You are here
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
SBC: ATA ENGINEERING, INC. Topic: N18BT029
Traditional approaches to accelerated fatigue testing rely on heuristic methods with thresholds based mostly on experience and engineering judgment. These methods generally do not apply to the multiaxial dynamic loading situations characteristic of most aerospace applications and often result in uncharacteristic fatigue damage and failure modes during testing. To overcome the limitations of tradit ...STTR Phase I 2018 Department of DefenseNavy
SBC: HAL Technology, LLC Topic: N18AT023
Gas 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
SBC: KARAGOZIAN & CASE, INC. Topic: N18AT006
Karagozian & Case Inc. and the University of Nebraska-Lincoln Department of Civil Engineering are proposing a Phase I STTR to develop a non-invasive and non-destructive methodology capable of measuring concrete material properties, including relevant spatial and statistical information associated with them, for input to hydrocode models. The solution will be both laboratory and field deployable, w ...STTR Phase I 2018 Department of DefenseNavy
SBC: MAKAI OCEAN ENGINEERING INC Topic: N18AT017
The U.S. Navy currently utilizes a number of towed systems from surface ship and submarines for sensing and communication applications. In a number of these cases, a tow cable extends either down from a surface ship or up from a submarine through the upper part of the water column where seawater temperature can be both highly variable vs. depth and dynamic in time and geographic location. Having a ...STTR Phase I 2018 Department of DefenseNavy
SBC: MAPP BIOPHARMACEUTICAL, INC. Topic: CBD18A002
There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series AluminumSBC: OCEANIT LABORATORIES INC Topic: N18AT016
Oceanit proposes to research and develop chemical or non-chemical methods and processes to impart surface morphology modifications to aluminum-magnesium (Al-Mg) alloys to mitigate and increase the exfoliation corrosion resistance.STTR Phase I 2018 Department of DefenseNavy
SBC: Flow Pharma, Inc. Topic: CBD18A002
Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: Citrine Informatics, Inc. Topic: N18AT013
In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...STTR Phase I 2018 Department of DefenseNavy
SBC: RAM PHOTONICS LLC Topic: N14AT023
Digital equalizers have been the major enablers in RF communications in terms of managing component imperfections and channel impairments. Specifically, the ever increasing processing power of the dedicating computing processors has availed a steady increase in the ability of complex communication systems to deal with impairments as well as allowing higher capacities in the information transfer.On ...STTR Phase II 2016 Department of DefenseNavy
SBC: RAM LABORATORIES Topic: N18AT027
The 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