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    • About us
    • For Researchers
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Walnot
  • Home
  • About us
  • For Researchers
  • Products
  • Publications
  • Honors & Awards
  • Contact

More Data at a Fraction of Cost!

Collect More High Quality Publishable Brain Data With Fewer Participants While Spending Less

A fully self-administered pipeline — participants wear, set up, record, and upload from home. Researchers get lab-quality data in the cloud. Higher data frequency per participant and quicker setup means researchers save money and do more research at a fraction of the cost.

View Product

50+

<2 min

> 0.9

Session Per Participants

> 0.9

<2 min

> 0.9

Test-Retest Reliability

<2 min

<2 min

<2 min

AR Guided Self-setup

Great Solution for Longitudinal Studies

Walnot's portable kit eliminates the biggest bottleneck in longitudinal brain research: repeatable, scalable data collection in the real world.

With the Walnot wearable headband, participants can complete sessions at home, on their own schedule, without requiring a researcher onsite.


What used to be a scheduling problem becomes a data advantage.


Instead of struggling to get 3–4 lab visits, researchers can reliably collect:

  • 10, 20, even 50+ sessions per participant
  • High-frequency data across days, weeks, or months
  • Real-world variability that lab settings miss

True self-administration. Lab-quality data.

After a short orientation session, the research participants take the kit home. open the app. AR guidance walks them through headband placement in under 2 minutes and verifies signal quality before any data collection begins. They complete their cognitive or any free-style tasks for 10-20 minutes per day. You see the session data appear in your HIPAA-compliant researcher dashboard. 


No researcher required on-site. No scheduling bottleneck. Sessions happen on the participant's schedule — morning, evening, weekend.



Peer-reviewed. Published. Reliability >0.9

Our published data in npj Digital Medicine (Rahimpour et al., 2025) shows that dense-sampled at-home wNIRS sessions achieve Reliability >0.9 — the accepted publication threshold — across all four cognitive tasks: N-Back (Working Memory), Flanker (Attention), Go/No-Go (Inhibitory Control), and Rest-State.


"Dense-sampled wearable fNIRS data improves the reliability and specificity of functional connectivity measures."

— Rahimpour et al., 2025, npj Digital Medicine


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Reserve a Pilot Kit For Your Next Study!

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