Built on our leading-edge Augmented Xperience platform, Styletto AX uses our proprietary Augmented Focus™ technology to split speech from surrounding sounds, process them separately, and recombine them to deliver outstanding speech clarity in an immersive environment.
From our all-in-one Signia app to our Connexx fitting software, Signia supports you and your clients at every step.
Inspired by the way the human brain’s neural network solves challenges, the Signia Assistant offers immediate support whenever wearers need to adjust their settings. When a change is made, the Assistant collects information regarding the wearer and the acoustic situation. You can see all these interactions between the wearer and the Assistant in the Connexx fitting software.
The live deep neural network AI that drives the Signia Assistant marks a revolution in hearing care. It is a living system that continuously learns about individual needs in specific situations, moving from a one-size-fits-all approach to data-driven knowledge for precisely tuned hearing for every individual. As a result, 93% of users regard the Signia Assistant as a meaningful innovation that raises their satisfaction with their hearing aids in difficult listening situations.
It can also drive sales because an overwhelming 87% of consumers would choose hearing aids with such an AI assistant when buying new devices.5
Yes. CROS Styletto AX is compatible with the AX devices mentioned above which support:
1Red Dot Design Award 2019 for Styletto Connect, iF Design Award 2019 for Styletto
2Jensen, Pischel, Taylor, Schulte: Performance of Signia AX in At-Home Listening Situations (Signia White Paper, 2021)
3Based on 19 hours wearing per day, or 16 hours wearing incl. 5 hours streaming per day
4All ASHA-compatible Android phones
5Hoydal, Fisher, Wolf, Branda, Aubreville: Empowering the wearer: AI-based Signia Assistant allows individualized hearing care (Hearing Review 2020;27(7):22-26)
6Hakvoort, Burton: Increasing Style, Reducing Stigma: The Styletto Solution (Signia Backgrounder, 2018)