Talk tech & build turkey.
Simply put: we
design and build tech… from wearables, apps and protoypes to the
occasional autonomous robot. Read more about our areas of expertise
Our technical focus
is on Creative Technology. It combines computing, design, art and
human sciences. Examples for Creative Tech are digital product
design, 3D printing and wearables, as well as products in the fields
of Virtual and Augmented Reality.
For our client AIDA, we are currently developing a wearable and designing the future of the cabin.
team develops and builds Custom Hardware, complete from draft and
design to building a prototype and testing the hardware. This
includes designing the electronic schematic, layout of the printed
circuit board, and case modeling. Here we set great value in FOSS
software and through our colleagues in Hong Kong and Shenzhen, we
achieve short turnaround times.
For our client AIDA, we develop a wearable that enables indoor location-based services based on wi-fi trilateration and facilitates access management through NFC.
Data Science generally means the extraction of knowledge from data. A data scientist uses scientific methods from different areas – mathematics, statistics, machine learning and programming. Our second technical focus is on Data Science.
User Experience (UX) describes the personal experience when using a product, service or app. This does not stop at mere functionality, but includes positive emotions during handling. A pleasing UX is therefore a key success factor for any digital concept – and a clean UX design is a natural feature of our product development, as is an intensive UX testing.
For our client Haspa, we designed an app strategy and the UX design for the Kwitt App.
For AIDA, we develop the UX design for the areas of Onboard Entertainment and future of the cabin.
The science of machine learning teaches a computer to learn and act like a human, and to autonomously improve its learning over time. For this purpose, the computer is fed data and information in the form of observations and real interactions. Speech recognition on a smartphone, for example, is based on machine learning algorithms....
... for instance:
For AIDA, we are currently developing indoor location-based services based on Machine Learning.
No project lifespans. We think there’s always something to do when you work on a great product.
No yackety-yak. Straightforward communication is important to us. We won’t come in suits to you and we won’t blow smoke. If we think something is a bad idea, we will say so.
We want to be there from the start. From scratch to finished product, we want to develop something really cool with you and to contribute our own ideas and methods.
Our work is decentralized, agile and MVP-based. As our office is Slack, Hangouts & Co., we won’t sit in your office every day. We use agile methods and focus on an MVP (Minimum Viable Product). If you are unfamiliar with these working methods, we will be happy to assist you.
Meet. We sit down together in an ideation session to think about your product and find out what our cooperation could look like.
Plan. After the initial workshop we develop a step-by-step plan, usually concluded by an MVP. Then we present our proposal to you.
Develop. Once the concept is decided upon, we will develop and build together with you. The goal is a finished MVP or a prototype.
Done. After its completion we recommend you gradually incorporate the product into your in-house IT team. This way you won’t rely on us. And we can tackle the next idea together with you.