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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. Hierarchical Grid Referenced Normalized Display (HiGRND)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: HSB062005

    In an Urban Search and Rescue (USAR) situation, the ability for the rescuers to maintain an accurate and comprehensive situational awareness is critical to allow them to maximize their effectiveness in a chaotic and dangerous environment. Timeliness is paramount to saving lives, and miscommunications lead to potentially unnecessary deaths. 21st Century Systems, Incorporated is pleased to propose c ...

    SBIR Phase II 2008 Department of Homeland Security
  2. Proactive Predictive Machine Maintenance (P2M2)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: N06T033

    Dependable electrical power is critical for complex weapon systems. An advanced diagnostic and prognostic capability would improve the Navy’s fight-through capability. 21st Century Systems, Incorporated is teaming with the University of Missouri – Rolla and Qualtech Systems, Incorporated to continue research and development of a system that will provide automated health monitoring and self-hea ...

    STTR Phase II 2008 Department of DefenseNavy
  3. C-RAM: Cognitively-Based Rapid Assessment Methodology

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: N06T025

    The essence of information assessment is the process of distinguishing signals from noise. In the military, intelligence analysts are constantly searching for signals that might suggest an adversary’s intentions. In each case, the analyst must search through a quantity of data, searching for meaningful patterns within the preponderance of noise. In many cases, it becomes necessary to divide the ...

    STTR Phase II 2008 Department of DefenseNavy
  4. A fast pulse, portable fast neutron source for special nuclear materials detection

    SBC: ALAMEDA APPLIED SCIENCES CORPORATION            Topic: HSB072007

    Alameda Applied Sciences Corp proposes to develop a fast pulse, portable, fast neutron source to detect SNM in the field. Our source offers a less than 100ns neutron pulse with a repetition rate up to 100Hz. The goal is to develop a source with 1000hrs of continuous operation at greater than 1E8 n/s. The Phase II program will develop and validate a prototype for SNM detection. The commercial goal ...

    SBIR Phase II 2008 Department of Homeland Security
  5. Impact Modeling and Prediction of Attacks on Cyber Targets (IMPACT)

    SBC: DEUMBRA, INC.            Topic: OSD06IA3

    Cyber networks are a critical part of the nation’s security. Not only do cyber networks protect critical and sensitive information, they also enable vital functions both in the U.S. and abroad, in the military as well as in the commercial realm and are therefore a valuable target for international and domestic adversaries. Systems administrators and analysts are faced with a near-impossible tas ...

    SBIR Phase II 2008 Department of DefenseAir Force
  6. Global Information Grid Automated Document Classification and Summarization System

    SBC: DEUMBRA, INC.            Topic: OSD07I08

    The Department of Defense (DoD) requires an automated process to aid the timely dissemination of information to those with need to know without exposing secure information. Though security requirements often take a higher priority than users’ need for information, it is also imperative that actionable intelligence be received by warfighters, analysts, and agents who actively prevent security thr ...

    SBIR Phase II 2008 Department of DefenseAir Force
  7. Human and Unmanned Teams for Tracking Elusive Dismounts (HUNTED)

    SBC: DEUMBRA, INC.            Topic: OSD06UM2

    21st Century Technologies, Inc. (21CT) presents the Human and Unmanned Teaming for Tracking Elusive Dismounts (HUNTED) effort. HUNTED gives small units direct control over a coordinated team of two or more unmanned systems (UMS) to perform superior search, detection, and tracking of elusive pedestrian targets in an urban environment. Our novel approach combines 3D environment knowledge with a uniq ...

    SBIR Phase II 2008 Department of DefenseAir Force
  8. Theory and Application of Foveated Acquisition and Tracking (TAFAT)

    SBC: DEUMBRA, INC.            Topic: AF071155

    Foveated imagery is ubiquitous in nature, and foveating sensors offer the potential for superior performance in artificial vision systems. However, technical and user acceptance barriers caused in part by a lack of mature theory currently hinder the exploitation of foveated imagery on the battlefield. Our TAFAT Phase 1 experiments conclusively demonstrated that under reasonable assumptions and wit ...

    SBIR Phase II 2008 Department of DefenseAir Force
  9. SENTRY: IED COUNTERMEASURE SIMULATION & PREDICTION TOOL

    SBC: DEUMBRA, INC.            Topic: N07080

    According to the Iraq Study Group, US Forces must continue to support Iraq to prevent the government from falling and being influenced by neighboring countries (Syria and Iran) and to prevent a propaganda coupe for Al Qaeda and the spread of radical Islam. Our soldiers, marines, and sailors are regularly subject to IED attacks by Shi’a militia, Sunni insurgents, and Al Qaeda. Improvised explosi ...

    SBIR Phase II 2008 Department of DefenseNavy
  10. AALF: Adjustable Adaptive Language speech Filter

    SBC: DEUMBRA, INC.            Topic: AF071079

    The ability to efficiently process intelligence data is critical to fighting the global war on terror. A major source of this data is recorded speech. Therefore, the performance of speech processing applications (speech recognition and speaker identification applications, for example) depends on pre-processing to find the regions in the recording where speech is present. Although current method ...

    SBIR Phase II 2008 Department of DefenseAir Force
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