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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. Extracting Valid Inferences from Data, Evidence, and Novel Tests (EVIDENT)

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: AF12BT01

    ABSTRACT: A recent study by the National Research Council found that sophisticated statistical techniques are finding their way into DoD operational test design, but that current DoD practices are still substantially behind the state of the art. The study concluded this has resulted in inefficient test designs, wasted resources, and less effective acquisition decision making. US Air Force test an ...

    STTR Phase I 2013 Department of DefenseAir Force
  2. Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

    SBC: Intelligent Automation, Inc.            Topic: AF12BT02

    ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

    STTR Phase I 2013 Department of DefenseAir Force
  3. Biologically Inspired Plasmonic Integrated Multi-Color Sensors (BI-PIMS)

    SBC: AGILTRON, INC.            Topic: AF12BT03

    ABSTRACT: In this program, Agiltron, Inc. and Harvard University will develop a biologically-inspired integrated sensor that can detect the UV, visible (VIS), near infrared (NIR), and mid-wave infrared (MWIR) bands. This sensor will be integrated with plasmonic filters to provide additional information from the radiation field that may not be available to common image sensors. The advanced integr ...

    STTR Phase I 2013 Department of DefenseAir Force
  4. SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: AF12BT09

    ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

    STTR Phase I 2013 Department of DefenseAir Force
  5. Game-Theoretic Space Situational Analysis Toolbox (GaTSSAT)

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: AF12BT09

    ABSTRACT: By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algori ...

    STTR Phase I 2013 Department of DefenseAir Force
  6. Game-based AutonoMy-Enabled Response (GAMER)

    SBC: BARRON ASSOCIATES, INC.            Topic: AF12BT09

    ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

    STTR Phase I 2013 Department of DefenseAir Force
  7. Robust Decision Tool for Persistent Space Self Defense Systems

    SBC: Intelligent Automation, Inc.            Topic: AF12BT09

    ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

    STTR Phase I 2013 Department of DefenseAir Force
  8. Development of an Innovative System for Cryodeposit Mitigation and Redmediation

    SBC: PHYSICAL SCIENCES INC.            Topic: AF12BT10

    ABSTRACT: Physical Sciences Inc. (PSI) and the University of Tennessee Space Institute (UTSI) propose to develop an innovative system to measure and control the cryodeposit layer thickness that develops on cold surfaces in cryogenic radiometric calibration chambers. The system includes: 1) an in-situ, interferometric-based instrument to monitor the cryodeposit layer thickness, 2) a mitigation sy ...

    STTR Phase I 2013 Department of DefenseAir Force
  9. Adaptive multi-sensor wide area situational awareness system- MP 85-12

    SBC: METRON INCORPORATED            Topic: AF12BT14

    ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

    STTR Phase I 2013 Department of DefenseAir Force
  10. New learning technologies for exploitation of layered sensor data

    SBC: LONGSHORTWAY INC.            Topic: AF12BT14

    ABSTRACT: LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interest

    STTR Phase I 2013 Department of DefenseAir Force
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