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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. REsilience & Stability In DENse Terrains (RESIDENT)

    SBC: BOSTON FUSION CORP            Topic: ST17C003

    Boston Fusion Corp. and Arizona State University will research and develop REsilience & Stability in DENse Terrains (RESIDENT), a multi-modal, multi-model, multi-scale framework for assessing indicators of stability and resilience in dense urban environments. Our team consists of subject matter experts in the Social and Computer Sciences providing the bedrock on which to build accurate mathematica ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  2. Development of an Autonomous Glycemic Control Mechanism for Patients Suffering Glycemic Abnormalities as a Result of Critical Illnesses

    SBC: Beta Bionics, Inc.            Topic: ST18C004

    It is well established that hyperglycemia of critical illness, general glucose intolerance, and insulin resistance are common among critically ill patients, including those without a diagnosis of diabetes mellitus upon hospital admission. Such glycemic dysregulation has been linked to increased patient morbidity and mortality, and longer recovery times. Furthermore, tight glycemic control has been ...

    STTR Phase II 2020 Department of DefenseDefense Advanced Research Projects Agency
  3. Adaptive Distributed Allocation of Probabilistic Tasks (ADAPT II)

    SBC: APTIMA INC            Topic: A18BT007

    The future success of military teams operating in dynamic and uncertain environments will require the incorporation of artificial intelligence (AI) to help structure those teams, create plans of actions, execute those plans, and adapt plans as the environment and goals change. Successfully combining human of AI team members can achieve better results than either could on their own, but an uninform ...

    STTR Phase II 2020 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
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