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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. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. 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
  3. Virtual Reality for Multi-INT Deep Learning (VR-MDL)

    SBC: INFORMATION SYSTEMS LABORATORIES INC            Topic: AF19AT010

    Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Exploitable Physics for Recognition and Classification

    SBC: MATRIX RESEARCH INC            Topic: AF12BT06

    ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. 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
  6. RAPID RECONSTITUTION FOR GROUND-BASED OPTICAL SSA CAPABILITY FOR GEO, HEO AND MEO

    SBC: J.T. MCGRAW AND ASSOCIATES, LLC            Topic: AF16AT05

    Commercially-derived telescope systems, consisting mostly of commercially available components assembled to optimally meet space surveillance goals, stand ready to temporarily replace, supplement and/or augment existing optical surveillance systems. In t...

    STTR Phase I 2016 Department of DefenseAir Force
  7. Carbon Nanotube FET Modeling and RF Circuit Simulation

    SBC: ELECTRONICS OF THE FUTURE, INC.            Topic: AF18BT006

    The project will develop and validate a geometry scalable CNTFET compact model for HF circuit design and extract the model parameters from the measured characteristics of the fabricated devices. The ballistic and quasi-ballistic transport, quantum and parasitic effects will be accounted for the predicted performance will be compared to 130 nm RF Si-CMOS to determine the conditions for breaking eve ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Ultrahigh-Bandwidth Robust Performance Diagnostics for Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT011

    Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Multisensor-Integrated Organ-on-a-Chip

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT002

    The Air Force seeks three-dimensional bioprinted tissue that can accurately replicate complex multi-cell function and that can be integrated with biosensors. To address this need, Spectral Energies in collaboration with Prof. Khademhosseini of the University of California, Los Angeles (UCLA) proposes to develop an organ-on-a-chip system. The organ-on-a-chip system will be capable of accurately mod ...

    STTR Phase I 2019 Department of DefenseAir Force
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