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AI · 17 September 2026

Fortell Raises $163M to Bring AI to Hearing Aid Market

Hearing-aid startup Fortell has raised $163 million from Founders Fund, Thrive Capital and Valor Equity Partners to use AI in redesigning hearing aids as a consumer product, not just a medical device.

Newsdesk
Curated briefing · 2 min read

What happened

Hearing-aid startup Fortell has raised $163 million in funding from investors including Founders Fund, Thrive Capital and Valor Equity Partners, as it applies artificial intelligence to a product category widely seen as dominated by a handful of established manufacturers. The company was founded by Matthew de Jonge, who has spent six years developing the technology after questioning why hearing aids carry such stigma and low adoption compared with a product like glasses, which people rarely resist wearing.

Fortell's pitch centres on using AI to rethink the hearing aid as a product and an experience, rather than as a purely medical device. The scale of the raise, and the calibre of the backers, signal investor conviction that AI-driven design and manufacturing can meaningfully disrupt a market that has long been controlled by a small number of incumbent hearing aid makers.

Why it matters

This is fundamentally an AI-and-product story: Fortell is betting that AI can compress years of engineering, fitting and personalisation work that has historically kept hearing aids expensive, clinical and hard to access, into a more consumer-friendly product. If AI can meaningfully lower the cost and complexity of building and calibrating hearing aids, it opens the door to challenging an industry structure that has seen limited disruption for decades.

The underlying behavioral question — why one assistive device (glasses) carries no stigma while another (hearing aids) does — is itself a service-design and adoption problem that extends well beyond hearing health. It's a reminder that product friction is often social and emotional as much as functional, and that AI's role isn't only to improve a device's performance but potentially to reshape how comfortable people feel using it.

By the numbers

  • $163 million raised by Fortell, with participation from Founders Fund, Thrive Capital and Valor Equity Partners.
  • Six years spent by founder Matthew de Jonge developing the AI hearing aid technology before this raise.

The Renascence take

The headline here is AI and capital, but the more interesting signal is the adoption gap Fortell is chasing: a functionally similar assistive product (glasses) faces none of the resistance that hearing aids do. That gap is rarely about hardware — it's about identity, stigma and the emotional cost of admitting a limitation.

Most coverage will frame this as another well-funded AI hardware bet, but the real opportunity Fortell is chasing is behavioral, not technical: hearing loss carries a stigma that vision loss doesn't, and no amount of algorithmic improvement fixes that unless the product experience is designed to remove shame from the equation. Any operator — in health tech or elsewhere — sitting on a product with strong efficacy but weak adoption should ask whether the barrier is really performance, or whether it's the emotional story customers tell themselves about needing it. The AI here may end up mattering less for what it does inside the device than for what it enables outside it: subtler form factors, easier self-fitting, and a product that customers choose rather than concede to.

Sources

This briefing was written by our Newsdesk, synthesising reporting from the outlets below. Follow the links for the original coverage.

FAQ

Questions we get on this topic

Fortell raised $163 million from investors including Founders Fund, Thrive Capital and Valor Equity Partners.

Fortell was founded by Matthew de Jonge, who spent six years developing AI-driven hearing aid technology aimed at making the product feel more consumer-friendly rather than purely clinical.

Fortell is addressing the stigma and low adoption associated with hearing aids compared with glasses, framing this as a design and experience challenge as much as a technical one.

It highlights how AI can be used not just to improve device performance but to reduce the emotional and social friction that discourages people from adopting assistive products.

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