AI NewsBCI startup Neurable looks to license its âmind-readingâ tech for consumer wearables
BCI startup Neurable looks to license its âmind-readingâ tech for consumer wearables
10:17 PM IST ¡ April 28, 2026

BCI (brain-computer interface) technology â in which neural signals are routed from a personâs head to a computer â was once the stuff of science fiction, but these days the technology represents a competitive corner of the tech industry. One of the companies racing to commercialize BCI isNeurable, which this week announced that itâs looking to license its âmind-readingâ technology to consumer wearables. Neurable specializes in ânon-invasiveâ BCI, which distinguishes itself fromfirms like Neuralinkâ the Elon Musk-founded startup known for inserting computer chips directly into peopleâs skulls â in that its product doesnât require users to undergo brain surgery to enjoy its benefits. Neurableâs technology works through a combination of EEG sensors and signal processing that can scan a userâs brain activity, analyze it with AI, and provide information about a personâs cognitive performance. In December, Neurableraised $35 million in a Series A, which it plans to use to scale the commercialization of its technology. This week, the company announced that, as part of its expansion effort, it is looking to license its technology to a variety of consumer-facing companies. The idea is that mind-reading tech (which can provide detailed data about how a personâs brain works while theyâre engaged in various activities) could be integrated into wearables across a number of industries â including health and athletic products, productivity tools, and gaming. âThrough Neurableâs licensing platform, OEMs can directly integrate its AI-powered brain-sensing technology into existing hardware, such as headphones, hats, glasses, and headbands, while maintaining full control over product design, user experience, and distribution,â the company said in a press release on Tuesday. Neurable has already fostered partnerships with a number of companies to test out its effectiveness. This includes HP Inc.âs HyperX, a gaming brand, with which itcreated a headsetdesigned to help gamers âlevel up their game play by optimizing focus and performance.â It has also partnered witha company called iMotions, a software platform that specializes in human behavior research, to assist with the companyâs research initiatives. In an interview, Neurableâs CEO Ramses Alcaide declined to say what new partnerships the company has in the works, but said that the company was seeking to expand its purview across a host of domains. âIn the past, we were very specific about our partnerships,â Alcaide said, noting that Neurable tended to home in on a particular company to prove that a unique commercial application was worthwhile. Now that they know expectations can be met on a number of fronts, the startup is focused on scaling itself, he said. âWhat weâre doing now is weâre basically saying, like, âHey, weâve demonstrated that weâre getting great tractionâ,â Alcaide said. âLike, letâs make this as ubiquitous as heart rate sensors on your wrist, right?â Despite the ânon-invasiveâ label, brain data is arguably a little bit more intimate than the information culled from a heart rate sensor, so what kind of privacy protections does a company like Neurable provide? Alcaide said that the company ensures that user data is âprotected and anonymized.â The companyâs privacy policy provides avariety of different guidelinesfor when and how a userâs data might be accessed and used. âWe make sure we follow HIPAA standards, like weâve gone above and beyond where a lot of startups would be at our stage to make sure that we protect the data, we encrypt it, and that we anonymize it,â Alcaide said. Does Neurable leverage a userâs neural data to train its AI software? âWe can with user consent, right?â said Alcaide. âBut we do it in a very specific way.â That specific way involves asking the user whether their data can be used for the purposes of particular experiments, Alcaide said. âWe are not collecting the data, just training on it willy-nilly,â he said. In other words, this kind of data usage is quite targeted. Alcaide said that his industry is at an âinflection pointâ â one wherein there finally exists âa real business model in neuro-technology that is scalable.â What comes after that inflection point is the big question.
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