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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. Scalable Adaptive Fiber-Array Elements (SAFARE) for Directed Energy Phased Arrays

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: AF12BT13

    ABSTRACT: To address the Air Force need for an adaptive optics system using a fiber laser array as the spatial phase correction system within the subaperature of an array of discrete telescopes, Optonicus and The University of Dayton propose the development of a new Scalable Adaptive Fiber-Array Elements (SAFARE) system. The integration of new fiber-array architectures with novel imaging and ada ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Tracking and Assessing Learner Engagement Toolkit (TALENT)

    SBC: EDUWORKS CORPORATION            Topic: AF17AT009

    The U.S. Air Force trains and educates a large and diverse workforce to meet requirements across a complex array of missions. Early-stage training in many Air Force Specialty Codes can consist of large corpora of foundational, static material, so training that motivates airmen is a necessary element in helping ensure a supply of qualified personnel in mission-critical areas like aerospace maintena ...

    STTR Phase I 2017 Department of DefenseAir Force
  3. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc.            Topic: AF17AT009

    Training can now delivered on a large scale through platforms, but must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels or engagement during learning, and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimize engagement and m ...

    STTR Phase I 2017 Department of DefenseAir Force
  4. Innovations in Physical Modeling and Statistical Exploitation of Electromagnetic Target Signatures

    SBC: Five Focal LLC            Topic: AF12BT06

    ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Intra-Subaperture Adaptive Optical (ISAO) System

    SBC: NUTRONICS, INC.            Topic: AF12BT13

    ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Development lightmap rendering technology to advance infrared simulation capabilities for training applications

    SBC: CORNERSTONE SOFTWARE SOLUTIONS INC            Topic: AF17AT012

    Recent technology advances have enabled the simulation community to achieve greater realism in virtual training environments. As new methods for synthetic image generation are developed, the lack of readily available supporting data to populate these specialized techniques limits their implementation. Currently the capability is not available to efficiently generate enhanced temporal energy maps ...

    STTR Phase I 2017 Department of DefenseAir Force
  7. A LevelSet / XFEM Approach for Topology Optimization of Thermally Loaded Structures

    SBC: Lateral Unbounded Software LLC            Topic: AF17AT015

    The automotive and aerospace industries use topology optimization to minimize structural weight while satisfying functional constraints. However, the industry-standard fictitious material or density approach has been less effective when applied to physics beyond simple structural mechanics. Known issues include: failed numerical convergence or so-called gray material in computed optimal designs, n ...

    STTR Phase I 2017 Department of DefenseAir Force
  8. Compact Laser Drivers for Photoconductive Semiconductor Switches (16-RD-863)

    SBC: UES INC            Topic: DTRA16A004

    Compact Electromagnetic Pulse Module (EMP) capable of being arranged in series-parallel planar or cylindrical arrays is needed to simulate nuclear weapon effects. High gain optically triggered photoconductive semiconductor switches (PCSS) based on Gallium arsenide (GaAs) with low timing jitter enables the development of planar or phased arrays of modular EMP or High Power Microwave (HPM) sources. ...

    STTR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  9. Securing the Internet of Things in Tactical Environments

    SBC: Kalos Technologies, Inc.            Topic: AF16AT10

    Kalos Technologies Inc. (Kalos) and Temple University submit together this STTR Phase I proposal entitled Securing the Internet of Things in Tactical Environments to the Air Force in response to solicitation topic AF16-AT10: Securing the Internet of Things. It is the Kalos and Temples effort in the development of hardware-based security, embedded system security, secure communication, and secure I ...

    STTR Phase I 2016 Department of DefenseAir Force
  10. Enhanced WAAVES+: A Fast and Accurate Automated USV Scoring Program

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: DHP16C003

    Cornerstone Research Group (CRG) and the University of Texas (UT) will team to develop a fast and accurate automated analysis program for USV scoring. This automated tool will enable greater research efficiency and throughput allowing greater strides in developing treatments for post-traumatic stress disorder through rodent-based research. Building off prior work by UT on a first generation auto-s ...

    STTR Phase I 2017 Department of DefenseDefense Health Agency
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