the industry won't tell you about
"The 'restaurant trauma': You're sitting in a restaurant or at a family gathering and—despite wearing expensive hearing aids—you understand nothing but noise. The background sounds get amplified so much that voices disappear. You withdraw, just nod politely while understanding nothing, and slowly slip into social isolation. You're present, but no longer *part of it*."
The market has convinced you: 'The more expensive the hearing aid, the better the understanding.' That's wrong. Most people think the problem is volume. They think: 'If I just make it louder, I'll understand better.' But volume is not clarity. That is the biggest misconception—one that costs you thousands of euros.
Your ear is not the main problem—it's your brain's filtering ability. Traditional hearing aids amplify noise (like clattering silverware) just as much as speech. The result is chaos. The solution isn't smaller hardware—it's external computing power. We need to eliminate the noise before it reaches your ear.
Your hearing lacks the ability to separate important sounds from unimportant ones. Since your brain can't manage that anymore—and the tiny chips inside hearing aids are far too weak—we need to outsource the process. You don't need more amplification; you need an AI 'washing machine' for sound. An intelligence that removes noise completely and passes only the clean voice to you.
We use the supercomputer you already carry in your pocket: your iPhone.
Our app clir Hearing turns it into a directional microphone with high-performance AI.
1. You place the phone on the table.
2. The AI detects speech and isolates it in real time.
3. Background noise is eliminated.
4. The crystal-clear voice is streamed directly to your AirPods or hearing aids.
Hearing-aid manufacturers are years behind in AI development. We leverage the computing power of modern smartphones, which are 1000× more powerful than any hearing aid on the market. Thousands of users and a 4.9-star rating confirm: Finally hold conversations again—without having to say 'What?' all the time.