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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

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.

  1. Mixed Elpasolite Scintillators

    SBC: Radiation Monitoring Devices, Inc.            Topic: DTRA18B003

    The goal of this program is to develop the mixed elpasolite scintillators in order to achieve an energy resolution of  (≤ 2.5% (approaching 2%) at 662 keV for crystal sizes of up to 2 inch by 2 inch.  In this project we will investigate compositional changes in selected mixed-elpasolite(s) in order to achieve very high energy resolution.  By incorporating 6Li, neutron detection will also be t ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  2. Point of care blood coagulopathy diagnostics

    SBC: Coalesenz Inc.            Topic: DHA19A001

    We have developed a novel low-cost, multi-functional blood coagulation sensor that can measure a patient’s coagulation status within less than 10 minutes using a 25mL drop of blood. This device addresses the critical unmet need to identify and manage patients with an elevated risk of life-threatening bleeding or thrombosis, the major causes of in-hospital preventable death. In addition, our inno ...

    STTR Phase II 2020 Department of DefenseDefense Health Agency
  3. Urbanscape: Single Shot Multi-Task 3D Reconstruction

    SBC: Dzyne Technologies Incorporated            Topic: DTRA18B001

    Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  4. Trajectory Simulation using PSM

    SBC: Triton Systems, Inc.            Topic: MDA17T002

    Triton Systems, Inc., in collaboration with an academic partner, proposes to optimize a method for efficiently running federated simulations of atmospheric and orbital rocket flight. Our tool will be able to simulate large threat/interceptor events with fewer time steps at a given accuracy than current software. This will result in less storage requirements and significantly shorter computational ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
  5. Multisensory Interactive Data Analysis System (MIDAS)

    SBC: Triton Systems, Inc.            Topic: MDA18T001

    The Multisensory Interactive Data Analysis System (MIDAS) is a revolutionary interactive and iterative system for data visualization, hypothesis generation, and hypothesis testing. It provides visualizations and sonifications of datasets under investigation to allow the user to explore relationships between parameters in the dataset and between data sets. MIDAS leverages the vast capabilities of t ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
  6. High Energy Resolution Mixed-Halide Elpasolite Scintillators for Next Generation RIID

    SBC: CapeSym, Inc            Topic: DTRA18B003

    The ability to discriminate between threatening and benign sources depends on the sensitivity, accuracy, and identification speed of the detection equipment. High energy resolution of the radionuclide sensor is necessary to decrease the likelihood of false identification. However, few scintillators achieve better than 3% energy resolution at 662 keV, and none exceed 2.5%. The goal of this effort i ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  7. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: Charles River Analytics, Inc.            Topic: MDA13T001

    In our Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF) project, we will model the entire multi-sensor fusion process as a probabilistic model and reason about the different design and algorithmic decisions that can be made by system engineers. This fusion model will use standard fusion system representations and ideas from statistical relational learning field to create flexibl ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
  8. Discrete 3-D Electronics for Mobile Radiation Detection Systems

    SBC: Radiation Detection Technologies, Inc.            Topic: DTRA18B002

    Phase II will utilize knowledge gained from phase I work to develop and execute a manufacturing process suitable for producing quantities of 3-D printed discrete circuits for radiation detection systems.  The goal is to support mobile radiation detection system requirements for high voltage, analog amplification, and MCA functionality to produce differential pulse height spectra in time sequence. ...

    STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency
  9. MAVERICK II: Mixed-Automation Visualizer for Emerging Relationships & Insights in Complex Knowledge

    SBC: APTIMA INC            Topic: MDA18T001

    System-level simulations of the Ballistic Missile Defense System (BMDS) generate extremely large quantities of highly multidimensional data, which analysts at the Missile Defense Agency (MDA) must explore and analyze to infer insights and relationships. Existing tools based on automated routine scripts are ill-equipped to handle the volume and complexity of these data, requiring piecemeal analysis ...

    STTR Phase II 2020 Department of DefenseMissile Defense Agency
  10. Uncertainty Characterization Using Copulas (UC)2

    SBC: BOSTON FUSION CORP            Topic: MDA13T001

    Boston Fusion, together with our teammate Syracuse University, propose a program of research and development, Uncertainty Characterization Using Copulas (UC)2, that will result in a parametric framework based on the statistical theory of copulas for modeling uncertainties for the problem of object classification. (UC)2 will produce a mathematical framework, founded on rigorous theoretical analysis ...

    STTR Phase II 2015 Department of DefenseMissile Defense Agency
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