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Award Data

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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.

Displaying 1 - 10 of 3075 results
  1. Team-based Aircraft Maintainer Support (TAMS)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: AF04060

    Keeping the Air Force assets flying is difficult enough at depot level where there are extensive facilities and expert help. But in an austere environment, these advantages aren’t present. A recent innovation, the Portable Maintenance Aid (PMA), is a new type of tool to help the human through these situations. PMAs are mobile computing devices that can be used at the point of maintenance and ran ...

    SBIR Phase II 2005 Department of DefenseAir Force
  2. ArmaNet: Integrated Development Environment (ArmaNet IDE)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: AF04163

    The time and cost it takes to integrate new airborne weapons on platforms is still too great. The current F-15E Strike Eagle weapon integration timeline is 4 years, from requirements to fielding, and costs up to 20 million dollars. What is really needed for rapid aircraft-store integration is a development environment for a “plug-and-play” capability like that of today’s PC-based multi-media ...

    SBIR Phase II 2005 Department of DefenseAir Force
  3. Grid-Group Cm-alpha, Profiling Cultural Factors for Decision Aiding

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: AF05069

    Culturally diverse people are now participating in military multinational coalition applications as well as in extreme environments - once the province of American males drawn from a relatively homogenous cultural pool. Human biases and routines, capabilities and limitations strongly influence overall system performance; whether during operations or in simulations using models of humans. Many mi ...

    SBIR Phase I 2005 Department of DefenseAir Force
  4. Structure from Motion

    SBC: DEUMBRA, INC.            Topic: AF04170

    The Real-Time Structure From Motion (RTSFM) system combines state-of-the-art techniques and novel methods to compute 3D models of battlefields in real time from calibrated image sequences. Unlike most computational stereo approaches, the work is tailored for long sequences of calibrated imagery under near-planar small-baseline motion – sequences typically generated from loitering unmanned aeria ...

    SBIR Phase II 2005 Department of DefenseAir Force
  5. Expert Intelligent Match of Requirements and Solutions

    SBC: DEUMBRA, INC.            Topic: AF04087

    ExPERT is an intelligent search engine that unifies neurosymbolic computing with advanced natural language processing techniques derived from ontological semantics. The primary operational goal for ExPERT is for use in determing whether a proposed solution matches identified Air Force needs in order to amplify the effectiveness of an analyst and maximize his time. However, ExPERT can be used to ...

    SBIR Phase II 2005 Department of DefenseAir Force
  6. Advanced Future Fires and Effect Component Technology

    SBC: DEUMBRA, INC.            Topic: A05005

    The aim of this project is to research, develop, and validate Advanced Future Fires and Effects Component Technology (AFFECT), a system focused on significant improvement of network-centric fires management, control and execution. The proposed system would provide foundational components for the development of network fires management software. These components will provide mechanisms for resolv ...

    SBIR Phase I 2005 Department of DefenseArmy
  7. NOMAD: Advanced Algorithms for Prediction, Display, and Visualization of Moving Targets

    SBC: DEUMBRA, INC.            Topic: A05004

    In this Phase I, we shall develop NOMAD, a moving target prediction system. For each moving enemy target, NOMAD exploits (1) models describing the physical behavior of the moving target and (2) live intelligence about the target from spots reports or sensors such as UAV's. Using this as input, NOMAD's prediction algorithms compute the target's location at future time intervals along with an asso ...

    SBIR Phase I 2005 Department of DefenseArmy
  8. Automated Tools to Assist FDO Duties

    SBC: DEUMBRA, INC.            Topic: AF05099

    21st Century Technologies presents the Phase I SBIR project, TEGO (from Latin, tego, to conceal, protect, shield). TEGO will analyze text messages between US and foreign coalition personnel to detect disclosure-perhaps unintentional-of sensitive information to generate an alert for a human decision maker (i.e., a Foreign Disclosure Officer or FDO). The process is currently too manual to be of ef ...

    SBIR Phase I 2005 Department of DefenseAir Force
  9. ATO-STREAM: Streaming ATO Generation

    SBC: DEUMBRA, INC.            Topic: AF05107

    Today's ATO process is inherently complex, and the complexity increases as the Air Force moves to Effects-based Operations (EBO) and dynamic tasking. To support these next generation Air Tasking requirements, 21st Century Technologies and C3I Associates present ATO-Stream, a capability, leveraging previous work, that takes a continuous stream of targets, resources, and battlefield conditions an ...

    SBIR Phase I 2005 Department of DefenseAir Force
  10. Foveated ACquisition, Tracking, and Object Recognition (FACTOR)

    SBC: DEUMBRA, INC.            Topic: AF05159

    Recently-developed foveating optical sensors like the VASI camera offer new opportunities to significantly increase the effectiveness of automated munitions, unmanned aerial vehicles, and missile defense systems. Foveating sensors reduce the bandwidth and computation required to perform image processing. Without appropriate image processing algorithms, however, these cameras cannot be effectivel ...

    SBIR Phase I 2005 Department of DefenseAir Force
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