Clinic access is not frictionless
Traditional testing can create direct and indirect costs for patients and providers.
Android-first hearing screening ยท pre-seed
Accessible and fast hearing testing on supported smartphones.
EZTON enables fast hearing screening on supported smartphones using consumer headphones. The experience combines elements of traditional hearing testing with speech-in-noise assessment, tinnitus characterization, audiogram-style reporting, and referral guidance when further clinical evaluation may be appropriate.
Working MVP
Production backend
Automated test suite
Early validation underway
Designed for accessibility
Large text, guided flow, Hebrew and English reporting.
The gap
Hearing assessment still depends on scarce clinical access.
Formal tests usually require a hearing clinic, dedicated equipment, and trained specialists. Smartphone apps are easier to access, but many users and providers still question whether consumer-device results are reliable enough to guide the next step.
Availability can delay action
Specialist capacity and appointment logistics can push assessment later than it should be.
Consumer apps need stronger evidence
Convenience alone is not enough if results are hard to interpret or compare.
Public version note: detailed market figures, clinic economics, and source-backed operating data should be shared in a private investor deck or data room.
Product
A guided mobile hearing assessment flow for accessible screening beyond the clinic.
EZTON combines a guided threshold-testing experience, speech-in-noise assessment, accessible result interpretation, referral guidance, and bilingual reports.
Actionable result summaries
Reports are designed to help users understand whether follow-up care may be needed.
Ambient check
Validates the testing environment before measurements begin.
Device-aware setup
Uses a proprietary setup layer for supported consumer headphone and phone combinations.
Adaptive testing
Runs pure-tone thresholds and speech-in-noise assessment from the phone.
Report and referral
Generates a Hebrew-English report and flags findings that need professional care.
Real app proof
Four implemented tests in one compact mobile flow.
A restrained product proof strip: one current HearApp screen per test, from tone detection through speech understanding in noise.
Pure Tone Test
Measures the quietest tones a user detects across frequency and ear.
SRT
Estimates the speech level at which spoken words become recognizable.
Speech Discrimination
Checks whether audible speech is understood accurately.
Speech in Noise
Tests word recognition while background noise is present.
Technology
A proprietary layer designed to make mobile screening more trustworthy.
Proprietary calibration layer
Designed to reduce variability across supported consumer devices without disclosing the underlying correction method publicly.
Production platform
Mobile application, production cloud backend, automated report generation, and version-controlled release practices.
Interpretation layer
Automated classification, plain-language explanations, and referral rules for cases that may require professional evaluation.
Focused beachhead
Built first for Hebrew-speaking users in Israel, with right-to-left UX patterns, large typography, and a guided testing flow.
Why now
Consumer hardware, telehealth behavior, and market timing have converged.
Consumer audio hardware has matured
Everyday headphones and phones are now good enough to support more serious screening workflows.
Apple validated demand
Consumer hearing assessment has market attention, while Android and mixed-headphone users remain underserved.
Remote care is normal
Patients and providers are more comfortable using telehealth workflows for triage and follow-up.
Evidence and status
Working product, early validation, clear next study.
EZTON is already deployed, but accuracy claims should remain screening-grade until independent prospective validation is completed.
Built and deployed
Feature-complete Android app, live backend, automated reports, and full backend test suite passing.
Early calibration cycle completed
Initial calibration work has produced a working screening flow and promising early agreement signals.
Validation still early
Detailed study design, sample composition, and raw accuracy results should stay in private materials.
Clinical reference testing
During development, participants were evaluated in a hearing institute using standard clinical hearing tests and reference equipment approved by the Israeli Ministry of Health. EZTON compares app outputs against those clinical reference measurements.
Preliminary testing suggests the approach is worth validating in a formal prospective study.
Independent validation will define the accuracy claim EZTON can responsibly make.
Paying customers, revenue, or external pilot programs claimed today.
Market entry
Start narrow, then expand through clinical and telehealth channels.
The first market is Hebrew-speaking users in Israel, where accessibility, language, and follow-up workflows create a focused entry point. From there, EZTON can expand into B2B screening, triage, and referral workflows.
Investor data to add:
TAM/SAM/SOM, primary business model, pricing logic, and letters of interest or pilot commitments.
Next phase
From MVP to a validated, defensible screening platform.
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1
Expand paired-data collection
Collect structured reference comparisons across representative users and supported device categories.
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2
Improve the calibration layer
Use the expanded dataset to strengthen performance across supported real-world conditions.
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3
Run independent validation
Measure generalization against predefined accuracy targets using held-out participants.
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4
Regulatory and pilot path
Clarify wellness versus SaMD positioning and start clinic or telehealth pilots.
The ask
Seeking an investor or strategic partner for the validation and data phase.
Funding will support the validation program, clinical reference testing, product hardening, regulatory groundwork, and first pilots.
Must-fill before outreach
- Target raise amount and use of funds
- Founder and clinical advisor bios
- Business model and pricing
- Regulatory strategy and privacy posture
- Demo link, screenshots, or short video