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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. Human Performance Optimization

    SBC: HVMN Inc.            Topic: SOCOM17C001

    During altitude-induced hypoxia, operator cognitive and physical capacity degrades, compromising individual and team performance. Cognitive degradation is linked to falling brain energy levels, increased reliance on anaerobic energy production and lactate accumulation. Ketones are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies demonstrated that ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  2. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  3. 81mm Mortar Guidance Package

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: SOCOM182001

    OKSI will design and build a Precision Guidance Seeker (PGS) for the 81 mm munition. We will enhance and port our target acquisition and tracking algorithms to a real-time processor onboard the PGS, which will receive target-scene imagery prior to launch or while in flight and will deploy post apogee. OKSI will test the algorithms extensively with a wide range of military-relevant real-world data ...

    SBIR Phase II 2019 Department of DefenseSpecial Operations Command
  4. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA172002

    Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Advanced Image Segmentation for Radar Imagery

    SBC: ELECTROMAGNETIC SYSTEMS, INC.            Topic: NGA172004

    Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Tactical Active Anti-Fogging Goggle or Spectacle

    SBC: TDA RESEARCH, INC.            Topic: SOCOM181003

    The military combat eye protection (MCEP) program is designed to protect our soldiers' eyes from the external threats of fragmentation, electromagnetic radiation, wind, dust, sand, etc. and greatly improve both safety and operational effectiveness. However, the goggles and spectacles on the Military’s authorized protective eyewear list (APEL) are only effective if the soldier is wearing them. Fo ...

    SBIR Phase II 2019 Department of DefenseSpecial Operations Command
  7. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special OperationsForces (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 funct ...

    STTR Phase II 2019 Department of DefenseSpecial Operations Command
  8. Enhanced Canine Performance, Protection and Survivability

    SBC: Virtech Bio, Inc.            Topic: SOCOM172002

    Currently, there is no resuscitation fluid with oxygen carrier and plasma expansion capabilities to treat hemorrhagic shock in combat canines. Under SOCOM SBIR Phase 1, VirTech Bio developed a new hemoglobin-based oxygen carrier, VIR-VET, and performed successful feasibility safety and efficacy tests in rat models. In those studies, VIR-VET demonstrated prolonged vascular retention, without advers ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  9. Enhanced Canine Performance, Protection and Survivability

    SBC: REJUVENATE BIO INC            Topic: SOCOM172002

    Multi-Purpose Canines (MPCs) are an integral aspect of the US military. The continued expansion and use of these indispensable force multipliers in an intense, ever-changing and complex battlefield requires enhancing their innate capabilities in a timely manner. Additionally, canines have a relatively short life span, and considering the substantial training period that MPCs must undergo, their ef ...

    SBIR Phase II 2018 Department of DefenseSpecial Operations Command
  10. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: NUMERICA CORPORATION            Topic: NGA191005

    US military and intelligence agencies have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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