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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Two-color Infrared Laser Arrays for Scene Projection

    SBC: ATTOLLO ENGINEERING, LLC            Topic: A17AT018

    Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...

    STTR Phase II 2019 Department of DefenseAir Force
  2. Reconfigurable / cognitive optical communications

    SBC: VULCAN WIRELESS, INC.            Topic: AF18AT010

    This proposal will outline a bi-directional software defined Free Space Optics (FSO) laser communications testbed with flexible optical elements and reprogrammable waveform and signal processing elements. Vulcan Wireless Inc. currently manufacturers a 1550nm, eye safe, software defined Laser Communications Testbed MD-LC-1 and will use this as a basis for the Phase 1 effort. We will also be teaming ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. CogTracer

    SBC: SOAR TECHNOLOGY INC            Topic: AF18BT001

    From individualized training, to responsive decision-support, and improved human-machine teaming, the ability to accurately predict the cognitive state of an individual in real time would open the door for numerous technologies that would benefit the operational needs of the warfighter. Until now, much of the research using EEG for operational needs has focused on tailoring a system to detect only ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. A Software Toolkit for Predicting the Neural Signatures of Cognitive States

    SBC: SONALYSTS INC            Topic: AF18BT001

    Trends in human-machine teaming and multi-domain operations will only increase the complexity of the tasks facing operators. This complexity comes with design risks: will operators be capable of performing the required tasks within acceptable levels of workload, stress, etc. Often, problems are not discovered until human testing is conducted, late in the process. At that point, design flaws may be ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Deep Agent with Self-learning for Human Events Recognition (DASHER)

    SBC: BOSTON FUSION CORP            Topic: AF18BT002

    Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Nanomaterials-Enabled Electrochromic Eye Protection Device

    SBC: INNOSENSE CORPORATION            Topic: AF18BT003

    This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)

    SBC: Luminit LLC            Topic: AF18BT004

    To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Regional Radio Frequency Attenuation and Interference Monitor (RF-AIM)

    SBC: Silvus Technologies, Inc.            Topic: AF18BT005

    Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or ‘RF-AIM’. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...

    STTR Phase I 2019 Department of DefenseAir Force
  9. Carbon Nanotube FET Modeling and RF circuits

    SBC: CARBON TECHNOLOGY INC            Topic: AF18BT006

    The proposed work aims at detailed investigation of Carbon Nanotube Field-Effect Transistor (CNTFET) device design and its impact on Radio-frequency (RF) circuit performance in comparison to Si-MOSFETs and related circuits at the same channel lengths. The goal is to establish a geometry scalable CNTFET compact model for RF circuit design and determine its parameters based on characteristics from b ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. Carbon Nanotube FET Modeling and RF circuits

    SBC: METIS DESIGN CORP            Topic: AF18BT006

    The computing demands of future data-intensive applications far exceed the capabilities of today’s electronics and cannot be met by isolated improvements in transistor technologies or integrated circuit (IC) architectures alone. Carbon Nanotube Field-Effect Transistors (CNFET) technology has emerged as leading candidate for energy-efficient and high-performance digital systems. Unfortunatel ...

    STTR Phase I 2019 Department of DefenseAir Force
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