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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. Deep Learning based Automated Ultrasonic Vocalizations Scoring: DLAS

    SBC: Intelligent Automation, Inc.            Topic: DHP16C003

    Ultrasonic vocalizations (USVs) provide an excellent behavioral measure that can be used to understand the effects of traumatic stressors on behavior and can be used to screen and identify therapeutic treatments. This provides a strong justification for the use of rodent USVs as a model for emotional processing in PTSD. Since there are no commercially available USV assessment software programs tha ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  2. Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitions

    SBC: MAKEL ENGINEERING, INC.            Topic: DTRA16A001

    This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  3. High Fidelity Computational Models for Aggregated Tissue Interaction in Surgical Simulations

    SBC: CFD RESEARCH CORPORATION            Topic: DHP16A001

    Surgical simulations aiming to support surgeon practices and medical education have attracted enormous research effort over the last two decades. However, the physical reality, especially on simulating aggregated tissue interaction, is still unsatisfactory. In this proposed work, an open source surgery simulation framework, SoFMIS, will be utilized and enhanced with tissue interaction models to a ...

    STTR Phase I 2016 Department of DefenseDefense Health Agency
  4. In-Mask Sensors for Physiological Investigation of Respiratory Exhalation- INSPIRE

    SBC: MAKEL ENGINEERING, INC.            Topic: DHP16C002

    Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  5. Innovative Mitigation of Radiation Effects in Advanced Technology Nodes

    SBC: RELIABLE MICROSYSTEMS LLC            Topic: DTRA16A003

    Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environments

    SBC: BAYSPEC, INC.            Topic: DHP16C002

    BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  7. Medical Electro-Textile Sensor Simulation

    SBC: LR TECHNOLOGIES, Inc.            Topic: DHA17A001

    LRT proposed to design a EMF detection system using future textile materials for combat uniforms. The sensor and signal processing design will be evaluated in phase I.

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  8. Modeling of Polytonic Dose Response Relationships

    SBC: LipoSeuticals Inc            Topic: DHP16C001

    Dose response relationships are fundamental to pharmacology and many other fields. Increasingly, scientists are encountering polytonic dose response relationships. These relationships are not well-characterized by linear and s-shaped models. Our team has extended the traditional 4 parameter logistic model by replacing the dose parameter with the quadratic function as an effective dose function. Th ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
  9. Modular Pulse Charger and Laser Triggering System for Large-Scale EMP and HPM Applications

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: DTRA16A004

    For effective protection against EMP and HPM threats, it is important to understand the physics of the threats, and also to quantify the effects they have on electrical systems. EMP and HPM vulnerability testing requires delivery of high peak power and electric fields to distant targets. The most practical solution to simulate such environments is to develop a modular, optically-isolated MV-antenn ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  10. Multimodal imaging system for burn injury assessment

    SBC: UTOPIACOMPRESSION,CORPORATION            Topic: DHP16C005

    The goal of this STTR effort is to design a portable, multimodal, non-contact imaging system for burn depth diagnosis and tracking of wound healing. UC and Vanderbilt University will build upon our previous efforts demonstrated via porcine model studies to combine results from structural B-mode optical coherence tomography (OCT) images and functional data (pulse speckle imaging- PSI) to classify d ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
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