Company
Portfolio Data
Back to Company SearchNEURABLE INC.
UEI: YB3BCSW8NSN3
Number of Employees: 16
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: Yes
SBIR/STTR Involvement
Year of first award: 2018
4
Phase I Awards
2
Phase II Awards
50%
Conversion Rate
$523,514
Phase I Dollars
$3,773,264
Phase II Dollars
$4,296,777
Total Awarded
Awards
EEG-Enabled Form Factors for Army Brain Health Monitoring
Amount: $1,885,038 Topic: A234-P015
Neurable will partner with Gentex Corporation to prototype designs of EEG-integrated headworn protection, in order to track, measure, and understand neural responses to repeated ballistic exposure. By doing so, our teams will deliver a novel technology that lives within existing and familiar form factors, ultimately leading to a greater understanding of the risks and remedies associated with military occupations. By integrating such technology, we aim to reach a point where soldiers can respond to and treat brain injuries long before they become critical issues. This proactive approach is crucial in maintaining the cognitive health and operational readiness of military personnel.
Tagged as:
SBIR
Phase II
2024
DOD
ARMY
Dynamic REM Improvement through a Closed-loop Stimulation and Sensing Wearable
Amount: $73,723 Topic: AFX237-PCSO1
Disrupted REM sleep is a leading contributor to poor physical, mental, and emotional health, particularly among military members, who often contend with intense stimuli and irregular working hours. Scientific evidence suggests that optimizing REM sleep is pivotal for bolstering emotional resilience, creating positive adaptations to stress, and reducing the effects of trauma (i.e. PTSD). Leveraging Neurable's expertise in biometric data analysis, advanced signal processing, and artificial intelligence, we propose a novel approach that integrates our BrainOS platform with closed-loop neuromodulationĀto target, monitor, and optimize REM sleep mechanisms.
Tagged as:
SBIR
Phase I
2024
DOD
USAF
Decoding Cognitive Fatigue: Leveraging EEG for Enhanced Soldier Performance and Biopotential Applications.
Amount: $1,888,226 Topic: A224-025
Redacted.
Tagged as:
SBIR
Phase II
2023
DOD
ARMY
Ruggedized Brain-Computer Interface for Cognitive Tracking and Assessment
Amount: $74,961 Topic: X224-OCSO1
Fatigued individuals are less alert, have reduced ability to process information, and have slower reaction times than usual, contributing to operator errors and procedural violations that severely damage people and property. Neurable’s core technology, BrainOS, is a highly accurate and non-invasive electroencephalogram (EEG) signal processing solution that collects, cleans, and interprets the brain's spontaneous electrical activity to deliver actionable insights to an end-user application. The signal-to-noise benefits allow devices to have fewer sensors, to be flexibly placed in convenient locations (ex. around the ears), and have reduced cost of components, while maintaining signal quality.
Tagged as:
SBIR
Phase I
2023
DOD
USAF
An Easily Integratable Wearable Real-Time Cognition & Physiological Monitoring Device for Human Performance Optimization
Amount: $149,915 Topic: A224-025
Redacted
Tagged as:
SBIR
Phase I
2023
DOD
ARMY
SBIR Phase I: A Hybrid Brain-Computer Interface for Virtual and Augmented Reality
Amount: $224,915 Topic: BM
The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project addresses the need for non-invasive brain-computer interfaces (BCIs) and hands-free control of technologies, including artificial and virtual reality (AR/VR) and smart devices. The proposed multi-purposed BCI is expected to have immediate applications for several industries, including manufacturing and medicine. Currently, existing systems are either too expensive or limited for real-time control. The proposed BCI is specifically designed for 3 dimensional environments, and is intended to leverage multiple ('hybrid') signals from the human body to allow increased performance using affordable hardware. It is also designed for and expected to allow AR/VR control, which can enable productivity applications, as well as model BCI use in real-world scenarios. The long term goal is to enable users to scroll menus, select objects, and even type using their brain activity. The platform uses the existing form-factor of AR/VR headsets to incorporate brain-sensing electrodes, and will be compatible with popular devices, independently or in parallel with their existing controllers. The electrodes are designed to be safe, non-invasive, and dry (requiring conductive gel or saline). The high-risk, high-reward research to be conducted under this project will significantly advance the applications of BCI systems in general, with an emphasis on AR/VR technologies. The proposed project concerns a novel hybrid BCI by combining oculomotor and electroencephalography (EEG) signals via a custom machine learning platform. BCIs detect and interpret neural signals enabling control over a variety of technologies. However, current BCIs remain extremely limited in their applicability. They either require expensive equipment, invasive surgery, or have too low performance when using affordable noninvasive hardware. This BCI aims to provide real-time control in 3-dimensional scenarios, (e.g., AR/VR/real-world smart devices), while using affordable hardware. This SBIR Phase I project seeks to combine three distinct innovations: high-performance EEG signal analysis, high-speed eye movement classification, and custom multi-signal ensemble classification techniques. Specifically, the project seeks to use a custom machine learning and artificial intelligence approach informed by physiology to combine oculomotor and EEG signals to specifically enable3D AR/VR control. The ultimate goal is to develop a high performance BCI system that affords flexible user control across hardware, software, and mobile applications.
Tagged as:
SBIR
Phase I
2018
NSF