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Award Data

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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. Ultrahigh-Bandwidth Robust Performance Diagnostics for Rotating Detonation Engines

    SBC: SPECTRAL ENERGIES LLC            Topic: AF19AT011

    Spectral Energies proposes to design a multisensory diagnostic suite for measurements within elevated-pressure RDEs. This sensor will utilize tunable-laser absorption spectroscopy to measure temperature, pressure and H2O concentrations in the annulus of a rocket-RDE and background-oriented schlieren imaging system for flow density gradient imaging to provide time resolved information about the sho ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009

    SBC: METRON INCORPORATED            Topic: AF19AT009

    The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...

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

    SBC: ESTAT ACTUATION INC            Topic: AF19BT001

    Designing actuation hardware for autonomous systems is challenging due to the high weight and power consumption of conventional actuators and clutches. Compared to existing clutch technologies, the electroadhesive clutches produced by ESTAT have exceptional holding force as a ratio of both mass and power consumption. They weigh 10x less and consumes 1000x less power than other clutching technologi ...

    STTR Phase I 2019 Department of DefenseAir Force
  4. 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
  5. Technical training software platform using machine learning and AR for Air Force maintenance and service operation

    SBC: DISTAT CO            Topic: AF19BT001

    A comprehensive technical training software platform combining computer vision and Augmented Reality (AR) technologies can transform the human learning process and experience. Computer vision is leveraged to understand the physical environment, while AR is used to superimpose contextual information onto the physical world. We aim to provide software solution using AR tools and systems to address s ...

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

    SBC: FLIGHTPROFILER, LLC            Topic: AF19BT001

    RADAR (and similar direct or observational meteorological measuring equipment) has limitations (inability to measure low vis conditions, line-of-site, limited vertical (z-axis), expensive/heavy equipment is required, etc.). To solve these limitations, a Purdue University team (launched via a SBC called FlightProfiler) has developed a technology that delivers a computer generated X-Y-Z environmenta ...

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

    SBC: Semicyber, LLC            Topic: AF19BT001

    There are numerous ongoing research and development efforts on SansEC technology for applications to enhance warfighter and commercial technologies. Two major SansEC applications of interest are (1) the detection of damage on composite airframes, (2) the measuring of the shape of morphing airframes actively in-flight, and subsequently feeding this information back to a flight control system in rea ...

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

    SBC: GHOSTWAVE INC            Topic: AF19BT001

    The proliferation and capabilities of hobbyist off-the-shelf drone systems poses a direct and immediate threat to U.S. national security. This proposal is a cUAS system to track unwanted UAS in the vicinity using stealthy radars that are AJ. The project will start with an understanding of customer needs and how we can adapt our proposal to best meet the needs of the Air Force.

    STTR Phase I 2019 Department of DefenseAir Force
  9. Ultra-Wideband and Full Duplex Radio

    SBC: NOVAA LTD            Topic: AF19BT001

    High-speed and reliable tactical communications have empowered the Air Force with overwhelming information superiority, and control of the battlespace. However, the effectiveness of such systems has been impacted by the increasingly congested and contested spectral environment, compounded by the reliance on half-duplex systems. The latter rely on time- or frequency-division to separate transmit an ...

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

    SBC: KAIROS RESEARCH LLC            Topic: AF19BT001

    Assess the feasibility of a novel technology which automatically generates human-understandable explanations of an artificial intelligence (AI) algorithm’s decisions – for example, a deep neural network’s (DNN’s) classification decisions. Our technology, called EMERALD (Explainable Machine Reasoning through the Application of Linked Data), is designed to improve trust a ...

    STTR Phase I 2019 Department of DefenseAir Force
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