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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. Further Experimental Validation of a Fluid-Structure-Material Interaction (FSMI) Modeling and Simulation Toolset

    SBC: ATA ENGINEERING, INC.            Topic: AF17AT025

    ATA Engineering, Inc. (ATA), partnered with a nonprofit research institution, CUBRC, Inc., (CUBRC), proposes a Phase II STTR project to further develop and continue validating a novel multiphysics simulation technology. The project team will implement the technology in a fluid-structure-material interaction (FSMI) software toolset that incorporates mutual interactions between aerodynamics and stru ...

    STTR Phase II 2020 Department of DefenseAir Force
  2. Stable High Bandwidth AO Control with physical DM constraints

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT008

    Adaptive optics (AO) can compensate for the aberrating effects of atmospheric turbulence which degrade the performance of high energy laser (HEL) weapon systems and, as such, is an enabling technology for effective deployment of HEL weapon systems. A key component in an HEL AO system is the deformable mirror (DM). However, mechanical constraints in currently available DMs limits AO system performa ...

    STTR Phase II 2020 Department of DefenseAir Force
  3. Marburg Virus Prophylactic Medical Countermeasure

    SBC: Flow Pharma, Inc.            Topic: CBD18A002

    Through this STTR contract, we propose to evaluate the efficacy of our vaccine, FlowVax Marburg, in nonhuman primates (NHPs). This will be achieved through four Tasks. In Task 1, we will manufacture the vaccine in a quantity sufficient for the animal studies. In Task 2, we will perform MHC genotyping on a representative population of NHPs and, based on results, select a set of MHC-matched NHPs for ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  4. 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 terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  5. 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 and alphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable an ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  6. Passive Image Processing Algorithms for Automated Target Attitude Estimation

    SBC: TOYON RESEARCH CORPORATION            Topic: AF19BT005

    Weapons systems testing and analysis is crucial to engineering, understanding, qualifying, and deploying advanced weapons systems. With the boom in camera technology over the past decade image based methods to support weapons testing and analysis have become the state of practice for military test ranges. At the same time, there has been an explosion of research and development in computer vision ...

    STTR Phase I 2020 Department of DefenseAir Force
  7. Multiband Equipment for Spectrum Agility (MESA)

    SBC: FIRST RF CORPORATION            Topic: AF19BT009

    In this Phase I STTR program, FIRST RF and GMU will investigate the interrelated trades of directional antenna hardware capabilities and the operational advantages of spectrum agility for airborne networking. GMU’s modeling and simulation (M&S) capabilities combined with the FIRST RF expertise in advanced antenna hardware will provide Air Force with a powerful team to understand the advanta ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Test Rig for Effective Reproduction of Inlet Distorted Supersonic Flows

    SBC: CFD RESEARCH CORPORATION            Topic: AF19BT012

    The subsonic diffuser duct of a modern tactical aircraft is the most difficult component to verify performance at off-design conditions, because of the large cost of testing/modeling complete installations at large scale. It is desirable to effectively reproduce the flow at the end of a supersonic inlet for interfacing with a direct-connect subsonic duct rig. The CFDRC team proposes to deliver a r ...

    STTR Phase I 2020 Department of DefenseAir Force
  9. Adaptable Cyber Defense for Autonomous Air Operations

    SBC: OCEANIT LABORATORIES INC            Topic: AF19CT003

    In this Phase I SBIR, Oceanit will develop a novel, powerful, adaptable cyber defense capability to support autonomous Air Force weapons systems.

    STTR Phase I 2020 Department of DefenseAir Force
  10. Transfer Learning and Deep Transfer Learning for Military Applications

    SBC: Arete Associates            Topic: AF19CT004

    Aided Target Recognition (AiTR) algorithms augment human decision-making, but require a large database of labeled targets for training. Applied to new domains, these algorithms fail to transfer knowledge and require substantial retraining. Areté and University of Alabama Huntsville (UAH) propose the development of the Domain Extracted Feature Transfer (DEFT) Network to transfer knowledge from a ...

    STTR Phase I 2020 Department of DefenseAir Force
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