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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. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  2. Non-Invasive Military Metabolite Analyzer (NIMMA)

    SBC: VIBO HEALTH INC            Topic: A22BT024

    Standard in vitro lab tests can help elucidate a patient’s health and diagnose several possible medical conditions to be monitored. Cost, patient and lab time, and patient discomfort, mean that these tests are done infrequently, and are limited to suspected morbidities. The invasive nature of most tests (requiring blood draws, urine samples, etc.) limits what is measured, and how often. In the ...

    STTR Phase I 2022 Department of DefenseArmy
  3. In situ monitoring to increase reliability of large scale cold spray additive manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A21CT023

    The proposed project seeks to increase the reliability of cold spray additive manufacturing (AM). Cold spray technology has been developed into a large format (1 m x 1 m in x-y) commercial AM system (called WarpSPEE3D) by the Australian company SPEE3D. The Australian Army is currently testing the enclosed, modular AM system in the Australian “bush” as a field-ready AM system. Supply chain and ...

    STTR Phase I 2022 Department of DefenseArmy
  4. Verification, Validation, Assurance, and Trust of Machine Learning Models and Data

    SBC: OPTIMIZATION TECHNOLOGIES, INC.            Topic: A22BT002

    As the use of machine learning (ML) models proliferates in commercial and defense applications, the United States Army (Army) faces significant challenges in evaluating the effectiveness, robustness, and safety of these ML models in armament systems. For the Combat Capabilities Development Command (CCDC) Armaments Center, the decision to enable automated choices in these systems, which encompass l ...

    STTR Phase I 2022 Department of DefenseArmy
  5. Constrained Tomography with Under-Sampled Projections

    SBC: Euler Scientific            Topic: A22BT006

    Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections ...

    STTR Phase I 2022 Department of DefenseArmy
  6. Compact, Low-Cost, Biogas Reformer for 3 kW SOFC Power Generator

    SBC: ASPEN PRODUCTS GROUP INC            Topic: A22BT009

    Ever-increasing demands for power and energy have tethered military field personnel to long logistic tails that limit the ability to maneuver and make resupply convoys prime targets for attack.  The deployment of new power sources with greater efficiencies, increased energy densities, and reduced thermal and acoustic signatures will facilitate improvements to communications, weapons, and support ...

    STTR Phase I 2022 Department of DefenseArmy
  7. Versatile and Interpretable System Explanations for AI in Multi-Domain Operations (VISION)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: A22BT016

    As the Army pivots to larger combat operations, the increased scale and complexity of multi-domain operations (MDO) has heightened the difficulty of synchronizing collection and operations across domains. Commanders conducting planning are limited by “human bandwidth,” which can degrade the quality of plans and desynchronize operations. Unfortunately, the policies learned from many current AI ...

    STTR Phase I 2022 Department of DefenseArmy
  8. Thermal Lensing-Free Chalcogenide Windows

    SBC: TRITON SYSTEMS, INC.            Topic: A22BT017

    Triton Systems, Inc. along with our academic partner have reviewed the commercial and academic literature on chalcogenide glasses that have high transparency in the near infrared.  Based on this, as a team we have identified potential ChG compositional ranges that could meet the Navy's stringent requirements.  We will use prediction analysis based on prior work from our partner to predict likely ...

    STTR Phase I 2022 Department of DefenseArmy
  9. Rapid Freezing Injection Molding and Sublimation Process for Fabrication of Controlled Fragmentation Tungsten Warheads

    SBC: CPS TECHNOLOGIES CORP.            Topic: A22BT005

    Tungsten (W) has been considered for warhead applications as it has a high density, potentially resulting increased lethality from small, low drag, high kinetic energy fragments at increased or predictable standoff distances.  Injection molding (IM) is considered to be the low-cost fabrication high production volume approach for production providing features that promote fragmentation without m ...

    STTR Phase I 2022 Department of DefenseArmy
  10. Additive Manufacture of MOF Loaded Elastomers

    SBC: AKITA INNOVATIONS LLC            Topic: A22BT021

    In this STTR project, Akita Innovations, Adaptive3D and Prof. Ronald Smaldone will team to develop highly loaded, porous MOF elastomer resin systems that can be fabricated into unique architectures via digital light processing (DLP) additive manufacture. The project will leverage Prof. Smaldone’s unique research at the interface of organic framework materials and additive manufacture with Adapti ...

    STTR Phase I 2022 Department of DefenseArmy
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