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Wearable Sensing

Full company profile

uuid0008lek

Namestring
Wearable Sensing
Legal namestring
Wearable Sensing
Company typeenum
Private
Founded yearint
2013
Descriptiontext

Wearable Sensing is a San Diego-based, privately-held company founded in 2013 that develops and commercializes wireless dry electrode EEG brain monitoring headsets and complementary multimodal biometric sensors for research, clinical, and applied neuroscience applications. The company licenses its core dry-electrode technology from QUASAR — patented circuits with ultra-high input impedance amplifiers (>47 GOhms), active common-mode noise cancellation, Faraday shielding, and a spring-isolated mechanical pod design originally developed under DARPA, Army, Air Force, NSF, and NIH funding — enabling high-fidelity EEG recordings through hair without skin preparation, gels, or trained technicians. Its product portfolio spans the DSI-series dry EEG headsets (DSI-24 with 21 channels, DSI-7, DSI-VR300, DSI-Flex), the DSI-Hybrid EEG+fNIRS system, Mindful Mobile high-density wet EEG systems (8–64 channels), T-SENS biometric sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU, sEMG), and supporting software (DSI Streamer, QStates ML cognitive state classification, CAPTIV/CAPTIV Neurolab multimodal analysis, SSVEP BCI algorithms).

The company generates revenue through three streams: hardware sales of EEG headsets and sensor systems, software licensing (including the QStates ML cognitive classification platform), and custom development services for bespoke EEG/biometric solutions. It pursues an enterprise field-sales go-to-market targeting research institutions, universities, healthcare organizations, government agencies, and medical-device integrators — evidenced by named customers including Harvard, Yale, Cornell, Stanford, OHSU, NASA, NIH, Lockheed Martin, Adobe, Panasonic, Procter & Gamble, Lululemon, and Red Bull, plus 205+ third-party academic publications referencing the platform. Notable partnerships include a core technology license from QUASAR, a clinical integration with Neurolutions (DSI-7 powering the IpsiHand FDA-cleared stroke rehabilitation BCI), and a software collaboration with China's Neuracle for SSVEP BCI algorithms. Manufacturing is conducted in an ISO 13485-certified US facility, supporting clinical and medical-device-grade deployments.

Short descriptiontext

Wearable Sensing is a privately-held San Diego company that designs and sells wireless dry electrode EEG headsets and multimodal biometric sensors, primarily serving academic neuroscience researchers, clinical neurofeedback practitioners, neuromarketing firms, and medical-device developers.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSan Diego, United States
HQ citystring
San Diego
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
dry electrode EEG, wearable brain monitoring, brain-computer interface, neurofeedback equipment, multimodal biometric sensors
Industry1 code
1Neurological Monitoring (EEG, Seizure/Sleep/Neuro Wearables)
CodeHLAHACAEPrimaryYes
NAICS code2 codes
  • Electromedical and Electrotherapeutic Apparatus Manufacturing334510
  • Navigational, Measuring, Electromedical, and Control Instruments Manufacturing33451
SIC code2 codes
  • Electromedical & Electrotherapeutic Apparatus3845
  • Surgical & Medical Instruments & Apparatus3841
Product category
Wearable EEG Systems
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model3 records
1Hardware Sales
TypeHardware Sales
Description

Sale of EEG headsets and sensor systems including DSI-24, DSI-7, DSI-VR300, DSI-Flex, Mindful Mobile high-density EEG, and multimodal sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU).

wearablesensing.com
2Software Licensing
TypeSubscription Recurring
Description

Licensing of software products including QStates cognitive state classification, DSI Streamer data acquisition, CAPTIV, CAPTIV Neurolab, and SSVEP BCI algorithms.

wearablesensing.com
3Custom Development Services
TypeProfessional Services
Description

Custom product development services for companies needing bespoke EEG or biometric solutions, leveraging over 20 years of dry sensor development experience.

wearablesensing.com
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components6 values
Technology or R&D, Personnel, Supply Chain, Operations, Marketing or Sales, Infrastructure
GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Brand1 of 13 records shown
1DSI-24
Description

