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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. Lightweight Rapid Alloy Development and Fabrication using ICME based Optimization

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N20BT026

    Magnesium alloys offer an attractive combination of good mechanical properties with very low density, making these materials strong candidates for structural applications such as gearboxes for rotary wing aircraft, as well as finding strong interest in the automotive industry for engine and transmission components.  Repair of such structures by additive manufacturing, as well as manufacturing of ...

    STTR Phase I 2021 Department of DefenseNavy
  2. Accelerated Burn-In Process for High Power Quantum Cascade Lasers to Reduce Total Cost of Ownership

    SBC: IRGLARE LLC            Topic: N20BT029

    The development of a burn-in process for high power MWIR and LWIR Quantum Cascade Lasers (QCLs) is proposed. The new burn-in process will be rooted in extensive statistical experimental data to be collected in Phase I and Phase II of this program. This will allow us to extract all the critical empirical parameters required for mean-time-to-failure (MTTF) projections for high power MWIR and LWIR de ...

    STTR Phase I 2021 Department of DefenseNavy
  3. Mulit-modal Sensor Performance Health Monitoring

    SBC: RESILIENX, INC.            Topic: AFX20DTCSO1

    The ResilienX team is proposing to develop a multi-modal sensor performance and health monitoring capability as part of the ResilienX FRAIMWORKTM (Fault Recovery and Isolation, Health Monitoring frameWORK) software platform to determine when surveillance sensors (radar, acoustic, EO/IR, etc.) have degraded accuracy or sensitivity. This capability enables quality assurance and facilitates trust in ...

    STTR Phase I 2021 Department of DefenseAir Force
  4. Lightweight-Low Cost Hyperspectral Sensor Integration to Support Urban Air Mobility Operations

    SBC: Spectrabotics, LLC            Topic: AFX20DTCSO1

    Hyperspectral Imaging (HSI) technologies provide the most accurate imaging method for detecting and classifying remotely-sensed Hazardous Materials (HAZMAT).   Electric Vertical Takeoff and Landing/Urban Air Mobility (eVTOL/UAM) platforms provide the most cost-effective, rapid response, and easy to use data collection platform to support Humanitarian Assistance and Disaster Response (HADR) scena ...

    STTR Phase I 2021 Department of DefenseAir Force
  5. Quiet Propeller using Carbon Nanotube Thin Film Thermophone

    SBC: GREAT LAKES SOUND & VIBRATION INC            Topic: AFX20DTCSO1

    The GLSV and MTU team are proposing a novel acoustic method using carbon nanotube (CNT) thin film as a thermophone embedded into the tip and trailing edge of advanced unmanned aerial vehicles to actively reduce propeller noise.  The of CNT thermophones in active noise cancellation has been demonstrated by the team in engine exhaust applications as well as fan applications to date.  The applicati ...

    STTR Phase I 2021 Department of DefenseAir Force
  6. Advanced supercapbattery for Airforce Applications

    SBC: POLYMATERIALS APP, LLC            Topic: AFX20DTCSO1

    PolyMaterials App, LLC (henceforth PolyMaterials), in collaboration with Dr. Sagar Pandit, Professor of Physics, and Dr. Arash Takshi, Associate Professor of Electrical Engineering from University of South Florida (USF) and Dr. Steve Marantz from Biotech, presents an innovative proposal to construct a supercapbattery (SCB) prototype with high energy and high power. This innovative concept has the ...

    STTR Phase I 2021 Department of DefenseAir Force
  7. OXYGEN: Orb-to-Orb (O2) Air Domain Awareness

    SBC: Unmanned Experts Inc.            Topic: AFX20DTCSO1

    Advanced Air Mobility, Unmanned Traffic Management and Swarm operations all have large numbers of semi-autonomous aircraft operating in close proximity and within confined airspace. Each aircraft, or orb, needs to coordinate with its neighbors for safety,

    STTR Phase I 2021 Department of DefenseAir Force
  8. Quiet, efficient propulsors for SSTOL and UAM

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: AFX20DTCSO1

    Near peer competitors and adversaries increasingly hold fixed overseas U.S. military installations at risk, and the U.S. Air Force is adapting with new mobile and distributed basing and operations strategies. Rapid movement of personnel and supplies using aircraft that are not beholden to large, improved airfields is a critical enabler for such strategies. In addition, these agile, short-field or ...

    STTR Phase I 2021 Department of DefenseAir Force
  9. Heavy Vertical Lift Rotary UAS

    SBC: PHENIX SOLUTIONS, INC.            Topic: AFX20DTCSO1

    Technical feasibility – Phenix Solutions Heavy Vertical Lift Rotary UAS is a Multi-Mission Autonomous Vertical Lift UAS developed to lift, transport, and deliver heavy loads Beyond Visual Line of Sight. This innovative technology gives access to demanding, extreme, and remote areas.  This platform and associated mission equipment delivers a diverse set of capabilities that require heavy li ...

    STTR Phase I 2021 Department of DefenseAir Force
  10. TEACHR: Technical Explanation of Algorithmic Choice Hierarchy and Reasoning

    SBC: COLVIN RUN NETWORKS, INC            Topic: AFX20DTCSO1

    Today, predictive analytics solutions provide workflow automation and data connectivity to enable maintenance recommendations. There is a USAF-identified defense need for explainability of the resultant recommendations for decision support, enabling human users to understand, appropriately trust, and effectively manage the emerging generation of machine learning outputs. Questions to explain predi ...

    STTR Phase I 2021 Department of DefenseAir Force
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