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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. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  2. Bio-Inspired Bone, Wing, Tail, and Muscle Structures for Morphing Aircraft

    SBC: Prioria Robotics, Inc.            Topic: AF15AT01

    ABSTRACT: Our focus in this proposal is to perform basic research to create bio-inspired 3-D morphing mechanical structures which are a gateway technology to enable true 3-D morphing flight. Prioria and Virginia Tech University will team to perform basic research into bio-inspired structure such as artificial bones/wings/feathers and artificial muscles. Prioria will establish technical feasibility ...

    STTR Phase I 2016 Department of DefenseAir Force
  3. Biologically-inspired Integrated Vision System

    SBC: SPECTRAL IMAGING LABORATORY            Topic: AF12BT03

    ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versio ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. Biologically-inspired integrated vision systems

    SBC: Tanner Research, Inc.            Topic: AF12BT03

    ABSTRACT: Tanner Research, Inc., in collaboration with University of Maryland, will determine feasibility and plan for development of technology based on insect visual sensing and processing, which will integrate three modes related to navigation and guidance: motion detection from imaging sensing; polarization sensing and processing to implement a celestial compass; and ocellar sensing and proce ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Biological Microdosimetry System

    SBC: QUINC.TECH INC.            Topic: AF18AT001

    The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...

    STTR Phase II 2019 Department of DefenseAir Force
  6. Biomimetic Design of Morphing Micro Air Vehicles

    SBC: Concepts to Systems Inc.            Topic: AF15AT01

    ABSTRACT: The goal of this STTR is to design micro air vehicles (MAVs) capable of adaptively changing wing geometry utilizing novel active materials that overcome limitations of previous attempts at implementing practical biomimetic multifunctional structures. The basic idea of a morphing aircraft wherein the vehicle changes its shape to optimally perform in multiple flight segments holds the prom ...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Biomimetic Integrated Optical Sensor Systems

    SBC: Luminit LLC            Topic: AF12BT03

    ABSTRACT: To address the Air Force"s need for a novel advanced imaging sensor concept that samples all of the information in the radiation field, taking inspiration from biological systems, Luminit proposes to develop a new Biomimetic Integrated Optical Sensor (BIOS) system. The system will be based on the unique integration of a wide field-of-view (FOV) miniature staring multi-aperture compound ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Broad Spectrum Optical Property Characterization

    SBC: SPECTRAL MOLECULAR IMAGING, INC.            Topic: AF15AT12

    Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

    STTR Phase II 2016 Department of DefenseAir Force
  9. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    Carbon nanotubes (CNTs) have great potential for high performance RF applications. Theoretical study has shown that the electrical current in a CNT field effect transistor (CFET) is intrinsically linear. Today, linearity is the underlying limitation in increasing the data transport densities of wireless networks. The complex modulation protocols used to achieve higher data rates requires linear am ...

    STTR Phase II 2019 Department of DefenseAir Force
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