We are a small British business based in London.
At Earzz, our mission is to make people's lives easier and safer by allowing them to interact with the world around them without any physical barriers. We strive to provide our customers with the ultimate convenience and peace of mind by using our cutting-edge AI technology to recognise every sound that matters in their lives.
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Privacy
Empathy
Quality
Integrity
Innovation
At Earzz, we are a team of dedicated professionals driven by a shared vision of inclusivity and accessibility. Our diverse backgrounds in technology, engineering, and audiology enable us to create solutions that make a meaningful impact. We are committed to pushing the boundaries of sound recognition technology to unlock new possibilities for everyone.
We believe in creating products that prioritise privacy and respect the confidentiality of our customers' lives.
We believe in putting ourselves in our customers' shoes and understanding their needs to create products that truly improve their lives.
We are committed to delivering high-quality products that are reliable, efficient, and easy to use.
We value honesty and transparency and always aim to do what is right for our customers, employees, and stakeholders.
We strive to be at the forefront of technology and continuously innovate to provide our customers with the best products and services.
Our team of experts is passionate about creating innovative products that make a positive impact.
We are always on the lookout for passionate and talented individuals who share our vision.
Join us
Because Every Sound Matters!
Product Disclaimer: Please note that Earzz has limitations and should not be relied upon in high-risk or emergency situations. The device won't work if used improperly or damaged. Earzz is continually improving, but it may not always be accurate or reliable in recognising sounds. See user manual for full details.
*Billed annually, see terms and conditions at www.earzz.com/website-terms-of-service
**Notifications are usually delivered within 5 seconds of the sound event once recognised although this may vary depending on network.
