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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. Advanced Solid Axial Stage (ASAS) with Fast ResponseSecondary Hot Gas Injection TVC

    SBC: VALLEY TECH SYSTEMS INC            Topic: MDA18004

    The United States has fielded a layered missile defense system to counter and defeat current hostile missile threats. However, evolving adversarial capabilities requires new propulsion technologies that are highly responsive, agile and compatible to current MDA interceptor platforms. To meet this evolving need, Valley Tech Systems (VTS) is proposing the development of a high performance Affordable ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  2. Low SWaP nuclear magnetic resonance gyroscope

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA18005

    Physical Sciences Inc. (PSI) in collaboration with the Northrop Grumman Corporation (NGC) proposes advancement of a nuclear magnetic resonance (NMR) gyroscope as an inertial sensor for missile and hypervelocity projectile applications.In the NMR gyroscope, the quantum mechanical angular momentum spin in the nuclei of a xenon gas forms the sensing mechanism.Since this atomic vapor has no moving par ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  3. Advanced High End Gyroscopes for Small Form Factor Inertial Measurement Unit Applications

    SBC: FREEDOM PHOTONICS LLC            Topic: MDA18005

    In this program, Freedom Photonics will develop a novel, miniature gyroscope that meets the requirements of the MDA. This gyroscope will be based on our prior work and demonstration of the gyroscope with similar performance, but larger footprint. Approved for Public Release | 18-MDA-9710 (6 Jul 18)

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  4. Lightweight Structures for Future Interceptors

    SBC: Peregrine Falcon Corporation            Topic: MDA18006

    The Peregrine Falcon Corporation utilizing its proprietary technology in the fabrication of exotic materals will produce kinetic vehicle components such as sensor baffles, bulkheads, protective covering, shielding, interfaces, deployment systems, separations systems, housing structures for electronics, and even primary structure that will yield the lightest weight, highest performance structures p ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  5. Nanoscale Vacuum Channel Transistor (NVCT)

    SBC: Innoflight, Inc.            Topic: MDA18007

    Nanoscale Vacuum Channel Transistor (NVCT) technology has been demonstrated as intrinsically insensitive to ionizing radiation effects and robust enough to operate in elevated thermal environments. Nanofabrication processes need to be matured and methods need to be developed to enable advance circuits. The Ballistic Missile Defense System (BMDS) sensor and countermeasure elements can leverage NVCT ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  6. Radiation Hardened Electronics and Techniques

    SBC: INNOSYS, INC.            Topic: MDA18007

    The MDA has needs for radiation-hardened electrical components and circuits. Thermionic-based vacuum devices have demonstrated their ruggedness and insensitivity to radiation, making them the top choice for space based operation.However, manual and cumbersome fabrication does not render it to circuit integration in an integrated circuit (IC) format to ensure best reliability and performance possib ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Wide bandgap SiC based field effect transistor for radiation hard microelectronics

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: MDA18007

    The goal of this project is to develop basic semiconductor components (field-effect transistors) that can be deployed in highly radioactive environments, such as nuclear plants, space, radioactive waste storage facilities. Ionizing radiation often has a detrimental influence on the performance of microelectronics components. We propose to develop a prototype microelectronics technology for use in ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  8. Structurally-Integrated, Multifunctional Components for Next-Gen Kill Vehicles (1000-445)

    SBC: SI2 TECHNOLOGIES, INC            Topic: MDA18008

    SI2 Technologies, Inc. proposes to improve the volumetric efficiency and reduce the system weight of next-generation kill vehicles (KVs) by developing low profile, lightweight, multifunctional components. Specifically, SI2 will utilize in-house capabilities to design and additively manufacture (AM) a multi-functional structure that includes an S-band datalink antenna integrated within the structur ...

    SBIR Phase I 2018 Department of DefenseMissile Defense Agency
  9. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA172002

    Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Low-Shot Detection in Remote Sensing Imagery

    SBC: Next Century Corporation            Topic: NGA172002

    Next Century Corporation proposes the development of Muggsy, a low-shot deep learning detection prototype system that learns to recognize uncommon targets in remote imagery. Our Phase I research extends and leverages an image classification system of our own design called EvoDevo. EvoDevo evolves its own neural network architecture before training to meet the complexity of the data. Muggsy uses le ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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