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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. ALURD: Automated Learning from Unsupervised Repositories of Data

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: NGA201003

    Etegent proposes Automated Learning from Unsupervised Repositories of Data (ALURD). ALURD incorporates a trained detector to feed a semi-supervised discrimination apparatus that leverages state-of-the-art approaches.in semi-supervised learning (SSL).  The need for automated labelling of overhead data is obvious, less obvious is that these unlabelled images provide an opportunity to improve auton ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Vehicle Reidentification-Aided Network Topology Inference (VRANTI)

    SBC: Systems & Technology Research LLC            Topic: NGA201005

    Systems & Technology Research (STR) proposes to develop Vehicle Reidentification-Aided Network Topology Inference (VRANTI), a novel system for estimating proximity network graphs of traffic cameras to facilitate intelligence applications such as tracking and monitoring of traffic systems. Network inference will be performed using statistical analyses of features extracted from camera video feeds, ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. Automated Functional Nano-Material Discovery Platform for Developing Sensors

    SBC: TRITON SYSTEMS, INC.            Topic: DHA201003

    Triton Systems will design, build, and test a novel nanoparticle synthesis platform for use in application-specific soft sensors. This work will enable a disruptive advancement in development of self-directed machine learning (ML) algorithms for new materials discovery and sensor design. The development of this material and device will yield a rich data set of interrelated structure-function-manuf ...

    SBIR Phase I 2020 Department of DefenseDefense Health Agency
  6. Nano-synthetic Materials Smart System Enabling Sensor Discovery and Fabrication

    SBC: TDA RESEARCH, INC.            Topic: DHA201003

    Medical procedures are complex and require extensive training; research has shown that at least 750 individual operations may be required to perform procedures correctly. This learning curve is important, both for: 1) training new physicians, and 2) providing a way to develop and test improved medical methods. Development of sensing materials for synthetic tissues, organs, nerves, and skin (STONeS ...

    SBIR Phase I 2020 Department of DefenseDefense Health Agency
  7. First-in-class TREM-1 Radioprotector to Prevent the Effects of Acute Radiation Syndrome

    SBC: SIGNABLOK, INC.            Topic: DHA201002

    Problem. No FDA-approved prophylactic Medical Counter Measures (MCMs) are currently available for Ionizing Radiation (IR) exposures that result in Acute Radiation Syndrome (ARS), suggesting an unmet need for such agents. Objective. This is a proposal to develop a safe, well-tolerable and effective agent designed to prevent acute or late radiation effects and prolong survival. The main objective of ...

    SBIR Phase I 2020 Department of DefenseDefense Health Agency
  8. Hybrid Machine Learning Approaches for Radiation Signature Identification

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: NGA192002

    To improve the identification and detection of radio-logical materials, we propose a hybrid supervised learning and unsupervised machine learning approach to reduce the false positive rate, increase the accuracy and throughput, and augment the capabilities of the human operators. At the end of the Phase I, we will have a machine learning algorithm that is trained to recognize a variety of nuclear ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  9. Battlefield Deployable Lab-on-a-chip for Rapid MDR Bacteria Detection and Quantification in Infected Wounds

    SBC: OPTOWARES INC            Topic: DHA201001

    US military service members experiencing combated-related wounds have high chances of developing infection by multidrug resistant (MDR) bacteria. MDR infection results in higher amputation rate, subsequent operations and extended recovery time. Currently there’s no FDA-cleared, deployable, rapid MDR bacteria testing assay. Optowares proposes to develop a portable, inexpensive lab-on-a-chip syste ...

    SBIR Phase I 2020 Department of DefenseDefense Health Agency
  10. Rapid Portable ID and AST Diagnostic for Infected Wound Infections

    SBC: GENECAPTURE, INC.            Topic: DHA201001

    GeneCapture is proposing to use its rapid CAPTURE assay (Confirm Active Pathogens Through Unamplified RNA Expression) to identify the pathogen(s) in wound infections. The pathogen Infection Diagnostic (ID)test takes place in a disposable cartridge that integrates and automates the sample prep steps and determines the genetic signature of the pathogens present. The assay is based on immobilized ste ...

    SBIR Phase I 2020 Department of DefenseDefense Health Agency
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