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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. Nonlinear Phased Array System for Detection/Imaging of fatigue damage precursors and assessment of remaining useful life

    SBC: Metallurgical Acoustic Research Solutions, LLC            Topic: AF20ATCSO1

    Despite decades of experimental and theoretical studies cyclic fatigue failure remains one of the most critical challenges for engineering as it can occur without any indication of impending failure. More than half of mechanical in service failures are due to cyclic fatigue resulting in unanticipated and significant costs. Metallurgical Acoustic Research Solutions, LLC (MARS, LLC) in collaboration ...

    STTR Phase I 2020 Department of DefenseAir Force
  2. Fully Adaptive Radar Resource Allocation-- 19-061

    SBC: METRON INCORPORATED            Topic: AF19BT003

    The goal of the proposed effort is to develop a fully adaptive radar resource allocation framework for concurrent detection and tracking of targets. While the methods we will develop are general, we will specialize our analysis to ground targets by including clutter and using kinematic models relevant to ground targets. In Phase I, we will develop both task-driven and information-driven metrics in ...

    STTR Phase I 2020 Department of DefenseAir Force
  3. Adaptable Cyber Defense for Autonomous Air Operations

    SBC: OCEANIT LABORATORIES INC            Topic: AF19CT003

    In this Phase I SBIR, Oceanit will develop a novel, powerful, adaptable cyber defense capability to support autonomous Air Force weapons systems.

    STTR Phase I 2020 Department of DefenseAir Force
  4. Anti-Fouling HybridSil-TM Membranes for Potable Air Force Water Needs

    SBC: NANOSONIC INC.            Topic: AF19CT010

    In this Special AF program, NanoSonic shall explore our commercial product, HybridSil ICEPHOBIC nanocomposite combined with WashU’s Distillation Membranes as a Defense-Related Dual-Purpose technology for near-term military functional hybrids (AFOSR FOCUS AREA RTB2) and commercial water purification markets. NanoSonic has developed HybridSil ICEPHOBIC (HS IP) as an ice mitigating hybr ...

    STTR Phase I 2020 Department of DefenseAir Force
  5. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: AXON CONNECTED, LLC            Topic: AF19CT010

    The U.S. military uses Fiber Optic (FO) technology for a wide variety of air, sea, ground, and space applications. Military aerospace and avionics applications are especially challenging due to extreme harsh environment considerations, ability to service, and the limited optical power (loss) budget. Based upon consumer off the shelf (COTS) components, this program will develop a new handheld, mobi ...

    STTR Phase I 2020 Department of DefenseAir Force
  6. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: GREAT LAKES CRYSTAL TECHNOLOGIES INC            Topic: AF19CT010

    We propose to perform customer discovery in Phase I to identify quantum grade single crystal diamond requirements for future Air Force quantum technologies with an aim to extend our state-of-the-art diamond synthesis process to demonstrate prototype quantum grade diamond in Phase II and to establish a domestic supply of quantum grade diamond in Phase III.

    STTR Phase I 2020 Department of DefenseAir Force
  7. Novel Image Segmentation Methods for Missile Attitude

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF19BT005

    Missile attitude in flight can be difficult to determine from ground-based images due to image resolution, lighting, object occlusion, and poor contrast. To address the need, UHV and UTARI propose a fusion based approach of 2 well proven methods to solve this problem. First, UHV Technologies will implement their existing innovative and state of the art machine learning methods for image segmentati ...

    STTR Phase I 2020 Department of DefenseAir Force
  8. Improved Identification of the function of Novel and Partially Occluded Laboratory Equipment.

    SBC: NOVATEUR RESEARCH SOLUTIONS LLC            Topic: DTRA19B002

    This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

    STTR Phase I 2020 Department of DefenseDefense Threat Reduction Agency
  9. Bayesian Fusion of Heterogeneous Data for Unanticipated Event Detection

    SBC: METRON INCORPORATED            Topic: AF16AT12

    Metron, Inc. and Portland State University propose to design, develop, test and demonstrate algorithms that fuse heterogeneous sensor data at an information theoretic level and process these data as detection and tracking algorithms that can identify when new events or targets emerge that are not currently modeled. These algorithms have the potential to provide dramatic improvements in the capabil ...

    STTR Phase I 2016 Department of DefenseAir Force
  10. CyberSTEPS- Cyber Skills Training with Electronic Performance Support

    SBC: TIER 1 PERFORMANCE SOLUTIONS LLC            Topic: AF16AT08

    There are many challenges in creating Air Force systems that are resilient against cyber threats. The cyber environment and its threats are highly dynamic, requiring practices and training to be dynamic as well. Cyber threats must be considered during th...

    STTR Phase I 2016 Department of DefenseAir Force
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