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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. 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
  2. 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
  3. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV Technologies Inc            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Electronically Dimmable Eye Protection Devices (EDEPD)

    SBC: ALPHAMICRON, INCORPORATED            Topic: AF18BT003

    The team of AlphaMicron Inc. and Kent State University proposes a novel LC technology, the dynamic polarizer, as a light control system for Battlefield Airmen and Pilots. The dynamic polarizer technology shares the performance capabilities of AlphaMicron’s e-Tint LC light control technology: instantaneously fails-to-clear, millisecond switching times, and customizable tint and color. Howeve ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Real-Time Stress Biomarker Sensor

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: AF18CT001

    Research is currently identifying new biochemical markers to help monitor cognition and stress in the human body and enhance human performance. Traditional biometric markers like heart rate, temperature, oxygen partial pressure, blood glucose, electrolyte concentration, and others have been correlated with cognition and stress states. However, the correlation is indirect. Molecular biomarkers with ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Electron emitting graphene based composite coating for spacecraft charging mitigation

    SBC: Faraday Technology, Inc.            Topic: AF18AT011

    Faraday and Utah State University propose to demonstrate the feasibility of utilizing electrophoretic deposition to develop graphene features with controlled functional properties in order to address the DoD need for a spacecraft charging mitigation. Implementation of such materials in DoD mission areas is anticipated to lower costs, improve sustainability, and increase readiness. The proposed Pha ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI, INC.            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Software-Performed Segregation of Data and Processes within a Real-Time Embedded System

    SBC: TRUSTED SCIENCE AND TECHNOLOGY, INC.            Topic: AF19AT013

    Majority of mission critical systems store and transport heterogeneous information with multiple level of security , which requires assured information segregation. The proposed technology is a software solution to provide highly assured data and process separation and isolation.

    STTR Phase I 2019 Department of DefenseAir Force
  9. Tunable bioinspired spatially-varying random photonic crystals

    SBC: Electro Magnetic Applications, Inc.            Topic: AF19AT017

    Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Vibration imaging for the characterization of extended, non-cooperative targets

    SBC: Guidestar Optical Systems, Inc.            Topic: AF19AT006

    Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...

    STTR Phase I 2019 Department of DefenseAir Force
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