Wireless, Mobile, Dry-EEG headset with 21 channels and 3 auxiliary inputs; designed for full head coverage EEG

wearablesensing.com
+12 more records
Core offering1 text field

Wearable Sensing designs, manufactures, and sells wireless dry-electrode EEG headsets and multimodal biometric sensors under the DSI product line, along with associated software for data acquisition and cognitive state classification. Its products serve research institutions, universities, healthcare organizations, neurofeedback clinics, neuromarketing firms, and medical device developers needing research-grade brain monitoring without gels or skin preparation.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • EEG signal correlation >90% between dry and wet electrodes for alpha activity and auditory evoked potentials
+3 more records
Product overview1 text field

Wearable Sensing offers a comprehensive portfolio of dry electrode EEG systems and multimodal biometric sensor solutions for research, clinical, and applied settings. The core product line centers on DSI-series dry EEG headsets (DSI-24, DSI-7, DSI-VR300, DSI-Flex) featuring research-grade signal quality without the need for gels or skin preparation. The product family also includes the DSI-Hybrid EEG+fNIR system combining EEG with functional near-infrared spectroscopy for neurovascular coupling research, and Mindful Mobile wet EEG systems in 8-64 channel configurations. Supporting the hardware are T-SENS wireless biometric sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU, accelerometer, sEMG) and the T-Receiver for synchronized multi-sensor data acquisition. Software offerings include DSI Streamer for data acquisition, QStates cognitive state classification algorithms, CAPTIV and CAPTIV Neurolab for multimodal data synchronization and neuromarketing analysis, and SSVEP BCI Algorithms for brain-computer interface applications. Accessories include trigger hubs, VR adaptor kits, and replacement electrodes.

Product and service12 records
1DSI-24
CategoryDry EEG Headset
Description

Wireless, mobile dry-EEG headset with 21 channels and 3 auxiliary inputs designed for full head coverage EEG recording in research and clinical applications.

2DSI-7
CategoryDry EEG Headset
Description

Wireless, mobile dry-EEG headset with 7 channels designed for ease of use and home setting EEG applications.

3DSI-VR300
CategoryDry EEG Headset
Description

Wireless, mobile dry-EEG headset with 7 channels designed for P300 and VEP applications and easy VR integration.

4DSI-Flex
CategoryDry EEG Headset
Description

Wireless, mobile dry-EEG headset with 7 flexible channels designed for research requiring changing sensor locations.

5DSI-Hybrid EEG + fNIR
CategoryHybrid Neuroimaging System
Description

Wireless dry EEG + fNIR system designed for synchronized recording of EEG and hemodynamic response or BOLD response, combining an EEG electrode with 4 emitters and 4 detectors in a single pod.

6Mindful Mobile
CategoryHigh-Density EEG System
Description

Wireless, mobile wet EEG system available in 8, 16, 32, or 64 channels designed for high-density EEG recording.

7T-SENS Series
CategoryMultimodal Biometric Sensors
Description

Comprehensive suite of wireless biometric sensors including ECG, EMG, EOG, GSR, RESP, TEMP, IMU, 3D Accelerometer, sEMG, Universal Module, Load Cell, and FSR for force measurement.

8QStates
CategoryCognitive State Classification Software
Description

Machine learning software for DSI systems enabling cognitive state classification (mental workload, engagement, fatigue) in an easy-to-use platform with real-time and off-line assessment at >90% accuracy.

9CAPTIV
CategoryData Acquisition Software
Description

Data acquisition and analysis software for synchronizing T-SENS biometric sensors and other multimodal sensors.

10CAPTIV Neurolab
CategoryNeuromarketing Analysis Software
Description

Presentation and analysis software for neuromarketing that can synchronize EEG, Eye-Tracking, GSR, and Facial Coding.

11SSVEP BCI Algorithms
CategoryBrain-Computer Interface Software
Description

Software platform enabling user-friendly SSVEP paradigm for BCI applications and research with customizable 12-count and 40-count keyboards for ultra-rapid, high-accuracy classification.

12Custom Development Services
CategoryCustom Engineering Services
Description

Bespoke EEG and biometric sensor development services for companies needing customized solutions, leveraging more than 20 years of dry sensor development experience.

