BCI startup Neurable looks to license its ‘mind-reading’ tech for consumer wearables

Source: TechCrunch

Neurable specializes in “non‑invasive” brain‑computer interface (BCI) technology, which captures neural signals via EEG sensors and AI‑driven signal processing. Unlike invasive approaches such as Elon Musk’s Neuralink, Neurable’s solution does not require brain surgery.

Funding and Expansion

In December, Neurable raised $35 million in a Series A round [source]. The company plans to use this capital to scale commercialization and is now looking to license its technology to consumer‑facing companies.

Licensing Platform

Through its licensing platform, original equipment manufacturers (OEMs) can embed Neurable’s AI‑powered brain‑sensing tech into existing hardware—such as headphones, hats, glasses, and headbands—while retaining control over product design, user experience, and distribution. The goal is to make mind‑reading capabilities as ubiquitous as heart‑rate sensors.

Existing Partnerships

• HP Inc.’s HyperX – Co‑developed a gaming headset that optimizes focus and performance [press release].
• iMotions – Integrated Neurable’s headset into a human‑behavior research platform [blog post].

CEO Insights

Ramses Alcaide, Neurable’s CEO, indicated that the company is moving from targeted, single‑partner pilots to broader scaling across multiple domains. He likened the envisioned ubiquity of the technology to that of wrist‑worn heart‑rate sensors.

“We’ve demonstrated great traction. Now we want to make this as ubiquitous as heart‑rate sensors on your wrist.” – Ramses Alcaide

Privacy and Data Protection

Neurable emphasizes that user data is protected, anonymized, and encrypted, adhering to HIPAA standards and additional internal safeguards [privacy policy]. Data usage for AI training requires explicit user consent and is limited to specific, consented experiments.

Industry Outlook

Alcaide described the neuro‑technology sector as being at an inflection point, with a scalable business model now emerging. The next challenge is determining how the technology will be adopted beyond early adopters and niche applications.