LinkedIn · Aug 2024
Shariq Mobin announced that AudioFocus was selected for NIA funding through Johns Hopkins and the a2 Collective, confirming ongoing research support for the company.
Hearing aids that work in noisy places, like restaurants, using ML.
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
AudioFocus is a 2019 Oakland-area hearing-tech startup building ML-powered hearing aids that selectively amplify nearby voices in noisy environments using echo-statistics-based sound selection, custom microphone arrays, and low-power AI hardware.
Primary product
ML-powered hearing aids for noisy places
Founded
2019
Headquarters
Oakland, California, United States
Team size
1-10
Industry
Medical Equipment Manufacturing
Sub-industry
Assistive hearing technology / hearing aids
Offices
0 jobs at AudioFocus
Check back later for new openings
Business model
Stage
seed
Total raised
$150K
Latest round
Corporate Round · Dec 2019
Dec 2019
Aug 2019 · Y Combinator
Investors
The public site describes the team as close-knit and resourceful, with a care-first, control-oriented, and privacy-conscious approach.
Differentiators
Technology
Competitors
Estimated revenue
≈$6M estimated ARR (2024)
Estimated monthly visits
1.9K
Traffic estimate as of Jul 2026
LinkedIn · Aug 2024
Shariq Mobin announced that AudioFocus was selected for NIA funding through Johns Hopkins and the a2 Collective, confirming ongoing research support for the company.
a2 Collective · Jul 2024
Program announcement for NIA-backed AI and aging pilot funding; useful context for AudioFocus's 2024 grant announcement and research trajectory.
Hacker News · Jul 2023
Founder post describing a behind-the-ear prototype, a pilot study, and the product vision for hearing speech in noisy places.
Patch / HLAA East Bay Chapter · Dec 2019
Early public talk by Shariq Mobin explaining the company's research goals, demo/contact details, and the noisy-speech problem it aims to solve.
UC Berkeley IPIRA
University research profile describing the deep-learning, binaural-cue-based approach AudioFocus was developing in collaboration with Berkeley-linked research.