Scale indicator2 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierCoreTypeOEM/ Whitelabel/ Licensing Partner
Description

QUASAR developed dry electrode EEG technology under funding from DARPA, Army, Air Force, NSF, and NIH. Wearable Sensing has licensed QUASAR's technology for commercializing dry EEG applications. This is the core technology underlying all Wearable Sensing products.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Wearable Sensing created a custom dry EEG system for Red Bull to measure brainwaves during professional surfing. The system was used on professional surfers to study the neurophysiological aspects of surfing and peak performance states.

Strategic tierCoreTypeTechnology or Integration
Description

Neurolutions uses Wearable Sensing's DSI-7 in their IpsiHand system for upper extremity stroke rehabilitation. The DSI-7 decodes motor imagery signals to control an exoskeleton for restoring limb function in chronic stroke patients.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Dr. Adi Korisky from Stanford University is featured in Wearable Sensing's RevolutionizingEEG webinar series presenting research on studying attention in classrooms using dry EEG technology.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Dr. Betts Peters and Dr. Melanie Fried-Oken at OHSU developed a P300 speller using the DSI-24 and validated its functionality on participants with Locked-In syndrome.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Established German manufacturer of research-grade EEG systems and accessories. Directly competes with Wearable Sensing in the academic and clinical research EEG market, though Brain Products' portfolio is wet-electrode-centric and broader in channel depth.

TypeDirect peer
Description

Netherlands-based supplier of EEG, MEG, and fNIRS research systems with strong academic and clinical positioning. Closely comparable to Wearable Sensing in the neuroscience research buyer segment, with overlapping target customers and a similar modality mix including hybrid fNIRS offerings.

TypeDirect peer
Description

US-based developer of mobile and dry-electrode EEG headset systems for research and clinical applications. Head-to-head competitor to Wearable Sensing in the dry, wireless, research-grade EEG niche with similar product positioning around mobility and rapid setup.

TypeDirect peer
Description

Serbia-based manufacturer of lightweight, mobile EEG headsets (e.g., Smarting) for mobile brain imaging and BCI research. Direct peer in the wearable, ambulatory, dry/wet EEG segment targeting academic and applied-neuroscience research.

TypeDirect peer
Description

Austrian developer of high-performance EEG, BCI, and neurorehabilitation systems including the g.tec mindBEAGLE and recoveriX products. Comparable to Wearable Sensing as a BCI research and clinical platform, and a competitor in the medical BCI channel alongside Neurolutions.

TypeDirect peer
Description

Consumer- and prosumer-focused EEG headset company (Epoc X, MN8) with a software/insights platform. Overlaps with Wearable Sensing in dry-electrode wireless EEG, though Emotiv's center of gravity is consumer and applied research versus Wearable Sensing's research-grade positioning.

TypeDirect peer
Description

Open-source EEG, EMG, ECG, and bioelectrical signal acquisition platform used by researchers, hackers, and developers. Comparable to Wearable Sensing in the wireless, multi-sensor BCI/research niche, with a more open and lower-cost commercial model.

TypeDirect peer
Description

Spanish neurotechnology company offering EEG hardware (e.g., Versatile EEG, Diadem) plus software for neuroscience, neuromarketing, BCI, and neuroergonomics. Direct peer in dry/wireless EEG and overlapping applications portfolio with Wearable Sensing.

TypeBroad incumbent
Description

Long-established high-density EEG systems vendor (now part of Philips) serving clinical and research markets. Comparable to Wearable Sensing as a research-grade EEG provider, but operating as a broader, well-capitalized incumbent with a more clinical and legacy wet-system orientation.

TypeOthers
Description

Biosensor and neuromarketing platform that aggregates EEG, eye-tracking, GSR, facial coding, and other biometric data. Comparable to Wearable Sensing in the neuromarketing and multimodal sensing application areas, but as an integrating software platform rather than a competing EEG hardware vendor.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat4 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers9 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile5 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration10 records

Each record includes

Title, Type, Description, Source

AI capability2 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles1 record

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds1 record

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors1 record

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Wearable Sensing

Wearable EEG Systemswearablesensing.com

Wearable Sensing is a privately-held San Diego company that designs and sells wireless dry electrode EEG headsets and multimodal biometric sensors, primarily serving academic neuroscience researchers, clinical neurofeedback practitioners, neuromarketing firms, and medical-device developers.

