Download Mitosis
For iOS, you will be prompted to install a configuration profile. This is safe and standard for adding web apps to your Home Screen.
This will add an icon for Mitosis to your Home Screen. Tapping it will take you to an interactive loading page before launching the game.
If you wish to remove the profile later, go to Settings > General > VPN & Device Management, select the profile for Mitosis, and tap "Remove Profile".
Screenshots
Download Information
Mitosis APK is available for Android devices. Download the latest version of the APK file and install it on your Android phone or tablet. Enjoy all features and updates directly from our app store.
Mitosis IPA is available for iOS devices. Download the latest IPA file and install it on your iPhone or iPad. No Jailbreak Required Our store provides safe and fast downloads for all iOS users.
Get Mitosis for your device now. Whether you need the APK for Android or the IPA for iOS, we have you covered with the latest version, free and secure.
About Mitosis
Evolution at your fingertips
Mitosis is your evolutionary sandbox
Real evolutionary processes.
Mitosis brings machine learning into an exciting strategy game.
The simulation is based on evolutionary algorithms which are normally used to solve complex problems. In this scale a worlds first for a game. Due to our technology the evolution in mitosis is real evolution, no creationism or scripted progress.
Invented by world-class scientists.
learn about basic principles that drives nature.
Experience the power of chance.
Play through the campaign or set up your own experiments.
In Mitosis you can become a cell biologist and use different tools to grow a cell population and manipulate its environment. Through manipulation of the environment the conditions of survival change thus the cells have to adapt to their new surrounding. Unlike from similar games you cannot change the cells genome directly but only influence the chances of survival for certain random mutations. This is what evolution is about in reality: Totally random mutation and natural selection.