You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Low Cost Carbon-Carbon Development for Hypersonic Flight Systems

    SBC: M4 ENGINEERING, INC.            Topic: MDA22T013

    The innovation proposed here is a novel carbon-carbon composite (CCC) manufacturing method based on polymer infusion and polymerization (PIP) using a novel precursor polymer with exceptionally high char yields. This results in a material that has the promise of excellent quality and mechanical properties, while offering the breakthrough advantages of (1) greatly reduced or eliminated need for back ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  2. Paratemporal Simulation with Uncertainty Quantification

    SBC: WARPIV TECHNOLOGIES, INC.            Topic: MDA22T001

    This topic identifies the need creating a Modeling and Simulation (M&S) development and execution environment that significantly decreases the time to execute statistically significant batches of stochastic simulation runs for the purpose of estimating scenario output and outcome distributions while improving statistical knowledge of the outcome distributions. The strategy sought by this topic is ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  3. Reactive Jet Interactions with Multifidelity Turbulence and Tailored Finite-Rate Combustion Modeling

    SBC: ATA ENGINEERING, INC.            Topic: MDA22T005

    To advance simulation techniques, such as high-fidelity computational fluid dynamics (CFD), to accelerate maturation of DACS design through design-time trade studies, there is a need for new, test-validated models that improve both computational performance and the accuracy of the reacting jet in hypersonic crossflow simulations. ATA and CUBRC (a research institution with leading expertise in aero ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  4. Deep Reinforcement Learning (DRL) Enabled Warfighter Assistant

    SBC: TOYON RESEARCH CORPORATION            Topic: MDA22T004

    The U.S. missile defense system (MDS) includes various assets located at sea, on land, and in space that provide global coverage against missile threats to the U.S. and its allies. Elements of the MDS create a layered defense capability providing detection, tracking, discrimination, and intercept capabilities against missile threats. As the MDS and its elements continue to grow and evolve to keep ...

    STTR Phase I 2023 Department of DefenseMissile Defense Agency
  5. High Temperature, High-Strength Refractory CMC Pintles for Controllable Solid Propulsion Systems

    SBC: ULTRAMET            Topic: MDA22003

    Pintles, in controllable solid propulsion systems face a challenging operating environment that includes very high temperatures and large thermal gradients. Increasing the performance of these systems makes that environment even more challenging, as pintles in a solid motor are attached to or near sensitive electrical components that cannot be exposed to high temperatures. Ultramet proposes its ca ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  6. Nanoscale Characterization of Radiation Effects

    SBC: NANOELECTRONIC IMAGING, INC.            Topic: MDA22002

    Microelectronic components in aerospace applications can be subjected to damaging radiation doses during normal operation. Radiation hardness is commonly assessed in the laboratory by irradiating an entire component and performing electrical testing. Sometimes this analysis is supplemented with destructive post-mortem sectioning and imaging. Existing methodologies reveal few details about how irra ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  7. Neural Network for Object Tracking in Congested Environments

    SBC: INTELLISENSE SYSTEMS INC            Topic: MDA22006

    Intellisense Systems, Inc. (Intellisense) proposes to develop a new Neural Network for Object Tracking in Congested Environments (NOTICE). NOTICE innovatively utilizes a combination of neural networks to identify and classify cooperative, non-cooperative, or deliberately deceptive targets in the field of view (FOV) of radio frequency (RF) sensors including passive, bi-static, and sensors using syn ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  8. Cormorant

    SBC: Arete Associates            Topic: MDA22006

    Arete proposes “Cormorant”, an Artifical Intelligence (AI)-enabled algorithm and software suite to fingerprint objects in a cluttered radio frequency (RF) data stream. Cormorant will use an adaptable and extensible algorithm framework with the ability to detect a wide range of relevant airborne and sea based threat signals directly from RF data streams. At the successful completion of Phase I, ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  9. Zooming Object Real-time Intelligent Navigation (ZORIN)

    SBC: Arete Associates            Topic: MDA22007

    Areté has a long history of providing cutting edge artificial intelligence (AI) algorithms for numerous DoD applications. Using that wealth of experience and knowledge, Areté will develop an AI enhancement for current navigation algorithms. In doing so, Areté plans to reduce errors, constrain estimates within a valid solution space, and provide significant improvements in the response to degrad ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
  10. SHEPHERD: Smart Hypersonic Error Prediction and Hypersonic Error Reduction using Deep Learning

    SBC: EPISYS SCIENCE INC            Topic: MDA22007

    As hypersonic technologies emerge, key challenges related to navigation must be addressed. Size and weight requirements impose limitations on both sensor quality and processing power, Global Navigation Satellite Systems (GNSS) positioning is known to be unreliable in contested environments, and classical approaches to error dynamics characterization breaks in high-acceleration conditions. In addit ...

    SBIR Phase I 2022 Department of DefenseMissile Defense Agency
US Flag An Official Website of the United States Government