What Wearable Sensing does

Wearable Sensing is a San Diego-based, privately-held company founded in 2013 that develops and commercializes wireless dry electrode EEG brain monitoring headsets and complementary multimodal biometric sensors for research, clinical, and applied neuroscience applications. The company licenses its core dry-electrode technology from QUASAR — patented circuits with ultra-high input impedance amplifiers (>47 GOhms), active common-mode noise cancellation, Faraday shielding, and a spring-isolated mechanical pod design originally developed under DARPA, Army, Air Force, NSF, and NIH funding — enabling high-fidelity EEG recordings through hair without skin preparation, gels, or trained technicians. Its product portfolio spans the DSI-series dry EEG headsets (DSI-24 with 21 channels, DSI-7, DSI-VR300, DSI-Flex), the DSI-Hybrid EEG+fNIRS system, Mindful Mobile high-density wet EEG systems (8–64 channels), T-SENS biometric sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU, sEMG), and supporting software (DSI Streamer, QStates ML cognitive state classification, CAPTIV/CAPTIV Neurolab multimodal analysis, SSVEP BCI algorithms).

The company generates revenue through three streams: hardware sales of EEG headsets and sensor systems, software licensing (including the QStates ML cognitive classification platform), and custom development services for bespoke EEG/biometric solutions. It pursues an enterprise field-sales go-to-market targeting research institutions, universities, healthcare organizations, government agencies, and medical-device integrators — evidenced by named customers including Harvard, Yale, Cornell, Stanford, OHSU, NASA, NIH, Lockheed Martin, Adobe, Panasonic, Procter & Gamble, Lululemon, and Red Bull, plus 205+ third-party academic publications referencing the platform. Notable partnerships include a core technology license from QUASAR, a clinical integration with Neurolutions (DSI-7 powering the IpsiHand FDA-cleared stroke rehabilitation BCI), and a software collaboration with China's Neuracle for SSVEP BCI algorithms. Manufacturing is conducted in an ISO 13485-certified US facility, supporting clinical and medical-device-grade deployments.

Wearable Sensing firmographics

Firmographics
Name
Wearable Sensing
Legal name
Wearable Sensing
Website
https://wearablesensing.com
Company type
Private
Founded year
2013
Operating status
Operating
Headcount range
11–50 employees
Short description
Wearable Sensing is a privately-held San Diego company that designs and sells wireless dry electrode EEG headsets and multimodal biometric sensors, primarily serving academic neuroscience researchers, clinical neurofeedback practitioners, neuromarketing firms, and medical-device developers.
Ownership category
akta.pro rank

Wearable Sensing industry classification

Industry
Product category
Wearable EEG Systems
NAICS
Electromedical and Electrotherapeutic Apparatus Manufacturing (334510), Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)
SIC
Electromedical & Electrotherapeutic Apparatus (3845), Surgical & Medical Instruments & Apparatus (3841)
akta.pro primary industry
Neurological Monitoring (EEG, Seizure/Sleep/Neuro Wearables) (HLAHACAE)

Keywords

  • Dry electrode EEG
  • Wearable brain monitoring
  • Brain-computer interface
  • Neurofeedback equipment
  • Multimodal biometric sensors

Where Wearable Sensing is headquartered

Location

Headquarters

HQ city
San Diego
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Wearable Sensing business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Technology or R&D, Personnel, Supply Chain, Operations, Marketing or Sales, Infrastructure

Revenue model

  1. Hardware Sales: Sale of EEG headsets and sensor systems including DSI-24, DSI-7, DSI-VR300, DSI-Flex, Mindful Mobile high-density EEG, and multimodal sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU).
  2. Software Licensing: Licensing of software products including QStates cognitive state classification, DSI Streamer data acquisition, CAPTIV, CAPTIV Neurolab, and SSVEP BCI algorithms.
  3. Custom Development Services: Custom product development services for companies needing bespoke EEG or biometric solutions, leveraging over 20 years of dry sensor development experience.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels7 records

Wearable Sensing product offering

Product offering

Core offering

Wearable Sensing designs, manufactures, and sells wireless dry-electrode EEG headsets and multimodal biometric sensors under the DSI product line, along with associated software for data acquisition and cognitive state classification. Its products serve research institutions, universities, healthcare organizations, neurofeedback clinics, neuromarketing firms, and medical device developers needing research-grade brain monitoring without gels or skin preparation.

