engineers. They can focus on architecture and strategy while Minitap handles the execution and verification.
Empowering Non Technical Teams
The long term vision for Minitap goes beyond just helping engineers.
The founders envision a world where product managers and growth teams can build features directly. The goal is for a non technical team member to describe a feature and upload a design file. Minitap would then handle the rest.
Imagine a product manager providing a Figma design in the morning.
By the afternoon the AI has generated the code and deployed an A/B test to live users. This level of autonomy would revolutionize how companies operate. It eliminates the bottleneck of waiting for engineering resources to become available.
Current engineering teams are already using Minitap to speed up their output.
But the future roadmap includes autonomous optimization. The platform plans to eventually support apps that can optimize themselves. The AI would analyze user behavior data and generate its own hypotheses for improvement.
It would then build variations and measure outcomes without any human involvement. This creates a self improving product cycle that is unheard of in today’s market.
Mobile development is finally getting the intelligence upgrade it deserves.
We are moving toward an era where creativity is the only limit to what you can build on a phone. The technical barriers are crumbling. Minitap is leading the charge to ensure that the next great app idea creates a massive impact instantly.
What do you think about AI taking over the coding and testing process for mobile apps? Do you think this will help creators or does it pose a risk to quality? Let us know your thoughts in the comments below and share this with your tech friends using #MinitapAI on social media.
