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BCI (brain-computer interface) technology \u2014 in which neural signals are routed from a person\u2019s head to a computer \u2014 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 is Neurable, which this week announced that it\u2019s looking to license its \u201cmind-reading\u201d technology to consumer wearables.<\/p>\n
Neurable specializes in \u201cnon-invasive\u201d BCI, which distinguishes itself from firms like Neuralink \u2014 the Elon Musk-founded startup known for inserting computer chips directly into people\u2019s skulls \u2014 in that its product doesn\u2019t require users to undergo brain surgery to enjoy its benefits.<\/p>\n
Neurable\u2019s technology works through a combination of EEG sensors and signal processing that can scan a user\u2019s brain activity, analyze it with AI, and provide information about a person\u2019s cognitive performance.<\/p>\n
In December, Neurable raised $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.<\/p>\n
The idea is that mind-reading tech (which can provide detailed data about how a person\u2019s brain works while they\u2019re engaged in various activities) could be integrated into wearables across a number of industries \u2014 including health and athletic products, productivity tools, and gaming. \u201cThrough Neurable\u2019s 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,\u201d the company said in a press release on Tuesday.<\/p>\n
Neurable has already fostered partnerships with a number of companies to test out its effectiveness. This includes HP Inc.\u2019s HyperX, a gaming brand, with which it created a headset designed to help gamers \u201clevel up their game play by optimizing focus and performance.\u201d It has also partnered with a company called iMotions, a software platform that specializes in human behavior research, to assist with the company\u2019s research initiatives.<\/p>\n
In an interview, Neurable\u2019s 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. <\/p>\n
Techcrunch event<\/p>\n
\n\t\t\t\t\t\t\t\t\tSan Francisco, CA<\/span> \u201cIn the past, we were very specific about our partnerships,\u201d 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.<\/p>\n \u201cWhat we\u2019re doing now is we\u2019re basically saying, like, \u2018Hey, we\u2019ve demonstrated that we\u2019re getting great traction\u2019,\u201d Alcaide said. \u201cLike, let\u2019s make this as ubiquitous as heart rate sensors on your wrist, right?\u201d<\/p>\n Despite the \u201cnon-invasive\u201d 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? <\/p>\n Alcaide said that the company ensures that user data is \u201cprotected and anonymized.\u201d The company\u2019s privacy policy provides a variety of different guidelines for when and how a user\u2019s data might be accessed and used. \u201cWe make sure we follow HIPAA standards, like we\u2019ve 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,\u201d Alcaide said.<\/p>\n Does Neurable leverage a user\u2019s neural data to train its AI software? \u201cWe can with user consent, right?\u201d said Alcaide. \u201cBut we do it in a very specific way.\u201d That specific way involves asking the user whether their data can be used for the purposes of particular experiments, Alcaide said. \u201cWe are not collecting the data, just training on it willy-nilly,\u201d he said. In other words, this kind of data usage is quite targeted.<\/p>\n Alcaide said that his industry is at an \u201cinflection point\u201d \u2014 one wherein there finally exists \u201ca real business model in neuro-technology that is scalable.\u201d What comes after that inflection point is the big question.<\/p>\n<\/div>\n
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\n\t\t\t\t\t\t\t\t\t\t\t\t\tOctober 13-15, 2026<\/span>\n\t\t\t\t\t\t\t<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n