You are here
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.
-
Algorithms for Look-down Infrared Target Exploitation
SBC: SIGNATURE RESEARCH, INC. Topic: 1Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
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 -
Adaptive Optics for Nonlinear Atmospheric Propagation of Laser Pulses
SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC Topic: N17AT024Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...
STTR Phase II 2018 Department of DefenseNavy -
Solid-State Fundamental Mode Green Laser for Ocean Mine Detection
SBC: Arete Associates Topic: N13AT023Areté proposes the development of Q-switched semiconductor lasers that can be scaled to produce high output peak powers within the blue/green wavelength band. The proposed system will utilize nanostructure quantum wavefunction engineering for gain material designs having extended excited state lifetimes and suppressed non-radiative processes to enable energy storage for high-peak-power optical pu ...
STTR Phase II 2018 Department of DefenseNavy -
Cyber Ready-and-Aware Mindset for Protection and Resilience against Threats (Cyber RAMPART)
SBC: SOAR TECHNOLOGY INC Topic: N17AT023We propose to develop Cyber RAMPART as an extensible and customizable training delivery tool with near-term transition potential. It will offer shipboard operations personnel the opportunity to develop foundational cyber awareness knowledge and skill that prepares them to participate in their ship’s cyber defense mission and to hit the ground running in future fleet-level exercises that include ...
STTR Phase II 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 -
Full Featured Low-Cost HMS for Combatant Craft
SBC: QUALTECH SYSTEMS, INC. Topic: N18AT015Qualtech Systems, Inc. (QSI), in collaboration with VU proposes to develop a state-of-the art HMS system featuring: (1) Low Hardware cost by leveraging industrial-grade computers ruggedized to military specifications (2) Low Software cost by leveraging QSI’s COTS TEAMS software with real-time monitoring and diagnosis capabilities (3) Vibration and Shock Analysis and its impact on vehicle and cre ...
STTR Phase I 2018 Department of DefenseNavy -
Improved High-Frequency Bottom Loss Characterization
SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N17AT026We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be character ...
STTR Phase II 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