Minitap, an AI-powered mobile development platform, has raised $4.1 million in seed funding. The round was co-led by Moxxie Ventures and Mercuri, with participation from EWOR, Tekton Ventures, Amigos Venture Capital, and several unicorn founders. It also attracted a strong group of AI infrastructure experts, including Thomas Wolf, Stefan Glanzer, Michael Breidenbrucker, Paul Muller, Petter Made, Daniel Krauss, Jochen Engert, André Schwämmlein, and Saturnin Pugnet, as well as operators from OpenAI, DeepMind, LangChain, and LlamaIndex.
Mobile development remains significantly slower than web development, even with the rise of AI tools. While some solutions help web developers deliver features in days instead of weeks, they are less effective for mobile, as they cannot test on devices, handle iterations when issues occur, or verify functionality across different configurations. Minitap addresses this gap by enabling engineering teams to develop mobile features in a much shorter timeframe than the typical six weeks.
Founded in 2025, Minitap enables engineering teams at consumer mobile companies to ship features significantly faster. The company’s vision is to make mobile development so seamless that non-technical teams at consumer app companies can build complete mobile features without relying on engineering resources. Minitap combines open-source AI agent frameworks with cloud infrastructure to automate mobile testing and iteration.
According to Nicolas Dehandschoewercker, co-founder and CEO, mobile accounts for about 60 per cent of internet usage, but advances at only a fraction of the pace of web development. He notes that consumer app companies like Duolingo, Calm, and Hinge run far more experiments on the web than on mobile, and says Minitap was created to help close this gap.
Minitap’s technology is built around two main components: Mobile-Use, an open-source framework that enables AI agents to operate phones in a human-like way, and Minitap Cloud, an infrastructure that can quickly provision any phone configuration (iOS or Android) across thousands of devices in parallel.
Connected to AI coding environments, these tools allow AI systems to write mobile code, test it on real devices, detect issues, apply fixes, and deploy working features with minimal human intervention.
Every consumer mobile company needs to experiment faster. The companies that run 10x more experiments will win their markets. We’re building the infrastructure that makes that speed possible,
said Minitap's co-founder Luc Mahoux-Nakamura.
Today, engineering teams at consumer mobile companies use Minitap to accelerate feature development.
The company’s goal is to enable growth teams to release features without relying on engineering: a product manager describes a feature, supplies a Figma design, and AI generates the code, tests it, and deploys an A/B test within the same afternoon.
Over the longer term, Minitap plans to support mobile apps that optimise themselves autonomously by running experiments, analyzing user behaviour, generating hypotheses, building variations, measuring outcomes, and iterating without human involvement.
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