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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. Revolutionary Airlift Innovation

    SBC: LOGISTIC GLIDERS INC.            Topic: ST14B004

    We propose to mature LG-X glider technology by manufacturing full-scaled prototypes and characterizing them in land-based flight-testing by using commercial aircraft to drop the gliders. Validated components such as the landing parachute, folding wing mechanism, and autopilot control system will undergo integrated flight-testing. Logistic Gliders will provide a considerable cost share to support ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  2. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing the development of an analog co-processor to accelerate computation of partial differential equations (PDEs) prevalent in scientific simulation. Examples include Navier-Stokes equations for computational fluid dynamics (CFD) an...

    STTR Phase II 2017 Department of DefenseDefense Advanced Research Projects Agency
  3. Group Dynamics Modeling, Forecasting, and Validation

    SBC: Systems & Technology Research LLC            Topic: ST12B002

    Building on our prior research in group discovery and tracking, we propose to develop new algorithms for predicting future behaviors of social media groups. These algorithms will be based on emerging social interaction theories and new computational models of group dynamics at multiple levels, from individual roles and interactions to aggregate trends within and across groups. Our approach takes a ...

    STTR Phase II 2017 Department of DefenseDefense Advanced Research Projects Agency
  4. Context-driven Active-sensing for Repair Tasks II (CART II)

    SBC: DYNAMIC OBJECT LANGUAGE LABS INC.            Topic: ST14B003

    Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  5. PSSC: Pictorial Structures for Scene Context

    SBC: SOAR TECHNOLOGY INC            Topic: ST14B003

    We propose to develop a Visual Context Understanding (Vis-CU) intelligent agent.Vis-CU tightly integrates vision processing with cognitive reasoning.The vision processing draws the wide array of vision processing capabilities, integrated through the University of Michigans sparse component model into the Soar Cognitive Architecture (Soar).This tight integration facilitates the development of a ric ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  6. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    Inspecting for and detecting counterfeit, unapproved material substitutions or substandard processed raw material using existing processes is difficult, time consuming and expensive.Ocean Bay, LLC and the Primary Investigator, Karen Bruer, formed a team consisting of Ocean Bay, LLC, Savanah River National Laboratory and Old Dominion University, to apply for DLA15C-001:Detecting Substandard, Noncon ...

    STTR Phase II 2017 Department of DefenseDefense Logistics Agency
  7. Analog Co-Processors for Complex System Simulation and Design

    SBC: Arete Associates            Topic: ST15C002

    It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  8. Multiplexed Biofiltration of Volatile Organic Compounds

    SBC: WARNER BABCOCK INSTITUTE FOR GREEN CHEMISTRY LLC            Topic: ST16C001

    Volatile organic compounds (VOCs) in air, especially in closed environments pose a major health threat. There is a critical need to remove these pollutant, and biofiltration is a promising solution to this need. This is a Phase I STTR proposal to develop...

    STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
  9. Using Magnetic Levitation for Non-Destructive Detection of Defective and Counterfeit Materiel

    SBC: Nano Terra, Inc.            Topic: DLA15C001

    The introduction of substandard or counterfeit materials into the DoD supply chain can have extremely expensive, and potentially life threatening, consequences. Current techniques used to detect nonconforming materiel can be destructive (e.g., manual sectioning and inspection of a part), time consuming and expensive (e.g., micro-computed tomography, ultrasound), or provide only limited informatio ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  10. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing design of a memristor-CMOS co-processor to implement analog Discrete Fourier Transforms (DFTs). The analog co-processor invokes spectral methods to solve a class of linear and non-linear partial differential equations (PDEs) arising in the scientific simulation of complex systems. Current PDE solution methods are inefficient and often intractable due to limitations assoc ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
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