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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. 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
  2. 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
  3. Information Fusion System for Counter-Terrorism Operations

    SBC: DEUMBRA, INC.            Topic: OSD03027

    21 st Century Technologies Inc proposes the Integrated Fusion Dashboard, a level 2-3 knowledge-based asymmetric pattern recognition, detection, and fusion framework supporting persistent and adaptive surveillance collection strategies. We shall exploit specialized detectors, learning and reasoning algorithms, and social network analysis that access integrated Multi-INT data and synergistically ...

    SBIR Phase II 2005 Department of DefenseNavy
  4. 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
  5. 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
  6. Strategic Effects-based Objective Approach to Determine the Likelihood of Possible Terrorist Attacks

    SBC: DEUMBRA, INC.            Topic: HSB041004

    The goal of this research is to extend TMODS (Terrorist Modus Operandi Detection System), that has been funded by DARPA¿s EELD (Evidence Extraction and Link Discovery) and Genoa 2, and TIA programs. TMODS uses terrorist network analysis (TNA) to build the representation for abnormal social networks indicative of terrorist or illicit network-centric cells and searches for these patterns in huge po ...

    SBIR Phase II 2005 Department of Homeland Security
  7. 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
  8. 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
  9. 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
  10. APEX: Adaptive and Peripheral surveillance fusion Engine

    SBC: DEUMBRA, INC.            Topic: N05T019

    It is computationally infeasible to implement a complete Level 2/3-fusion solution that has detailed knowledge of all parts of an area of interest all the time. A staged approach is needed where the first stage implements a real time peripheral vision sensor analysis to identify asymmetric threats. The second stage implements a "foveal vision" sensor analysis that identifies, links and validates a ...

    STTR Phase I 2005 Department of DefenseNavy
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