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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. Southeast Xlerator Network

    SBC: XLERATEHEALTH, LLC            Topic: R

    The Southeast XLerator Network proposes to create a networked and easily accessible regional technology transfer accelerator hub (“XLerator Hub” or “Hub”) to share best practices, disseminate education content, and offer products, services, facilities and other resources connected through both physical and online platforms for innovators and trainees in the Southeast IDeA states. Led by XL ...

    STTR Phase II 2019 Department of Health and Human ServicesNational Institutes of Health
  2. Development of a Wearable Fluorescence Imaging Device for Intraoperative Identification of Brain Tumors

    SBC: BIOPTICS TECHNOLOGY LLC            Topic: 102

    ABSTRACTApproximatelypeople in the United States have been diagnosed with a primary brain tumorOf thesemalignant gliomasMGsaccount for approximatelyof all intracranial tumorswith an overall patient survival rate of onlyMore than any other cancerbrain cancer has lasting physicalcognitiveand psychological impacts on a patient s lifeand the highest per patient initial cost of careSurgical resection r ...

    STTR Phase I 2019 Department of Health and Human ServicesNational Institutes of Health
  3. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Transformation Accelerated through Redesign, Guidance, and Enhanced Training (TARGET)

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: N17AT017

    As submarine threats from adversary countries continue to rise, the U.S. Navy must maintain and expand its anti-submarine warfare (ASW) capabilities. Warfighter readiness is the linchpin of the Navy’s ASW strategy, but the complexity of the ASW domain necessitates time-consuming training, and practical experiences to transfer those skills to the operational environment. Innovative training appro ...

    STTR Phase II 2019 Department of DefenseNavy
  5. Low-Energy Adiabatic Circuits for Space Applications

    SBC: SIGNAL SOLUTIONS LLC            Topic: AF18BT013

    Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Bioelectronic Fusion Sensor System

    SBC: SENTIENT SCIENCE CORPORATION            Topic: N14AT019

    To address the Navy"s need for a common, scalable, platform for multi-modal 1pA level current sensing for Electrocardiogram (ECG), Electroencephalogram (EEG), and Electrodermal Response (EDR) to be fielded as a miniature wearable device with non-contact electrodes, Sentient and the State University of New York (SUNY) propose to develop the Bioelectronic Fusion Sensor System (BioFuSenS) that will a ...

    STTR Phase I 2014 Department of DefenseNavy
  7. Decision Making under Uncertainty for Dynamic Spectrum Access

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: AF13AT02

    ABSTRACT: Due to scarcity of spectrum, Dynamic Spectrum Access (DSA) becomes a needed technology to improve the utilization of electromagnetic spectrum for DoD satellite communication. However, current DSA approaches are developed for terrestrial communications without addressing the unique challenges for SATCOM environments such as error-prone spectrum sensing, high mobility, and large coverage. ...

    STTR Phase I 2014 Department of DefenseAir Force
  8. Secure Efficient Cross-domain Protocols

    SBC: INFOBEYOND TECHNOLOGY LLC            Topic: AF13AT08

    ABSTRACT: Coordinating and sharing information across multi-level security (MLS) networks are of great interest in many military applications. However, it is very challenging to accomplish those goals due to the heterogeneous security classifications of different network domains. The recent proposed cross-domain solutions (CDS) provide initial steps to make such applications possible. However, th ...

    STTR Phase I 2014 Department of DefenseAir Force
  9. Harvesting specific plant metabolites from hairy root cultures using magnetized n

    SBC: NAPROGENIX, INC.            Topic: NCCIH

    DESCRIPTION: Plants produce a wide variety of valuable bioactive metabolites, but these are commonly present in low concentrations in the wild-type plant. This makes the separation and purification of these compounds complicated and expensive. The applicant company, Naprogenix Inc, has developed a technology for increasing the yields of specific bioactive metabolites in mutant plant cell cultures ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
  10. Mitochondrial Uncoupling as a Therapeutic Target in Obesity

    SBC: Nano-Mite Technologies, LLC            Topic: NIDDK

    DESCRIPTION (provided by applicant): Obesity is recognized as a national and global epidemic, as approximately 65% of adults in the United States are classified as overweight or obese as defined by body mass index (BMI). In fact, in the year 2000, the human race reached a historical landmark, when for the first time in history the number of adults with excess weight surpassed the number of those w ...

    STTR Phase I 2014 Department of Health and Human ServicesNational Institutes of Health
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