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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. Ordnance Handling MultiAgent System (OHMAS)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: N092096

    In today’s asymmetric warfare, there is a clear need to accelerate the flow of weapons from magazine to aircraft. This involves developing a semi-automated system that will significantly improve ordnance handling aboard air-capable ships. This system should prepare a Weapons Handling Plan using as much autonomy as the Weapons Department personnel are comfortable with, from collaborative software ...

    SBIR Phase I 2009 Department of DefenseNavy
  2. Sensor And Track Fusion for Collaborative Reconnaissance (SEA TRAFFCR)

    SBC: 21ST CENTURY SYSTEMS, INC.            Topic: N091068

    The driving force behind ONR’s unmanned sea surface vehicle (USSV) program is the great potential for these versatile vehicles to support Navy ships in the littoral environment. However, if USSVs are to fulfill this expectation, efforts must be made to make them less challenging to operate in order to reduce the manpower footprint. In a perfect world, these systems would be cooperative heterogen ...

    SBIR Phase I 2009 Department of DefenseNavy
  3. PRESAGE

    SBC: DEUMBRA, INC.            Topic: N08084

    PRESAGE is a robust computational tool that employs artificial neural network machine learning technologies to automate the analysis of extremely large sets of unstructured information. The PRESAGE solution takes a broad view of unstructured information analysis, learning correlations between on-the-ground threat risk and trends in sentiment, themes, and other textual features extracted from large ...

    SBIR Phase II 2009 Department of DefenseNavy
  4. ASCRIBE

    SBC: DEUMBRA, INC.            Topic: N091076

    Asymmetric actors and the networks in which they operate are prominent components in the modern battlespace. While the United States has developed sophisticated data gathering capabilities and recent technological innovations have led to improved information fusion, massive volumes of data remain unused or under-used because the data cannot be converted into the information that the warfighter nee ...

    SBIR Phase I 2009 Department of DefenseNavy
  5. Techniques for Automatically Exploiting Passive Acoustic Sonar Data

    SBC: 3 Phoenix, Inc.            Topic: N06138

    The Navy reduced manning requirements drive the need for more sonar automation. Automatically detecting and classifying targets of interest meets the challenge of reduced manning and workloads required for passive anti-submarine warfare (ASW) and torpedo detection, classification and localization (TDCL). Under SBIR Phase I Topic N06-138, the team of 3 Phoenix, Inc and General Dynamics - Advanced I ...

    SBIR Phase II 2009 Department of DefenseNavy
  6. RF Over Optical Fiber

    SBC: 3 Phoenix, Inc.            Topic: AF06273

    This Small Business Innovation Research (SBIR) Phase II proposal leverages technologies developed under SBIR Topic AF06-273 to develop cost-effective technology for Radio Frequency (RF) signal distribution over fiber onboard submarines. The technology has the ability to reduce RF signal loss over long distances and across a wide frequency range; reduce the number of hull penetrations; support mast ...

    SBIR Phase II 2009 Department of DefenseNavy
  7. Embedded Training Techniques for Target Discrimination Systems

    SBC: 3 Phoenix, Inc.            Topic: N08209

    Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...

    SBIR Phase I 2009 Department of DefenseNavy
  8. In situ learning for underwater object recognition

    SBC: 3 Phoenix, Inc.            Topic: N091066

    Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...

    SBIR Phase I 2009 Department of DefenseNavy
  9. Portable Non-Contact Heating and Soldering Tool

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N091007

    Currently available soldering and heat gun systems have several significant deficiencies that can result in lower quality repairs and higher maintenance costs. The existing soldering irons naturally lead to cross-contamination between leaded and lead-free solders, resulting in degraded solder joints. The existing heat guns require bulky accessories and/or external electric power, making them unwie ...

    SBIR Phase I 2009 Department of DefenseNavy
  10. Passive Coherent Laser Amplifier Combining

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N07210

    Accurate Automation Corporation (AAC) will have two existing NAVSEA 1 kW fiber laser amplifiers modified to correct a previously identified problem of four-wave mixing. After testing to verify performance of the refurbished laser amplifiers, AAC will conduct tests with this equipment using a passive coherent combining technique patented by Northrop Grumman Corporation. The testing will indicate th ...

    SBIR Phase II 2009 Department of DefenseNavy
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