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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. Flying Missile Rail and High-Rate Production

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: SB173005

    CRG proposes to leverage its partnerships, advanced aerospace system design capabilities, and unique manufacturing technologies to design, build and demonstrate a flying missile rail along with the high-rate production technologies required to meet DARPA’s objectives of 500 units per month, within one month. CRG will focus on high-rate manufacturing technologies currently in use within the autom ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  2. Teammate Aware Autonomy (TAA)

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: N17AT025

    As systems become more heterogeneous and distributed, determining optimal actions for each “teammate” within the system becomes increasingly complex. A particular difficulty in guiding the actions of these teammates is the fact that they are not guaranteed to follow suggestions provided by a supervisor, especially when those suggestions are inconsistent with the teammate’s tendencies, prefer ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  3. SWIFT ARROW STTR Phase 2

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: OSD12AU3

    In Dense Urban Environments (DUEs), a new and evolving battlefield, the ability to detect and respond quickly to multiple threats in complex environments (e.g., snipers on rooftops or in windows) is critical and is extremely important to both civilian and military tactical needs. Response latency in the critical moments after the beginning of an attack can significantly increase casualties. SWIFT ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  4. Design and Develoment of High Performace Microbolometer using VOx, CNT and Graphene for IR Applications

    SBC: MAGNOLIA OPTICAL TECHNOLOGIES, INC.            Topic: MDA04020

    The Microbolometer based IRFPA’s are currently in production for defense and Security applications. The microbolometer performance is limited by the TCR and frequency of operation. The proposed Phase II SBIR will allow DARPA to explore the further enhancement in TCR by more than an order of magnitude and higher frequency of operation from current 100 Hz. These improvements will allow use of the ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  5. Processes for Fabrication of Atomically Precise Strongly Correlated Materials

    SBC: XALLENT INC.            Topic: ST17C002

    Developing knowledge-driven nanoelectronics for military applications requires understanding the fundamental physics that governs the behavior of the underlying material. Strongly correlated materials have very desirable properties such as interfacial superconductivity, ferroelectricity, ferromagnetism, and huge magnetoresistance, which make them an ideal set of candidates to integrate with semico ...

    STTR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  6. Electrochemical Drug Infusion Pump

    SBC: LYNNTECH INC.            Topic: OSD05H01

    The CONOPS for the Expeditionary Medical Support System (EMEDS) is based on practical effectiveness, speed, and efficiency. Key among the tools required by the Air Mobility Command and the Air Combat Command, which are two of the major commands that are part of the United Air Force is a multi-channel intravenous infusion pump capable of delivering fluids that meets the safe-to-fly criteria for all ...

    SBIR Phase II 2019 Department of DefenseDefense Health Agency
  7. Analyzing Human Dimensions of Software Engineering Processes

    SBC: APPLIED VISIONS, INC.            Topic: SB172007

    The Secure Decisions team will conduct research to: 1) determine how human dimensions of software engineering (SE) processes influence software security and quality; and 2) develop mechanisms for measuring these relationships in both open source and closed (private) development environments. The human dimensions of interest are: characteristics and behaviors of developers and development teams; en ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  8. Electronically Switchable Optical Filter

    SBC: Kent Optronics, Inc.            Topic: SB172010

    This SBIR Phase II proposal proposes to develop a formal prototype of a fast speed electronically Switchable Optical Filter in 900-1700nm. The result is a compact plate-like filter with 50mm optical aperture in diameter and 3.4mm physical thickness. The filter can be electronically switched between a broadband transmission state over the entire 900-1700nm and a narrow bandpass transmission at 1,55 ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  9. Spacecraft Identification Device

    SBC: Tiger Innovations, Inc.            Topic: SB171015

    This SBIR Phase II proposal is for continuing the development of a second generation Spacecraft Identification Device (a.k.a. Gen 2 beacon) for the Space Object Automated Reporting System (SOARS™) and maturing the supporting ground infrastructure. SOARS™ combines space-object beacons; automated, low-cost, ground collection sites; and a central control center which together provide near-real ti ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
  10. Machine Learning-Based Capability for Radioactive Threat Detection and Identification

    SBC: PHYSICAL SCIENCES INC.            Topic: DTRA162001

    Physical Sciences Inc. (PSI) proposes to develop advanced machine learning (ML) algorithms to perform detection, classification and identification of radioactive sources in near real time based on analysis of data generated by radiation sensors. The algorithms will be packaged as of an integrated Advanced Learning-Enabled Radioactive Threat Search (ALERTS) software suite compatible with new networ ...

    SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency
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