Our Story
Typewise is a story years in the writing. Cofounders Janis and David met in school developing their first tech products – a school library database and a music categorization AI. Over time they built a friendship around their shared passion for technology.
This shared enthusiasm sustained their friendship as they moved through university and into their separate careers in data science (Janis) and strategy (David), with most talks returning to tech. But one question continued to confound them. How can we use technology more productively? From an early Kickstarter campaign and development of a prototype, Typewise has already come a long way. After the launch of the Typewise Keyboard App in late 2019, the app quickly gathered the first 100,000 downloads. From there on, it was clear Typewise could be something bigger. Janis and David started to build a team and surrounded themselves with awesome and highly motivated people. During a successful seed round mid-2020, raising $1,000,000, Typewise appeared on the Swiss reality show “Die Höhle der Löwen” and convinced two investors of the necessity of a keyboard for the 21st century.
Since then, Typewise has been recognized by fans and critics alike, winning local and international awards, and even more importantly, gaining a devoted user base that reward our keyboard apps with thousands of five-star ratings, resulting in 4+ ratings on App Store and Google Play. Our next milestones include sentence prediction technology, which we'll bring to mobile, desktop, VR and ultimately Brain-Computer Interfaces.
Our AI-technology
We develop “Text Prediction” technology that, with the help of Artificial Intelligence, Machine Learning and Natural-Language Processing, performs correction and completion of words and entire sentences on mobile and desktop applications. Existing solutions often come at a price of privacy though, as many services are cloud-based. At Typewise we develop world-class Text Prediction technology, which runs on-device and thus protects user privacy. Our highly compressed and performant model also uses significantly less energy than comparable solutions, reducing the carbon footprint of our users.
We collaborate with the Swiss Federal Institute of Technology’s AI Center (ETH Zurich) to develop our advanced, on-device algorithms. This collaboration is funded by Innosuisse, Switzerland’s federal innovation agency.
