Funding
Funding not disclosed
Founders
Product
Problem
Millions of people experience tinnitus, a persistent perception of sound without an external source, yet clinicians lack an objective method to measure its severity or track changes, relying instead on subjective patient reports. This absence of quantifiable diagnostics hampers accurate diagnosis, personalized treatment planning, and assessment of therapeutic outcomes.
Solution
Silentius offers an AI‑driven platform that objectively measures tinnitus by capturing patient‑specific acoustic signatures directly from the ear canal using proprietary neuro‑auditory hardware. Advanced signal‑processing algorithms and machine‑learning models generate a detailed tinnitus profile, which informs a non‑invasive, drug‑free counter‑signal therapy tailored to each individual’s condition. The therapy delivers continuous, personalized acoustic countermeasures designed to reduce perceived tinnitus intensity and improve quality of life. All components—hardware, software, and analytics—are integrated into a clinically validated solution that operates regardless of tinnitus etiology, enabling clinicians to monitor treatment response with measurable outcomes.
Target Audience
Primary customers are audiologists, otolaryngologists, and hearing‑health clinics seeking objective diagnostic tools and personalized, non‑pharmacologic treatments for patients with chronic tinnitus.
Features
- Patent‑protected ear‑canal sensor array that captures precise acoustic and neural markers of tinnitus
- AI algorithms that translate raw sensor data into a quantitative tinnitus profile (frequency, amplitude, and pattern)
- Customizable counter‑signal therapy that emits tailored acoustic stimuli to counteract the patient’s specific tinnitus signature
- Continuous, non‑invasive delivery of therapy without the need for medication or invasive procedures
- Cloud‑based analytics dashboard for clinicians to view objective measurements, track longitudinal changes, and adjust therapy parameters
- Integration-ready API for seamless incorporation into existing audiology and otolaryngology workflows