Based on ground-
At meepl we combine state of the art technology & research with high-quality software engineering. Our research focus lies on artificial intelligence, computer vision, machine learning and 3D geometry processing. Together with high-profile partners from academia (e.g. EPFL in Lausanne) we come up with new ideas and create new approaches to constantly innovate our products.
In our engineering team, we apply this research to develop software products that follow our 4 goals: Security, Scalability, Maintainability and Extensibility. Kubernetes, Tensorflow, GraphQL and Knative are just a few samples of the cutting edge software tools we use to provide our SaaS solutions.
Our state of the art measuring algorithm combines approaches from artificial intelligence, computer vision and 3D geometry processing to extract accurate measurements from front and side images. The algorithm is robust and also works under less favorable lighting and background conditions. Learn more about how we use this groundbreaking algorithm within meepl here.
The meepl platform combines our core technologies into a coherent data processing engine. Based on our technological values of data privacy, scalability and maintainability our team of software engineers built a network of microservices running on top of Google Cloud. Using state of the art cloud native technologies such as Kubernetes & Knative we are able to scale with our customers needs while staying agile. Using a distributed database ensures high performance serving customers around the globe.
The 3D models feeding our Virtual Dressing Room are in line with the open industry standards. These 3D models can either be used in dedicated applications or can be displayed within mobile browsers. Thanks to features like AR Quick Look it is now even possible to view 3D content from within Safari using iOS 12. If you are curious how you can leverage this new feature on your iOS 12 powered mobile device then have a look here.