Product overview

Wearable Sensing offers a comprehensive portfolio of dry electrode EEG systems and multimodal biometric sensor solutions for research, clinical, and applied settings. The core product line centers on DSI-series dry EEG headsets (DSI-24, DSI-7, DSI-VR300, DSI-Flex) featuring research-grade signal quality without the need for gels or skin preparation. The product family also includes the DSI-Hybrid EEG+fNIR system combining EEG with functional near-infrared spectroscopy for neurovascular coupling research, and Mindful Mobile wet EEG systems in 8-64 channel configurations. Supporting the hardware are T-SENS wireless biometric sensors (ECG, EMG, EOG, GSR, RESP, TEMP, IMU, accelerometer, sEMG) and the T-Receiver for synchronized multi-sensor data acquisition. Software offerings include DSI Streamer for data acquisition, QStates cognitive state classification algorithms, CAPTIV and CAPTIV Neurolab for multimodal data synchronization and neuromarketing analysis, and SSVEP BCI Algorithms for brain-computer interface applications. Accessories include trigger hubs, VR adaptor kits, and replacement electrodes.

Differentiator

Problem solved

Functional benefit

Brands

  • DSI-24: Wireless, Mobile, Dry-EEG headset with 21 channels and 3 auxiliary inputs; designed for full head coverage EEG
  • DSI-7
  • DSI-VR300
  • DSI-Flex
  • DSI-Hybrid EEG + fNIR
  • Mindful Mobile
  • QStates
  • DSI Streamer
  • CAPTIV
  • CAPTIV Neurolab
  • SSVEP BCI Algorithms
  • T-SENS
  • DSI Series

Products and services

  • DSI-24 Wireless, mobile dry-EEG headset with 21 channels and 3 auxiliary inputs designed for full head coverage EEG recording in research and clinical applications.
  • DSI-7 Wireless, mobile dry-EEG headset with 7 channels designed for ease of use and home setting EEG applications.
  • DSI-VR300 Wireless, mobile dry-EEG headset with 7 channels designed for P300 and VEP applications and easy VR integration.
  • DSI-Flex Wireless, mobile dry-EEG headset with 7 flexible channels designed for research requiring changing sensor locations.
  • DSI-Hybrid EEG + fNIR Wireless dry EEG + fNIR system designed for synchronized recording of EEG and hemodynamic response or BOLD response, combining an EEG electrode with 4 emitters and 4 detectors in a single pod.
  • Mindful Mobile Wireless, mobile wet EEG system available in 8, 16, 32, or 64 channels designed for high-density EEG recording.
  • T-SENS Series Comprehensive suite of wireless biometric sensors including ECG, EMG, EOG, GSR, RESP, TEMP, IMU, 3D Accelerometer, sEMG, Universal Module, Load Cell, and FSR for force measurement.
  • QStates Machine learning software for DSI systems enabling cognitive state classification (mental workload, engagement, fatigue) in an easy-to-use platform with real-time and off-line assessment at >90% accuracy.
  • CAPTIV Data acquisition and analysis software for synchronizing T-SENS biometric sensors and other multimodal sensors.
  • CAPTIV Neurolab Presentation and analysis software for neuromarketing that can synchronize EEG, Eye-Tracking, GSR, and Facial Coding.
  • SSVEP BCI Algorithms Software platform enabling user-friendly SSVEP paradigm for BCI applications and research with customizable 12-count and 40-count keyboards for ultra-rapid, high-accuracy classification.
  • Custom Development Services Bespoke EEG and biometric sensor development services for companies needing customized solutions, leveraging more than 20 years of dry sensor development experience.

