After an initial market pull for so-called personal care, White hopes such neural networks on plastic could break into the health industry, since the underlining technology is applicable to many biomedical applications. With neural networks, you could have an array of different analytes and fused sensor data which would not necessarily give a predetermined 1/1 match answer but more complex diagnostics, Whites anticipates.
Regarding the IP and design approach, PragmatIC says the FlexICs can be designed using a conventional EDA flow. For now, the company is doing full custom designs as well as sharing its Process Development Kit with selected close partners (such as ARM), but in the future PragmatIC expects plastic chip design to follow the path of silicon, with standard IP libraries and third-party designs based on a PDK.
The self-contained and fully automated FlexLogIC system is modular in construction, calling for a capital investment several orders of magnitude smaller than a new silicon IC fab, yet opening up the potential for a distributed and highly scalable manufacturing model for embedding electronics in everyday objects. Production cycle time is under a day compared with over a month for a silicon IC, making it possible to develop and test flexible electronic solutions at very short notice before mass deployment.
PragmatIC is now focused on ramping its production in order to fulfil demand for applications with some of the worlds’ largest consumer brands. That includes partner and investor Avery Dennison, the world's leader in RFID labels committed to deliver fully printed RFID labels for specific consumer applications.
ARM – www.arm.com
PragmatIC - www.pragmatic.tech