You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. Room Temperature Quantum Memory

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF19BT001

    Quantum computer technology is so critical and strategic that the Air Force Research Laboratory is itself working on a quantum bit focused on the trapped ytterbium (Yb+) ion. The current technology based on entangling electrons, photons, or ions are challenging to put together in multiple qubits. To make a qubit stable, it is essential to protect it from outside interferences that can disrupt the ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: WEAVER LABS LLC            Topic: AF19BT001

    This project aims to develop material that can selectively bind fluorinated contaminants via surface modification of a proprietary material. Specifically, the project will focus on the removal of perfluoocatnoic acid (PFOA) and perfluorooctane sulfonic acid (PFOS) which have been widely used for numerous purposes given their unique physical properties. The molecules tend to be both water, oil, and ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: Casey Corp Defense LLC            Topic: AF19BT001

    Our group specializing in Micro Computer research of Small Arms aims to make the world’s first "Smart Gun", rifle- sensor integration and Integration of UAV interfaces to Small Arms. We have invented a novel way for a rifle to fire behind cover, or obstacles called the Side Strike Display (SSD) system; while also integrating Micro Computer capabilities to small arms. The Micro Computer Inte ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. Open Call for Science and Technology Created by Early-Stage (e.g. University) Teams

    SBC: GHOST DISPLAY TECHNOLOGIES, LLC            Topic: AF19BT001

    By applying a thin film transistor (TFT) array to a flat panel display technology such as an organic light-emitting diode (OLED) display, current high-quality (high-resolution) display products including TV, Tablet PC, and smartphone screens have been successfully realized. However, the rigid and fragile TFT backplanes limit OLED display applications for flexible and wearable display products. The ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Ultra Wideband Receiver (UWR) – Sample Clock Modulation

    SBC: OCEANIT LABORATORIES INC            Topic: AF18CT003

    Modern electronic warfare (EW) employs agile, dynamic, convert waveforms. It has become challenging for legacy electronic intelligence (ELINT) receivers to intercept such waveforms. To cover a wide frequency band, many frequencies must be scanned rapidly. Therefore, the probability of intercepting by the super heterodyne receiver is limited by the intermediate frequency (IF) bandwidth and tuning s ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. Portable Bioprinted Organoids for Physiological Monitoring

    SBC: CFD RESEARCH CORPORATION            Topic: AF19AT002

    hazardous chemicals such as JP8, chromium, and byproducts of led-free frangible ammunition and to hazardous environments. Of the many dangers Airmen face, the hypoxia-like unexplained physiological events pilots face are some of the most dangerous and elusive. Current wearable sensors cannot decouple complex, interdependent in vivo response. We propose to develop (design, fabricate, test, and demo ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Detection and Recognition of Airborne Chemicals Onboard (DRACO) a Small Unmanned Aircraft System (SUAS)

    SBC: RPX TECHNOLOGIES INC            Topic: AF19AT016

    This proposal seeks funding to develop a small unmanned air system capable of operating indoors, in confined spaces while detecting and recognizing airborne chemical compounds. All the obstacle avoidance, flight control, chemical detection and chemical recognition are done onboard the small unmanned system, in real-time, providing rapid feedback to the operator. The Detection and Recognition of Ai ...

    STTR Phase I 2019 Department of DefenseAir Force
  8. Multi Scale Multi Fidelity Carbon-Carbon Manufacturing Process Modeling with Data Fusion

    SBC: CFD RESEARCH CORPORATION            Topic: AF19AT021

    The proposed effort aims to deliver a novel process model for carbon-carbon manufacturing to determine thermo-mechanical properties of these materials and their components, thereby enabling a faster cycle for material development for hypersonic platforms. The proposed solution consists of (1) requirement and functionality analyses, (2) a six-level model representing the key steps of the manufactur ...

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

    SBC: Aegis Technologies Group, LLC, The            Topic: AF18BT003

    Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. 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
US Flag An Official Website of the United States Government