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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. High-Power and Low Loss Mid-Wave IR Fiber-Optical Switch

    SBC: AGILTRON, INC.            Topic: N06T039

    Agiltron, in collaboration with Tufts University, proposes to realize MWIR fiberoptic switches that meet all the required performance specifications for the new type of compact airborne IRCM applications. The approach is based on our extensive experience in volume production of fiberoptic switches of industrial leading performance as well as in-house chalcogenide glass fabrication capability. Th ...

    STTR Phase I 2006 Department of DefenseNavy
  2. High-Power Millimeter-Wave Micro-Sources for Communications & Radar Dominance

    SBC: BEAM-WAVE RESEARCH, INCORPORATED            Topic: AF06T022

    The proposed effort is to evaluate the feasibility of a W-band sheet-beam vacuum electronic device that can provide up to 1 kW of peak RF power at a minimum efficiency of 20%. Key elements of this effort are on the generation and transport of the sheet beam and its interaction with the RF circuit. The potential of employing a depressed collector to improve overall efficiency will also be investiga ...

    STTR Phase I 2006 Department of DefenseAir Force
  3. High Resolution Micro-meteorological Tools for Global War on Terrorism (GWOT) Contaminant Transport and Dispersal Predictions

    SBC: Next Century Corporation            Topic: N06T037

    Next Century Corporation and the University of Washington’s Department of Atmospheric Sciences propose development of the Micro-Meteorological Modeling (M3) system with the goal of rapidly performing high-resolution atmospheric dispersion modeling, ideally down to the microscale level, with a high degree of accuracy and confidence. Our M3 graphical user interface will provide the user with a hi ...

    STTR Phase I 2006 Department of DefenseNavy
  4. High resolution multispectral imaging with plasmon lensing

    SBC: Tanner Research, Inc.            Topic: AF06T006

    It is desirable to make high resolution imagers that simultaneously acquire multispectral information from the same spatial locations; doing so enables a number of target detection and tracking applications. Currently, image resolution is limited by the pixel pitch which cannot be reduced below optical diffraction and carrier diffusion limited values, and by the need to have different pixels resp ...

    STTR Phase I 2006 Department of DefenseAir Force
  5. High Speed CMC Laser Machining

    SBC: PHYSICAL SCIENCES INC.            Topic: N06T012

    Physical Sciences Inc. (PSI) proposes to develop a high speed laser machining process for ceramic matrix composites. The recent development of high rate, high pulse power lasers and the non-contact nature of the PSI process minimize the damage typical of other laser machining processes. It also enables precise placement of through holes, trenches and identification markings. The goal of the Phase ...

    STTR Phase I 2006 Department of DefenseNavy
  6. High Speed RF Waveform Reader-Writer

    SBC: Intelligent Automation, Inc.            Topic: N06T029

    Intelligent Automation, Inc. (IAI), proposes a reliable integrated COTS-based reader/writer that can deliver RF waveforms to a cross-correlation based RF receiver at high speeds of 40 Gbps. We have already identified key COTS hardware that offers following advantages (1) input/ Output blocks of the FPGA can handle various input/ output standards like LVDS, LVCMOS, PCI-X, GTL and GTLP. Hence extern ...

    STTR Phase I 2006 Department of DefenseNavy
  7. High-throughput Direct Structural Screening for Drug Lead Compounds

    SBC: NATURAL SELECTION, INC.            Topic: A06T032

    The Army has an obvious and immediate need for greater exploration of small molecules in the search for novel anti-malarial drugs. The innovative techniques offered in this proposal utilize methods of iterated automated fragment assembly coupled with an intelligent compound screening tool to facilitate scientific advancement. The resulting computational methods can increase the rate and exploratio ...

    STTR Phase I 2006 Department of DefenseArmy
  8. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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