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Award Data

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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. STTR Phase I: A Closed Loop Process for the recycle of End-of-Life Li-ion Batteries

    SBC: Battery Resourcers LLC            Topic: CT

    The broader impact/commercial potential of this Small Business Technology Transfer Phase I project is to improve the recycling rates and efficiency of lithium ion (Li-ion) batteries, as well as lower the cost of cathode materials for Li-ion batteries. This research project will accomplish these goals by recovering cathode material from a broad spectrum of Li-ion battery regardless of size, shape o ...

    STTR Phase I 2016 National Science Foundation
  2. STTR Phase I: Optical Sensor for Guiding Medical Needles

    SBC: BIOSIGHT, LLC            Topic: BM

    The broader impact/commercial potential of this Small Business Technology Transfer Research (STTR) Phase I project will be, if successful, enabling the development of the smallest Raman spectroscopy-capable fiber probe ever developed. The optimization of a smaller Raman-capable probe will improve a broad range of clinical applications such as coronary artery plaque diagnosis during cardiac angiogr ...

    STTR Phase I 2016 National Science Foundation
  3. STTR Phase I: Recombinant production of anthocyanins in a GRAS microorganism

    SBC: CONAGEN INC.            Topic: BT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the microbial production by fermentation of a group of natural food colorants, called anthocyanins, which will benefit the environment, the food industry, and society as a whole. The fermentation production process provides a "green chemistry" approach to issues usually encountered in traditio ...

    STTR Phase I 2016 National Science Foundation
  4. STTR Phase I: Affinity Chromatographic Cell Sorting (AFFICS) System for Simultaneous Multiple Cell Separation

    SBC: QT HOLDING CORP            Topic: BT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of a cell sorting system to allow separation of two or more cell types to be used in cell therapies for treatment of cancer and other diseases. Purification of specific cell populations from complex materials such as blood is a critical component of cell therapy manufacturing. ...

    STTR Phase I 2016 National Science Foundation
  5. STTR Phase I: Wearable technology that provides real-time comfort data to smart buildings and personalized comfort to occupants

    SBC: EMBR LABS INC            Topic: I

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to introduce wearable personal comfort systems into the internet of things, reducing energy consumption in buildings while improving the comfort and well-being of building occupants. EMBR Labs? proprietary wearable technology generates real-time comfort data, enabling reduced and optimized ...

    STTR Phase I 2016 National Science Foundation
  6. 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
  7. Real-Time Health Management Portable Sensor for Solid Rocket Motors

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA14T004

    Physical Sciences Inc. (PSI) proposes to design, develop, and demonstrate a portable, non-invasive, real-time sensor to assess the chemical and physical health of solid rocket motors as a function of age without affecting the motors integrity nor having direct contact with the propellant. In Phase II, a sensor to monitor specific gas species that are markers of the chemical and mechanical aging pr ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  8. 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
  9. 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, namely Uncertainty Characterization Using Copulas, which will lead to a parametric framework based on the statistical theory of copulas for modeling uncertainties in a centralized fusion architecture for the problem of target classification for ballistic missile defense applications. This ...

    STTR Phase I 2014 Department of DefenseMissile Defense Agency
  10. 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
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