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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. Image Enhancement and Machine Learning for Improving Man-Portable Targeting Systems

    SBC: EM PHOTONICS INC            Topic: N172102

    Modern DoD applications are benefiting from the proliferation of EO/IR sensor technology. As imagers become cheaper and smaller, they are being more widely deployed for a variety of scenarios. This trend is exemplified by the Navys Future Targeting System (FTS), which will provide laser designation, laser spot imaging, and some target location functions in a single 5.5-pound unit, replacing discre ...

    SBIR Phase I 2018 Department of DefenseNavy
  2. ACE Multi-Role Vehicle

    SBC: GLOYER-TAYLOR LABORATORIES INC            Topic: SB173006

    Over the past decade, GTL has developed a suite of transformational technologies that provide superior performance for reduced cost.Each of these technologies have been matured to TRL 6 and establish the technical foundation for the Advanced Cryogenic Expendable (ACE) Multi-Role Vehicle (ACE-MRV). The ACE-MRV is a high-performance expendable rocket stage that can either be launched (from the groun ...

    SBIR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  3. Analysis, Identification, and Eradication of Mold Development in the Substance (Rations) Supply Chain

    SBC: ASSURED BIO LABS, LLC            Topic: DLA173001

    DLA Subsistence Supply Chain (SSC) experiences mold growth on wood pallets used for transportation of MRE. We propose a mold growth analysis and mitigation methodology based on supply chain, microbial monitoring and statistical techniques. The supply chain is modeled as a network of storage, production nodes and transportation links. A data collection procedure is developed to gather data related ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Power Factor Correction

    SBC: PC KRAUSE & ASSOCIATES INC            Topic: N181005

    The primary objective of this Phase I proposal is to design, develop, and demonstrate the feasibility of a power factor compensation device for a 65 kVA, 115V, 400-Hz aircraft power system. Based on identified power factor conditions in the F-18 Super Hornet platform, the compensation system must correct an existing leading 0.98 power factor to a target lagging 0.93 (minimum objective lagging 0.97 ...

    SBIR Phase I 2018 Department of DefenseNavy
  5. A Novel, Nanostructured, Metal-organic Frameworks-Based Product Loss Prevention Technology in the Oil and Natural Gas Sector

    SBC: FRAMERGY INC            Topic: 17NCER2C

    To reach the end user, oil and gas production at the wellhead must be transmitted through the country and distributed to a wide range of customers. This logistical system requires natural gas gathering lines, processing facilities, product storage tanks and lots of other equipment. What results is air pollution caused by industry losses during these operations and the use of continuous or intermit ...

    SBIR Phase I 2018 Environmental Protection Agency
  6. High Performance Computing for DEAP Imaging through Atmospheric Turbulence

    SBC: HIGH PERFORMANCE IMAGING LLC            Topic: AF18AT006

    Previous research indicates the digital holography (DH) methods when combined with model-based iterative reconstruction can solve the challenging problems posed by the need to image through deep turbulence real time. In this Phase I STTR research, we propose to analyze and design a high-performance computing system and associated Deep-turbulence Estimator for Anisoplanatic Propogation (DEAP) algor ...

    STTR Phase I 2018 Department of DefenseAir Force
  7. Radio Frequency (RF) Filter Tuning Element

    SBC: INDIANA MICROELECTRONICS, LLC            Topic: AF18AT015

    This proposed effort will focus on the design, development and analysis of a high voltage BST based varactor for tunable filter applications. The high voltage BST varactor will enable wide tuning range filters with high quality factor and increased power handling and linearity. Advanced filter design techniques will also be leveraged to increase the effective quality factor of the filter resonator ...

    STTR Phase I 2018 Department of DefenseAir Force
  8. 6000297

    SBC: Chip Design Systems Inc.            Topic: AF18AT017

    We propose to develop an innovative concept of the high speed dynamic IRSP that combines components and devices from proven suppliers with novel system-level research topics from CDS and University of Delaware. Having previously built and delivered working LED IRSPs to users gives CDS a unique advantage. In line with system theme of the solicitation, our phase 1 research topics are focused on syst ...

    STTR Phase I 2018 Department of DefenseAir Force
  9. Wafer-Level Electronic-Photonic Co-Packaging

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF16AT01

    In phase II work, we will collaborate with Prof. Stefan Preble in RIT and continue to develop large scale hybrid integration and packaging techniques for key active photonic components such as lithium niobate on insulator (LNOI) modulators and modified uni-traveling (MUTC) photodiodes. We will demonstrate a low V, broadband, small footprint LNOI modulator with hybrid Si/LN or SiN/LN waveguide usin ...

    STTR Phase II 2018 Department of DefenseAir Force
  10. Instant k-Space Tomography for Spatial-Spectral Monitoring

    SBC: PHASE SENSITIVE INNOVATIONS INC            Topic: AF17AT013

    The Army is frequently forced to operate in hostile climates. Heavy fog, rain, snow, and dust storms can inhibit the performance of tracking technologies such as mid-wave infrared cameras. In such conditions, Army early warning systems are blinded and put personnel and assets at risk.There is a specific need for a degraded visual environment (DVE) penetrative target tracking solution.Radio frequen ...

    STTR Phase II 2018 Department of DefenseAir Force
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