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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. Adaptive Management and Mitigation of Uncertainty in Fusion (AMMUF)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: MDA13T001

    Missile defense takes place in an uncertain and dynamic environment, so multi-sensor fusion must be employed to aggregate and merge disparate data from the battlefield. However, the fusion process is hindered by the vast amount of uncertainty in operational contexts, such as imprecise measurements and varying environmental conditions. Various algorithms and fusion processes have been developed to ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  2. 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
  3. Base Metal Electrode Capacitor Test Methods

    SBC: FUNDO SCIENCE CORPORATION            Topic: MDA14T003

    Miniaturized base metal electrodes (BME) multilayer ceramic capacitors (MLCC) are of great interest for future missile applications as designers are striving to achieve smaller, lighter, cheaper, faster and better electronic assemblies without sacrificing long-term performance. Unfortunately, screening, reliability and qualifications criteria are either not available or not standardized. In the ...

    STTR Phase I 2015 Department of DefenseMissile Defense Agency
  4. Common Situation Awareness Tool (CSAT)

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: MDA13T004

    Tier1 Performance Solutions proposes to develop CSAT (Common Situation Awareness Tool), a solution that supports more effective event integration and task management, in order to improve situation awareness and knowledge sharing for missile defense system users and stakeholders. At the core of the CSAT solution is an active knowledge management platform designed so that all users share a common sc ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  5. Corrosion Protection of High-Value Test&Evaluation Assets

    SBC: SAN DIEGO COMPOSITES, INC.            Topic: MDA13T010

    San Diego Composites (SDC), Inc. is teamed with the University of Maine and Raytheon Missile Systems to provide the solution for corrosion of Missile Defense Agency assets in harsh marine environments: innovative design and application of high performing composite components. It is well known that composite materials are inherently corrosion resistant and possess superior properties that can be ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  6. Corrosion Protection of High-Value Test&Evaluation Assets

    SBC: ESPIN TECHNOLOGIES, INC.            Topic: MDA13T010

    This STTR Phase I proposal proposes to design and develop reactive filter media using nanofiber technology to capture corrosion inducing particulate matter present in coastal region air. The fibrous filter media will be functionalized using ion exchange chemistry which is known to react with salt ions. The media will be characterized for its filtration performance, resistance to airflow, and dus ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  7. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    The objectives of our Phase I effort are to characterize target sensor measurement uncertainties and feature extraction uncertainties; determine how and where, in the processing chain, these affect target discrimination and classification; show how the different sources of uncertainty lead to the cumulative uncertainty in the final decision; provide techniques that will be instrumental to optimizi ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  8. Decision Making Under Uncertainty

    SBC: Systems & Technology Research LLC            Topic: MDA13T001

    The proposed effort will develop a new approach to characterize and analyze multiple-sensor decision making under uncertainty. The major focus will be on the decision architecture involving multiple Ballistic Missile Defense (BMD) elements and the evaluation of the performance of various decision architectures for ballistic missile object discrimination. The proposed method will provide a well-d ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  9. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  10. Deep Inference and Fusion Framework Utilizing Supporting Evidence (DIFFUSE)

    SBC: BOSTON FUSION CORP            Topic: MDA15T001

    Combining information from disparate sensors can lead to better situational awareness and improved inference performance; unfortunately, traditional multi-sensor fusion cannot capture complex dependencies among different objects in a scene, nor can it exploit context to further boost performance. Integrating context information within a fusion architecture to reason cohesively about scenes of inte ...

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
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