The company pitched the technology as a complement \u2014 or potential alternative \u2014 to self-reported screening tools.<\/p>\n
The company pitched the technology as a complement \u2014 or potential alternative \u2014 to self-reported screening tools like the Patient Health Questionnaire-9, or PHQ-9, a staple of primary care and psychiatry. These tools are supposed to be used alongside formal clinical assessment, and although they are widely validated, screening rates can be low<\/a>, they depend on patients accurately describing symptoms, and they may not capture the full set of symptoms<\/a> associated with mental health disorders. Kintsugi argued its voice-based model could provide a more objective signal, expand screening to more patients, and be deployed at scale across health systems, insurers, and employer programs. Doing so, however, would require FDA clearance.<\/p>\n Kintsugi had been seeking FDA clearance through the agency\u2019s \u201cDe Novo<\/a>\u201d pathway, a route meant for novel, low-risk medical devices without an existing equivalent on the market. While intended to streamline approval for new kinds of products, it is still a process that can require years of data collection and regulatory review. Kintsugi\u2019s founder and CEO Grace Chang told The Verge a lot of time was spent teaching the regulator about AI. The framework also fits AI poorly; much is designed with more traditional devices in mind \u2014 think hip implants, surgical tools, pacemakers \u2014 whose design remains largely fixed once approved. For AI systems, that can mean locking a model that would otherwise continue to be optimized and updated over time.<\/p>\n The FDA fits AI poorly; much is designed with more traditional devices in mind.<\/p>\n Despite the Trump administration\u2019s hard push to cut red tape and get AI products into the real world as soon as possible, Chang said regulatory experts tell her that \u201cthere\u2019s nothing that helps them do that except loud yelling from the top.\u201d The approval process was further slowed by federal government shutdowns<\/a>. The startup ran out of funding waiting for its final submission.<\/p>\n Efforts to raise additional funds faltered as the company\u2019s runway shortened. Rather than accept \u201cpredatory\u201d short-term offers to meet payroll \u2014 Chang said one proposal offered around $50,000 a week in exchange for $1 million in equity \u2014 the team decided to open-source most of its technology so others might continue the work. Investors were not happy.<\/p>\n Open-sourcing a mental health screening model also raises concerns about misuse. Tools designed to flag signs of depression or anxiety could, in theory, be deployed outside clinical settings, such as by employers or insurers, without the safeguards typically required in healthcare. Obviously that shouldn\u2019t happen, but once released publicly there is little to prevent the technology from being used in ways its creators did not intend.<\/p>\n There are other complications, too. Nicholas Cummins, a senior lecturer in speech analysis and responsible AI in health at King\u2019s College London, told The Verge that open-source releases often lack the detailed \u201cpaper trail\u201d regulators expect, including a clear record of how a model was trained, validated, and tested for safety. Without that, he said, bringing a product built on the technology through FDA approval could prove difficult.<\/p>\n Open-sourcing a mental health screening model also raises concerns about misuse.<\/p>\n More likely, Cummins suggested, companies would treat the model as a starting point and layer their own data and validation processes on top. Even then, he cautioned voice-based systems remain imperfect and carry a \u201creasonable\u201d risk of errors, he warned, especially for conditions like depression, which manifest differently across individuals, languages, and cultural contexts and depend heavily on the diversity and structure of speech data used in training.<\/p>\n Chang did not dismiss concerns about potential misuse, but said \u201cit\u2019s less of a concern in practice than it might appear in theory.\u201d The organizations with the greatest incentives to abuse the technology, she argued, are also those that \u201cface the highest barriers to actually deploying it.\u201d In Chang\u2019s view, \u201cthe more realistic risk is underuse, not misuse.\u201d<\/p>\n While Kintsugi\u2019s mental health screening technology has been open-sourced, Chang said not all of the company\u2019s technology has been released publicly. In part, this is for security concerns, she said, as chief among it is technology<\/a> that can detect synthetic or manipulated voices.<\/p>\n Chang said the capability emerged when the team experimented with AI-generated speech to strengthen its mental health models. The synthetic audio lacked the vocal signals the model was trained to recognize, revealing that it could be used to distinguish between human and AI-generated voices. It is a growing challenge given the proliferation of AI slop<\/a> and fraudulent deepfakes<\/a> and one that has yet to be reliably solved. It is a potentially lucrative opportunity, and, thankfully for Kintsugi, an area that is not subject to FDA oversight.<\/p>\n Chang declined to speculate on her next move or whether Kintsugi\u2019s security-focused technology might resurface, but she said she wishes someone else would build on the company\u2019s work and carry it through the final stages of the FDA process. But without broader changes, Kintsugi\u2019s shutdown is unlikely to be the last example of startup timelines clashing with medical regulation, and Chang said she hopes that reality doesn\u2019t deter other founders from trying.<\/p>\n Follow topics and authors from this story to see more like this in your personalized homepage feed and to receive email updates.Robert HartClose Robert Hart<\/p>\n Posts from this author will be added to your daily email digest and your homepage feed.<\/p>\n FollowFollow<\/p>\n See All by Robert Hart<\/a><\/p>\n AIClose<\/p>\n AI<\/p>\n Posts from this topic will be added to your daily email digest and your homepage feed.<\/p>\n FollowFollow<\/p>\n See All AI<\/a><\/p>\n HealthClose<\/p>\n Health<\/p>\n Posts from this topic will be added to your daily email digest and your homepage feed.<\/p>\n FollowFollow<\/p>\n See All Health<\/a><\/p>\n ReportClose<\/p>\n Report<\/p>\n Posts from this topic will be added to your daily email digest and your homepage feed.<\/p>\n FollowFollow<\/p>\n![\"Robert](\"https:\/\/www.newsbeep.com\/nz\/wp-content\/uploads\/2026\/04\/ROB_H_BLURPLE.jpg\"\/)
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