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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Active Imaging through Fog
SBC: SA PHOTONICS, LLC Topic: N18AT021Active imaging systems are used to for imaging in degraded visual environments like that found in marine fog and other environments with a high level of attenuation and scattering from obscurants like fog, rain, smoke, and dust.These systems are still limited in range and resolution. SA Photonics is taking advantage of multiple image enhancement techniques, like wavelength tunability, pulse contro ...
STTR Phase I 2018 Department of DefenseNavy -
Accurate Flow-Through Conductivity Sensor for Autonomous Systems
SBC: D 2 INC Topic: N18AT022UUVs have become increasingly important tools in the collection of environmental data. Their unique ability to operate independent of surface vessel conditions allows oceanographic seawater measurements when traditional means is not possible. Historically sensor packages for UUVs have been based on adaptions of ship deployed equipment. Recent development in sensors, such as the Hybrid Flow Through ...
STTR Phase I 2018 Department of DefenseNavy -
Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines
SBC: HAL Technology, LLC Topic: N18AT023Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Hal Technology’s proprietary, compact, rugged, flush-mounted, fiber-optic sensor platform measures particulate size, size distributions, and concentration for real-time engine health monitoring. Our proposed sensor will use an innovative hybrid disc ...
STTR Phase I 2018 Department of DefenseNavy -
Structurally efficient CMC-PMC air frames
SBC: PHYSICAL SCIENCES INC. Topic: N18AT024The Physical Sciences Inc. (PSI) Team consisting of PSI, Draper Laboratories (Draper), and an airframe integrator are proposing a tunable hybrid composite structure capable of increasing the thermal operating performance by 500 C over conventional polymer matrix composites (PMCs). Our multifunctional composite approach combines PSIs low cost quasi-isotropic Ceramic Matrix Composite (CMC) system, a ...
STTR Phase I 2018 Department of DefenseNavy -
Novel Hybrid Composite Skin Materials
SBC: TRITON SYSTEMS, INC. Topic: N18AT024Triton Systems, Inc. proposes to develop an affordable, lightweight and durable hybrid composite system for next generation structural frame composites with EMI shielding characteristics that will survive both short and long term thermal exposure, saltwater exposure. The team will develop a hybrid materials system that is an improvement on traditional carbon fiber reinforced polymer (CFRP) systems ...
STTR Phase I 2018 Department of DefenseNavy -
Jellyfish-Inspired Profiling Floats
SBC: BOSTON ENGINEERING CORPORATION Topic: N18AT025With MEDUSAE, our world class team proposes to leverage our extensive experience, existing technology, and a unique approach to lightweight, long lasting, self-recharging jellyfish-inspired floats to fill an oceanographic sensing capability gap for the Navy. Our experience in bio-inspired robot (including jellyfish), nonconventional actuation, and energy harvesting development promises to provide ...
STTR Phase I 2018 Department of DefenseNavy -
Internet of Things (IoT) Agent (IoTA) Framework for Evaluating Effectiveness and Efficiency
SBC: RAM LABORATORIES Topic: N18AT027The Internet of Things (IoT) is increasingly being used to create smart platforms where operators are being removed from the loop. These smart capabilities include collaborative IoT sensors and platforms that are self-aware and provide capabilities of self-prediction, self-configuration, and self-maintenance. To fully take advantage of these advances, however, testbeds and frameworks are needed to ...
STTR Phase I 2018 Department of DefenseNavy -
Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia
SBC: HVMN Inc. Topic: SOCOM17C001In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Human Performance Optimization
SBC: REJUVENATE BIO INC Topic: SOCOM17C001Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
System for Nighttime and Low-Light Face Recognition
SBC: Systems & Technology Research LLC Topic: SOCOM18A001Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command