French wellness app studio ROCAPINE raises $13 million: is AI turning mobile apps into disposable products?

For nearly fifteen years, the mobile app economy rested on a relatively stable equation: developing a product required time, large teams and substantial capital. This scarcity favoured the emergence of category leaders capable of maintaining their dominance for years. Instagram, Spotify, Duolingo and Strava all benefited from this dynamic. The difficulty of building a product was, in itself, a barrier to entry.

That equation is now changing rapidly. Rocapine, a young Paris-based company founded in late 2024 by Stanislas Marchand, Jean-Gabriel Boinot-Tramoni and Sammy Teillet, has raised $13 million from Educapital, Daphni, Ring Capital, Center Court Capital, Athletico Ventures and Better Angle. The company already claims $6 million in ARR, 2.5 million downloads and five successful applications across women’s health, nutrition and addiction management. Behind these figures lies a more ambitious thesis: using artificial intelligence to industrialise the creation of mobile applications.

The ambition, therefore, is not to build one category-defining app, but to create a machine capable of producing hundreds of them.

While most publishers concentrate their resources on a limited number of products, Rocapine has adopted an approach based on continuous experimentation. The company plans to test as many as 400 app concepts this year. When a product finds its market, it is developed, optimised and deployed at scale through a largely automated technology infrastructure. One application in its portfolio is reported to have reached $1 million in ARR just sixteen days after launch.

The model has more in common with mobile gaming studios than with traditional software publishers. Stanislas Marchand’s experience at Voodoo is probably no coincidence. In mobile gaming, the most successful companies abandoned the idea of predicting which product would succeed long ago. Instead, they multiply experiments, measure the results and concentrate their resources on the handful of projects that emerge naturally from the market.

Artificial intelligence is now amplifying this logic. Development costs are falling rapidly and design cycles are becoming shorter. Tools for generating code, design and content, as well as analysing performance, allow smaller teams to launch more products in parallel. Development is gradually becoming a commodity.

Rocapine’s model points towards a different approach from the one that currently dominates the industry. An application becomes one asset among many within a much broader portfolio. Some fail quickly, others reach critical mass, and only a handful justify substantial investment.

This development raises a broader question: are mobile applications becoming disposable products?

The term may sound excessive, but it reflects an emerging economic reality. If artificial intelligence makes it possible to launch hundreds of products at a low cost, some applications may have only a limited lifespan. Their purpose would no longer necessarily be to build a global brand over ten years, but to respond quickly to an identified demand, generate revenue and then make way for a new generation of better-adapted products.

Mobile gaming already provides a precedent for this dynamic. Thousands of games are released every month. Only a small minority reach significant scale. Most disappear after just a few months. There is no guarantee that the wellness, nutrition or personal development markets will escape the same logic as creation costs continue to fall.

Yet this abundance will not necessarily lead to a more democratic market. If applications become easier to produce, acquiring users becomes more difficult. Value creation could then become increasingly concentrated in the hands of distribution platforms, advertising networks and companies capable of using data effectively. Power would shift from developers to distribution specialists.

This is probably where the most important strategic issue lies. Artificial intelligence is not merely transforming the way applications are developed. It is redefining the very nature of software as an asset. The question is no longer which app will become the next global success, but which companies will be capable of building the best app factories.