AudioFocus
Summer 2019InactiveHearing aids that work in noisy places, like restaurants, using ML.
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Turn this teardown into a decision-ready prompt for ChatGPT, Claude, or your agent.
Hearing aids that work in noisy places, like restaurants, using ML.
Turn this teardown into a decision-ready prompt for ChatGPT, Claude, or your agent.
AudioFocus was an Oakland-based hearing aid startup founded in May 2019 by Shariq Mobin, a UC Berkeley auditory neuroscience PhD and former Google Brain engineer.The company participated in Y Combinator's Summer 2019 batch and set out to solve the most persistent complaint in audiology: hearing aids that fail in noisy environments like restaurants.AudioFocus built a machine learning system that analyzed acoustic echo statistics to spatially isolate nearby voices from distant ones — a fundamentally different approach from conventional noise suppression.
The technology demonstrably worked in clinical settings, producing 2–3x improvements on standardized hearing tests.But AudioFocus never crossed the gap between research-grade prototype and consumer product.
The company raised only $393K in total, spent four years iterating on a behind-the-ear hardware prototype, and quietly wound down around 2023 when the founder moved to a new employer.The core failure was structural: the embedded-compute and miniaturization requirements of a wearable hearing aid were simply beyond what a four-person team with seed-stage funding could solve on a venture timeline.
Shariq Mobin spent years studying how the human brain processes sound before he ever thought about building a company. His doctoral research at UC Berkeley sat at the intersection of auditory neuroscience and machine learning — a rare combination that gave him both the scientific grounding to understand the hearing problem and the engineering tools to attempt a solution. After completing his PhD, he joined Google Brain as an engineer, where he worked on production-scale ML systems. The combination of academic depth and industry engineering experience made him an unusually credible founder for a deep-tech hardware startup. [1] [2]
The founding insight was straightforward but technically demanding. Difficulty hearing in noisy environments is the number-one complaint of more than 300 million hearing aid users globally. [3] Conventional hearing aids amplify everything — the person across the table and the kitchen noise behind them — because they lack the spatial intelligence to distinguish nearby voices from distant ones. Mobin's research suggested that the human auditory system solves this problem by analyzing the way sound echoes off nearby surfaces. A voice one meter away produces a different echo signature than a voice three meters away. If you could teach a machine learning model to read those echo statistics, you could replicate the brain's spatial filtering in software.
UC Berkeley's Intellectual Property & Industry Research Alliances (IPIRA) lists Bruno Olshausen — one of the most prominent computational neuroscientists in the world and a Berkeley faculty member — as a co-founder of AudioFocus. [4] Olshausen's theoretical work on sparse coding and neural signal processing is directly relevant to the AudioFocus algorithm. However, he does not appear on the company's public-facing website or in any press coverage, and his operational role remains ambiguous. He may have been an academic advisor listed for IP licensing purposes rather than an active company builder.
The team also included a hearing aid hardware design expert — identified on the team page as Dr. Reza Kassayan, formerly a hardware architect at EarLens — and a small group of engineers. At peak, the company had four employees. [5]
AudioFocus was formally established in May 2019 and entered Y Combinator's S19 batch the same month. [6] The company was headquartered in Oakland, California, close to both UC Berkeley and the Bay Area hardware ecosystem. The YC program gave the team early institutional credibility, a small seed check, and access to a network of investors — but the company's ambitions required far more capital than a standard YC deal provides.
Read the complete post-mortem, the rebuild playbook, and the exact reasons AudioFocus is still worth studying now.