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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. 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
  2. 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
  3. 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
  4. Common Flight Control System (C-FCS)

    SBC: BOLDER FLIGHT SYSTEMS INC            Topic: AFX20DTCSO1

    Unmanned Aircraft Systems (UAS) and Urban / Advanced Air Mobility (UAM/AAM) are rapidly emergent dual-use technology areas that will revolutionize Department of Defense (DoD) and commercial applications in areas such as delivering goods and supplies, disaster recovery and relief efforts, search and rescue, base security, air taxi services, and operations from small or unimproved areas . To enable ...

    STTR Phase I 2021 Department of DefenseAir Force
  5. Satellite Ground Software for Anomaly Monitoring

    SBC: XL SCIENTIFIC LLC            Topic: AFX20DTCSO1

    The need to preserve mission objectives despite setbacks is paramount as space becomes more contested and more congested. Satellites must be resilient such that they can respond quickly to a changing environment and continue to provide services. A key requirement for this resilience is faster detection and recovery from faults, which in turn requires a change in how faults are monitored and correc ...

    STTR Phase I 2021 Department of DefenseAir Force
  6. Assured and Autonomous Coordinated Inspection

    SBC: XL SCIENTIFIC LLC            Topic: AFX20DTCSO1

    The Air Force, in its 2030 Science and Technology Strategy, emphasizes the need for “a collaborative and autonomous network of systems and effects”, and “distributed sensing across domains.” Distributed, collaborative systems require complex control algorithms. Introducing autonomy requires formal guarantees of system safety and correctness in order to deploy in an assured, trustworthy fas ...

    STTR Phase I 2021 Department of DefenseAir Force
  7. 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
  8. 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
  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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