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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. Protection of DoD Satellite Communications Against RF Interferences and Personal Mobile Telecommunications

    SBC: TAU TECHNOLOGIES LLC            Topic: AF14AT17

    ABSTRACT: The United States relies heavily on force multiplying, space-based navigation, communications and intelligence, surveillance and reconnaissance (ISR) capabilities. These satellites populate all orbital regimes including low-earth orbit (LEO), medium earth orbit (MEO) and geosynchronous earth orbit (GEO) and frequently require complex ground station network support requirements. Miltary ...

    STTR Phase I 2015 Department of DefenseAir Force
  2. Real time detection of stress- and fatigue-related biomarkers using vibrational spectroscopy

    SBC: Ionica Sciences, Inc            Topic: AF14AT21

    ABSTRACT: The effects of fatigue and exhaustion can have significant effects on the capabilities of personnel throughout the military and civilian sectors. Current methods to evaluate and reduce the effects of severe fatigue and exhaustion include self-reporting, assessment using simple cognitive tests and exercises, and the implementation of fatigue management programs. Detection of chemical ind ...

    STTR Phase I 2015 Department of DefenseAir Force
  3. Phase Transitions, Nucleation and Mixing Modeling through Trans-Critical Conditions

    SBC: CASCADE TECHNOLOGIES INC            Topic: AF14AT23

    ABSTRACT: In this proposal, researchers from Cascade Technologies and Professors Matthias Ihme and Ali Mani from Stanford University lay out a plan to develop predictive modeling tools for transcritical flows. Phase I of the three phase plan is outlined in detail and extensions are proposed for Phases II and III. Central points of the Phase I plan include: A comprehensive review and assessment ...

    STTR Phase I 2015 Department of DefenseAir Force
  4. Tool to Predict High-Power Electromagnetic Effects on Mobile Targets

    SBC: XL SCIENTIFIC LLC            Topic: AF15AT05

    ABSTRACT: XL Scientific LLC will leverage over a half a century of High Power Microwave (HPM) Effects Test and Modeling experience to develop an integrated DREAM2 toolkit that models the vulnerability and susceptibility of electronic systems, subsystems and components to directed energy (DE) HPM weapons. The analysis toolkit developed will center on three essential modules, critical in a full asse ...

    STTR Phase I 2015 Department of DefenseAir Force
  5. Low-Latency Embedded Vision Processor (LLEVS)

    SBC: SA PHOTONICS, LLC            Topic: AF15AT13

    ABSTRACT: Digital binocular helmet-mounted display (HMD) systems are now available that allow high resolution wide field-of-view (WFOV) digital imagery to be displayed on high resolution microdisplays. These digital HMD systems require a low-latency embedded vision processor (LLEVS) capable of implementing the necessary image processing algorithms. An SA Photonics LLEVS will be implemented on next ...

    STTR Phase I 2015 Department of DefenseAir Force
  6. Enhanced Text Analytics Using Lifted Probabilistic Inference Algorithms

    SBC: Longview International Inc.            Topic: AF13AT11

    ABSTRACT: LVI proposes developing an advanced framework of lifted probabilistic inference algorithms for enhancing the scaling and accuracy of text analytics. In Phase I, LVI explored the scalability of various lifted inference techniques for utilizing Markov Logic Networks (MLN) in the Tuffy software package. Phase I also included investigation and demonstration of DeepDive, a scalable, high-per ...

    STTR Phase II 2015 Department of DefenseAir Force
  7. Spectrum Sensing and Sharing by Cognitive Radios in Position, Navigation and Timing (PNT) Systems

    SBC: Innoflight, Inc.            Topic: AF15AT23

    ABSTRACT: The next-generation Global Positioning System (GPS) in congested and contested environments is expected to exploit Spectrum Holes (SH) in order to provide uninterrupted Position Navigation and Timing (PNT) service worldwide. Innoflight has teamed with the Air Force Institute of Technologys (AFITs) Autonomy and Navigation Technology (ANT) Center to develop a system based on cognitive radi ...

    STTR Phase I 2015 Department of DefenseAir Force
  8. High Speed Electronic Device Simulator

    SBC: CFD RESEARCH CORPORATION            Topic: AF15AT33

    ABSTRACT: This project will develop and demonstrate a software package based on coupled Fokker-Planck (FP) - Fermi Kinetic Transport (FKT) models and full-wave Maxwell electromagnetic (EM) solver to accurately predict semiconductor device behavior from dc up through the mm-wave and THz frequency ranges. The FP model provides accurate non-equilibrium occupation functions for hot electrons with real ...

    STTR Phase I 2015 Department of DefenseAir Force
  9. Robust moving target handoff in GPS-denied environments

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: AF15AT34

    ABSTRACT: Over the past decade, there has been a sustained interest in Global Positioning System (GPS) denied navigation technologies for unmanned aircraft systems (UAS). This has been primarily due to the well accepted susceptibility of GPS signals to intentional jamming or unintentional interference and blockage. One of the challenging problems in GPS-denied navigation is handing off moving targ ...

    STTR Phase I 2015 Department of DefenseAir Force
  10. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Ima

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    ABSTRACT: Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data, including video and hyperspectral imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets ...

    STTR Phase I 2015 Department of DefenseAir Force
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