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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. A Low-Cost, Modular Blast Acquisition Test System

    SBC: ADVANCED MATERIALS & DEVICES            Topic: DHA22B001

    This Small Business Technology Transfer Phase I effort aims at the feasibility of developing a low-cost, modular human surrogate including a sensory system and organ models with integrated pressure sensors.  The proposed system will be utilized for evaluating personal protective equipment (PPE).  Current human surrogates are either costly or do not provide adequate pressure measurements. The pr ...

    STTR Phase I 2022 Department of DefenseDefense Health Agency
  2. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  3. CORE-Military: A Virtual Reality Platform for Emergency Care Training and Assessment in Austere Environments

    SBC: Radiant Images Inc.            Topic: DHA20B001

    In emergency medicine, time is a critical factor that can significantly influence the survival of seriously ill patients. Early recognition of clinical deterioration and rapid initial management is paramount in any setting where emergency care is provided. In military medicine and humanitarian care, delivering high quality and timely care to injured patients poses even greater and more complex cha ...

    STTR Phase I 2021 Department of DefenseDefense Health Agency
  4. In-Ear Exposure Sensor with Integrated Noise Attenuation and Communications Capabilities

    SBC: Diversified Technical Systems, Inc.            Topic: DHA20B002

    According to the Department of Defense, there were more than 400,000 known TBI diagnoses in service members between 2000 and 2019 (DVBIC, 2020). Detection and measurement of potential injury due to blast overpressure and blunt impact have been priorities of the US military for many years, especially since Operation Enduring Freedom (OEF). Among those deployed, estimated rates of probable TBI range ...

    STTR Phase I 2021 Department of DefenseDefense Health Agency
  5. 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
  6. Neurofeedback Training and Hyperscanning for Mission Readiness and Return-to-Duty via Functional Near-Infrared Spectrometry (fNIRS)

    SBC: SOAR TECHNOLOGY INC            Topic: DHA19B001

    Until now,much of theresearch usingfunctional near-infrared spectroscopy (fNIRS) has focused on tailoringasystem to detect onlyafew cognitivestatesand theapplication of theseapproaches outsidethe laboratory is not well tested. This solution provides severely limited coverage of thespacethat this technology could beapplied to,and is notarealistic path for developing neuroimagingasan operational ass ...

    STTR Phase I 2020 Department of DefenseDefense Health Agency
  7. Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects

    SBC: INNOSENSE CORPORATION            Topic: DHA19A001

    Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  8. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  9. 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
  10. Characterization of Piezoelectric Fibers for Sensing Shock Waves from Underwater Explosions

    SBC: ADVANCED MATERIALS & DEVICES            Topic: DHA17C002

    This Small Business Technology Transfer (STTR) Phase I effort will demonstrate the feasibility of using piezoelectric fibers to detect shock waves from underwater explosions (UNDEX) and sensing physiological measures such as heart and respiratory rates on warfighters. Piezoelectric fibers will be characterized for their ability so sense different amplitudes and frequencies of shock and vibration. ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
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