Revolutionising medical 3D printing
We are developing a 3D printer with the goal to revolutionise medical 3D printing.
Our multi-material 3D printer SAM, is the first automated professional 3D printer.
Through our innovative technologies SAM is:
easy to use
ensures highest quality
Advantages of medical 3D printing
Scan and go!
Customisations with traditional methods are very time consuming and expensive.
With our printer you can easily produce one piece at no extra cost or set up time.
Scan it - print it - go
Same day "delivery"
Our printer prints up to 50% faster than others.
Patients don't need to wait for weeks and don't need to go through multiple intrusive doctor visits.
Patients will get the body part scanned once and that is it. Within a few hours the medical device will be printed and ready to wear.
With our printer you can print complex geometries with different materials all in one piece. This doesn't only improve designs, reduces costs and production times... a perfectly printed device is easier to sterilise and makes it harder for bacteria to grow on it.
Advantages of SAM
The first automated multi-material professional 3D printer.
Print up to 6 different materials and/or colours in one go.
Our computer vision-machine learning algorithm ensures highest quality of every individual printed product. When an error is detected, the system will stop the printing or send an alert.
Our novel inductive nozzle ensures up to 50% faster printing than competitors.
External exchangeable cartridges which ensure a high adaptability of the system and allows the use of multiple materials, various nozzle sizes and different tools.
Easy to use
Our user friendly online platform, computer vision-based machine learning and the easy handling/changing of the ToolBoxes allows everyone to work with the printer.
Not only can we print biodegradable/compostable materials, 3d printing reduces CO2 emission due to the reduced delivery route/no more delivery due to in house production.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 815724
This is an AWS Creative Impact project and has received funding from the
Austrian business agency