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Award Data
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.
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Non-Destructive Concrete Interrogator and Strength of Materials Correlator
SBC: KARAGOZIAN & CASE, INC. Topic: N18AT006Karagozian & 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 -
Protocol Feature Identification and Removal
SBC: P & J ROBINSON CORP Topic: N18AT018Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...
STTR Phase I 2018 Department of DefenseNavy -
Environmental Temperature Sensing Tow Cable
SBC: MAKAI OCEAN ENGINEERING INC Topic: N18AT017The 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 -
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 -
An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive Manufacturing
SBC: Citrine Informatics, Inc. Topic: N18AT013In 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 -
Situational Awareness for Mission Critical Ship Systems
SBC: IERUS TECHNOLOGIES INC Topic: N18AT009The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...
STTR Phase I 2018 Department of DefenseNavy -
Optimization of Fatigue Test Signal Compression Using the Wavelet Transform
SBC: ATA ENGINEERING, INC. Topic: N18BT029Traditional 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 -
Concrete Materials Characterization (COMAC)
SBC: Luminit LLC Topic: N18AT006To meet the U.S. Navy, specifically PMA-201, need for nondestructive evaluation (NDE) of concrete, including evaluating its strength, material properties, and damage localization, Luminit, LLC, and Southern Illinois University (SIU) propose to develop a novel Concrete Materials Characterization (COMAC) system, combining several methods of concrete characterization into a single sensor/software com ...
STTR Phase I 2018 Department of DefenseNavy -
Improved Turbulence Modelling Across Disparate Length Scales for Naval Computational Fluid Dynamics Applications
SBC: COMPUTATIONAL SCIENCES LLC Topic: N15AT002Computational Sciences LLC will collaborate with the Rensselaer Polytechnic Institute (RPI) to develop and validate a stand-alone computational module that naturally accounts for the effects of turbulence. Such fluctuations and transitions may be associated with compressible flows and boundary layer interactions. The module will be designed for implementation in to existing legacy codes for use in ...
STTR Phase I 2015 Department of DefenseNavy -
Socio-computational Methods to Detect and Predict Bot Activity in Novel Information Environments
SBC: Intelligent Automation, Inc. Topic: N15AT020Intelligent Automation, Inc. (IAI) proposes to understand social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot activity, and implement them in a mature social media analytics software tool. Our approach will use predictive socio-computational models that exploit context, user, friends, temporal, and network features of social medi ...
STTR Phase I 2015 Department of DefenseNavy