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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: Glycolipids as Inexpensive Solid Supported Ligands for Uranium Remediation

    SBC: GLYCOSURF, INC.            Topic: ET

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project is to develop a green approach to the clean-up and mitigation of uranium-contaminated solutions. Mining in the Southwest United States has left thousands of legacy sites with uranium-contaminated soils. These soils are polluting adjacent water resources that, in turn, pose serious threats to human and ...

    STTR Phase I 2019 National Science Foundation
  2. Additive Manufacturing for Naval Aviation Battery Applications

    SBC: STORAGENERGY TECHNOLOGIES INC            Topic: N18AT008

    The objective of the efforts being proposed is to develop high energy density and power density batteries with long cycle life by high-speed additive manufacturing technologies.

    STTR Phase II 2019 Department of DefenseNavy
  3. Detect and Avoid Certification Environment for Unmanned Air Vehicles (UAVs)

    SBC: RDRTEC INCORPORATED            Topic: N18AT007

    The objective of this project is to develop a comprehensive suite of tools, called the DAA Radar Software Suite and Simulation (DAA-RSSS), that supports future Navy procurement and certification of non-cooperative sensor technologies for Detect And Avoid (DAA) as well as develop plans to support EO/IR sensors as the non-cooperative sensor as informed by FAA activities in developing Minimum Operati ...

    STTR Phase II 2019 Department of DefenseNavy
  4. Conjugate heat transfer for LES of gas turbine engines

    SBC: CASCADE TECHNOLOGIES INC            Topic: N19BT027

    Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...

    STTR Phase I 2019 Department of DefenseNavy
  5. Ocean Surface Vector Winds (OSVW)

    SBC: ATMOSPHERIC & SPACE TECHNOLOGY RESEARCH ASSOCIATES LLC            Topic: N16BT026

    Ocean surface winds are critically important in naval operations. They may aid, hinder, or negate maneuvers and operations, and are a primary consideration in routing ships. Continuous and reliable information on favorable and unfavorable sea state is critical for a broad range of naval missions, including strategic ship movement and positioning, aircraft carrier operations, aircraft deployment, e ...

    STTR Phase II 2019 Department of DefenseNavy
  6. Data Science Techniques for Various Mission Planning Processes and Performance Validation

    SBC: Perceptronics Solutions, Inc.            Topic: N19BT029

    Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...

    STTR Phase I 2019 Department of DefenseNavy
  7. REVAMP: REcommendation, Verification, and Analysis for Mission Planning

    SBC: Intelligent Automation, Inc.            Topic: N19BT029

    Effective and efficient data-driven mission support is crucial for achieving readiness and superiority in warfighting enterprises. Leveraging machine learning (ML) and artificial intelligence (AI) in mission planning would not only minimize the human-error factors and increase accuracy, but also improve speed in planning, execution, and evaluation of a mission. REVAMP will improve the next generat ...

    STTR Phase I 2019 Department of DefenseNavy
  8. STTR Phase II: Deep Learning Technology For The Microscopic Analysis Of Stained Cells Using Unbiased Methods

    SBC: Stereology Resource Center, Inc            Topic: BT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase II project is the development of software to help bioscientists analyze more tissue in less time and with higher accuracy and reproducibility. Currently, stereology studies require a trained technician to sit before a computer screen, making tedious manual counts (clicks) on hundreds to thousands of mic ...

    STTR Phase II 2019 National Science Foundation
  9. STTR Phase I: Thermal Runaway and Pressure Suppression (TRAPS) for Lithium-Ion Batteries

    SBC: ALTECT INC            Topic: CT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) or STTR Phase I project is to develop and commercialize a technology to mitigate safety concerns associated with lithium-ion (Li-ion) battery technologies in electric vehicle, transportation, and energy storage applications. Li-ion battery technology is one of the most transformative innovations in the past d ...

    STTR Phase I 2019 National Science Foundation
  10. Protocol Feature Identification and Removal

    SBC: P & J ROBINSON CORP            Topic: N18AT018

    Protocols used for communication suffer bloat from a variety of sources, such as support for legacy features or rarely used (and unnecessary) functionality. Traditionally, the Navy subscribes to a blanket adoption of a standard protocol "as is". Unnecessary features are active and can be accessed by both internal and external systems creating security vulnerabilities. PJR Corporation's (PJR's) Pha ...

    STTR Phase II 2019 Department of DefenseNavy
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