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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.

  1. Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series Aluminum

    SBC: 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
  2. Marburg Virus Prophylactic Medical Countermeasure

    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
  3. Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases

    SBC: CFD RESEARCH CORPORATION            Topic: CBD18A001

    In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  4. Man-Portable and Fieldable Mass Spectrometer for Sequencing Peptides

    SBC: BAYSPEC, INC.            Topic: A16AT012

    BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop a new portable multi-order mass spectrometry system that can sequence peptides derived from biological agents including bacteria, viruses, and toxins. During Phase I stage, a fully functional prototype instrument, based on an innovative design concept, was successfully built and the performance evaluatio ...

    STTR Phase II 2018 Department of DefenseArmy
  5. Rapid Discovery of Evasive Satellite Behaviors

    SBC: DATA FUSION & NEURAL NETWORKS, LLC            Topic: AF17CT02

    The DF&NN team has significant experience in delivering Space Domain Awareness tools. These tools will be applied to 2 years of GEO ephemeris data of active satellites at DF&NN. The RDESB prototype will reduce the risk in rapidly discovering the behavioral patterns of potentially evasive and/or ambiguous active resident space objects. RDESB will detect non-Keplerian behavior in ephemeris data for ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF17CT02

    Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The focus of this project is to develop a stochastic approach for rapid discovery of evasive satellite behaviors. Designing the innovative decision support tool has numerous challenges: (i) partial observable actions; (ii) eva ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Rapid Discovery of Evasive Satellite Behaviors

    SBC: APPLIED DEFENSE SOLUTIONS, INC.            Topic: AF17CT02

    This is a prototype system that will take raw observation data, detect and characterize maneuvers, and use reinforcement learning to understand and react to evasive RSO behaviors in near real time. This will provide a framework to evaluate autonomous behavior strategies, such a safety, effectiveness, and robustness to manipulation. This work will enable surveillance operators to distinguish betwee ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. Sun-Tracking Millimeter Wave Radiometer

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: AF17CT01

    The Air Force is seeking solutions for a sun-tracking millimeter wave radiometer to measure atmospheric attenuation over a high dynamic range. The V- and W- bands have rarely been used for space communications and telemetry applications, but rapidly increasing government and commercial bandwidth needs will require future solutions within these bands. Our team, comprised of experienced scientists, ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. ROBUST MOVING TARGET HANDOFF IN GPS-DENIED ENVIRONMENTS

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

    STTR Phase II 2016 Department of DefenseAir Force
  10. High Performance Computing for DEAP Imaging through Atmospheric Turbulence

    SBC: HIGH PERFORMANCE IMAGING LLC            Topic: AF18AT006

    Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...

    STTR Phase I 2018 Department of DefenseAir Force
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