Quantifiable outcome

  • EEG signal correlation >90% between dry and wet electrodes for alpha activity and auditory evoked potentials
  • +3 more outcomes

Companies that use Wearable Sensing

Customer profile

Named customers9 records

Segments4 records

Ideal customer profiles5 records

Wearable Sensing technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Integration10 records

AI capability2 records

Feature5 records

Wearable Sensing partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core and minor.

  • QUASARcoreOEM/ Whitelabel/ Licensing PartnerQUASAR developed dry electrode EEG technology under funding from DARPA, Army, Air Force, NSF, and NIH. Wearable Sensing has licensed QUASAR's technology for commercializing dry EEG applications. This is the core technology underlying all Wearable Sensing products.
  • Red BullminorStrategic or Co-development PartnerWearable Sensing created a custom dry EEG system for Red Bull to measure brainwaves during professional surfing. The system was used on professional surfers to study the neurophysiological aspects of surfing and peak performance states.
  • NeurolutionscoreTechnology or IntegrationNeurolutions uses Wearable Sensing's DSI-7 in their IpsiHand system for upper extremity stroke rehabilitation. The DSI-7 decodes motor imagery signals to control an exoskeleton for restoring limb function in chronic stroke patients.
  • Stanford UniversityminorStrategic or Co-development PartnerDr. Adi Korisky from Stanford University is featured in Wearable Sensing's RevolutionizingEEG webinar series presenting research on studying attention in classrooms using dry EEG technology.
  • Oregon Health & Science UniversityminorStrategic or Co-development PartnerDr. Betts Peters and Dr. Melanie Fried-Oken at OHSU developed a P300 speller using the DSI-24 and validated its functionality on participants with Locked-In syndrome.

Scale indicators2 records

Recent moves6 records

Expansion highlights6 records

Wearable Sensing competitors and assessment

Company assessment

Direct peers

  • Brain Products: Established German manufacturer of research-grade EEG systems and accessories. Directly competes with Wearable Sensing in the academic and clinical research EEG market, though Brain Products' portfolio is wet-electrode-centric and broader in channel depth.
  • ANT Neuro: Netherlands-based supplier of EEG, MEG, and fNIRS research systems with strong academic and clinical positioning. Closely comparable to Wearable Sensing in the neuroscience research buyer segment, with overlapping target customers and a similar modality mix including hybrid fNIRS offerings.
  • Cognionics (CGX): US-based developer of mobile and dry-electrode EEG headset systems for research and clinical applications. Head-to-head competitor to Wearable Sensing in the dry, wireless, research-grade EEG niche with similar product positioning around mobility and rapid setup.
  • mBrainTrain: Serbia-based manufacturer of lightweight, mobile EEG headsets (e.g., Smarting) for mobile brain imaging and BCI research. Direct peer in the wearable, ambulatory, dry/wet EEG segment targeting academic and applied-neuroscience research.
  • g.tec medical engineering: Austrian developer of high-performance EEG, BCI, and neurorehabilitation systems including the g.tec mindBEAGLE and recoveriX products. Comparable to Wearable Sensing as a BCI research and clinical platform, and a competitor in the medical BCI channel alongside Neurolutions.
  • Emotiv: Consumer- and prosumer-focused EEG headset company (Epoc X, MN8) with a software/insights platform. Overlaps with Wearable Sensing in dry-electrode wireless EEG, though Emotiv's center of gravity is consumer and applied research versus Wearable Sensing's research-grade positioning.
  • OpenBCI: Open-source EEG, EMG, ECG, and bioelectrical signal acquisition platform used by researchers, hackers, and developers. Comparable to Wearable Sensing in the wireless, multi-sensor BCI/research niche, with a more open and lower-cost commercial model.
  • Bitbrain: Spanish neurotechnology company offering EEG hardware (e.g., Versatile EEG, Diadem) plus software for neuroscience, neuromarketing, BCI, and neuroergonomics. Direct peer in dry/wireless EEG and overlapping applications portfolio with Wearable Sensing.

