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

    SBC: PARRY LABS, LLC            Topic: SOCOM23B001

    Existing airborne defense systems integrate a wide variety of sensors necessary to provide operators with situational awareness across the visual, thermal, signals, and electromagnetic spectrums. To date, individual sensor systems have been largely stove-piped, as have Artificial Intelligence/Machine Learning (AI/ML) and advanced, Size, Weight, and Power (SWaP)-optimized data processing systems. T ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  3. Low Cost Imaging In The mm Wave Region Using Plasma Waves in High Mobility Transistor

    SBC: BRIMROSE TECHNOLOGY CORP            Topic: CBD22BT001

    In this work, we propose to develop low-cost, high sensitivity high electron mobility transistor-based W-band millimeter wave focal plane array/camera based on mature ternary III-V epitaxial materials of InAlAs on top of InP substrate. The plasma-wave detector uses well established mature technology of high electron mobility transistors which allows future integration and reduces cost. The detecto ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  4. Low Cost W-Band Imaging Array

    SBC: MILLIMETER WAVE SYSTEMS LLC            Topic: CBD22BT001

    Low-cost systems operating at video rates within W-band have remained elusive – especially for stand-off and remote applications. Real time video rate imaging requires parallel detection modalities that traditionally led to high costs and calibration challenges. Substantial advances in low-cost packaging and chip-level integration driven by commercial millimeter-wave applications can now be appl ...

    STTR Phase I 2023 Department of DefenseOffice for Chemical and Biological Defense
  5. 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
  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. 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
  8. Fast Startup, Fuel Flexible CPOX System for SOFC

    SBC: PRECISION COMBUSTION, INC.            Topic: A22BT009

    A compact and portable SOFC, 1-3 kW, is an excellent choice to convert a hydrocarbon fuel source to electricity due to its high efficiency. Currently, SOFCs are optimized to run a single fuel source, and a fuel flexible reforming technique that can integrate with SOFC is needed to have the potential to utilize all different energy assets, including propane, methane, and biogas. Catalytic partial o ...

    STTR Phase I 2022 Department of DefenseArmy
  9. Cryogenic Optical Links for Digital Sensor Transmission and Readout with Energy Efficient Modulators

    SBC: LUCIDEAN, INC            Topic: A22BT018

    Digital sensor data received by infrared focal plane arrays (IRFPA) faces a readout bottleneck before exiting the cooled environment to room temperature processing. This is the very same bottleneck faced in other applications with harsh environments, such as quantum and classical supercomputing. Electrical links are lossy and bandwidth limited, and coaxial cables have a high thermal conductivity a ...

    STTR Phase I 2022 Department of DefenseArmy
  10. 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
US Flag An Official Website of the United States Government