Broad incumbents

  • Electrical Geodesics (EGI / Philips): Long-established high-density EEG systems vendor (now part of Philips) serving clinical and research markets. Comparable to Wearable Sensing as a research-grade EEG provider, but operating as a broader, well-capitalized incumbent with a more clinical and legacy wet-system orientation.

Others

  • iMotions: Biosensor and neuromarketing platform that aggregates EEG, eye-tracking, GSR, facial coding, and other biometric data. Comparable to Wearable Sensing in the neuromarketing and multimodal sensing application areas, but as an integrating software platform rather than a competing EEG hardware vendor.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Key highlights7 records

Customer concentration

Wearable Sensing social profiles

Digital presence

Wearable Sensing compliance and trust

Trust signal

Compliance1 record

Wearable Sensing financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Wearable Sensing leadership team

Management profile

Number of profiles

Profiles1 record

Wearable Sensing funding detail

Funding detail

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Wearable Sensing M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Wearable Sensing

What does Wearable Sensing do?

Wearable Sensing designs, manufactures, and sells wireless dry-electrode EEG headsets and multimodal biometric sensors under the DSI product line, along with associated software for data acquisition and cognitive state classification. Its products serve research institutions, universities, healthcare organizations, neurofeedback clinics, neuromarketing firms, and medical device developers needing research-grade brain monitoring without gels or skin preparation.

Is Wearable Sensing a public or private company?

Wearable Sensing is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Wearable Sensing founded?

Wearable Sensing was founded in 2013. It employs 11 to 50 people.

Where is Wearable Sensing based?

Wearable Sensing is headquartered in San Diego, United States, in the North America region.

How does Wearable Sensing make money?

Three revenue lines are on record. Hardware Sales are the primary driver. The others are software Licensing and custom Development Services.

Who are Wearable Sensing's main competitors?

Direct peers on record are Brain Products, ANT Neuro, Cognionics (CGX), mBrainTrain, g.tec medical engineering, Emotiv, OpenBCI and Bitbrain. Electrical Geodesics (EGI / Philips) is listed as a broad incumbent. iMotions is listed as an others.

Does Wearable Sensing have an API?

No public API is recorded for Wearable Sensing.

What industry is Wearable Sensing in?

Wearable Sensing's product category is Wearable EEG Systems. Its primary akta.pro industry code is HLAHACAE, Neurological Monitoring (EEG, Seizure/Sleep/Neuro Wearables). Its NAICS code is 334510 and its SIC code is 3845.

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WearablesensingAll Products - Wearable SensingWearable Sensing provides a suite of wearable sensors and software systems designed for various applications including EEG and neurofeedback. Their innovative products include multiple wireless EEG headsets and various sensors for recording physiological data, showcasing their focus on advancement in brain-computer interface technology and biometrics.The Business Research CompanyWearable EEG Headsets Market Trends and Size Report 2025The Business Research Company reports that the global wearable EEG headset market is projected to grow from $1.55 billion in 2024 to $2.75 billion by 2029, driven by rising cerebrovascular disease incidence and demand for non-invasive monitoring. The report highlights significant supply chain risks due to US tariffs on components sourced from France and Belgium, which may disrupt production and increase costs for manufacturers. Key industry players include Medtronic, Philips, and specialized neurotech firms like Wearable Sensing and Aditxt.CtipmedtechWe are Proud to Announce our First Pediatric Medical Device Grant Winners!The West Coast Consortium for Technology & Innovation in Pediatrics (CTIP) awarded $165,000 in seed grants to four projects aimed at developing pediatric medical devices. The funded initiatives include RESPivice for mechanical ventilation, UCLA's optical detection system for necrotizing enterocolitis, Wearable Sensing's dry electrode EEG headset, and Theranova's nasogastric feeding tube monitoring system. These grants support the commercialization of technologies addressing unmet needs in pediatric care.WearablesensingPresentations - Wearable SensingThe page lists a series of Wearable Sensing webinars and presentations covering dry electrode EEG technology, including a February 2023 launch of a Dry EEG plus tDCS headset with Soterix Medical and the QStates machine learning cognitive state classifier. Earlier sessions address BCI applications for autism, multimodal EEG plus fNIR and eye-tracking, and integration with TEA Ergo's CAPTIV platform.